{ "schemaVersion": 1, "rubricVersion": "1.1", "kind": "pair", "slug": "librechat-vs-unique-ai", "canonicalUrl": "https://onaihq.com/compare/agents/librechat-vs-unique-ai/", "markdownUrl": "https://onaihq.com/compare/agents/librechat-vs-unique-ai/index.md", "dataUrl": "https://onaihq.com/compare/agents/librechat-vs-unique-ai/data.json", "generatedAt": "2026-10-27", "lastCheckedAt": "2026-10-26", "lastCrossCheckedAt": "2026-10-26", "nextCheckAt": "2026-12-20", "publisher": { "name": "onAI", "url": "https://onaihq.com", "marketParticipant": true, "editorialControl": "onAI selects the products, rubric, sources and wording, including for comparisons that do not include onAI.", "disclosure": "Published by onAI. onAI also sells one of the products compared here. Findings about other products link to public sources so you can check them; statements about onAI are marked as stated by onAI." }, "products": [ { "id": "librechat", "name": "LibreChat", "website": "https://www.librechat.ai", "repository": "https://github.com/LibreChat-AI/LibreChat", "pageUrl": "https://onaihq.com/compare/agents/products/librechat/", "lifecycle": { "status": "unknown", "note": null }, "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" }, { "id": "public-demo", "name": "LibreChat public evaluation demo", "type": "hosted-demo" }, { "id": "admin-panel-preview", "name": "Separately deployed LibreChat Admin Panel preview", "type": "administration" } ], "sourcedClaimCount": 47, "statedByVendorCount": 0, "crossCheckedClaimCount": 47, "sourcedOnlyClaimCount": 0, "oldestCheckedAt": "2026-10-21", "lastCheckedAt": "2026-10-26" }, { "id": "unique-ai", "name": "Unique AI", "website": "https://www.unique.ai", "repository": null, "pageUrl": "https://onaihq.com/compare/agents/products/unique-ai/", "lifecycle": { "status": "unknown", "note": null }, "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "conduct", "name": "Unique AI Conduct", "type": "agent-workspace" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" }, { "id": "mcp", "name": "Unique MCP Hub and Knowledge Base MCP", "type": "mcp" } ], "sourcedClaimCount": 49, "statedByVendorCount": 0, "crossCheckedClaimCount": 49, "sourcedOnlyClaimCount": 0, "oldestCheckedAt": "2026-10-21", "lastCheckedAt": "2026-10-26" } ], "coverage": { "totalCriteria": 51, "sharedCrossCheckedCriteria": 46, "sharedSourcedCriteria": 46, "crossCheckedCriteriaByProduct": { "librechat": 47, "unique-ai": 49 }, "sourcedOnlyCriteriaByProduct": { "librechat": 0, "unique-ai": 0 }, "sourcedCriteriaByProduct": { "librechat": 47, "unique-ai": 49 }, "crossCheckedCriterionRows": 50, "sourcedOnlyCriterionRows": 0, "sourcedCriterionRows": 50, "statedByVendorRows": 0 }, "criteria": [ { "id": "MOD-01", "title": "Model catalogue and providers", "group": { "id": 1, "name": "Models" }, "judgment": "List each available model by provider and plan, including reasoning, fast and multimodal variants. Record whether the user picks the model, the product routes automatically, or both. A provider counts only if at least one of its current models is selectable on the scoped plan.", "questions": [ { "id": "providers", "question": "Which model providers are available?" }, { "id": "current_models", "question": "Which current models are selectable on this plan?" }, { "id": "user_choice", "question": "Can users pick the model per chat?" }, { "id": "auto_routing", "question": "Does the product route between models automatically, and is the chosen model shown?" }, { "id": "multimodal_input", "question": "Which models accept images, audio or files?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:MOD-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The model catalog is configured by the customer across first-party provider integrations and custom endpoints.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "providers", "question": "Which model providers are available?", "support": "partial", "answer": "Documented routes include OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock and custom compatible services; selection requires enabled credentials and model access.", "evidenceIds": [ "librechat:librechat:custom", "librechat:librechat:azure", "librechat:librechat:bedrock", "librechat:librechat:vertex" ] }, { "id": "current_models", "question": "Which current models are selectable on this plan?", "support": "partial", "answer": "v0.8.8 release notes mention GPT-6/GPT-6.1 Sol, Claude Opus/Sonnet 5.5 and Gemini 3.8 Flash support. Actual selectable IDs still depend on the installed configuration and provider account.", "evidenceIds": [ "librechat:librechat:releases" ] }, { "id": "user_choice", "question": "Can users pick the model per chat?", "support": "supported", "answer": "Users choose an endpoint/model unless admins enforce model specs or a fixed Agent.", "evidenceIds": [ "librechat:librechat:modelspec", "librechat:librechat:agents" ] }, { "id": "auto_routing", "question": "Does the product route between models automatically, and is the chosen model shown?", "support": "unknown", "answer": "auto_routing: Does the product route between models automatically, and is the chosen model shown? No automatic routing policy showing a chosen model was established, and no configured endpoint was exercised.", "evidenceIds": [] }, { "id": "multimodal_input", "question": "Which models accept images, audio or files?", "support": "partial", "answer": "Provider-native files support images/PDFs and some providers accept additional Office/audio/video types. Exact acceptance depends on the selected model and transport; no matrix was tested.", "evidenceIds": [ "librechat:librechat:ocr" ] } ], "limitations": [ "providers: Documented routes include OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock and custom compatible services; selection requires enabled credentials and model access.", "current_models: v0.8.8 release notes mention GPT-6/GPT-6.1 Sol, Claude Opus/Sonnet 5.5 and Gemini 3.8 Flash support. Actual selectable IDs still depend on the installed configuration and provider account.", "auto_routing: Does the product route between models automatically, and is the chosen model shown? No automatic routing policy showing a chosen model was established, and no configured endpoint was exercised.", "multimodal_input: Provider-native files support images/PDFs and some providers accept additional Office/audio/video types. Exact acceptance depends on the selected model and transport; no matrix was tested." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:custom", "librechat:librechat:azure", "librechat:librechat:bedrock", "librechat:librechat:vertex", "librechat:librechat:releases", "librechat:librechat:modelspec", "librechat:librechat:agents", "librechat:librechat:ocr" ] }, { "productId": "unique-ai", "claimId": "unique-ai:MOD-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The platform catalogue supports several providers, subject to tenant credentials, contracts and validation status.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "providers", "question": "Which model providers are available?", "support": "partial", "answer": "Catalogue includes Azure OpenAI/OpenAI, Anthropic, Google Gemini/Vertex, Together AI and xAI. Provider use must be agreed with each client; a catalogue row is not proof every tenant has it.", "evidenceIds": [ "unique-ai:unique-ai:models" ] }, { "id": "current_models", "question": "Which current models are selectable on this plan?", "support": "partial", "answer": "Release 2026.42, hosted 14 October, explicitly adds Azure GPT-6.1 Sol and Claude Opus/Sonnet 5.5 through Anthropic/Vertex. Availability overview also lists Gemini3.8 Flash; provider/tenant credentials and validation differ.", "evidenceIds": [ "unique-ai:unique-ai:release42", "unique-ai:unique-ai:models" ] }, { "id": "user_choice", "question": "Can users pick the model per chat?", "support": "partial", "answer": "Space admins set enabled models; release notes describe chat model switching and API per-message model selection under the same rules. Conduct choices depend on administrator configuration.", "evidenceIds": [ "unique-ai:unique-ai:release42", "unique-ai:unique-ai:agent", "unique-ai:unique-ai:conduct" ] }, { "id": "auto_routing", "question": "Does the product route between models automatically, and is the chosen model shown?", "support": "unknown", "answer": "Does the product route between models automatically, and is the chosen model shown? Unknown. Exact contracted/activated models, automatic cross-model routing and a complete image/audio/file matrix were not established. Catalogue dates include future release identifiers; dated additions and tenant eligibility take precedence over a release number.", "evidenceIds": [] }, { "id": "multimodal_input", "question": "Which models accept images, audio or files?", "support": "unknown", "answer": "Which models accept images, audio or files? Unknown. Exact contracted/activated models, automatic cross-model routing and a complete image/audio/file matrix were not established. Catalogue dates include future release identifiers; dated additions and tenant eligibility take precedence over a release number.", "evidenceIds": [] } ], "limitations": [ "Exact contracted/activated models, automatic cross-model routing and a complete image/audio/file matrix were not established. Catalogue dates include future release identifiers; dated additions and tenant eligibility take precedence over a release number." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:models", "unique-ai:unique-ai:agent", "unique-ai:unique-ai:conduct", "unique-ai:unique-ai:release42" ] } ] }, { "id": "MOD-02", "title": "Model freshness", "group": { "id": 1, "name": "Models" }, "judgment": "Measure the days from a provider's general release to availability in the product for the last three major releases from OpenAI, Anthropic and Google (and Mistral where offered). Use dated changelogs or observation. Record deprecation notice for retired models.", "questions": [ { "id": "release_lag_days", "question": "What was the lag for each of the last three major releases, per provider?" }, { "id": "changelog", "question": "Is there a dated public model changelog?" }, { "id": "deprecation_notice", "question": "How much notice is given before a model is removed?" }, { "id": "version_pinning", "question": "Can an admin keep an older model version?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:MOD-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Dated releases document model updates, but measured availability lags and retirement notice periods remain unknown.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "release_lag_days", "question": "What was the lag for each of the last three major releases, per provider?", "support": "unknown", "answer": "release_lag_days: What was the lag for each of the last three major releases, per provider? No paired general-release/LibreChat-availability dates for the last three major releases per provider, or binding retirement-notice period, were established.", "evidenceIds": [] }, { "id": "changelog", "question": "Is there a dated public model changelog?", "support": "supported", "answer": "Public releases and the LibreChat changelog date model updates; v0.8.8 was published 2026-10-01.", "evidenceIds": [ "librechat:librechat:releases" ] }, { "id": "deprecation_notice", "question": "How much notice is given before a model is removed?", "support": "unknown", "answer": "deprecation_notice: How much notice is given before a model is removed? No paired general-release/LibreChat-availability dates for the last three major releases per provider, or binding retirement-notice period, were established.", "evidenceIds": [] }, { "id": "version_pinning", "question": "Can an admin keep an older model version?", "support": "partial", "answer": "Admins can name explicit model IDs in endpoints/model specs; continuing remote availability remains under provider control.", "evidenceIds": [ "librechat:librechat:modelspec", "librechat:librechat:custom" ] } ], "limitations": [ "release_lag_days: What was the lag for each of the last three major releases, per provider? No paired general-release/LibreChat-availability dates for the last three major releases per provider, or binding retirement-notice period, were established.", "deprecation_notice: How much notice is given before a model is removed? No paired general-release/LibreChat-availability dates for the last three major releases per provider, or binding retirement-notice period, were established.", "version_pinning: Admins can name explicit model IDs in endpoints/model specs; continuing remote availability remains under provider control." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:releases", "librechat:librechat:modelspec", "librechat:librechat:custom" ] }, { "productId": "unique-ai", "claimId": "unique-ai:MOD-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Unique publishes dated model additions and retirement/migration notes; a complete provider-release lag series remains unknown.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "release_lag_days", "question": "What was the lag for each of the last three major releases, per provider?", "support": "unknown", "answer": "What was the lag for each of the last three major releases, per provider? Unknown. A provider-verified last-three-major-release lag series for OpenAI, Anthropic and Google was not assembled; availability can depend on each contract. Admin version-pinning guarantees are not documented.", "evidenceIds": [] }, { "id": "changelog", "question": "Is there a dated public model changelog?", "support": "supported", "answer": "Availability overview has a dated Recent changes table through 13 October 2026, with provider retirement sources.", "evidenceIds": [ "unique-ai:unique-ai:models" ] }, { "id": "deprecation_notice", "question": "How much notice is given before a model is removed?", "support": "partial", "answer": "Dated 14 October release announces migrations ahead of o-series provider retirement on 19 November 2026. No guaranteed Unique contractual notice period is established.", "evidenceIds": [ "unique-ai:unique-ai:release42" ] }, { "id": "version_pinning", "question": "Can an admin keep an older model version?", "support": "unknown", "answer": "Can an admin keep an older model version? Unknown. A provider-verified last-three-major-release lag series for OpenAI, Anthropic and Google was not assembled; availability can depend on each contract. Admin version-pinning guarantees are not documented.", "evidenceIds": [] } ], "limitations": [ "A provider-verified last-three-major-release lag series for OpenAI, Anthropic and Google was not assembled; availability can depend on each contract. Admin version-pinning guarantees are not documented." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:models", "unique-ai:unique-ai:release42" ] } ] }, { "id": "MOD-03", "title": "Bring-your-own keys and provider contracts", "group": { "id": 1, "name": "Models" }, "judgment": "Record customer-held API keys, customer cloud accounts (Azure OpenAI, Bedrock, Vertex), and aggregator routes (OpenRouter, LiteLLM) as separate routes. Record what still works without a vendor-provided model, whether prices change with BYO, and documented restrictions. API-key support does not imply support for the customer's own Azure contract.", "questions": [ { "id": "own_api_keys", "question": "Can the customer use its own provider API keys?" }, { "id": "own_cloud_contract", "question": "Can it use its own Azure OpenAI, Bedrock or Vertex deployment?" }, { "id": "custom_endpoint", "question": "Can an admin add any OpenAI-compatible endpoint?" }, { "id": "byo_pricing", "question": "Does BYO change the licence price?" }, { "id": "byo_restrictions", "question": "Which features stop working with BYO?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:MOD-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Customer-held provider keys, customer Azure/AWS/Vertex configurations and custom endpoints are documented.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "own_api_keys", "question": "Can the customer use its own provider API keys?", "support": "supported", "answer": "Provider keys can be operator-supplied or user_provided, with user key controls in Settings.", "evidenceIds": [ "librechat:librechat:firstchat", "librechat:librechat:custom" ] }, { "id": "own_cloud_contract", "question": "Can it use its own Azure OpenAI, Bedrock or Vertex deployment?", "support": "supported", "answer": "Customer Azure OpenAI deployments, AWS Bedrock region/credentials and Anthropic Vertex project/region routes are documented separately.", "evidenceIds": [ "librechat:librechat:azure", "librechat:librechat:bedrock", "librechat:librechat:vertex" ] }, { "id": "custom_endpoint", "question": "Can an admin add any OpenAI-compatible endpoint?", "support": "supported", "answer": "Operators can configure a custom compatible API URL and model list.", "evidenceIds": [ "librechat:librechat:custom" ] }, { "id": "byo_pricing", "question": "Does BYO change the licence price?", "support": "supported", "answer": "MIT repository use has no per-seat licence fee; customers separately procure provider service usage.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:firstchat" ] }, { "id": "byo_restrictions", "question": "Which features stop working with BYO?", "support": "partial", "answer": "File modalities, tools and other capabilities depend on provider/model support and optional services. A universal BYO feature-parity guarantee was not established.", "evidenceIds": [ "librechat:librechat:ocr", "librechat:librechat:code" ] } ], "limitations": [ "byo_restrictions: File modalities, tools and other capabilities depend on provider/model support and optional services. A universal BYO feature-parity guarantee was not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:firstchat", "librechat:librechat:custom", "librechat:librechat:azure", "librechat:librechat:bedrock", "librechat:librechat:vertex", "librechat:librechat:license", "librechat:librechat:ocr", "librechat:librechat:code" ] }, { "productId": "unique-ai", "claimId": "unique-ai:MOD-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Operators can configure customer model endpoints and credentials through GraphQL.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "own_api_keys", "question": "Can the customer use its own provider API keys?", "support": "supported", "answer": "ExternalLanguageModel accepts provider API credentials stored encrypted as immutable write-only values; OAuth2 is also documented.", "evidenceIds": [ "unique-ai:unique-ai:customllm" ] }, { "id": "own_cloud_contract", "question": "Can it use its own Azure OpenAI, Bedrock or Vertex deployment?", "support": "partial", "answer": "Custom Azure OpenAI deployment examples specify customer endpoint, deployment, API version and token. Compliance docs mention Bedrock; exact supported Bedrock/Vertex contract routes need deployment scoping.", "evidenceIds": [ "unique-ai:unique-ai:customllm", "unique-ai:unique-ai:compliance" ] }, { "id": "custom_endpoint", "question": "Can an admin add any OpenAI-compatible endpoint?", "support": "partial", "answer": "Documents self/cloud-hosted LXM endpoints and an Azure-compatible connection object. Universal support for any OpenAI-compatible endpoint is not guaranteed.", "evidenceIds": [ "unique-ai:unique-ai:customllm" ] }, { "id": "byo_pricing", "question": "Does BYO change the licence price?", "support": "unknown", "answer": "Does BYO change the licence price? Unknown. BYO licence discounts, provider-by-provider contract onboarding and a full tool/RAG/embedding parity matrix are not public.", "evidenceIds": [] }, { "id": "byo_restrictions", "question": "Which features stop working with BYO?", "support": "partial", "answer": "Azure Chat Code Execution requires compatible Azure Responses models; switching a custom model group name/deleting an in-use group can break configured assistants.", "evidenceIds": [ "unique-ai:unique-ai:customllm", "unique-ai:unique-ai:code" ] } ], "limitations": [ "BYO licence discounts, provider-by-provider contract onboarding and a full tool/RAG/embedding parity matrix are not public." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:customllm", "unique-ai:unique-ai:compliance", "unique-ai:unique-ai:code" ] } ] }, { "id": "MOD-04", "title": "Local and self-hosted models", "group": { "id": 1, "name": "Models" }, "judgment": "Record support for models running in the customer's environment (vLLM, Ollama, TGI or similar) and which features work with them: chat, RAG, tools, embeddings. Distinguish a documented, supported route from a generic endpoint that happens to work.", "questions": [ { "id": "self_hosted_chat", "question": "Can chat use a customer-hosted model?" }, { "id": "self_hosted_embeddings", "question": "Can retrieval use customer-hosted embeddings?" }, { "id": "feature_parity", "question": "Which features fail with self-hosted models?" }, { "id": "vendor_hosted_open_models", "question": "Does the vendor host open-weight models in EU/CH?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:MOD-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Local compatible inference and Ollama embeddings are documented; optional services must also be local for a fully private stack.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "self_hosted_chat", "question": "Can chat use a customer-hosted model?", "support": "supported", "answer": "Custom endpoints can point at customer-hosted compatible model servers, including Ollama-compatible setups.", "evidenceIds": [ "librechat:librechat:custom" ] }, { "id": "self_hosted_embeddings", "question": "Can retrieval use customer-hosted embeddings?", "support": "supported", "answer": "The RAG configuration documents Ollama embeddings and local Hugging Face through the appropriate full image.", "evidenceIds": [ "librechat:librechat:ragcfg" ] }, { "id": "feature_parity", "question": "Which features fail with self-hosted models?", "support": "partial", "answer": "Chat and retrieval can use local endpoints. Tool calling and vision depend on the model; external OCR/search/code services are separate. No complete offline fixture was run.", "evidenceIds": [ "librechat:librechat:ragcfg", "librechat:librechat:ocr", "librechat:librechat:code" ] }, { "id": "vendor_hosted_open_models", "question": "Does the vendor host open-weight models in EU/CH?", "support": "unknown", "answer": "vendor_hosted_open_models: Does the vendor host open-weight models in EU/CH? A vendor-hosted EU/Swiss open-weight model service was not established for the MIT self-hosted project.", "evidenceIds": [] } ], "limitations": [ "feature_parity: Chat and retrieval can use local endpoints. Tool calling and vision depend on the model; external OCR/search/code services are separate. No complete offline fixture was run.", "vendor_hosted_open_models: Does the vendor host open-weight models in EU/CH? A vendor-hosted EU/Swiss open-weight model service was not established for the MIT self-hosted project." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:custom", "librechat:librechat:ragcfg", "librechat:librechat:ocr", "librechat:librechat:code" ] }, { "productId": "unique-ai", "claimId": "unique-ai:MOD-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The platform documents custom model and embedding connections. Tool parity depends on the selected route: Code Execution lists Azure and LiteLLM OpenAI compatibility, while arbitrary self-hosted model parity is unverified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform; custom-model/embedding connectors and optional Code Execution availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "self_hosted_chat", "question": "Can chat use a customer-hosted model?", "support": "supported", "answer": "Custom LXM and on-premises architecture allow customer-hosted model connections. Models, endpoint compatibility and enabled modules are selected for the contracted deployment.", "evidenceIds": [ "unique-ai:unique-ai:customllm", "unique-ai:unique-ai:onpremsecurity" ] }, { "id": "self_hosted_embeddings", "question": "Can retrieval use customer-hosted embeddings?", "support": "partial", "answer": "An instance maintainer can configure embedding endpoint, key and deployment; the operator overview allows self-hosted embeddings. Supported non-Azure runtimes and a particular customer configuration were not verified.", "evidenceIds": [ "unique-ai:unique-ai:embeddings", "unique-ai:unique-ai:operators" ] }, { "id": "feature_parity", "question": "Which features fail with self-hosted models?", "support": "partial", "answer": "Changing embeddings requires re-embedding existing files. The Code Execution compatibility section explicitly lists Azure Responses-capable IDs and LiteLLM OpenAI IDs, so no blanket Azure-only restriction is asserted. Its introduction/security section describes an Azure sandbox; the actual LiteLLM execution route and parity for arbitrary self-hosted models remain unverified.", "evidenceIds": [ "unique-ai:unique-ai:embeddings", "unique-ai:unique-ai:review2-code" ] }, { "id": "vendor_hosted_open_models", "question": "Does the vendor host open-weight models in EU/CH?", "support": "partial", "answer": "The model catalogue describes Swiss Phoeniqs open models in QA only, not the UAT01/Prod offer. Production entitlement to a vendor-hosted Swiss open model was not established.", "evidenceIds": [ "unique-ai:unique-ai:review2-models" ] } ], "limitations": [ "Code Execution has a listed Responses-capability/model matrix, not universal support for every custom-hosted model. Azure sandbox controls are not extended to every LiteLLM route.", "No customer runtime or feature-parity fixture was used; QA-only Phoeniqs is not presented as GA." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:customllm", "unique-ai:unique-ai:onpremsecurity", "unique-ai:unique-ai:embeddings", "unique-ai:unique-ai:operators", "unique-ai:unique-ai:review2-code", "unique-ai:unique-ai:review2-models" ] } ] }, { "id": "MOD-05", "title": "Model control and usage limits", "group": { "id": 1, "name": "Models" }, "judgment": "Record admin allow-lists per group, default models, restrictions on which models may see which data, and per-user rate or fair-use limits. Test one restriction with two users in different groups. Record limits as enforced stops, warnings or undocumented fair use.", "questions": [ { "id": "model_allowlist_by_group", "question": "Can admins limit models per group?" }, { "id": "data_bound_models", "question": "Can admins restrict which models receive connector or knowledge content?" }, { "id": "default_model", "question": "Can admins set the default model?" }, { "id": "user_limits", "question": "What per-user message or token limits apply, and are they published?" }, { "id": "limit_behaviour", "question": "What happens when a limit is reached?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:MOD-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Model specs and scoped configuration can limit choices; optional user credit reservations provide a blocking mechanism.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "model_allowlist_by_group", "question": "Can admins limit models per group?", "support": "partial", "answer": "Enforced model specs and role/group configuration overrides can restrict available endpoints/models. The separate management UI is preview; a two-group fixture was not run.", "evidenceIds": [ "librechat:librechat:modelspec", "librechat:librechat:admin", "librechat:librechat:access" ] }, { "id": "data_bound_models", "question": "Can admins restrict which models receive connector or knowledge content?", "support": "unknown", "answer": "data_bound_models: Can admins restrict which models receive connector or knowledge content? A hard binding between each enterprise content source and a permitted model provider was not established in the Agent and access-control guides.", "evidenceIds": [] }, { "id": "default_model", "question": "Can admins set the default model?", "support": "supported", "answer": "Model-spec presets can define default endpoint/model configurations.", "evidenceIds": [ "librechat:librechat:modelspec" ] }, { "id": "user_limits", "question": "What per-user message or token limits apply, and are they published?", "support": "partial", "answer": "Balance tracking, initial credits/refills and message moderation limits are operator-configurable, rather than a universal vendor allowance.", "evidenceIds": [ "librechat:librechat:balance", "librechat:librechat:mod" ] }, { "id": "limit_behaviour", "question": "What happens when a limit is reached?", "support": "supported", "answer": "Pinned checkBalance reserves credits and throws a TOKEN_BALANCE error when insufficient. This establishes a blocking code path, not an observed end-to-end quota test.", "evidenceIds": [ "librechat:librechat:balance-pin" ] } ], "limitations": [ "model_allowlist_by_group: Enforced model specs and role/group configuration overrides can restrict available endpoints/models. The separate management UI is preview; a two-group fixture was not run.", "data_bound_models: Can admins restrict which models receive connector or knowledge content? A hard binding between each enterprise content source and a permitted model provider was not established in the Agent and access-control guides.", "user_limits: Balance tracking, initial credits/refills and message moderation limits are operator-configurable, rather than a universal vendor allowance." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:modelspec", "librechat:librechat:admin", "librechat:librechat:access", "librechat:librechat:balance", "librechat:librechat:mod", "librechat:librechat:balance-pin" ] }, { "productId": "unique-ai", "claimId": "unique-ai:MOD-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Models and knowledge/tools are configured per access-controlled Space; optional beta daily spending caps block calls.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "model_allowlist_by_group", "question": "Can admins limit models per group?", "support": "partial", "answer": "Admins bind deployed/approved models to Spaces and grant people/groups space access. Direct per-group model lists across all chats are not documented.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "data_bound_models", "question": "Can admins restrict which models receive connector or knowledge content?", "support": "partial", "answer": "A Space binds one model, selected KB sources and tools, and people/group access. A global connector-content model policy is not established.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "default_model", "question": "Can admins set the default model?", "support": "supported", "answer": "Administrators select the model for each Space.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "user_limits", "question": "What per-user message or token limits apply, and are they published?", "support": "partial", "answer": "Off-by-default beta cost management supports daily USD limits at company/group/user levels, reset at user-local midnight. Public fixed token/message quotas are not established.", "evidenceIds": [ "unique-ai:unique-ai:cost" ] }, { "id": "limit_behaviour", "question": "What happens when a limit is reached?", "support": "supported", "answer": "With limits enabled, the next model call is blocked when daily spend reaches the cap. Most permissive group limit wins unless a user override exists.", "evidenceIds": [ "unique-ai:unique-ai:cost" ] } ], "limitations": [ "No two-group restriction fixture was run. Exact contract token/message limits, platform-wide model allow-lists and provider data-routing policy remain unverified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:cost" ] } ] }, { "id": "KNOW-01", "title": "Files in chat", "group": { "id": 2, "name": "Company knowledge" }, "judgment": "Record supported formats, size and count limits, scanned-PDF OCR, tables and spreadsheets, images inside documents, and whether a file is read in full or retrieved in chunks. Upload the shared fixture set (long German PDF, scanned contract, Excel with formulas, PowerPoint) and record failures.", "questions": [ { "id": "formats", "question": "Which formats are accepted?" }, { "id": "limits", "question": "What size and count limits apply per file and chat?" }, { "id": "ocr", "question": "Are scanned PDFs read?" }, { "id": "spreadsheets", "question": "Are Excel tables read with structure intact?" }, { "id": "full_vs_chunked", "question": "Is the whole file used or only retrieved parts, and does the user see which?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:KNOW-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Files can be indexed, injected as extracted text or sent directly to compatible model providers.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "New spreadsheet finding at development source a378657583567310c841d652b0f6b00c83e2bd6b; earlier accepted facts retain their cited release pins", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "formats", "question": "Which formats are accepted?", "support": "supported", "answer": "Documents include PDF/text/Office formats through configured extraction; provider-native acceptance varies, including Bedrock Office formats and Google audio/video.", "evidenceIds": [ "librechat:librechat:ocr", "librechat:librechat:filecfg" ] }, { "id": "limits", "question": "What size and count limits apply per file and chat?", "support": "partial", "answer": "File counts, sizes and MIME patterns are operator/endpoint settings; provider limits may be stricter. The shared fixture was not uploaded.", "evidenceIds": [ "librechat:librechat:filecfg", "librechat:librechat:ocr" ] }, { "id": "ocr", "question": "Are scanned PDFs read?", "support": "supported", "answer": "Optional Mistral OCR, Azure/Vertex Mistral OCR and provider-native file processing are documented.", "evidenceIds": [ "librechat:librechat:ocr" ] }, { "id": "spreadsheets", "question": "Are Excel tables read with structure intact?", "support": "partial", "answer": "The inspected built-in XLSX/XLS/ODS parser emits each sheet name and CSV values. The current guide lists a 15 MB built-in parser limit. Workbook formatting, formula recalculation and shared-fixture accuracy were not established.", "evidenceIds": [ "librechat:librechat:r4-spreadsheet-parser", "librechat:librechat:r4-text-current" ] }, { "id": "full_vs_chunked", "question": "Is the whole file used or only retrieved parts, and does the user see which?", "support": "supported", "answer": "RAG retrieves indexed chunks; Upload as Text and Agent File Context inject extracted full text, subject to context limits.", "evidenceIds": [ "librechat:librechat:rag", "librechat:librechat:text", "librechat:librechat:ocr" ] } ], "limitations": [ "File counts, sizes and provider acceptance depend on deployment settings.", "Spreadsheet parsing yields named sheets and CSV values; layout/formula fidelity and the shared fixture remain untested." ], "checkedAt": "2026-10-26", "crossCheckedAt": "2026-10-26", "nextCheckAt": "2026-12-25", "evidenceIds": [ "librechat:librechat:ocr", "librechat:librechat:filecfg", "librechat:librechat:rag", "librechat:librechat:text", "librechat:librechat:r4-spreadsheet-parser", "librechat:librechat:r4-text-current" ] }, { "productId": "unique-ai", "claimId": "unique-ai:KNOW-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Chat upload defaults are 512 MB/file and 30 files/batch, with source retrieval for large documents.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "formats", "question": "Which formats are accepted?", "support": "supported", "answer": "Chat supports PDF, DOCX, XLSX, PPTX, CSV, HTML, MD and TXT; PNG/JPEG when enabled per Space.", "evidenceIds": [ "unique-ai:unique-ai:files" ] }, { "id": "limits", "question": "What size and count limits apply per file and chat?", "support": "partial", "answer": "Production Chat defaults 512 MB/file, 30 files/upload. Code Execution has separate 100 MB and 10-file limits. Environment overrides and aggregate chat caps need tenant confirmation.", "evidenceIds": [ "unique-ai:unique-ai:files", "unique-ai:unique-ai:code" ] }, { "id": "ocr", "question": "Are scanned PDFs read?", "support": "partial", "answer": "The file-ingestion guide explicitly distinguishes methods: Base Unique Ingestion does not support image-based scanned PDFs, MDI supports them, and Docling has partial support. MDI must be provisioned and enabled for the folder or in the chat Space ingestion settings. Experimental image-content extraction and deprecated agentic ingestion are separate. No scanned-document fixture or accuracy measurement was run.", "evidenceIds": [ "unique-ai:unique-ai:file-ingestion-20261026" ] }, { "id": "spreadsheets", "question": "Are Excel tables read with structure intact?", "support": "partial", "answer": "Chat guide says default extraction can fail beyond 5,000 rows x 100 columns. General format guide lists 1,000 x 40; formulas and structure retention were not tested.", "evidenceIds": [ "unique-ai:unique-ai:files", "unique-ai:unique-ai:filetypes" ] }, { "id": "full_vs_chunked", "question": "Is the whole file used or only retrieved parts, and does the user see which?", "support": "supported", "answer": "Checked uploads force retrieval each turn. Large files contribute selected chunks, not necessarily the full file, and users do not see full coverage. Experimental full-PDF mode is separate.", "evidenceIds": [ "unique-ai:unique-ai:files" ] } ], "limitations": [ "Configured scanned-PDF OCR is documented: MDI supports image-based PDFs, Docling has partial support, and Base Unique Ingestion does not support them. MDI must be provisioned and enabled for the folder or chat Space.", "Scanned-PDF accuracy, formula preservation, embedded-figure extraction and shared fixture outcomes were not measured. Older general ingestion limits differ from current production chat defaults." ], "checkedAt": "2026-10-26", "crossCheckedAt": "2026-10-26", "nextCheckAt": "2026-12-25", "evidenceIds": [ "unique-ai:unique-ai:files", "unique-ai:unique-ai:code", "unique-ai:unique-ai:filetypes", "unique-ai:unique-ai:file-ingestion-20261026" ] } ] }, { "id": "KNOW-02", "title": "Knowledge bases and shared collections", "group": { "id": 2, "name": "Company knowledge" }, "judgment": "Record curated document collections that persist across chats, who can create and share them, size limits, and how they attach to assistants. Distinguish personal, group and organisation-wide scope.", "questions": [ { "id": "persistent_collections", "question": "Can users keep document collections across chats?" }, { "id": "sharing_scope", "question": "Can collections be shared with users, groups or the whole organisation?" }, { "id": "size_limits", "question": "What are the collection limits?" }, { "id": "assistant_binding", "question": "Can collections be bound to an assistant?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:KNOW-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Agents and personal Projects keep files across chats; shared Agent access is distinct from personal Project ownership.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "persistent_collections", "question": "Can users keep document collections across chats?", "support": "supported", "answer": "Agent File Search/File Context and Project reference files persist for later chats.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:projects" ] }, { "id": "sharing_scope", "question": "Can collections be shared with users, groups or the whole organisation?", "support": "partial", "answer": "Agents can share files/knowledge with permitted users/groups/roles; Projects themselves are personal and cannot be shared or transferred.", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:agents", "librechat:librechat:projects" ] }, { "id": "size_limits", "question": "What are the collection limits?", "support": "unknown", "answer": "size_limits: What are the collection limits? No universal collection storage/size allowance was established; limits are deployment and file-configuration dependent.", "evidenceIds": [] }, { "id": "assistant_binding", "question": "Can collections be bound to an assistant?", "support": "supported", "answer": "Agent File Search and File Context bind retrieved or extracted knowledge to an Agent.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:ocr" ] } ], "limitations": [ "sharing_scope: Agents can share files/knowledge with permitted users/groups/roles; Projects themselves are personal and cannot be shared or transferred.", "size_limits: What are the collection limits? No universal collection storage/size allowance was established; limits are deployment and file-configuration dependent." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:projects", "librechat:librechat:access", "librechat:librechat:ocr" ] }, { "productId": "unique-ai", "claimId": "unique-ai:KNOW-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Knowledge folders persist and can be scoped to users/groups and bound to Spaces.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "persistent_collections", "question": "Can users keep document collections across chats?", "support": "supported", "answer": "Ingested content lives in knowledge-base folders/scopes beyond a chat.", "evidenceIds": [ "unique-ai:unique-ai:kbpermissions" ] }, { "id": "sharing_scope", "question": "Can collections be shared with users, groups or the whole organisation?", "support": "supported", "answer": "ScopeAccess grants users or groups read/write access. A flat folder permission does not automatically grant subfolder access.", "evidenceIds": [ "unique-ai:unique-ai:kbpermissions" ] }, { "id": "size_limits", "question": "What are the collection limits?", "support": "unknown", "answer": "What are the collection limits? Unknown. Public total collection/document/token caps and organisation-wide sharing defaults are not specified; chat-only uploads are separately private and expiring.", "evidenceIds": [] }, { "id": "assistant_binding", "question": "Can collections be bound to an assistant?", "support": "supported", "answer": "Space Internal Search binds selected folders/files and further narrows user permissions.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] } ], "limitations": [ "Public total collection/document/token caps and organisation-wide sharing defaults are not specified; chat-only uploads are separately private and expiring." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:kbpermissions", "unique-ai:unique-ai:agent" ] } ] }, { "id": "KNOW-03", "title": "Enterprise connectors", "group": { "id": 2, "name": "Company knowledge" }, "judgment": "List each connector separately with plan, availability and setup owner: SharePoint, OneDrive, Outlook, Teams, Google Drive, Gmail, Confluence, Jira, Notion, Box, Salesforce, ServiceNow, file shares. Record whether the vendor or a third party (or the customer via MCP) provides it, and whether it needs admin consent. A connector listed on a roadmap or partner page is `announced`. An on-prem connector or gateway proves access to local data, not a self-hosted platform (DATA-02).", "questions": [ { "id": "microsoft_365", "question": "Which M365 sources (SharePoint, OneDrive, Outlook, Teams) are connected?" }, { "id": "google_workspace", "question": "Which Google sources are connected?" }, { "id": "atlassian", "question": "Confluence and Jira?" }, { "id": "other_systems", "question": "Which other business systems?" }, { "id": "on_prem_sources", "question": "Can on-prem file shares or databases be connected?" }, { "id": "connector_provider", "question": "Who builds and maintains each connector?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:KNOW-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "SharePoint and OneDrive have a documented delegated file picker. Other enterprise systems require separately verified tools or connectors.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "microsoft_365", "question": "Which M365 sources (SharePoint, OneDrive, Outlook, Teams) are connected?", "support": "partial", "answer": "SharePoint Online and OneDrive for Business can be browsed and attached through Entra token reuse/OBO, delegated AllSites.Read and Files.Read.All, and admin consent. Outlook/Teams source access was not established.", "evidenceIds": [ "librechat:librechat:sharepoint" ] }, { "id": "google_workspace", "question": "Which Google sources are connected?", "support": "unknown", "answer": "google_workspace: Which Google sources are connected? Google Drive/Gmail, Confluence/Jira and other named business-system connectors were not verified from first-party maintained connector documentation; generic MCP compatibility is not a connector catalog.", "evidenceIds": [] }, { "id": "atlassian", "question": "Confluence and Jira?", "support": "unknown", "answer": "atlassian: Confluence and Jira? Google Drive/Gmail, Confluence/Jira and other named business-system connectors were not verified from first-party maintained connector documentation; generic MCP compatibility is not a connector catalog.", "evidenceIds": [] }, { "id": "other_systems", "question": "Which other business systems?", "support": "unknown", "answer": "other_systems: Which other business systems? Google Drive/Gmail, Confluence/Jira and other named business-system connectors were not verified from first-party maintained connector documentation; generic MCP compatibility is not a connector catalog.", "evidenceIds": [] }, { "id": "on_prem_sources", "question": "Can on-prem file shares or databases be connected?", "support": "partial", "answer": "Custom local MCP stdio servers can reach systems available to the deployment, but a maintained file-share/database connector and its permissions were not verified.", "evidenceIds": [ "librechat:librechat:mcpcfg" ] }, { "id": "connector_provider", "question": "Who builds and maintains each connector?", "support": "supported", "answer": "LibreChat documents the Microsoft picker. Other MCP tool integrations are separately configured and maintained by their respective server authors/operators.", "evidenceIds": [ "librechat:librechat:sharepoint", "librechat:librechat:mcp" ] } ], "limitations": [ "microsoft_365: SharePoint Online and OneDrive for Business can be browsed and attached through Entra token reuse/OBO, delegated AllSites.Read and Files.Read.All, and admin consent. Outlook/Teams source access was not established.", "google_workspace: Which Google sources are connected? Google Drive/Gmail, Confluence/Jira and other named business-system connectors were not verified from first-party maintained connector documentation; generic MCP compatibility is not a connector catalog.", "atlassian: Confluence and Jira? Google Drive/Gmail, Confluence/Jira and other named business-system connectors were not verified from first-party maintained connector documentation; generic MCP compatibility is not a connector catalog.", "other_systems: Which other business systems? Google Drive/Gmail, Confluence/Jira and other named business-system connectors were not verified from first-party maintained connector documentation; generic MCP compatibility is not a connector catalog.", "on_prem_sources: Custom local MCP stdio servers can reach systems available to the deployment, but a maintained file-share/database connector and its permissions were not verified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:sharepoint", "librechat:librechat:mcpcfg", "librechat:librechat:mcp" ] }, { "productId": "unique-ai", "claimId": "unique-ai:KNOW-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Indexed SharePoint and Confluence are documented. Current architecture also names Google Drive/Salesforce, and release notes describe Salesforce/Yahoo Finance MCP connector dashboards; detailed entitlements and source permissions remain connector-specific.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "mcp" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "mcp", "name": "Unique MCP Hub and Knowledge Base MCP", "type": "mcp" } ] }, "questions": [ { "id": "microsoft_365", "question": "Which M365 sources (SharePoint, OneDrive, Outlook, Teams) are connected?", "support": "partial", "answer": "SharePoint Online connector copies selected content with application consent and optional permission sync. Platform documentation also exposes Teams and Outlook MCP operator guides, but their exact contracted scope and OneDrive coverage were not verified.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint" ] }, { "id": "google_workspace", "question": "Which Google sources are connected?", "support": "partial", "answer": "The current Platform Overview names Google Drive as a Knowledge Source feeding the Knowledge Base. It does not establish Gmail/Calendar coverage, a deployment guide, source consent scopes or inclusion in a particular customer contract. This is a documented architecture listing, not an observed enabled connector.", "evidenceIds": [ "unique-ai:unique-ai:platform-overview-20261026" ] }, { "id": "atlassian", "question": "Confluence and Jira?", "support": "partial", "answer": "Official Confluence connector supports Cloud and Data Center; Jira connector coverage was not established.", "evidenceIds": [ "unique-ai:unique-ai:confluence" ] }, { "id": "other_systems", "question": "Which other business systems?", "support": "partial", "answer": "Release 2026.40 names Salesforce and Yahoo Finance as examples in GA MCP connector dashboards that admins can list, enable and sign in to. Platform Overview also names Salesforce as a Knowledge Source. Exact origin implementation, connector rights, credentials and commercial inclusion vary by configured connector and contract.", "evidenceIds": [ "unique-ai:unique-ai:release40-20261026", "unique-ai:unique-ai:platform-overview-20261026" ] }, { "id": "on_prem_sources", "question": "Can on-prem file shares or databases be connected?", "support": "partial", "answer": "Confluence Data Center sources are supported via REST. Generic file-share/database connector scope was not established.", "evidenceIds": [ "unique-ai:unique-ai:confluence" ] }, { "id": "connector_provider", "question": "Who builds and maintains each connector?", "support": "supported", "answer": "Unique publishes Kubernetes operator guides for SharePoint and Confluence; client IT supplies source credentials, consent, scope and deployment configuration.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence" ] } ], "limitations": [ "Architecture labels and release examples do not prove that every source is enabled or included in every contract.", "Future items on the roadmap are not promoted to current connector support.", "No source-connection or two-user permission fixture was run." ], "checkedAt": "2026-10-26", "crossCheckedAt": "2026-10-26", "nextCheckAt": "2026-12-25", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence", "unique-ai:unique-ai:platform-overview-20261026", "unique-ai:unique-ai:release40-20261026" ] } ] }, { "id": "KNOW-04", "title": "Permission-aware retrieval", "group": { "id": 2, "name": "Company knowledge" }, "judgment": "Using two test users, verify that a restricted document in the fixture tenant is never cited or summarised for the user without access, including after a permission change. Record whether permissions are enforced at query time by the source system, mirrored into an index, or not enforced. Record the propagation delay of a revocation.", "questions": [ { "id": "source_permissions_respected", "question": "Are source permissions enforced per user?" }, { "id": "enforcement_point", "question": "Does the source system, a mirrored index or nothing enforce them?" }, { "id": "revocation_delay", "question": "How quickly does a removed permission take effect?" }, { "id": "admin_scope_controls", "question": "Can admins exclude sites, folders or labels?" }, { "id": "sensitivity_labels", "question": "Are Microsoft Purview or similar labels respected?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:KNOW-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Product resource ACLs and delegated Microsoft file selection are documented. Continuing source permissions for copied content remain untested.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "source_permissions_respected", "question": "Are source permissions enforced per user?", "support": "unknown", "answer": "source_permissions_respected: Are source permissions enforced per user? No restricted-document two-user fixture or grant/revocation test was run. Source permission enforcement, revocation delay and Purview label handling remain unverified.", "evidenceIds": [] }, { "id": "enforcement_point", "question": "Does the source system, a mirrored index or nothing enforce them?", "support": "partial", "answer": "LibreChat ACLs control Agent/file resources; Microsoft delegated OBO limits source downloads as the signed-in user. No query-time source ACL check for previously copied chunks was established.", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:sharepoint" ] }, { "id": "revocation_delay", "question": "How quickly does a removed permission take effect?", "support": "unknown", "answer": "revocation_delay: How quickly does a removed permission take effect? No restricted-document two-user fixture or grant/revocation test was run. Source permission enforcement, revocation delay and Purview label handling remain unverified.", "evidenceIds": [] }, { "id": "admin_scope_controls", "question": "Can admins exclude sites, folders or labels?", "support": "partial", "answer": "Operators can scope Agent/resource grants and its selected files. Site/folder/label exclusion across sources was not established.", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:agents" ] }, { "id": "sensitivity_labels", "question": "Are Microsoft Purview or similar labels respected?", "support": "unknown", "answer": "sensitivity_labels: Are Microsoft Purview or similar labels respected? No restricted-document two-user fixture or grant/revocation test was run. Source permission enforcement, revocation delay and Purview label handling remain unverified.", "evidenceIds": [] } ], "limitations": [ "source_permissions_respected: Are source permissions enforced per user? No restricted-document two-user fixture or grant/revocation test was run. Source permission enforcement, revocation delay and Purview label handling remain unverified.", "enforcement_point: LibreChat ACLs control Agent/file resources; Microsoft delegated OBO limits source downloads as the signed-in user. No query-time source ACL check for previously copied chunks was established.", "revocation_delay: How quickly does a removed permission take effect? No restricted-document two-user fixture or grant/revocation test was run. Source permission enforcement, revocation delay and Purview label handling remain unverified.", "admin_scope_controls: Operators can scope Agent/resource grants and its selected files. Site/folder/label exclusion across sources was not established.", "sensitivity_labels: Are Microsoft Purview or similar labels respected? No restricted-document two-user fixture or grant/revocation test was run. Source permission enforcement, revocation delay and Purview label handling remain unverified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:sharepoint", "librechat:librechat:agents" ] }, { "productId": "unique-ai", "claimId": "unique-ai:KNOW-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "SharePoint permission mirroring is optional; Confluence does not synchronise source permissions.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "source_permissions_respected", "question": "Are source permissions enforced per user?", "support": "partial", "answer": "SharePoint content_and_permissions mirrors source rights, while content_only uses Unique scope rules. Confluence explicitly has no source-permission sync, so Unique folder access needs configuration.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence" ] }, { "id": "enforcement_point", "question": "Does the source system, a mirrored index or nothing enforce them?", "support": "supported", "answer": "Indexed content is filtered through Unique user/group ScopeAccess. This is not source-system live query-time enforcement.", "evidenceIds": [ "unique-ai:unique-ai:kbpermissions", "unique-ai:unique-ai:sharepoint" ] }, { "id": "revocation_delay", "question": "How quickly does a removed permission take effect?", "support": "partial", "answer": "SharePoint source rights refresh periodically, default scans 15 minutes. Internal gatekeeper changes usually propagate under one second but have no hard upper bound; degraded/missed broadcasts can leave old rules active.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:permissioncache" ] }, { "id": "admin_scope_controls", "question": "Can admins exclude sites, folders or labels?", "support": "supported", "answer": "Admins allow SharePoint sites/libraries and require a sync flag, Confluence labels, and Space KB restrictions.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence", "unique-ai:unique-ai:agent" ] }, { "id": "sensitivity_labels", "question": "Are Microsoft Purview or similar labels respected?", "support": "partial", "answer": "July SharePoint connector explicitly excludes sensitivity/classification-level detection. Separately, release2026.42 documents experimental Purview-protected-file decryption using uploader rights, gated by MIP_DECRYPTION_ENABLED and Entra/operator changes. This is not proof of general label-policy enforcement.", "evidenceIds": [ "unique-ai:unique-ai:release42", "unique-ai:unique-ai:sharepoint" ] } ], "limitations": [ "No two-user restricted-document/revocation fixture was run. End-to-end revocation SLA and label enforcement are not established. Older folder-permissions documentation says SharePoint never mirrors permissions, conflicting with the newer optional-sync guide." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence", "unique-ai:unique-ai:kbpermissions", "unique-ai:unique-ai:permissioncache", "unique-ai:unique-ai:agent", "unique-ai:unique-ai:release42" ] } ] }, { "id": "KNOW-05", "title": "Freshness and sync model", "group": { "id": 2, "name": "Company knowledge" }, "judgment": "Record live (federated) search versus a copied index, sync interval, deletion propagation, and where the index is stored. Edit and delete one fixture document and record when answers change. A copied index adds storage location to DATA-01.", "questions": [ { "id": "live_or_indexed", "question": "Is content searched live or copied into an index?" }, { "id": "sync_interval", "question": "How often does an index refresh?" }, { "id": "deletion_propagation", "question": "How quickly does a deleted document disappear?" }, { "id": "index_location", "question": "Where is indexed content stored?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:KNOW-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The RAG API copies uploaded content into PGVector; imported files do not by themselves establish live enterprise synchronization.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "live_or_indexed", "question": "Is content searched live or copied into an index?", "support": "supported", "answer": "The RAG API indexes uploaded documents into PostgreSQL/PGVector; file-context mode stores extracted text in Agent instructions.", "evidenceIds": [ "librechat:librechat:rag", "librechat:librechat:ocr" ] }, { "id": "sync_interval", "question": "How often does an index refresh?", "support": "unknown", "answer": "sync_interval: How often does an index refresh? No periodic enterprise-source sync contract, source edit/delete propagation bound or timed fixture was established from the RAG and Microsoft import guides.", "evidenceIds": [] }, { "id": "deletion_propagation", "question": "How quickly does a deleted document disappear?", "support": "unknown", "answer": "deletion_propagation: How quickly does a deleted document disappear? No periodic enterprise-source sync contract, source edit/delete propagation bound or timed fixture was established from the RAG and Microsoft import guides.", "evidenceIds": [] }, { "id": "index_location", "question": "Where is indexed content stored?", "support": "supported", "answer": "The operator chooses the RAG database and its location, independently of the inference provider.", "evidenceIds": [ "librechat:librechat:rag", "librechat:librechat:compose-pin" ] } ], "limitations": [ "sync_interval: How often does an index refresh? No periodic enterprise-source sync contract, source edit/delete propagation bound or timed fixture was established from the RAG and Microsoft import guides.", "deletion_propagation: How quickly does a deleted document disappear? No periodic enterprise-source sync contract, source edit/delete propagation bound or timed fixture was established from the RAG and Microsoft import guides." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:rag", "librechat:librechat:ocr", "librechat:librechat:compose-pin" ] }, { "productId": "unique-ai", "claimId": "unique-ai:KNOW-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "SharePoint and Confluence copy content to Unique indexes on configurable scans, default every 15 minutes.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "live_or_indexed", "question": "Is content searched live or copied into an index?", "support": "supported", "answer": "Connectors ingest documents/page attachments into the Unique knowledge base for RAG.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence" ] }, { "id": "sync_interval", "question": "How often does an index refresh?", "support": "supported", "answer": "Default 15-minute scan for both connectors; schedules are configurable. Real-time sync is explicitly not supported.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence" ] }, { "id": "deletion_propagation", "question": "How quickly does a deleted document disappear?", "support": "partial", "answer": "Diff processing detects deleted source files/pages and removes them on a sync run. A strict completion bound is not provided.", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence" ] }, { "id": "index_location", "question": "Where is indexed content stored?", "support": "partial", "answer": "Hosted documents use Azure storage; embeddings Qdrant and search vectors on managed disks in the selected deployment. Exact per-client index region needs the MSA/architecture.", "evidenceIds": [ "unique-ai:unique-ai:retention", "unique-ai:unique-ai:keys" ] } ], "limitations": [ "No source-edit/delete fixture was run. Actual sync duration, strict deletion SLA and index/backup region per contract remain unverified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:confluence", "unique-ai:unique-ai:retention", "unique-ai:unique-ai:keys" ] } ] }, { "id": "KNOW-06", "title": "Grounding and retrieval quality", "group": { "id": 2, "name": "Company knowledge" }, "judgment": "Run the shared question set over the fixture corpus: factual lookups, cross-document questions, German document with an English question, a question with no answer in the corpus. Record citation presence, link accuracy, correct answers and refusals to invent. Disclose model, settings, attempt count and failures. Single runs support a case study, not a ranking.", "questions": [ { "id": "citations", "question": "Are answers linked to specific sources?" }, { "id": "citation_accuracy", "question": "Do the cited passages support the answer?" }, { "id": "cross_language", "question": "Does a question in one language find documents in another?" }, { "id": "no_answer_behaviour", "question": "Does it say when the corpus has no answer?" }, { "id": "observed_accuracy", "question": "How many of the question set were answered correctly?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:KNOW-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "File-search citations are documented; retrieval accuracy remains unmeasured.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "citations", "question": "Are answers linked to specific sources?", "support": "supported", "answer": "RAG/File Search provides retrieved source references and citation controls.", "evidenceIds": [ "librechat:librechat:rag", "librechat:librechat:access" ] }, { "id": "citation_accuracy", "question": "Do the cited passages support the answer?", "support": "unknown", "answer": "citation_accuracy: Do the cited passages support the answer? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown.", "evidenceIds": [] }, { "id": "cross_language", "question": "Does a question in one language find documents in another?", "support": "unknown", "answer": "cross_language: Does a question in one language find documents in another? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown.", "evidenceIds": [] }, { "id": "no_answer_behaviour", "question": "Does it say when the corpus has no answer?", "support": "unknown", "answer": "no_answer_behaviour: Does it say when the corpus has no answer? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown.", "evidenceIds": [] }, { "id": "observed_accuracy", "question": "How many of the question set were answered correctly?", "support": "unknown", "answer": "observed_accuracy: How many of the question set were answered correctly? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown.", "evidenceIds": [] } ], "limitations": [ "citation_accuracy: Do the cited passages support the answer? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown.", "cross_language: Does a question in one language find documents in another? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown.", "no_answer_behaviour: Does it say when the corpus has no answer? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown.", "observed_accuracy: How many of the question set were answered correctly? The shared multilingual factual/cross-document/no-answer question set was not run. Citation correctness, cross-language success, no-answer reliability and observed accuracy remain unknown." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:rag", "librechat:librechat:access" ] }, { "productId": "unique-ai", "claimId": "unique-ai:KNOW-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Unique documents source-linked answers and reference limits, without a shared-corpus accuracy result.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "citations", "question": "Are answers linked to specific sources?", "support": "supported", "answer": "Chat retrieval cites sources; Conduct links source facts, with PDF/Word page-level references and other formats at document level. Generated files are not citation-linked or hallucination-checked.", "evidenceIds": [ "unique-ai:unique-ai:files", "unique-ai:unique-ai:conduct" ] }, { "id": "citation_accuracy", "question": "Do the cited passages support the answer?", "support": "unknown", "answer": "Do the cited passages support the answer? Unknown. No shared question set was run. Citation correctness, cross-language recall, no-answer behaviour and observed accuracy remain unmeasured. Vendor evaluation tools are not our benchmark results.", "evidenceIds": [] }, { "id": "cross_language", "question": "Does a question in one language find documents in another?", "support": "unknown", "answer": "Does a question in one language find documents in another? Unknown. No shared question set was run. Citation correctness, cross-language recall, no-answer behaviour and observed accuracy remain unmeasured. Vendor evaluation tools are not our benchmark results.", "evidenceIds": [] }, { "id": "no_answer_behaviour", "question": "Does it say when the corpus has no answer?", "support": "unknown", "answer": "Does it say when the corpus has no answer? Unknown. No shared question set was run. Citation correctness, cross-language recall, no-answer behaviour and observed accuracy remain unmeasured. Vendor evaluation tools are not our benchmark results.", "evidenceIds": [] }, { "id": "observed_accuracy", "question": "How many of the question set were answered correctly?", "support": "unknown", "answer": "How many of the question set were answered correctly? Unknown. No shared question set was run. Citation correctness, cross-language recall, no-answer behaviour and observed accuracy remain unmeasured. Vendor evaluation tools are not our benchmark results.", "evidenceIds": [] } ], "limitations": [ "No shared question set was run. Citation correctness, cross-language recall, no-answer behaviour and observed accuracy remain unmeasured. Vendor evaluation tools are not our benchmark results." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:files", "unique-ai:unique-ai:conduct" ] } ] }, { "id": "KNOW-07", "title": "Memory and personal context", "group": { "id": 2, "name": "Company knowledge" }, "judgment": "Record personal custom instructions, cross-chat memory, project or workspace context, and user controls to view, edit, delete or disable memory. Record whether admins can disable memory organisation-wide.", "questions": [ { "id": "custom_instructions", "question": "Can users set persistent instructions?" }, { "id": "cross_chat_memory", "question": "Does the product remember facts across chats?" }, { "id": "user_memory_controls", "question": "Can users view, edit and delete memories?" }, { "id": "admin_memory_controls", "question": "Can admins turn memory off?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:KNOW-07", "verificationStatus": "agent-cross-checked", "support": "supported", "answer": "Opt-in user memory stores editable key/value context across chats; Projects and Agents provide additional persistent instructions.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "custom_instructions", "question": "Can users set persistent instructions?", "support": "supported", "answer": "Projects retain instructions across their chats; Agents retain system instructions.", "evidenceIds": [ "librechat:librechat:projects", "librechat:librechat:agents" ] }, { "id": "cross_chat_memory", "question": "Does the product remember facts across chats?", "support": "supported", "answer": "User Memory injects configured key/value entries across chats and is not semantic search over all past conversations.", "evidenceIds": [ "librechat:librechat:memory" ] }, { "id": "user_memory_controls", "question": "Can users view, edit and delete memories?", "support": "supported", "answer": "Users add/edit/remove entries and can toggle memory when permitted.", "evidenceIds": [ "librechat:librechat:memory" ] }, { "id": "admin_memory_controls", "question": "Can admins turn memory off?", "support": "supported", "answer": "Memory is disabled until configured and its feature permissions can be restricted by role.", "evidenceIds": [ "librechat:librechat:memory", "librechat:librechat:access" ] } ], "limitations": [], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:projects", "librechat:librechat:agents", "librechat:librechat:memory", "librechat:librechat:access" ] }, { "productId": "unique-ai", "claimId": "unique-ai:KNOW-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Context Memory provides a private cross-chat user profile with edit and opt-out controls.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "custom_instructions", "question": "Can users set persistent instructions?", "support": "partial", "answer": "Admins configure Space instructions; memory learns preferences. A separate persistent user-authored global instruction field was not established.", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:memory" ] }, { "id": "cross_chat_memory", "question": "Does the product remember facts across chats?", "support": "supported", "answer": "One per-user profile is loaded across enabled spaces/chats and updated after answers; stored in a private unindexed KB folder.", "evidenceIds": [ "unique-ai:unique-ai:memory" ] }, { "id": "user_memory_controls", "question": "Can users view, edit and delete memories?", "support": "partial", "answer": "Users view/edit the profile and disable updates/loading. Docs explicitly say disabling does not delete the profile despite contrary settings text; a delete control is not established.", "evidenceIds": [ "unique-ai:unique-ai:memory" ] }, { "id": "admin_memory_controls", "question": "Can admins turn memory off?", "support": "supported", "answer": "Release2026.42 makes Context Memory GA, with per-company enable/disable feature flag and per-Space activation. Users can opt out; Web Search combinations remain restricted by default.", "evidenceIds": [ "unique-ai:unique-ai:release42", "unique-ai:unique-ai:memory" ] } ], "limitations": [ "No authenticated memory fixture or permanent deletion test was run. The guide explicitly contradicts the settings deletion promise." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:memory", "unique-ai:unique-ai:release42" ] } ] }, { "id": "AGT-01", "title": "Custom assistants", "group": { "id": 3, "name": "Assistants and agents" }, "judgment": "Record creation of assistants with instructions, model, knowledge and tools; who can create; sharing scope; versioning; and an internal catalogue or directory. Build one HR policy assistant on the fixture and share it with one group. Prompt templates and a prompt library are recorded here.", "questions": [ { "id": "create_assistants", "question": "Can users create assistants with instructions, knowledge and tools?" }, { "id": "creator_permissions", "question": "Can admins limit who creates them?" }, { "id": "sharing_scope", "question": "Can assistants be shared with users, groups or everyone?" }, { "id": "catalogue", "question": "Is there an internal assistant directory?" }, { "id": "prompt_library", "question": "Are shared prompt templates available?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:AGT-01", "verificationStatus": "agent-cross-checked", "support": "supported", "answer": "Agents combine instructions, a model, knowledge and tools, with version history and a permissioned internal catalog.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "create_assistants", "question": "Can users create assistants with instructions, knowledge and tools?", "support": "supported", "answer": "The Agent Builder creates reusable instructions/model/files/tools/skills configurations.", "evidenceIds": [ "librechat:librechat:agents" ] }, { "id": "creator_permissions", "question": "Can admins limit who creates them?", "support": "supported", "answer": "AGENTS CREATE and sharing permissions can be restricted by role; resource grants control access.", "evidenceIds": [ "librechat:librechat:access" ] }, { "id": "sharing_scope", "question": "Can assistants be shared with users, groups or everyone?", "support": "supported", "answer": "Agent ACLs support users, groups, roles and all authenticated users when public sharing is permitted.", "evidenceIds": [ "librechat:librechat:access" ] }, { "id": "catalogue", "question": "Is there an internal assistant directory?", "support": "supported", "answer": "Agents have a marketplace/catalog and searchable builder tool library.", "evidenceIds": [ "librechat:librechat:agents" ] }, { "id": "prompt_library", "question": "Are shared prompt templates available?", "support": "supported", "answer": "Prompt resources have use/create/share/share-public permissions and ACLs.", "evidenceIds": [ "librechat:librechat:access" ] } ], "limitations": [], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:access" ] }, { "productId": "unique-ai", "claimId": "unique-ai:AGT-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Admins configure Spaces with instructions, models, knowledge, tools, prompts and group access.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "create_assistants", "question": "Can users create assistants with instructions, knowledge and tools?", "support": "supported", "answer": "Space setup includes model, instructions, knowledge sources and tools.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "creator_permissions", "question": "Can admins limit who creates them?", "support": "supported", "answer": "Space creation/management requires delegated role permissions; Can manage grants space configuration access.", "evidenceIds": [ "unique-ai:unique-ai:roles", "unique-ai:unique-ai:agent" ] }, { "id": "sharing_scope", "question": "Can assistants be shared with users, groups or everyone?", "support": "supported", "answer": "Share through Access with people/groups as Can chat or Can manage.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "catalogue", "question": "Is there an internal assistant directory?", "support": "partial", "answer": "Space Management lists configured workspaces; a dedicated employee assistant-discovery directory is not described.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "prompt_library", "question": "Are shared prompt templates available?", "support": "supported", "answer": "Admins publish Suggested Prompts with a Space; users also have personal saved prompts.", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:chat" ] } ], "limitations": [ "Assistant versioning, organisation-wide directory discovery and unrestricted end-user creation were not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:roles", "unique-ai:unique-ai:chat" ] } ] }, { "id": "AGT-02", "title": "Tools, actions and MCP", "group": { "id": 3, "name": "Assistants and agents" }, "judgment": "Record built-in tools, custom actions (OpenAPI), MCP client support (local and remote servers), authentication model per tool (shared service account or per-user OAuth), and admin approval of tools. Verify one external-tool call and its access boundary.", "questions": [ { "id": "builtin_tools", "question": "Which tools are built in?" }, { "id": "custom_actions", "question": "Can admins add API actions?" }, { "id": "mcp_client", "question": "Can it use remote MCP servers, and with what admin control?" }, { "id": "tool_auth", "question": "Do tools act as the user or as a shared account?" }, { "id": "tool_approval", "question": "Can admins approve or block tools, and can users confirm actions before they run?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:AGT-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Agent tools include file search, code, web and Actions, with local/remote MCP and configurable approval boundaries.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [ "Customer-operated or third-party MCP servers", "Optional separate Code Interpreter service" ], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "builtin_tools", "question": "Which tools are built in?", "support": "supported", "answer": "Agent capabilities include file search/context, web search, memory and optionally configured code execution/image tools.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:images" ] }, { "id": "custom_actions", "question": "Can admins add API actions?", "support": "supported", "answer": "Agents support custom API Actions configured in the tool library.", "evidenceIds": [ "librechat:librechat:agents" ] }, { "id": "mcp_client", "question": "Can it use remote MCP servers, and with what admin control?", "support": "supported", "answer": "Configured MCP transports include stdio, SSE and Streamable HTTP; YAML and permissioned UI setup are documented.", "evidenceIds": [ "librechat:librechat:mcp", "librechat:librechat:mcpcfg" ] }, { "id": "tool_auth", "question": "Do tools act as the user or as a shared account?", "support": "supported", "answer": "MCP supports configured credentials/headers and OAuth; credential and resource ownership scope depends on each server configuration.", "evidenceIds": [ "librechat:librechat:mcp", "librechat:librechat:mcpcfg" ] }, { "id": "tool_approval", "question": "Can admins approve or block tools, and can users confirm actions before they run?", "support": "partial", "answer": "Agent/code environments document approval modes and individual tool-call approvals. The default policy and every external side-effect boundary were not exercised.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:code" ] } ], "limitations": [ "tool_approval: Agent/code environments document approval modes and individual tool-call approvals. The default policy and every external side-effect boundary were not exercised." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:images", "librechat:librechat:mcp", "librechat:librechat:mcpcfg", "librechat:librechat:code" ] }, { "productId": "unique-ai", "claimId": "unique-ai:AGT-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Built-in tools and beta MCP connectors are governed at organisation and Space levels.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "web", "conduct", "mcp" ], "version": null, "plan": "Contracted platform with MCP beta feature flag and configured connectors", "addOns": [ "MCP entitlement and enablement per contract" ], "deploymentMode": null, "region": "Tenant plus downstream connector/provider regions", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "conduct", "name": "Unique AI Conduct", "type": "agent-workspace" }, { "id": "mcp", "name": "Unique MCP Hub and Knowledge Base MCP", "type": "mcp" } ] }, "questions": [ { "id": "builtin_tools", "question": "Which tools are built in?", "support": "supported", "answer": "Internal search, web search, Deep Research and Code Execution are documented; Deep Research is experimental and code has model restrictions.", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:code", "unique-ai:unique-ai:deepresearch" ] }, { "id": "custom_actions", "question": "Can admins add API actions?", "support": "unknown", "answer": "Can admins add API actions? Unknown. Arbitrary OpenAPI action import, local stdio MCP support, each connector auth mode and universal side-effect approval are not established. Hub planned DLP/elicitation pipeline is not treated as released.", "evidenceIds": [] }, { "id": "mcp_client", "question": "Can it use remote MCP servers, and with what admin control?", "support": "supported", "answer": "MCP Tools for Spaces is beta, off until enabled for the organisation; connector admins and space managers can selectively expose connectors/tools.", "evidenceIds": [ "unique-ai:unique-ai:mcp" ] }, { "id": "tool_auth", "question": "Do tools act as the user or as a shared account?", "support": "supported", "answer": "MCP Hub maps user hub tokens to downstream per-user OAuth tokens; secrets are injected server-side.", "evidenceIds": [ "unique-ai:unique-ai:hub" ] }, { "id": "tool_approval", "question": "Can admins approve or block tools, and can users confirm actions before they run?", "support": "partial", "answer": "Admins restrict origin/connector/tool exposure. Conduct can pause for approve/deny of configured sensitive actions; it is not a universal confirmation guarantee.", "evidenceIds": [ "unique-ai:unique-ai:hub", "unique-ai:unique-ai:conduct" ] } ], "limitations": [ "Arbitrary OpenAPI action import, local stdio MCP support, each connector auth mode and universal side-effect approval are not established. Hub planned DLP/elicitation pipeline is not treated as released." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:code", "unique-ai:unique-ai:deepresearch", "unique-ai:unique-ai:mcp", "unique-ai:unique-ai:hub", "unique-ai:unique-ai:conduct" ] } ] }, { "id": "AGT-03", "title": "Web search and deep research", "group": { "id": 3, "name": "Assistants and agents" }, "judgment": "Record web search on/off control per organisation and group, search provider, citation of web sources, deep or multi-step research, and whether queries leave the residency boundary. Admins of regulated companies often need web search off.", "questions": [ { "id": "web_search", "question": "Is web search available?" }, { "id": "admin_toggle", "question": "Can admins disable it per organisation or group?" }, { "id": "search_provider", "question": "Which search provider handles queries, and where?" }, { "id": "deep_research", "question": "Is multi-step research with a report available?" }, { "id": "web_citations", "question": "Are web sources cited?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:AGT-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Web search combines configured search, scraping and optional reranking services; source queries can leave the installation boundary.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "web_search", "question": "Is web search available?", "support": "supported", "answer": "Tool-capable chats/Agents can use the configured web search capability.", "evidenceIds": [ "librechat:librechat:web", "librechat:librechat:agents" ] }, { "id": "admin_toggle", "question": "Can admins disable it per organisation or group?", "support": "supported", "answer": "WEB_SEARCH feature permissions control use; operators configure whether its provider stack is available.", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:web" ] }, { "id": "search_provider", "question": "Which search provider handles queries, and where?", "support": "supported", "answer": "Documented choices include Serper, SearXNG, Tavily and Keenable, with Firecrawl/Tavily/Keenable scraping and optional Jina/Cohere reranking. Geography depends on the chosen services.", "evidenceIds": [ "librechat:librechat:web" ] }, { "id": "deep_research", "question": "Is multi-step research with a report available?", "support": "partial", "answer": "Agents can perform repeated tool operations and web research. No dedicated report fixture, quality result or preset research SLA was verified.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:web" ] }, { "id": "web_citations", "question": "Are web sources cited?", "support": "supported", "answer": "The web-search guide documents source references/citations from search and fetched content.", "evidenceIds": [ "librechat:librechat:web" ] } ], "limitations": [ "deep_research: Agents can perform repeated tool operations and web research. No dedicated report fixture, quality result or preset research SLA was verified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:web", "librechat:librechat:agents", "librechat:librechat:access" ] }, { "productId": "unique-ai", "claimId": "unique-ai:AGT-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Web search has provider/strategy controls; separate Deep Research is experimental.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "web_search", "question": "Is web search available?", "support": "supported", "answer": "Real-time web search/read is a Space tool, with stable V1/V2 modes and experimental V3.", "evidenceIds": [ "unique-ai:unique-ai:websearch" ] }, { "id": "admin_toggle", "question": "Can admins disable it per organisation or group?", "support": "supported", "answer": "Admins enable/disable tools per Space shared with groups. Deep Research tools are configured separately; disabling ordinary Web Search is not a universal external-search block.", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:deepresearch" ] }, { "id": "search_provider", "question": "Which search provider handles queries, and where?", "support": "partial", "answer": "Configured engines can include Google, Bing, Brave, Jina, Tavily, Firecrawl, Vertex or custom API; query context can leave the tenant. Exact provider region must be set per contract.", "evidenceIds": [ "unique-ai:unique-ai:websearch" ] }, { "id": "deep_research", "question": "Is multi-step research with a report available?", "support": "supported", "answer": "Experimental tool creates multi-source research and reports. Unique engine can use internal/web sources; OpenAI-native engine requires direct OpenAI-hosted models and lacks internal sources/hosting-location control.", "evidenceIds": [ "unique-ai:unique-ai:deepresearch" ] }, { "id": "web_citations", "question": "Are web sources cited?", "support": "supported", "answer": "Web answers include source references; Deep Research documents citation-linked reports.", "evidenceIds": [ "unique-ai:unique-ai:websearch", "unique-ai:unique-ai:deepresearch" ] } ], "limitations": [ "No search/report fixture was run. Exact query/provider regions, contract enablement and current Deep Research production readiness remain unverified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:websearch", "unique-ai:unique-ai:agent", "unique-ai:unique-ai:deepresearch" ] } ] }, { "id": "AGT-04", "title": "Workflows and automation", "group": { "id": 3, "name": "Assistants and agents" }, "judgment": "Record no-code or low-code workflows, scheduled prompts, triggers from email, forms or business systems, and multi-step chains. Name where they run and who can build them. A shared prompt template is not a workflow.", "questions": [ { "id": "workflow_builder", "question": "Is there a workflow or chain builder?" }, { "id": "scheduled_tasks", "question": "Can prompts or assistants run on a schedule?" }, { "id": "event_triggers", "question": "Can external events start a workflow?" }, { "id": "builder_audience", "question": "Is building aimed at business users, IT or developers?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:AGT-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Experimental Scheduled Chats run saved Agents on cron schedules; beta Agent Events can receive external deliveries.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [ "Experimental schedules explicitly enabled", "Beta Agents API for external Agent Events" ], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "workflow_builder", "question": "Is there a workflow or chain builder?", "support": "partial", "answer": "Agent Builder supports tool workflows and subagent configurations; no general business no-code flow editor was established.", "evidenceIds": [ "librechat:librechat:agents" ] }, { "id": "scheduled_tasks", "question": "Can prompts or assistants run on a schedule?", "support": "supported", "answer": "Scheduled Chats supports hourly/daily/weekly/custom cron with time zones, owner scope and execution checks; it is experimental and off by default.", "evidenceIds": [ "librechat:librechat:schedule" ] }, { "id": "event_triggers", "question": "Can external events start a workflow?", "support": "partial", "answer": "The beta Agents API includes authenticated Agent Events. A built-in email/form trigger catalog was not verified.", "evidenceIds": [ "librechat:librechat:api" ] }, { "id": "builder_audience", "question": "Is building aimed at business users, IT or developers?", "support": "supported", "answer": "Agent Builder is a user UI; API-event and runtime configuration require technical deployment work.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:schedule", "librechat:librechat:api" ] } ], "limitations": [ "workflow_builder: Agent Builder supports tool workflows and subagent configurations; no general business no-code flow editor was established.", "event_triggers: The beta Agents API includes authenticated Agent Events. A built-in email/form trigger catalog was not verified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:schedule", "librechat:librechat:api" ] }, { "productId": "unique-ai", "claimId": "unique-ai:AGT-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Recurring Scheduled Tasks run with user permissions; current release notes label the feature experimental.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "workflow_builder", "question": "Is there a workflow or chain builder?", "support": "unknown", "answer": "Is there a workflow or chain builder? Unknown. No general no-code workflow/chain builder or complete event-source trigger catalogue was established. Automated runs may stop for manual approval/questions and are subject to normal usage limits.", "evidenceIds": [] }, { "id": "scheduled_tasks", "question": "Can prompts or assistants run on a schedule?", "support": "partial", "answer": "User guide labels recurring Chat/Conduct tasks beta and off by default; release2026.42 instead labels Scheduled Tasks experimental, off by default, enabled on request, and describes scheduling/eligibility fixes.", "evidenceIds": [ "unique-ai:unique-ai:release42", "unique-ai:unique-ai:scheduled" ] }, { "id": "event_triggers", "question": "Can external events start a workflow?", "support": "partial", "answer": "SDK documents webhook-driven applications, which require developer-hosted modules; a packaged no-code external-event builder was not established.", "evidenceIds": [ "unique-ai:unique-ai:sdk" ] }, { "id": "builder_audience", "question": "Is building aimed at business users, IT or developers?", "support": "partial", "answer": "Business users author recurring tasks in the UI or Conduct; developers host webhook-driven SDK modules. Availability and scheduling behaviour depend on deployed release.", "evidenceIds": [ "unique-ai:unique-ai:scheduled", "unique-ai:unique-ai:sdk" ] } ], "limitations": [ "No general no-code workflow/chain builder or complete event-source trigger catalogue was established. Automated runs may stop for manual approval/questions and are subject to normal usage limits." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:scheduled", "unique-ai:unique-ai:sdk", "unique-ai:unique-ai:conduct", "unique-ai:unique-ai:release42" ] } ] }, { "id": "AGT-05", "title": "Agentic task execution", "group": { "id": 3, "name": "Assistants and agents" }, "judgment": "Record an agent mode that plans and carries out multi-step tasks with tools (browser, files, connectors), with visible steps, user confirmation of side effects and stop control. Run one fixture task (gather three documents, draft a summary, propose an email). Record interventions and what ran. A final claim of success is not proof.", "questions": [ { "id": "agent_mode", "question": "Is there an agent mode for multi-step tasks?" }, { "id": "visible_steps", "question": "Are steps and tool calls shown?" }, { "id": "side_effect_confirmation", "question": "Must the user confirm actions with side effects?" }, { "id": "stop_control", "question": "Can the user stop a running task?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:AGT-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Agent runs expose reasoning/tool activity and optional approval, interruption and cooperative stop controls.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "agent_mode", "question": "Is there an agent mode for multi-step tasks?", "support": "supported", "answer": "Agents execute multi-step tool workflows; code/workspace capabilities require a compatible separately deployed service.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:code" ] }, { "id": "visible_steps", "question": "Are steps and tool calls shown?", "support": "supported", "answer": "Activity groups and tool cards distinguish preparation, execution, completion, cancellation and failure.", "evidenceIds": [ "librechat:librechat:agents" ] }, { "id": "side_effect_confirmation", "question": "Must the user confirm actions with side effects?", "support": "partial", "answer": "Attached environments can expose Ask before changes/Accept edits/Full access, bounded by operator tool rules. This is configurable, not a guarantee that all side effects require confirmation.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:code" ] }, { "id": "stop_control", "question": "Can the user stop a running task?", "support": "partial", "answer": "The release documents interruption/steering; ordinary background-tool cancellation is optional and cooperative, so an uncooperative tool may still finish.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:releases" ] } ], "limitations": [ "No gather-documents, draft-summary and propose-email task was run.", "Highly experimental attached workspaces are distinct from ordinary Agent tool use." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:code", "librechat:librechat:releases" ] }, { "productId": "unique-ai", "claimId": "unique-ai:AGT-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Contract-enabled Conduct plans and executes multi-step tasks with visible tools and stop controls. Sensitive actions can ask for approval; separately enabled Experimental Scheduled Tasks offer automatic approval.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "conduct" ], "version": "Conduct 2026.40+; scheduling status/flags per 2026.42", "plan": "Contracted Unique AI platform; Conduct; Scheduled Tasks separately enabled per contract and feature flag availability and deployment/provider configuration depend on the customer agreement", "addOns": [ "Conduct; optional Scheduled Tasks feature flag" ], "deploymentMode": null, "region": "Configured tenant/models/tools; scheduled actions run with the owner permissions and configured approval policy", "os": [], "surfaces": [ { "id": "conduct", "name": "Unique AI Conduct", "type": "agent-workspace" } ] }, "questions": [ { "id": "agent_mode", "question": "Is there an agent mode for multi-step tasks?", "support": "supported", "answer": "Plans and executes Python/Bash, files, internal search and configured MCP tools in an autonomous workspace.", "evidenceIds": [ "unique-ai:unique-ai:conduct" ] }, { "id": "visible_steps", "question": "Are steps and tool calls shown?", "support": "supported", "answer": "Shows checklist, progress, code/tool inputs and outputs, and waiting/working indicators.", "evidenceIds": [ "unique-ai:unique-ai:conduct" ] }, { "id": "side_effect_confirmation", "question": "Must the user confirm actions with side effects?", "support": "partial", "answer": "Conduct shows approve/deny for actions configured as sensitive. The separate Scheduled Tasks guide offers Automatic or Manual approval for Chat/Conduct unattended runs. Release 2026.42 labels scheduling Experimental and feature-flagged. Mandatory human approval of every side effect is therefore not established for all configured runs.", "evidenceIds": [ "unique-ai:unique-ai:conduct", "unique-ai:unique-ai:review2-scheduled", "unique-ai:unique-ai:review2-release42" ] }, { "id": "stop_control", "question": "Can the user stop a running task?", "support": "supported", "answer": "Stop ends the turn within seconds; completed steps/files remain and interrupted work can be resumed.", "evidenceIds": [ "unique-ai:unique-ai:conduct" ] } ], "limitations": [ "No agent fixture was run. Interactive sensitive-action approval and separately enabled unattended automatic approval are different execution modes.", "Actual tools, entitlement, approval policy and deployed release depend on the customer contract/configuration." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:conduct", "unique-ai:unique-ai:review2-scheduled", "unique-ai:unique-ai:review2-release42" ] } ] }, { "id": "AGT-06", "title": "Programmable access", "group": { "id": 3, "name": "Assistants and agents" }, "judgment": "Record a public API for chat, assistants and knowledge, SDKs, API authentication, rate limits and whether API use counts against the same governance (audit, budgets, model restrictions). Being an MCP client is different from exposing the product over MCP.", "questions": [ { "id": "chat_api", "question": "Is there an API for chat and assistants?" }, { "id": "knowledge_api", "question": "Can documents be loaded through an API?" }, { "id": "api_governance", "question": "Do audit, budgets and model rules apply to API use?" }, { "id": "mcp_server", "question": "Does the product expose itself to other agents over MCP?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:AGT-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The beta Agents API provides inference, Agent management and authenticated events; deployment guards and limitations are explicit.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "chat_api", "question": "Is there an API for chat and assistants?", "support": "supported", "answer": "Chat Completions and Open Responses interfaces expose saved Agents, with API-key or configured OIDC authentication.", "evidenceIds": [ "librechat:librechat:api" ] }, { "id": "knowledge_api", "question": "Can documents be loaded through an API?", "support": "partial", "answer": "The beta management surface includes Agent/Skill management. A complete public knowledge-ingestion contract and fixture were not verified.", "evidenceIds": [ "librechat:librechat:api" ] }, { "id": "api_governance", "question": "Do audit, budgets and model rules apply to API use?", "support": "partial", "answer": "Agent access and remote-agent permissions gate APIs, with source identity bound for events. Complete logging/budget/model parity across routes was not tested.", "evidenceIds": [ "librechat:librechat:api", "librechat:librechat:access" ] }, { "id": "mcp_server", "question": "Does the product expose itself to other agents over MCP?", "support": "unknown", "answer": "mcp_server: Does the product expose itself to other agents over MCP? A native product-wide MCP server was not established; being an MCP client does not establish that interface.", "evidenceIds": [] } ], "limitations": [ "knowledge_api: The beta management surface includes Agent/Skill management. A complete public knowledge-ingestion contract and fixture were not verified.", "api_governance: Agent access and remote-agent permissions gate APIs, with source identity bound for events. Complete logging/budget/model parity across routes was not tested.", "mcp_server: Does the product expose itself to other agents over MCP? A native product-wide MCP server was not established; being an MCP client does not establish that interface." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:api", "librechat:librechat:access" ] }, { "productId": "unique-ai", "claimId": "unique-ai:AGT-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Public API/Python SDK and Knowledge Base MCP are documented.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "api", "mcp" ], "version": null, "plan": "Contracted APIs and KB MCP deployment; model tracking requires enablement", "addOns": [ "KB MCP and usage-tracking enablement per contract" ], "deploymentMode": null, "region": "Configured deployment and external client region", "os": [], "surfaces": [ { "id": "api", "name": "Unique API and Python SDK", "type": "api" }, { "id": "mcp", "name": "Unique MCP Hub and Knowledge Base MCP", "type": "mcp" } ] }, "questions": [ { "id": "chat_api", "question": "Is there an API for chat and assistants?", "support": "partial", "answer": "SDK exposes the Unique public API, personal/app keys and webhook signatures. Exact endpoint entitlements/rate limits require the contracted deployment.", "evidenceIds": [ "unique-ai:unique-ai:sdk" ] }, { "id": "knowledge_api", "question": "Can documents be loaded through an API?", "support": "partial", "answer": "Connector/operator docs describe ingestion and knowledge APIs; public SDK supports platform integrations.", "evidenceIds": [ "unique-ai:unique-ai:sdk", "unique-ai:unique-ai:sharepoint" ] }, { "id": "api_governance", "question": "Do audit, budgets and model rules apply to API use?", "support": "partial", "answer": "Feature-flagged model-use tracking covers public API/SDK/agentic and Azure SDK calls with company/user/app metadata. Complete budget/model-rule enforcement across all internal services is not established.", "evidenceIds": [ "unique-ai:unique-ai:api-usage" ] }, { "id": "mcp_server", "question": "Does the product expose itself to other agents over MCP?", "support": "supported", "answer": "Knowledge Base MCP lets external assistants search/read the Unique KB with the user permissions and admin scope restrictions. The documentation-only MCP endpoint is distinct.", "evidenceIds": [ "unique-ai:unique-ai:mcpkb" ] } ], "limitations": [ "No API/SDK fixture was run; complete endpoint catalogue, rate limits, budget enforcement and all-services audit parity remain unverified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:sdk", "unique-ai:unique-ai:sharepoint", "unique-ai:unique-ai:api-usage", "unique-ai:unique-ai:mcpkb" ] } ] }, { "id": "WORK-01", "title": "Clients and access points", "group": { "id": 4, "name": "Daily work" }, "judgment": "List web, desktop (Windows, macOS), iOS, Android, mobile browser and browser extension separately. For each, record login with company SSO, feature gaps against web, and MDM/Intune deployability. An installable app is different from a mobile website.", "questions": [ { "id": "web", "question": "Is a full web client available?" }, { "id": "desktop_apps", "question": "Windows and macOS apps?" }, { "id": "mobile_apps", "question": "iOS and Android apps with SSO?" }, { "id": "browser_extension", "question": "Is there a browser extension or sidebar?" }, { "id": "managed_deployment", "question": "Can IT deploy and configure clients through MDM?" }, { "id": "client_feature_gaps", "question": "Which features are missing on mobile?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The main deployment is a responsive browser client. Native clients, MDM and a supported sidebar extension were not verified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "web", "question": "Is a full web client available?", "support": "supported", "answer": "A Docker/npm deployment serves a browser application at the configured server URL.", "evidenceIds": [ "librechat:librechat:firstchat", "librechat:librechat:local" ] }, { "id": "desktop_apps", "question": "Windows and macOS apps?", "support": "unknown", "answer": "desktop_apps: Windows and macOS apps? The self-host installation and client docs did not establish native Windows/macOS apps, a first-party browser extension or Intune/MDM configuration.", "evidenceIds": [] }, { "id": "mobile_apps", "question": "iOS and Android apps with SSO?", "support": "partial", "answer": "Docs describe mobile navigation and temporary-chat controls in the web UI. No native iOS/Android client with company SSO was established.", "evidenceIds": [ "librechat:librechat:retention", "librechat:librechat:insights" ] }, { "id": "browser_extension", "question": "Is there a browser extension or sidebar?", "support": "unknown", "answer": "browser_extension: Is there a browser extension or sidebar? The self-host installation and client docs did not establish native Windows/macOS apps, a first-party browser extension or Intune/MDM configuration.", "evidenceIds": [] }, { "id": "managed_deployment", "question": "Can IT deploy and configure clients through MDM?", "support": "unknown", "answer": "managed_deployment: Can IT deploy and configure clients through MDM? The self-host installation and client docs did not establish native Windows/macOS apps, a first-party browser extension or Intune/MDM configuration.", "evidenceIds": [] }, { "id": "client_feature_gaps", "question": "Which features are missing on mobile?", "support": "partial", "answer": "Desktop/mobile layouts expose different navigation controls; no comprehensive parity matrix was tested.", "evidenceIds": [ "librechat:librechat:retention", "librechat:librechat:insights" ] } ], "limitations": [ "desktop_apps: Windows and macOS apps? The self-host installation and client docs did not establish native Windows/macOS apps, a first-party browser extension or Intune/MDM configuration.", "mobile_apps: Docs describe mobile navigation and temporary-chat controls in the web UI. No native iOS/Android client with company SSO was established.", "browser_extension: Is there a browser extension or sidebar? The self-host installation and client docs did not establish native Windows/macOS apps, a first-party browser extension or Intune/MDM configuration.", "managed_deployment: Can IT deploy and configure clients through MDM? The self-host installation and client docs did not establish native Windows/macOS apps, a first-party browser extension or Intune/MDM configuration.", "client_feature_gaps: Desktop/mobile layouts expose different navigation controls; no comprehensive parity matrix was tested." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:firstchat", "librechat:librechat:local", "librechat:librechat:retention", "librechat:librechat:insights" ] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "A web workspace is documented; native-client and managed-deployment coverage is unverified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "web", "question": "Is a full web client available?", "support": "supported", "answer": "Public documentation describes browser chat, Space Management and administration.", "evidenceIds": [ "unique-ai:unique-ai:chat", "unique-ai:unique-ai:agent" ] }, { "id": "desktop_apps", "question": "Windows and macOS apps?", "support": "unknown", "answer": "Windows and macOS apps? Unknown. The public material references an app and mobile voice/browser usage without a current Windows/macOS/iOS/Android SSO/MDM matrix. Browser extension/sidebar entitlement and mobile parity remain unknown.", "evidenceIds": [] }, { "id": "mobile_apps", "question": "iOS and Android apps with SSO?", "support": "unknown", "answer": "iOS and Android apps with SSO? Unknown. The public material references an app and mobile voice/browser usage without a current Windows/macOS/iOS/Android SSO/MDM matrix. Browser extension/sidebar entitlement and mobile parity remain unknown.", "evidenceIds": [] }, { "id": "browser_extension", "question": "Is there a browser extension or sidebar?", "support": "unknown", "answer": "Is there a browser extension or sidebar? Unknown. The public material references an app and mobile voice/browser usage without a current Windows/macOS/iOS/Android SSO/MDM matrix. Browser extension/sidebar entitlement and mobile parity remain unknown.", "evidenceIds": [] }, { "id": "managed_deployment", "question": "Can IT deploy and configure clients through MDM?", "support": "unknown", "answer": "Can IT deploy and configure clients through MDM? Unknown. The public material references an app and mobile voice/browser usage without a current Windows/macOS/iOS/Android SSO/MDM matrix. Browser extension/sidebar entitlement and mobile parity remain unknown.", "evidenceIds": [] }, { "id": "client_feature_gaps", "question": "Which features are missing on mobile?", "support": "unknown", "answer": "Which features are missing on mobile? Unknown. The public material references an app and mobile voice/browser usage without a current Windows/macOS/iOS/Android SSO/MDM matrix. Browser extension/sidebar entitlement and mobile parity remain unknown.", "evidenceIds": [] } ], "limitations": [ "The public material references an app and mobile voice/browser usage without a current Windows/macOS/iOS/Android SSO/MDM matrix. Browser extension/sidebar entitlement and mobile parity remain unknown." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:chat", "unique-ai:unique-ai:agent" ] } ] }, { "id": "WORK-02", "title": "Office suite and Teams integration", "group": { "id": 4, "name": "Daily work" }, "judgment": "Record presence inside Word, Excel, PowerPoint, Outlook and Teams (and Google Docs, Gmail), with what the assistant can do in each: read the open document, write into it, act on mail. Record extra licences and admin consent needed. A connector that searches Office files is KNOW-03, not WORK-02.", "questions": [ { "id": "word_excel_powerpoint", "question": "Does it work inside Word, Excel and PowerPoint?" }, { "id": "outlook", "question": "Does it work inside Outlook?" }, { "id": "teams", "question": "Is there a Teams app or bot?" }, { "id": "google_workspace_apps", "question": "Does it work inside Docs, Sheets or Gmail?" }, { "id": "licence_prerequisites", "question": "Which licences or consents are needed?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-02", "verificationStatus": "not-published", "support": "not-published", "answer": "We found no public information on this. A missing finding is not evidence that the product lacks the capability.", "availability": null, "delivery": null, "scope": null, "questions": [], "limitations": [], "checkedAt": null, "crossCheckedAt": null, "nextCheckAt": null, "evidenceIds": [] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-02", "verificationStatus": "not-published", "support": "not-published", "answer": "We found no public information on this. A missing finding is not evidence that the product lacks the capability.", "availability": null, "delivery": null, "scope": null, "questions": [], "limitations": [], "checkedAt": null, "crossCheckedAt": null, "nextCheckAt": null, "evidenceIds": [] } ] }, { "id": "WORK-03", "title": "Translation and writing", "group": { "id": 4, "name": "Daily work" }, "judgment": "Record document translation preserving layout, the translation engine (LLM or dedicated such as DeepL), glossaries, formality control, supported languages including Swiss German conventions (no ß), and rewriting/proofreading tools. Translate the shared German contract into French and Italian and record layout and glossary results.", "questions": [ { "id": "document_translation", "question": "Can whole documents be translated with formatting kept?" }, { "id": "translation_engine", "question": "Which engine translates?" }, { "id": "glossaries", "question": "Are company glossaries supported?" }, { "id": "formality_and_variants", "question": "Can formality and regional variants (de-CH) be set?" }, { "id": "writing_tools", "question": "Are dedicated rewrite and proofreading tools available?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-03", "verificationStatus": "not-published", "support": "not-published", "answer": "We found no public information on this. A missing finding is not evidence that the product lacks the capability.", "availability": null, "delivery": null, "scope": null, "questions": [], "limitations": [], "checkedAt": null, "crossCheckedAt": null, "nextCheckAt": null, "evidenceIds": [] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "A beta Translator Space translates Office files and text with configurable glossaries.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "document_translation", "question": "Can whole documents be translated with formatting kept?", "support": "partial", "answer": "DOCX, XLSX and PPTX document translation is documented, with possible layout disruption. PDF input is explicitly excluded in this Translator mode.", "evidenceIds": [ "unique-ai:unique-ai:translation" ] }, { "id": "translation_engine", "question": "Which engine translates?", "support": "partial", "answer": "Translator V2 is a standalone AI module configured with a model; no dedicated DeepL engine was established.", "evidenceIds": [ "unique-ai:unique-ai:translation" ] }, { "id": "glossaries", "question": "Are company glossaries supported?", "support": "supported", "answer": "Admins can configure glossary pre/postprocessing.", "evidenceIds": [ "unique-ai:unique-ai:translation" ] }, { "id": "formality_and_variants", "question": "Can formality and regional variants (de-CH) be set?", "support": "partial", "answer": "Postprocessing can change regional spelling, exemplified by US-to-UK English. Formality or de-CH-specific support was not verified.", "evidenceIds": [ "unique-ai:unique-ai:translation" ] }, { "id": "writing_tools", "question": "Are dedicated rewrite and proofreading tools available?", "support": "partial", "answer": "Chat generates and iterates on text; no distinct proofreading/rewriting tool scope was established.", "evidenceIds": [ "unique-ai:unique-ai:chat" ] } ], "limitations": [ "No translated-contract fixture was run. Exact engine/model, formality/de-CH controls, supported glossary language pairs and layout fidelity need verification." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:translation", "unique-ai:unique-ai:chat" ] } ] }, { "id": "WORK-04", "title": "Image generation and editing", "group": { "id": 4, "name": "Daily work" }, "judgment": "Record available image models, editing (inpainting, reference images), admin control and per-image cost visibility, and licence or usage terms for generated images.", "questions": [ { "id": "image_generation", "question": "Can users generate images, with which models?" }, { "id": "image_editing", "question": "Can users edit uploaded images?" }, { "id": "admin_control", "question": "Can admins restrict image generation?" }, { "id": "usage_terms", "question": "What usage rights apply to output?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Configured Agent image tools generate and edit images; model service rights/costs remain separate.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "image_generation", "question": "Can users generate images, with which models?", "support": "supported", "answer": "OpenAI Image Tools and additional documented provider tools attach to an Agent; the current guide defaults OpenAI tools to gpt-image-2.5-flare.", "evidenceIds": [ "librechat:librechat:images" ] }, { "id": "image_editing", "question": "Can users edit uploaded images?", "support": "supported", "answer": "The image guide documents editing/remixing uploaded images using image IDs and compatible tools.", "evidenceIds": [ "librechat:librechat:images" ] }, { "id": "admin_control", "question": "Can admins restrict image generation?", "support": "partial", "answer": "Operators control tool credentials/configuration and Agent creation/access permissions. A dedicated per-group image-spend switch was not established.", "evidenceIds": [ "librechat:librechat:images", "librechat:librechat:access" ] }, { "id": "usage_terms", "question": "What usage rights apply to output?", "support": "unknown", "answer": "usage_terms: What usage rights apply to output? Generated-output rights and complete per-image cost visibility were not established as a LibreChat software entitlement.", "evidenceIds": [] } ], "limitations": [ "admin_control: Operators control tool credentials/configuration and Agent creation/access permissions. A dedicated per-group image-spend switch was not established.", "usage_terms: What usage rights apply to output? Generated-output rights and complete per-image cost visibility were not established as a LibreChat software entitlement." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:images", "librechat:librechat:access" ] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-04", "verificationStatus": "not-published", "support": "not-published", "answer": "We found no public information on this. A missing finding is not evidence that the product lacks the capability.", "availability": null, "delivery": null, "scope": null, "questions": [], "limitations": [], "checkedAt": null, "crossCheckedAt": null, "nextCheckAt": null, "evidenceIds": [] } ] }, { "id": "WORK-05", "title": "Voice and meetings", "group": { "id": 4, "name": "Daily work" }, "judgment": "Record dictation, read-aloud, live voice conversation, meeting transcription and summarisation, supported languages including Swiss German speech, and where audio is processed.", "questions": [ { "id": "dictation", "question": "Can users dictate prompts?" }, { "id": "read_aloud", "question": "Can answers be read aloud?" }, { "id": "voice_conversation", "question": "Is a live voice mode available?" }, { "id": "meeting_summaries", "question": "Are meetings transcribed and summarised?" }, { "id": "swiss_german_speech", "question": "Is Swiss German speech recognised?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "LibreChat documents STT, TTS and a hands-free conversation mode that chains them. Real-time speech-to-speech behavior, meeting outcomes and Swiss German recognition remain unverified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Current self-hosted LibreChat Speech Settings documentation retrieved 2026-10-21; no voice-latency or dialect fixture performed", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [ "Optional configured STT/TTS engines and provider credentials; self-hosted speech services need allowedAddresses" ], "deploymentMode": "on-premise", "region": "Customer-selected app infrastructure; audio processing depends on browser or configured external/self-hosted speech engines, with no universal region verified", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "dictation", "question": "Can users dictate prompts?", "support": "supported", "answer": "Speech configuration provides STT for audio input.", "evidenceIds": [ "librechat:librechat:speech" ] }, { "id": "read_aloud", "question": "Can answers be read aloud?", "support": "supported", "answer": "Speech configuration provides TTS for model responses.", "evidenceIds": [ "librechat:librechat:speech" ] }, { "id": "voice_conversation", "question": "Is a live voice mode available?", "support": "partial", "answer": "speechTab.conversationMode chains STT and TTS for hands-free turns: autoSendText sends the transcript after a configured delay, and automaticPlayback reads a completed response. Microphone recording is initially started by the user. Real-time speech-to-speech, interruption behavior and end-to-end latency were not tested.", "evidenceIds": [ "librechat:librechat:speech-conversation-r2" ] }, { "id": "meeting_summaries", "question": "Are meetings transcribed and summarised?", "support": "unknown", "answer": "No meeting capture/integration, speaker diarization or meeting-summary fixture was verified in the reviewed speech documentation.", "evidenceIds": [] }, { "id": "swiss_german_speech", "question": "Is Swiss German speech recognised?", "support": "unknown", "answer": "Swiss German recognition and transcript quality were not tested; a language setting does not establish dialect accuracy.", "evidenceIds": [] } ], "limitations": [ "Conversation mode is a chain of transcription, text generation and playback; real-time audio-to-audio behavior, interruption and latency were not verified.", "Audio location depends on the chosen engine. No meeting or Swiss German fixture was run." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:speech", "librechat:librechat:speech-conversation-r2" ] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Voice dictation is documented with Azure Speech prerequisites; recording use is separately described in the DPA.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "dictation", "question": "Can users dictate prompts?", "support": "supported", "answer": "Microphone transcribes into the prompt field, with audio discarded after live transcription. Requires configured Azure AI Speech Services; EN/DE/FR/IT are listed.", "evidenceIds": [ "unique-ai:unique-ai:voice", "unique-ai:unique-ai:voice-user" ] }, { "id": "read_aloud", "question": "Can answers be read aloud?", "support": "unknown", "answer": "Can answers be read aloud? Unknown. Read-aloud and full voice conversation, recording-specific plans/limits and verified Swiss German recognition are not established. Voice guide warns about dialects; audio route may traverse public internet/Azure backbone.", "evidenceIds": [] }, { "id": "voice_conversation", "question": "Is a live voice mode available?", "support": "unknown", "answer": "Is a live voice mode available? Unknown. Read-aloud and full voice conversation, recording-specific plans/limits and verified Swiss German recognition are not established. Voice guide warns about dialects; audio route may traverse public internet/Azure backbone.", "evidenceIds": [] }, { "id": "meeting_summaries", "question": "Are meetings transcribed and summarised?", "support": "partial", "answer": "DPA recording use case covers audio/transcripts, optional video and GPT summaries/follow-up emails. This is a contracted recording use case, not proof every Chat plan includes meeting capture.", "evidenceIds": [ "unique-ai:unique-ai:dpa" ] }, { "id": "swiss_german_speech", "question": "Is Swiss German speech recognised?", "support": "unknown", "answer": "Is Swiss German speech recognised? Unknown. Read-aloud and full voice conversation, recording-specific plans/limits and verified Swiss German recognition are not established. Voice guide warns about dialects; audio route may traverse public internet/Azure backbone.", "evidenceIds": [] } ], "limitations": [ "Read-aloud and full voice conversation, recording-specific plans/limits and verified Swiss German recognition are not established. Voice guide warns about dialects; audio route may traverse public internet/Azure backbone." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:voice", "unique-ai:unique-ai:voice-user", "unique-ai:unique-ai:dpa" ] } ] }, { "id": "WORK-06", "title": "Data analysis and document output", "group": { "id": 4, "name": "Daily work" }, "judgment": "Record code execution for data analysis, charts, and generation of downloadable Word, Excel, PowerPoint and PDF files. Analyse the fixture Excel and request a PowerPoint summary. Record where code runs and whether files are editable.", "questions": [ { "id": "data_analysis", "question": "Can it analyse spreadsheets with executed code?" }, { "id": "charts", "question": "Can it produce charts?" }, { "id": "office_file_output", "question": "Can it create Word, Excel or PowerPoint files?" }, { "id": "canvas_editing", "question": "Is there a document or canvas editor for iterating on output?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The separate Code Interpreter runs analysis and produces downloadable files; artifacts provide code/HTML/diagram previews.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [ "Separately operated compatible Code Interpreter service", "Experimental stateful workspaces only if explicitly configured" ], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "data_analysis", "question": "Can it analyse spreadsheets with executed code?", "support": "supported", "answer": "Configured Code Interpreter executes programs against uploaded files in its separate sandbox.", "evidenceIds": [ "librechat:librechat:code" ] }, { "id": "charts", "question": "Can it produce charts?", "support": "partial", "answer": "Code execution and generated-file downloads support chart artifacts, but the shared spreadsheet/chart fixture was not run.", "evidenceIds": [ "librechat:librechat:code" ] }, { "id": "office_file_output", "question": "Can it create Word, Excel or PowerPoint files?", "support": "partial", "answer": "Generated files are downloadable; editable Word/Excel/PowerPoint fidelity was not established with a fixture.", "evidenceIds": [ "librechat:librechat:code" ] }, { "id": "canvas_editing", "question": "Is there a document or canvas editor for iterating on output?", "support": "partial", "answer": "Artifacts render React/HTML/Mermaid content and source; a rich Office document editor was not established.", "evidenceIds": [ "librechat:librechat:artifacts" ] } ], "limitations": [ "charts: Code execution and generated-file downloads support chart artifacts, but the shared spreadsheet/chart fixture was not run.", "office_file_output: Generated files are downloadable; editable Word/Excel/PowerPoint fidelity was not established with a fixture.", "canvas_editing: Artifacts render React/HTML/Mermaid content and source; a rich Office document editor was not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:code", "librechat:librechat:artifacts" ] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Enabled Chat Code Execution and Conduct can analyse data and produce downloadable files. Selected KB documents can be preloaded into the code container; ordinary unrestricted KB retrieval is separate.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "conduct" ], "version": null, "plan": "Contracted Unique AI platform; Chat Code Execution or Conduct; model compatibility and flags configured separately availability and deployment/provider configuration depend on the customer agreement", "addOns": [ "Code Execution / Conduct enablement per contract" ], "deploymentMode": null, "region": "Documented Azure code container for the Azure route; LiteLLM execution region unverified; Conduct sandbox per contracted deployment", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "conduct", "name": "Unique AI Conduct", "type": "agent-workspace" } ] }, "questions": [ { "id": "data_analysis", "question": "Can it analyse spreadsheets with executed code?", "support": "partial", "answer": "Chat Code Execution runs Python for CSV/XLSX analysis. The general limitation says KB files are not directly accessible, but admin configuration additionalUploadedDocuments preloads selected KB content_ids, for example templates, into the container. The documented Azure route has no outbound internet/runtime installs and a ten-file/100 MB per-file limit. The compatibility table also lists LiteLLM OpenAI models; that does not establish the same execution-region controls for every route. Conduct separately runs Python/Bash.", "evidenceIds": [ "unique-ai:unique-ai:review2-code", "unique-ai:unique-ai:conduct" ] }, { "id": "charts", "question": "Can it produce charts?", "support": "supported", "answer": "The Code Execution guide documents matplotlib PNG/SVG and inline charts. Its described Azure container lacks kaleido, limiting Plotly static exports; no statement about every alternative runtime is inferred.", "evidenceIds": [ "unique-ai:unique-ai:review2-code" ] }, { "id": "office_file_output", "question": "Can it create Word, Excel or PowerPoint files?", "support": "partial", "answer": "The guide documents DOCX/XLSX generation and PPTX from supplied templates, with variable presentation quality. KB templates can be supplied by the admin preload setting. Generated files remain outside Conduct source-citation/hallucination checks.", "evidenceIds": [ "unique-ai:unique-ai:review2-code", "unique-ai:unique-ai:conduct" ] }, { "id": "canvas_editing", "question": "Is there a document or canvas editor for iterating on output?", "support": "unknown", "answer": "No dedicated canvas editor or editable spreadsheet-to-PowerPoint fixture result was established. Downloadable file generation does not establish in-product canvas editing.", "evidenceIds": [] } ], "limitations": [ "Selected admin-preloaded KB files are supported; this is not arbitrary sandbox retrieval of the whole Knowledge Base.", "The page lists Azure and LiteLLM-compatible model IDs but describes Azure-specific container controls. Actual provider execution routing and entitlement require deployment configuration.", "No generated-file quality/editability fixture was run." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:review2-code", "unique-ai:unique-ai:conduct" ] } ] }, { "id": "WORK-07", "title": "Sharing and team spaces", "group": { "id": 4, "name": "Daily work" }, "judgment": "Record chat sharing (link, user, group), shared projects or team spaces, channels or group chat with AI, and commenting. Test sharing a chat with a colleague in another group and record what the recipient sees, including knowledge they lack access to.", "questions": [ { "id": "share_chats", "question": "Can chats be shared inside the organisation?" }, { "id": "team_spaces", "question": "Are shared projects or workspaces available?" }, { "id": "group_chat", "question": "Can several people chat together with the AI?" }, { "id": "share_permission_boundary", "question": "Does sharing respect the recipient's access to sources?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Shared chat links publish transcript snapshots and optional files. Projects are personal, and shared source permission boundaries need care.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "share_chats", "question": "Can chats be shared inside the organisation?", "support": "supported", "answer": "Authenticated shared links are supported, with optional public viewing; public unauthenticated access is off by default.", "evidenceIds": [ "librechat:librechat:share" ] }, { "id": "team_spaces", "question": "Are shared projects or workspaces available?", "support": "unsupported", "answer": "Projects specifically cannot be shared or transferred and are personal to the creator. Shared Agents/resources are a separate capability.", "evidenceIds": [ "librechat:librechat:projects" ] }, { "id": "group_chat", "question": "Can several people chat together with the AI?", "support": "unknown", "answer": "group_chat: Can several people chat together with the AI? Simultaneous multi-person AI group chat was not established from Projects and shareable-link documentation; link continuation creates a separate personal copy.", "evidenceIds": [] }, { "id": "share_permission_boundary", "question": "Does sharing respect the recipient's access to sources?", "support": "partial", "answer": "Published file snapshots are served independently of the owner’s live file ACL. Sharing grants access to the published copy, not continuing source-system authorization; no restricted-source fixture was run.", "evidenceIds": [ "librechat:librechat:share" ] } ], "limitations": [ "group_chat: Can several people chat together with the AI? Simultaneous multi-person AI group chat was not established from Projects and shareable-link documentation; link continuation creates a separate personal copy.", "share_permission_boundary: Published file snapshots are served independently of the owner’s live file ACL. Sharing grants access to the published copy, not continuing source-system authorization; no restricted-source fixture was run." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:share", "librechat:librechat:projects" ] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Shared Chats is GA in release 2026.42, with company settings and a per-Space toggle. Simultaneous group conversation and recipient source-permission handling remain unverified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": "2026.42 or later", "plan": "Contracted Unique AI platform; Shared Chats and Spaces; sharing settings and deployed release availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "share_chats", "question": "Can chats be shared inside the organisation?", "support": "supported", "answer": "Release 2026.42 makes whole-chat sharing GA and on by default for companies, while each Space still needs its Shared chat toggle. Explicit existing company preferences are preserved. Owners can search recipients and copy share links.", "evidenceIds": [ "unique-ai:unique-ai:review2-release42" ] }, { "id": "team_spaces", "question": "Are shared projects or workspaces available?", "support": "partial", "answer": "Admins publish shared Spaces with people/group Can chat and Can manage roles. These share agent configuration/knowledge, not necessarily a conversation.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "group_chat", "question": "Can several people chat together with the AI?", "support": "unknown", "answer": "Whole-chat sharing is documented. A simultaneous multi-person AI conversation, collaborative commenting or live co-editing mode was not established or tested.", "evidenceIds": [] }, { "id": "share_permission_boundary", "question": "Does sharing respect the recipient's access to sources?", "support": "unknown", "answer": "Whole-chat sharing is documented, but whether a recipient can open every cited source or inherits source permissions was not established in the retrieved release/Space documentation. No cross-group fixture was run.", "evidenceIds": [] } ], "limitations": [ "A shared conversation is not evidence of simultaneous group participation or recipient access to every source.", "No cross-group shared-chat permission fixture was run." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:review2-release42" ] } ] }, { "id": "WORK-08", "title": "Interface languages and accessibility", "group": { "id": 4, "name": "Daily work" }, "judgment": "Record UI languages, focusing on German, French, Italian and English, with translation quality observed (complete, partial, machine-translated). Record response language handling and WCAG conformance statements.", "questions": [ { "id": "ui_languages", "question": "Which UI languages are offered?" }, { "id": "dach_language_quality", "question": "Are German, French and Italian UIs complete and natural?" }, { "id": "accessibility_statement", "question": "Is there a WCAG conformance statement?" }, { "id": "admin_ui_languages", "question": "Is the admin interface available in German?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:WORK-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "English, German, French and Italian UI resources are registered in the pinned client; quality and accessibility conformance were not evaluated.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "ui_languages", "question": "Which UI languages are offered?", "support": "supported", "answer": "The client i18n implementation registers en, de, fr and it among community-maintained translations.", "evidenceIds": [ "librechat:librechat:i18n-pin" ] }, { "id": "dach_language_quality", "question": "Are German, French and Italian UIs complete and natural?", "support": "unknown", "answer": "dach_language_quality: Are German, French and Italian UIs complete and natural? No complete DE/FR/IT walkthrough, German separate-admin-panel coverage test or WCAG conformance statement/report was verified.", "evidenceIds": [] }, { "id": "accessibility_statement", "question": "Is there a WCAG conformance statement?", "support": "unknown", "answer": "accessibility_statement: Is there a WCAG conformance statement? No complete DE/FR/IT walkthrough, German separate-admin-panel coverage test or WCAG conformance statement/report was verified.", "evidenceIds": [] }, { "id": "admin_ui_languages", "question": "Is the admin interface available in German?", "support": "unknown", "answer": "admin_ui_languages: Is the admin interface available in German? No complete DE/FR/IT walkthrough, German separate-admin-panel coverage test or WCAG conformance statement/report was verified.", "evidenceIds": [] } ], "limitations": [ "dach_language_quality: Are German, French and Italian UIs complete and natural? No complete DE/FR/IT walkthrough, German separate-admin-panel coverage test or WCAG conformance statement/report was verified.", "accessibility_statement: Is there a WCAG conformance statement? No complete DE/FR/IT walkthrough, German separate-admin-panel coverage test or WCAG conformance statement/report was verified.", "admin_ui_languages: Is the admin interface available in German? No complete DE/FR/IT walkthrough, German separate-admin-panel coverage test or WCAG conformance statement/report was verified." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:i18n-pin" ] }, { "productId": "unique-ai", "claimId": "unique-ai:WORK-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Current release notes document German, French and Swiss German UI language behaviour; completeness and accessibility remain unverified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "ui_languages", "question": "Which UI languages are offered?", "support": "partial", "answer": "Release2026.42 describes German/French label translations and selected-language login/notices/errors/side-panels, including Swiss German spellings. A complete language matrix was not provided.", "evidenceIds": [ "unique-ai:unique-ai:release42" ] }, { "id": "dach_language_quality", "question": "Are German, French and Italian UIs complete and natural?", "support": "unknown", "answer": "Are German, French and Italian UIs complete and natural? Unknown. DE/FR/IT/EN voice and text-language capabilities are not a UI-localisation matrix. No authenticated user/admin language-quality pass or current WCAG conformance statement was obtained.", "evidenceIds": [] }, { "id": "accessibility_statement", "question": "Is there a WCAG conformance statement?", "support": "unknown", "answer": "Is there a WCAG conformance statement? Unknown. DE/FR/IT/EN voice and text-language capabilities are not a UI-localisation matrix. No authenticated user/admin language-quality pass or current WCAG conformance statement was obtained.", "evidenceIds": [] }, { "id": "admin_ui_languages", "question": "Is the admin interface available in German?", "support": "unknown", "answer": "Is the admin interface available in German? Unknown. DE/FR/IT/EN voice and text-language capabilities are not a UI-localisation matrix. No authenticated user/admin language-quality pass or current WCAG conformance statement was obtained.", "evidenceIds": [] } ], "limitations": [ "Release notes describe locale fixes, not a full UI audit or conformance statement. No authenticated UI was reviewed." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:release42" ] } ] }, { "id": "ADM-01", "title": "Single sign-on and authentication", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record SAML, OIDC, Microsoft Entra ID, Google, LDAP, MFA enforcement, conditional-access compatibility, domain verification and plan restrictions. Test one SSO login on a trial where possible.", "questions": [ { "id": "sso_protocols", "question": "Which SSO protocols and identity providers work?" }, { "id": "sso_plan", "question": "Which plan includes SSO?" }, { "id": "mfa", "question": "Can MFA be enforced?" }, { "id": "conditional_access", "question": "Do Entra conditional-access policies apply?" }, { "id": "domain_capture", "question": "Can the company claim its email domain?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Self-hosted authentication supports OAuth/OIDC, SAML and LDAP; local/LDAP TOTP can be enforced.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "sso_protocols", "question": "Which SSO protocols and identity providers work?", "support": "supported", "answer": "OIDC/OAuth providers include Entra, Google, Keycloak and Auth0; SAML and LDAP are documented separately.", "evidenceIds": [ "librechat:librechat:openid", "librechat:librechat:saml", "librechat:librechat:auth" ] }, { "id": "sso_plan", "question": "Which plan includes SSO?", "support": "supported", "answer": "The authentication configuration belongs to the MIT self-hosted project, with no separate SSO licence tariff.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:auth" ] }, { "id": "mfa", "question": "Can MFA be enforced?", "support": "supported", "answer": "ENFORCE_TWO_FACTOR_AUTHENTICATION requires local/LDAP enrollment and prevents disabling it; federated accounts depend on IdP MFA.", "evidenceIds": [ "librechat:librechat:auth" ] }, { "id": "conditional_access", "question": "Do Entra conditional-access policies apply?", "support": "partial", "answer": "Entra authentication and token reuse are documented, but an actual conditional-access/device-policy login was not tested.", "evidenceIds": [ "librechat:librechat:entra" ] }, { "id": "domain_capture", "question": "Can the company claim its email domain?", "support": "unknown", "answer": "domain_capture: Can the company claim its email domain? Registration/domain filters were not established as a tenant-wide company-domain ownership claim.", "evidenceIds": [] } ], "limitations": [ "conditional_access: Entra authentication and token reuse are documented, but an actual conditional-access/device-policy login was not tested.", "domain_capture: Can the company claim its email domain? Registration/domain filters were not established as a tenant-wide company-domain ownership claim." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:openid", "librechat:librechat:saml", "librechat:librechat:auth", "librechat:librechat:license", "librechat:librechat:entra" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Zitadel supports Entra OIDC, generic OIDC and SAML across documented deployment types.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "sso_protocols", "question": "Which SSO protocols and identity providers work?", "support": "supported", "answer": "Setup guides explicitly cover Entra ID OIDC, generic OIDC and SAML, including IdP metadata for closed networks.", "evidenceIds": [ "unique-ai:unique-ai:sso" ] }, { "id": "sso_plan", "question": "Which plan includes SSO?", "support": "partial", "answer": "Compliance matrix lists SSO for multi-tenant, single-tenant, client-hosted and on-premise modes. Numeric tariff prerequisites are not public.", "evidenceIds": [ "unique-ai:unique-ai:sso", "unique-ai:unique-ai:compliance" ] }, { "id": "mfa", "question": "Can MFA be enforced?", "support": "partial", "answer": "Hosted compliance matrix lists enforced 2FA; SSO setup delegates authentication to the external IdP. Exact customer MFA policy controls need verification.", "evidenceIds": [ "unique-ai:unique-ai:sso", "unique-ai:unique-ai:compliance" ] }, { "id": "conditional_access", "question": "Do Entra conditional-access policies apply?", "support": "unknown", "answer": "Do Entra conditional-access policies apply? Unknown. Entra conditional-access compatibility, verified domain capture and tariff-specific SSO/MFA entitlements were not tested/documented.", "evidenceIds": [] }, { "id": "domain_capture", "question": "Can the company claim its email domain?", "support": "unknown", "answer": "Can the company claim its email domain? Unknown. Entra conditional-access compatibility, verified domain capture and tariff-specific SSO/MFA entitlements were not tested/documented.", "evidenceIds": [] } ], "limitations": [ "Entra conditional-access compatibility, verified domain capture and tariff-specific SSO/MFA entitlements were not tested/documented." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:sso", "unique-ai:unique-ai:compliance" ] } ] }, { "id": "ADM-02", "title": "User provisioning and lifecycle", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record SCIM, just-in-time provisioning, group sync from the identity provider, deprovisioning effects (chats, assistants, knowledge ownership transfer) and licence assignment. Deprovision a test user and record what happens to their content.", "questions": [ { "id": "scim", "question": "Is SCIM provisioning supported?" }, { "id": "group_sync", "question": "Are identity-provider groups synced?" }, { "id": "jit_provisioning", "question": "Are users created at first login?" }, { "id": "deprovisioning", "question": "What happens to a removed user's data and shared assets?" }, { "id": "seat_assignment", "question": "Can admins assign and reclaim seats?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Entra group synchronization and federated account creation are documented; SCIM and leaver content transfer remain unknown.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "scim", "question": "Is SCIM provisioning supported?", "support": "unknown", "answer": "scim: Is SCIM provisioning supported? SCIM was not established in the authentication/access docs or pinned repository path review. No two-user deprovisioning fixture was run.", "evidenceIds": [] }, { "id": "group_sync", "question": "Are identity-provider groups synced?", "support": "supported", "answer": "With Entra OIDC token reuse, Graph groups sync at login; resource ACL principal membership has a documented cache.", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:entra" ] }, { "id": "jit_provisioning", "question": "Are users created at first login?", "support": "supported", "answer": "Federated login creates accounts according to the authentication configuration; OpenID/SAML registration cannot be independently disabled.", "evidenceIds": [ "librechat:librechat:auth" ] }, { "id": "deprovisioning", "question": "What happens to a removed user's data and shared assets?", "support": "partial", "answer": "The docs provide user deletion scripts, but content ownership transfer and revocation behavior were not fixture-tested.", "evidenceIds": [ "librechat:librechat:auth" ] }, { "id": "seat_assignment", "question": "Can admins assign and reclaim seats?", "support": "partial", "answer": "Operators manage accounts/roles under an MIT licence; there is no per-seat licence entitlement in the scoped source.", "evidenceIds": [ "librechat:librechat:auth", "librechat:librechat:license" ] } ], "limitations": [ "scim: Is SCIM provisioning supported? SCIM was not established in the authentication/access docs or pinned repository path review. No two-user deprovisioning fixture was run.", "deprovisioning: The docs provide user deletion scripts, but content ownership transfer and revocation behavior were not fixture-tested.", "seat_assignment: Operators manage accounts/roles under an MIT licence; there is no per-seat licence entitlement in the scoped source." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:entra", "librechat:librechat:auth", "librechat:librechat:license" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "SCIM, group sync and SAML automatic user creation are documented.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "scim", "question": "Is SCIM provisioning supported?", "support": "supported", "answer": "Unique supplies SCIM URL/key for IdP synchronisation, with an Entra guide.", "evidenceIds": [ "unique-ai:unique-ai:scim" ] }, { "id": "group_sync", "question": "Are identity-provider groups synced?", "support": "supported", "answer": "SCIM syncs users/groups; SSO group claims can also sync on login, requiring optional Graph group permission/admin consent.", "evidenceIds": [ "unique-ai:unique-ai:scim", "unique-ai:unique-ai:sso" ] }, { "id": "jit_provisioning", "question": "Are users created at first login?", "support": "supported", "answer": "SAML setup explicitly enables automatic creation/update and account creation.", "evidenceIds": [ "unique-ai:unique-ai:sso" ] }, { "id": "deprovisioning", "question": "What happens to a removed user's data and shared assets?", "support": "unknown", "answer": "What happens to a removed user's data and shared assets? Unknown. Leaver-content ownership transfer, deletion effects and licence assignment/reclamation are not specified; no deprovisioning fixture was run.", "evidenceIds": [] }, { "id": "seat_assignment", "question": "Can admins assign and reclaim seats?", "support": "unknown", "answer": "Can admins assign and reclaim seats? Unknown. Leaver-content ownership transfer, deletion effects and licence assignment/reclamation are not specified; no deprovisioning fixture was run.", "evidenceIds": [] } ], "limitations": [ "Leaver-content ownership transfer, deletion effects and licence assignment/reclamation are not specified; no deprovisioning fixture was run." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:scim", "unique-ai:unique-ai:sso" ] } ] }, { "id": "ADM-03", "title": "Roles, groups and feature permissions", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record admin roles, delegated admins, groups, per-feature permissions (web search, image generation, connectors, file upload, agents), separation of subsidiaries or departments, and enforcement. Test one disabled feature for one group.", "questions": [ { "id": "admin_roles", "question": "Which admin roles exist, and can admin rights be delegated?" }, { "id": "groups", "question": "Can permissions be set per group?" }, { "id": "feature_toggles", "question": "Which features can be switched on or off per group?" }, { "id": "multi_entity", "question": "Can subsidiaries or departments be separated within one contract?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Role permissions, resource ACLs and system grants support granular governance; the separate management UI remains preview.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web", "admin-panel-preview" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [ "Separate Admin Panel preview for GUI management" ], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" }, { "id": "admin-panel-preview", "name": "Separately deployed LibreChat Admin Panel preview", "type": "administration" } ] }, "questions": [ { "id": "admin_roles", "question": "Which admin roles exist, and can admin rights be delegated?", "support": "supported", "answer": "ADMIN/USER and custom roles exist; capability grants can delegate selected administrative functions without full admin.", "evidenceIds": [ "librechat:librechat:access" ] }, { "id": "groups", "question": "Can permissions be set per group?", "support": "supported", "answer": "Local and Entra groups can receive ACLs, system grants and configuration overrides.", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:admin" ] }, { "id": "feature_toggles", "question": "Which features can be switched on or off per group?", "support": "supported", "answer": "Permissions include Agents, MCP, prompts, memory, search, file search/citations and code execution.", "evidenceIds": [ "librechat:librechat:access" ] }, { "id": "multi_entity", "question": "Can subsidiaries or departments be separated within one contract?", "support": "partial", "answer": "Tenant-scoped API queries and group/configuration boundaries are documented. A commercial multi-entity contract and tested tenant isolation were not established.", "evidenceIds": [ "librechat:librechat:insights", "librechat:librechat:access" ] } ], "limitations": [ "Separate admin management UI is preview; the core authorization model is documented as available.", "No two-group disabled-feature fixture was run." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:access", "librechat:librechat:admin", "librechat:librechat:insights" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Four role/access layers separate identity, feature, Space and knowledge controls.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "admin_roles", "question": "Which admin roles exist, and can admin rights be delegated?", "support": "supported", "answer": "IAM owner/viewer/org-manager plus Unique application roles delegate administration; Space Can manage grants local configuration.", "evidenceIds": [ "unique-ai:unique-ai:roles", "unique-ai:unique-ai:agent" ] }, { "id": "groups", "question": "Can permissions be set per group?", "support": "supported", "answer": "Users/groups receive Space and ScopeAccess permissions.", "evidenceIds": [ "unique-ai:unique-ai:roles" ] }, { "id": "feature_toggles", "question": "Which features can be switched on or off per group?", "support": "partial", "answer": "Tools and upload settings are configured per Space, then Spaces shared to groups. A global group-feature matrix is not established.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "multi_entity", "question": "Can subsidiaries or departments be separated within one contract?", "support": "partial", "answer": "Compliance docs describe workspace isolation for departments/client engagements. Multi-subsidiary contractual/billing boundaries are not specified.", "evidenceIds": [ "unique-ai:unique-ai:compliance" ] } ], "limitations": [ "No two-user disabled-feature test was run. Full cross-Space per-group controls and legal-entity separation require contracted setup." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:roles", "unique-ai:unique-ai:agent", "unique-ai:unique-ai:compliance" ] } ] }, { "id": "ADM-04", "title": "Usage and adoption analytics", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record dashboards for active users, usage by feature, model, group and assistant, export, and privacy controls (aggregation, pseudonymisation, works-council-friendly settings). Distinguish aggregate adoption metrics from per-person monitoring.", "questions": [ { "id": "adoption_dashboard", "question": "Is there an adoption dashboard?" }, { "id": "breakdowns", "question": "Can usage be broken down by group, model, feature and assistant?" }, { "id": "export", "question": "Can usage data be exported?" }, { "id": "privacy_modes", "question": "Can per-person reporting be limited or pseudonymised?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Optional Insights reports identifiable activity; token transactions and optional tracing are separate sources of usage detail.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "adoption_dashboard", "question": "Is there an adoption dashboard?", "support": "supported", "answer": "Opt-in Insights reports conversations, unique users, messages, tokens, top users and recent conversations.", "evidenceIds": [ "librechat:librechat:insights" ] }, { "id": "breakdowns", "question": "Can usage be broken down by group, model, feature and assistant?", "support": "partial", "answer": "Insights supports Agent filtering and user activity; recorded token/context cost details are per model/endpoint. Complete group/feature/assistant exports were not established.", "evidenceIds": [ "librechat:librechat:insights", "librechat:librechat:tokens" ] }, { "id": "export", "question": "Can usage data be exported?", "support": "unknown", "answer": "export: Can usage data be exported? A documented complete admin analytics export and group/cost-centre dataset were not verified.", "evidenceIds": [] }, { "id": "privacy_modes", "question": "Can per-person reporting be limited or pseudonymised?", "support": "partial", "answer": "Insights is off unless enabled and is capability-gated; it can display names, emails and first-message content. Pseudonymized reporting was not established.", "evidenceIds": [ "librechat:librechat:insights" ] } ], "limitations": [ "breakdowns: Insights supports Agent filtering and user activity; recorded token/context cost details are per model/endpoint. Complete group/feature/assistant exports were not established.", "export: Can usage data be exported? A documented complete admin analytics export and group/cost-centre dataset were not verified.", "privacy_modes: Insights is off unless enabled and is capability-gated; it can display names, emails and first-message content. Pseudonymized reporting was not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:insights", "librechat:librechat:tokens" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Analytics exports cover adoption, assistants, models and tools with privacy controls.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "adoption_dashboard", "question": "Is there an adoption dashboard?", "support": "supported", "answer": "Reports cover daily/weekly/monthly active users, assistant interactions and document reference statistics.", "evidenceIds": [ "unique-ai:unique-ai:analytics" ] }, { "id": "breakdowns", "question": "Can usage be broken down by group, model, feature and assistant?", "support": "partial", "answer": "Detailed exports include assistant/model, tool calls, skills, cost and tokens. Group and cost-centre breakdowns were not established.", "evidenceIds": [ "unique-ai:unique-ai:analytics" ] }, { "id": "export", "question": "Can usage data be exported?", "support": "supported", "answer": "Admins request and download reports with date/assistant filtering; model usage supports CSV.", "evidenceIds": [ "unique-ai:unique-ai:analytics", "unique-ai:unique-ai:cost" ] }, { "id": "privacy_modes", "question": "Can per-person reporting be limited or pseudonymised?", "support": "supported", "answer": "Environment flags anonymise export emails, optionally with stable pseudonyms; detailed exports respect organisation settings.", "evidenceIds": [ "unique-ai:unique-ai:analytics" ] } ], "limitations": [ "Exact group breakdowns, every dashboard entitlement and suppression beyond exported identifiers need verification." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:analytics", "unique-ai:unique-ai:cost" ] } ] }, { "id": "ADM-05", "title": "Spend controls and cost allocation", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record cost visibility per user, group and cost centre, budgets and their behaviour (alert, block, downgrade model), pooled credits, and chargeback exports. Test a small budget on a trial where possible. Distinguish billed amounts, estimates and unavailable amounts.", "questions": [ { "id": "cost_visibility", "question": "Can admins see cost or consumption per user and group?" }, { "id": "budgets", "question": "Can budgets be set per user or group?" }, { "id": "budget_enforcement", "question": "Does reaching a budget alert, block or downgrade?" }, { "id": "chargeback", "question": "Can costs be exported per cost centre?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Optional token-credit balances block admission when insufficient; credit estimates differ from actual cloud invoices.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "cost_visibility", "question": "Can admins see cost or consumption per user and group?", "support": "partial", "answer": "Token transactions and configured token prices support per-user/model estimates. Insights explicitly reports activity rather than monetary billing.", "evidenceIds": [ "librechat:librechat:tokens", "librechat:librechat:insights" ] }, { "id": "budgets", "question": "Can budgets be set per user or group?", "support": "partial", "answer": "Optional per-user start balances and automatic refills are documented. Group/cost-centre pooled budgets were not established.", "evidenceIds": [ "librechat:librechat:balance" ] }, { "id": "budget_enforcement", "question": "Does reaching a budget alert, block or downgrade?", "support": "supported", "answer": "Pinned balance middleware reserves estimated token cost and throws an error if credits cannot be reserved; no low-budget trial was run.", "evidenceIds": [ "librechat:librechat:balance-pin" ] }, { "id": "chargeback", "question": "Can costs be exported per cost centre?", "support": "unknown", "answer": "chargeback: Can costs be exported per cost centre? Cost-centre chargeback exports and reconciliation to actual vendor invoices were not established.", "evidenceIds": [] } ], "limitations": [ "cost_visibility: Token transactions and configured token prices support per-user/model estimates. Insights explicitly reports activity rather than monetary billing.", "budgets: Optional per-user start balances and automatic refills are documented. Group/cost-centre pooled budgets were not established.", "chargeback: Can costs be exported per cost centre? Cost-centre chargeback exports and reconciliation to actual vendor invoices were not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:tokens", "librechat:librechat:insights", "librechat:librechat:balance", "librechat:librechat:balance-pin" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Off-by-default beta cost management offers estimated spend and enforced daily caps.", "availability": "beta", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "cost_visibility", "question": "Can admins see cost or consumption per user and group?", "support": "partial", "answer": "Tracks estimated USD/input/output tokens by user, model, assistant/app; a billed invoice reconciliation or group cost view is not established.", "evidenceIds": [ "unique-ai:unique-ai:cost" ] }, { "id": "budgets", "question": "Can budgets be set per user or group?", "support": "supported", "answer": "Company fallback, group and user daily USD caps; user override first, highest applicable group limit next.", "evidenceIds": [ "unique-ai:unique-ai:cost" ] }, { "id": "budget_enforcement", "question": "Does reaching a budget alert, block or downgrade?", "support": "supported", "answer": "Before the next call, accumulated daily spend at cap blocks the model call; resets at local midnight. Docs warn caps may break background-job SLAs.", "evidenceIds": [ "unique-ai:unique-ai:cost" ] }, { "id": "chargeback", "question": "Can costs be exported per cost centre?", "support": "partial", "answer": "CSV exports contain user/app/assistant/model/token/cost metadata, with privacy controls. Cost-centre attribution is not documented.", "evidenceIds": [ "unique-ai:unique-ai:cost" ] } ], "limitations": [ "No small-budget fixture was run. Estimates are configurable cost-sheet values, not a public billing tariff; cost-centre and full invoice reconciliation remain gaps." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:cost" ] } ] }, { "id": "ADM-06", "title": "Audit logs and compliance export", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record which events are logged (logins, admin changes, prompts, responses, file access, connector queries), retention, export or SIEM streaming, and eDiscovery/legal hold. Use the word audit only with a defined retention and integrity model.", "questions": [ { "id": "admin_events", "question": "Are admin and security events logged?" }, { "id": "content_logging", "question": "Can prompts and answers be retained for compliance, and is it configurable?" }, { "id": "siem_export", "question": "Can logs stream to a SIEM or be exported?" }, { "id": "ediscovery", "question": "Are eDiscovery and legal hold supported?" }, { "id": "log_retention", "question": "How long are logs kept?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Operational logs and persisted chats are available; a complete audit retention/integrity or eDiscovery system was not verified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "admin_events", "question": "Are admin and security events logged?", "support": "partial", "answer": "Backend logs capture errors/debug activity and can include operational/security actions. A complete immutable admin-event schema was not established.", "evidenceIds": [ "librechat:librechat:logging" ] }, { "id": "content_logging", "question": "Can prompts and answers be retained for compliance, and is it configurable?", "support": "partial", "answer": "Chats are persisted in MongoDB subject to retention settings; external tracing is optional. This is not a verified compliance archive.", "evidenceIds": [ "librechat:librechat:retention", "librechat:librechat:compose-pin" ] }, { "id": "siem_export", "question": "Can logs stream to a SIEM or be exported?", "support": "partial", "answer": "Operators can feed log files to external systems such as ELK. A native managed SIEM stream and integrity guarantee were not verified.", "evidenceIds": [ "librechat:librechat:logging" ] }, { "id": "ediscovery", "question": "Are eDiscovery and legal hold supported?", "support": "unknown", "answer": "ediscovery: Are eDiscovery and legal hold supported? No eDiscovery/legal hold, tamper-evident archive or complete prompt/file/connector event coverage was verified.", "evidenceIds": [] }, { "id": "log_retention", "question": "How long are logs kept?", "support": "partial", "answer": "The logging guide describes 14-day rotation. Rotation is not evidence of an enforced legal retention or deletion guarantee across external sinks.", "evidenceIds": [ "librechat:librechat:logging" ] } ], "limitations": [ "admin_events: Backend logs capture errors/debug activity and can include operational/security actions. A complete immutable admin-event schema was not established.", "content_logging: Chats are persisted in MongoDB subject to retention settings; external tracing is optional. This is not a verified compliance archive.", "siem_export: Operators can feed log files to external systems such as ELK. A native managed SIEM stream and integrity guarantee were not verified.", "ediscovery: Are eDiscovery and legal hold supported? No eDiscovery/legal hold, tamper-evident archive or complete prompt/file/connector event coverage was verified.", "log_retention: The logging guide describes 14-day rotation. Rotation is not evidence of an enforced legal retention or deletion guarantee across external sinks." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:logging", "librechat:librechat:retention", "librechat:librechat:compose-pin" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "API audit events, detailed interaction exports and Single-Tenant security-event streaming are documented. A single authoritative retention period for the customer's audit records is not established.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI platform; Audit Logs, Analytics and Single-Tenant Security Events Export availability and deployment/provider configuration depend on the customer agreement", "addOns": [ "SEE for the contracted Single-Tenant deployment" ], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "admin_events", "question": "Are admin and security events logged?", "support": "supported", "answer": "Event logging covers privileged public/internal API interactions; many self-identity/chat operations are excluded. Basic mode is default; verbose content mode is opt-in.", "evidenceIds": [ "unique-ai:unique-ai:audit" ] }, { "id": "content_logging", "question": "Can prompts and answers be retained for compliance, and is it configurable?", "support": "supported", "answer": "Detailed chat interaction exports contain prompts/answers for authorised admins and respect configured privacy. Verbose event logging can include CID but is discouraged.", "evidenceIds": [ "unique-ai:unique-ai:analytics", "unique-ai:unique-ai:audit" ] }, { "id": "siem_export", "question": "Can logs stream to a SIEM or be exported?", "support": "supported", "answer": "SEE offers Single-Tenant Azure Defender and Activity events via Event Hub to Sentinel/Splunk, seven-day replay. It excludes tenant-level Entra events and is not a prompt-content audit stream.", "evidenceIds": [ "unique-ai:unique-ai:security-export" ] }, { "id": "ediscovery", "question": "Are eDiscovery and legal hold supported?", "support": "unknown", "answer": "No public legal-hold/eDiscovery workflow or complete event-log immutability design was established.", "evidenceIds": [] }, { "id": "log_retention", "question": "How long are logs kept?", "support": "unknown", "answer": "Different sources describe different record scopes. The API event guide gives basic-mode MT events 90 days and ST events five years, including post-termination ST retention. DPA 3.15 says audit logs ten years without mapping its audit-log category to those API events. The generic hosted policy says logging up to one year after termination or longer if legally required. SEE has a separate seven-day Event Hub replay window, not the lifetime of all audit records. No customer agreement or authoritative record-class/precedence mapping was retrieved; the applicable audit retention period is unknown.", "evidenceIds": [] } ], "limitations": [ "API security-event records, detailed prompt/answer interaction exports, SEE replay and generic operational logging are separate sources/data flows. Their public retention figures are not substituted for each other.", "No executed customer retention override or legal-hold/eDiscovery fixture was inspected." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:review2-audit", "unique-ai:unique-ai:analytics", "unique-ai:unique-ai:security-export", "unique-ai:unique-ai:review2-dpa", "unique-ai:unique-ai:review2-retention" ] } ] }, { "id": "ADM-07", "title": "Data loss prevention and personal data", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record detection and handling of personal and confidential data before it reaches a model: redaction, masking, blocking, warning. Record integration with Purview, Netskope or similar, and whether filtering runs locally or at a third party. Send a fixture prompt with a Swiss AHV number and IBAN and record the outcome.", "questions": [ { "id": "pii_detection", "question": "Is personal data detected in prompts and files?" }, { "id": "pii_action", "question": "Is it redacted, masked, blocked or only warned?" }, { "id": "custom_patterns", "question": "Can admins add custom patterns or terms?" }, { "id": "dlp_integration", "question": "Does it integrate with an existing DLP product?" }, { "id": "filter_location", "question": "Where does filtering run?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Optional server-side content filters support configured pattern detection, blocking and auditing, plus narrowly scoped Agent text redaction. External DLP integration and fixture accuracy remain unknown.", "availability": "source-only", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Development source a378657583567310c841d652b0f6b00c83e2bd6b; current Latest (dev) documentation; limited redaction announced in config v1.3.18 on 2026-10-22", "plan": "Customer-operated LibreChat; optional base-YAML content policies, disabled unless configured", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "pii_detection", "question": "Is personal data detected in prompts and files?", "support": "partial", "answer": "Configured source-aware policies can inspect selected prompt fields and file names/extracted text/transcripts. Built-in starter rules match credentials; admins must supply additional personal-data patterns. Opaque files may be allowed by default or explicitly blocked. AHV/IBAN and confidential-file detection accuracy were not tested.", "evidenceIds": [ "librechat:librechat:r4-content-filter", "librechat:librechat:r4-pii-runtime", "librechat:librechat:r4-patterns", "librechat:librechat:r4-private-submission", "librechat:librechat:r4-filter-middleware" ] }, { "id": "pii_action", "question": "Is it redacted, masked, blocked or only warned?", "support": "partial", "answer": "Configured matches can block or audit. Redaction transforms only fresh, text-only interactive Agent submissions carrying clientRequestId and a valid CREDS_KEY; edits, resumes, files, quotes and other endpoints retain blocking checks. Original text is encrypted and unindexed, rather than discarded. No running deployment was tested.", "evidenceIds": [ "librechat:librechat:r4-content-filter", "librechat:librechat:r4-pii-runtime", "librechat:librechat:r4-patterns", "librechat:librechat:r4-private-submission", "librechat:librechat:r4-filter-middleware" ] }, { "id": "custom_patterns", "question": "Can admins add custom patterns or terms?", "support": "supported", "answer": "Operators can add labelled custom RE2JS regular expressions in base librechat.yaml, with optional categories. Database/role/group/user overrides cannot modify the policy; all replicas must load matching configuration. Invalid rules are rejected on configuration load.", "evidenceIds": [ "librechat:librechat:r4-content-filter", "librechat:librechat:r4-patterns", "librechat:librechat:r4-filter-middleware" ] }, { "id": "dlp_integration", "question": "Does it integrate with an existing DLP product?", "support": "unknown", "answer": "No first-party Purview/Netskope or other external DLP connector was established from the content-filter guide, current public repository tree and targeted official-site search. Configurable local patterns are not evidence of an external enterprise DLP integration.", "evidenceIds": [] }, { "id": "filter_location", "question": "Where does filtering run?", "support": "supported", "answer": "Inspected content-filter middleware and rule evaluation run in the customer-operated LibreChat API backend. Optional extraction/OCR and inference providers remain separate data flows; no named deployment region or traffic path was tested.", "evidenceIds": [ "librechat:librechat:r4-pii-runtime", "librechat:librechat:r4-filter-middleware" ] } ], "limitations": [ "Development-source finding; no running instance or AHV/IBAN fixture.", "Filtering is opt-in and limited to configured sources/fields. Default patterns cover credential shapes, not every PII class.", "Redaction applies only to eligible fresh Agent text; encrypted originals remain stored.", "A dedicated external DLP integration remains unverified." ], "checkedAt": "2026-10-26", "crossCheckedAt": "2026-10-26", "nextCheckAt": "2026-12-25", "evidenceIds": [ "librechat:librechat:r4-content-filter", "librechat:librechat:r4-pii-runtime", "librechat:librechat:r4-patterns", "librechat:librechat:r4-private-submission", "librechat:librechat:r4-filter-middleware", "librechat:librechat:r4-config-1318" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "DLP is primarily customer infrastructure and integration; it is not a verified default native redaction feature.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "pii_detection", "question": "Is personal data detected in prompts and files?", "support": "unknown", "answer": "Is personal data detected in prompts and files? Unknown. Default prompt/file PII detection, specific redaction/block behaviour, custom patterns, supported Purview/Netskope policies and native AHV/IBAN handling were not established or tested. Data redaction docs concern retention, not PII masking.", "evidenceIds": [] }, { "id": "pii_action", "question": "Is it redacted, masked, blocked or only warned?", "support": "unknown", "answer": "Is it redacted, masked, blocked or only warned? Unknown. Default prompt/file PII detection, specific redaction/block behaviour, custom patterns, supported Purview/Netskope policies and native AHV/IBAN handling were not established or tested. Data redaction docs concern retention, not PII masking.", "evidenceIds": [] }, { "id": "custom_patterns", "question": "Can admins add custom patterns or terms?", "support": "unknown", "answer": "Can admins add custom patterns or terms? Unknown. Default prompt/file PII detection, specific redaction/block behaviour, custom patterns, supported Purview/Netskope policies and native AHV/IBAN handling were not established or tested. Data redaction docs concern retention, not PII masking.", "evidenceIds": [] }, { "id": "dlp_integration", "question": "Does it integrate with an existing DLP product?", "support": "partial", "answer": "Documents customer HTTPS proxy/interceptor DLP and post-chat Analytics API scanning; Compliance Layer says pre-LLM calls can be implemented. Multi-Tenant matrix explicitly excludes DLP integration.", "evidenceIds": [ "unique-ai:unique-ai:dlp", "unique-ai:unique-ai:compliance" ] }, { "id": "filter_location", "question": "Where does filtering run?", "support": "partial", "answer": "Proxy inspection runs in customer egress infrastructure; Analytics API supports customer post-chat inspection. A deployment-specific pre-LLM service may be implemented.", "evidenceIds": [ "unique-ai:unique-ai:dlp", "unique-ai:unique-ai:compliance" ] } ], "limitations": [ "Default prompt/file PII detection, specific redaction/block behaviour, custom patterns, supported Purview/Netskope policies and native AHV/IBAN handling were not established or tested. Data redaction docs concern retention, not PII masking." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:dlp", "unique-ai:unique-ai:compliance" ] } ] }, { "id": "ADM-08", "title": "AI policy and guardrails", "group": { "id": 5, "name": "Administration and governance" }, "judgment": "Record organisation-wide system instructions, acceptable-use notices and acknowledgement, content filters, topic restrictions, AI-output labelling, and admin visibility of policy violations. Separate enforced policy from instructions the model is expected to follow.", "questions": [ { "id": "org_instructions", "question": "Can admins set organisation-wide instructions?" }, { "id": "usage_notice", "question": "Can users be required to accept a usage policy?" }, { "id": "content_filters", "question": "Are content filters configurable?" }, { "id": "violation_reporting", "question": "Are policy hits visible to admins?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:ADM-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Operators can configure prompts and usage terms; abuse moderation is distinct from semantic content-policy enforcement.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "org_instructions", "question": "Can admins set organisation-wide instructions?", "support": "partial", "answer": "Enforced model-spec presets and Agent instructions can guide behavior; model-followed instructions are not guaranteed policy enforcement.", "evidenceIds": [ "librechat:librechat:modelspec", "librechat:librechat:agents" ] }, { "id": "usage_notice", "question": "Can users be required to accept a usage policy?", "support": "supported", "answer": "Interface configuration includes custom terms of service and acceptance settings.", "evidenceIds": [ "librechat:librechat:interface" ] }, { "id": "content_filters", "question": "Are content filters configurable?", "support": "partial", "answer": "Automated moderation scores rate/authentication/message abuse and can ban users. Semantic topic or PII policy coverage was not established.", "evidenceIds": [ "librechat:librechat:mod" ] }, { "id": "violation_reporting", "question": "Are policy hits visible to admins?", "support": "partial", "answer": "Abuse scoring is documented, but a complete organization content-policy violation dashboard and reporting fixture were not established.", "evidenceIds": [ "librechat:librechat:mod" ] } ], "limitations": [ "org_instructions: Enforced model-spec presets and Agent instructions can guide behavior; model-followed instructions are not guaranteed policy enforcement.", "content_filters: Automated moderation scores rate/authentication/message abuse and can ban users. Semantic topic or PII policy coverage was not established.", "violation_reporting: Abuse scoring is documented, but a complete organization content-policy violation dashboard and reporting fixture were not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:modelspec", "librechat:librechat:agents", "librechat:librechat:interface", "librechat:librechat:mod" ] }, { "productId": "unique-ai", "claimId": "unique-ai:ADM-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Space instructions/banners and customer-specific login terms are documented.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "org_instructions", "question": "Can admins set organisation-wide instructions?", "support": "partial", "answer": "Admins set Space-level system instructions and persistent banners. A mandatory organisation-wide instruction hierarchy is not specified.", "evidenceIds": [ "unique-ai:unique-ai:agent" ] }, { "id": "usage_notice", "question": "Can users be required to accept a usage policy?", "support": "supported", "answer": "First login requires terms acceptance; custom terms/editing/deactivation depend on MSA eligibility and admin GraphQL role. Acceptance/version data can be exported.", "evidenceIds": [ "unique-ai:unique-ai:policy" ] }, { "id": "content_filters", "question": "Are content filters configurable?", "support": "partial", "answer": "Single-tenant Azure prompts pass through Azure content filters; Compliance matrix marks hosted modes with content filtering. Customer filter configuration and scope remain unspecified.", "evidenceIds": [ "unique-ai:unique-ai:single", "unique-ai:unique-ai:compliance" ] }, { "id": "violation_reporting", "question": "Are policy hits visible to admins?", "support": "unknown", "answer": "Are policy hits visible to admins? Unknown. Org-wide instruction enforcement, customer content-filter policy controls and administrator violation reports are not established. Prompt guidance is not guaranteed enforcement.", "evidenceIds": [] } ], "limitations": [ "Org-wide instruction enforcement, customer content-filter policy controls and administrator violation reports are not established. Prompt guidance is not guaranteed enforcement." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:agent", "unique-ai:unique-ai:policy", "unique-ai:unique-ai:single", "unique-ai:unique-ai:compliance" ] } ] }, { "id": "DATA-01", "title": "Hosting location and data residency", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record country or region separately for chat storage, files and indexes, model inference, backups, logs and telemetry, and support access. Name the cloud provider. Record whether residency is default, a paid option or plan-dependent. \"EU data boundary\" programmes are recorded with their documented exceptions.", "questions": [ { "id": "storage_region", "question": "Where are chats, files and indexes stored?" }, { "id": "inference_region", "question": "Where do model calls run, per provider?" }, { "id": "backups_logs_region", "question": "Where are backups, logs and telemetry?" }, { "id": "support_access_region", "question": "From where can vendor staff access data?" }, { "id": "swiss_hosting", "question": "Is Swiss hosting available?" }, { "id": "residency_plan", "question": "Which plan or option provides residency?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Customer operators choose storage and service locations; external model, OCR, search and code services need separate residency decisions.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "storage_region", "question": "Where are chats, files and indexes stored?", "support": "supported", "answer": "The reference self-hosted stack keeps application data in configured MongoDB/files and retrieval data in PGVector. Its country is chosen by the deployer.", "evidenceIds": [ "librechat:librechat:compose-pin", "librechat:librechat:remote" ] }, { "id": "inference_region", "question": "Where do model calls run, per provider?", "support": "supported", "answer": "Customer-selected cloud endpoints/regions or local endpoints determine inference; hosting LibreChat in Switzerland does not place every external model there.", "evidenceIds": [ "librechat:librechat:custom", "librechat:librechat:bedrock", "librechat:librechat:vertex" ] }, { "id": "backups_logs_region", "question": "Where are backups, logs and telemetry?", "support": "partial", "answer": "Logs and mounted data reside in the configured deployment; backup, telemetry and optional tracing geographies depend on operator choices and were not audited.", "evidenceIds": [ "librechat:librechat:logging", "librechat:librechat:compose-pin" ] }, { "id": "support_access_region", "question": "From where can vendor staff access data?", "support": "unknown", "answer": "support_access_region: From where can vendor staff access data? No vendor or integrator support-access country restriction was reviewed for this customer-operated deployment.", "evidenceIds": [] }, { "id": "swiss_hosting", "question": "Is Swiss hosting available?", "support": "partial", "answer": "A customer may run the software on Swiss infrastructure; no bundled Swiss managed inference/support commitment was established.", "evidenceIds": [ "librechat:librechat:remote", "librechat:librechat:license" ] }, { "id": "residency_plan", "question": "Which plan or option provides residency?", "support": "supported", "answer": "Customer-controlled placement is a self-hosted deployment property, not a separately priced residency licence.", "evidenceIds": [ "librechat:librechat:remote", "librechat:librechat:license" ] } ], "limitations": [ "backups_logs_region: Logs and mounted data reside in the configured deployment; backup, telemetry and optional tracing geographies depend on operator choices and were not audited.", "support_access_region: From where can vendor staff access data? No vendor or integrator support-access country restriction was reviewed for this customer-operated deployment.", "swiss_hosting: A customer may run the software on Swiss infrastructure; no bundled Swiss managed inference/support commitment was established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:compose-pin", "librechat:librechat:remote", "librechat:librechat:custom", "librechat:librechat:bedrock", "librechat:librechat:vertex", "librechat:librechat:logging", "librechat:librechat:license" ] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Documentation offers CH North multitenant hosting and selectable single/customer-hosted regions, with model processing configured separately. The customer's binding residency schedule and full backup/log/support map remain unknown.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI platform; hosted or customer-hosted platform; separately selected model/tool routes availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "Documented options: CH North hosted MT; selected ST/customer region; provider/SKU/tool inference region separately configured; actual contracted boundaries unverified", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "storage_region", "question": "Where are chats, files and indexes stored?", "support": "partial", "answer": "The deployment matrix documents Azure Switzerland North for hosted multitenant and chosen supported regions for Single Tenant. Tenant storage includes PostgreSQL, documents and vector data. These are configuration options; no customer-specific storage schedule was inspected.", "evidenceIds": [ "unique-ai:unique-ai:review2-compliance", "unique-ai:unique-ai:review2-keys" ] }, { "id": "inference_region", "question": "Where do model calls run, per provider?", "support": "partial", "answer": "The model catalogue separates Azure regional/Data Zone/Global SKUs and external provider routes, with some Swiss deployments and some global-only services. Actual selected provider/SKU/tool routing must be configured for the contracted deployment. CH storage is not a verified CH inference guarantee.", "evidenceIds": [ "unique-ai:unique-ai:review2-models", "unique-ai:unique-ai:deepresearch" ] }, { "id": "backups_logs_region", "question": "Where are backups, logs and telemetry?", "support": "partial", "answer": "Single-tenant backup resources follow the configured landing-zone design and SEE sends events to a separately selected consumer region. An exhaustive physical replica/backup/log/telemetry country matrix was not retrieved.", "evidenceIds": [ "unique-ai:unique-ai:review2-single", "unique-ai:unique-ai:security-export" ] }, { "id": "support_access_region", "question": "From where can vendor staff access data?", "support": "unknown", "answer": "The public DPA gives need-to-know access controls and customer-controlled on-premises support, but not an exhaustive physical country list for vendor/subprocessor support access. Office addresses are not used as support-access locations.", "evidenceIds": [] }, { "id": "swiss_hosting", "question": "Is Swiss hosting available?", "support": "partial", "answer": "CH North is a documented hosted-MT option, and selected-region ST can be Swiss. This records available deployment options, not the customer's end-to-end storage/inference/support contract.", "evidenceIds": [ "unique-ai:unique-ai:review2-compliance", "unique-ai:unique-ai:review2-models" ] }, { "id": "residency_plan", "question": "Which plan or option provides residency?", "support": "unknown", "answer": "DPA 6.1 says storage stays in Switzerland, while its Appendix A allows a client-chosen Microsoft location and current platform docs offer selected jurisdictions. No current customer MSA, precedence clause or deployment schedule was inspected to resolve the binding scope. A contractual CH-wide residency commitment is not asserted.", "evidenceIds": [] } ], "limitations": [ "Available architecture/region options are not a signed residency schedule. Storage, model inference, backups/logs, support access and external tools must be scoped separately.", "DPA CH-storage and chosen-location statements are not reconciled by silently treating one as the current customer contract." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:review2-compliance", "unique-ai:unique-ai:review2-models", "unique-ai:unique-ai:review2-keys", "unique-ai:unique-ai:review2-single", "unique-ai:unique-ai:review2-dpa", "unique-ai:unique-ai:security-export", "unique-ai:unique-ai:deepresearch" ] } ] }, { "id": "DATA-02", "title": "Deployment options", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record multi-tenant SaaS, dedicated single-tenant instance, deployment in the customer's cloud account, on-premise and air-gapped as separate options with plan and availability. Record which features are missing in each mode, who operates it, and the documented seat or contract threshold for each mode, which can differ from the enterprise plan threshold (e.g. dedicated SaaS from 2,000 seats, own cloud from 5,000). A local-network connector or gateway that reaches on-prem data from a vendor-hosted platform is KNOW-03, not on-premise deployment.", "questions": [ { "id": "multi_tenant_saas", "question": "Is a shared SaaS offered?" }, { "id": "dedicated_instance", "question": "Is a dedicated single-tenant instance offered, from what size?" }, { "id": "customer_cloud", "question": "Can it run in the customer's own cloud account, from what size?" }, { "id": "on_premise", "question": "Can the whole platform run on customer infrastructure, from what size?" }, { "id": "air_gapped", "question": "Can it run without internet access?" }, { "id": "mode_feature_gaps", "question": "Which features are missing outside SaaS?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The project documents local and customer-cloud installs. A free public demo is separate from a production managed service.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web", "public-demo" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" }, { "id": "public-demo", "name": "LibreChat public evaluation demo", "type": "hosted-demo" } ] }, "questions": [ { "id": "multi_tenant_saas", "question": "Is a shared SaaS offered?", "support": "partial", "answer": "The project operates a free public evaluation Demo, not a reviewed production business SaaS offer. Its terms permit data cleanups and disclaim persistence.", "evidenceIds": [ "librechat:librechat:demo", "librechat:librechat:firstchat" ] }, { "id": "dedicated_instance", "question": "Is a dedicated single-tenant instance offered, from what size?", "support": "unknown", "answer": "dedicated_instance: Is a dedicated single-tenant instance offered, from what size? A vendor-operated dedicated production service and its contractual size floor were not established.", "evidenceIds": [] }, { "id": "customer_cloud", "question": "Can it run in the customer's own cloud account, from what size?", "support": "supported", "answer": "Remote hosting documentation describes customer-selected servers/cloud hosting without a software seat minimum.", "evidenceIds": [ "librechat:librechat:remote", "librechat:librechat:license" ] }, { "id": "on_premise", "question": "Can the whole platform run on customer infrastructure, from what size?", "support": "supported", "answer": "Docker/npm installation can run the application and dependencies on customer infrastructure.", "evidenceIds": [ "librechat:librechat:local", "librechat:librechat:compose-pin" ] }, { "id": "air_gapped", "question": "Can it run without internet access?", "support": "partial", "answer": "Local chat/embedding routes exist, but a complete disconnected installation and its full dependency behavior were not verified.", "evidenceIds": [ "librechat:librechat:custom", "librechat:librechat:ragcfg" ] }, { "id": "mode_feature_gaps", "question": "Which features are missing outside SaaS?", "support": "partial", "answer": "External APIs, OCR/search services and separate code runtimes need their own availability/networking; there is no verified SaaS/on-prem feature-parity matrix.", "evidenceIds": [ "librechat:librechat:ocr", "librechat:librechat:web", "librechat:librechat:code" ] } ], "limitations": [ "multi_tenant_saas: The project operates a free public evaluation Demo, not a reviewed production business SaaS offer. Its terms permit data cleanups and disclaim persistence.", "dedicated_instance: Is a dedicated single-tenant instance offered, from what size? A vendor-operated dedicated production service and its contractual size floor were not established.", "air_gapped: Local chat/embedding routes exist, but a complete disconnected installation and its full dependency behavior were not verified.", "mode_feature_gaps: External APIs, OCR/search services and separate code runtimes need their own availability/networking; there is no verified SaaS/on-prem feature-parity matrix." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:demo", "librechat:librechat:firstchat", "librechat:librechat:remote", "librechat:librechat:license", "librechat:librechat:local", "librechat:librechat:compose-pin", "librechat:librechat:custom", "librechat:librechat:ragcfg", "librechat:librechat:ocr", "librechat:librechat:web", "librechat:librechat:code" ] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Current docs offer shared SaaS, dedicated instances, customer cloud and customer-operated on-premise/air-gapped modes.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "multi_tenant_saas", "question": "Is a shared SaaS offered?", "support": "supported", "answer": "Installation overview lists Multi Tenant on Unique cloud.", "evidenceIds": [ "unique-ai:unique-ai:install" ] }, { "id": "dedicated_instance", "question": "Is a dedicated single-tenant instance offered, from what size?", "support": "partial", "answer": "Unique-managed Single Tenant has its own Azure landing zone separated from other customers. Minimum seats/contract value are unpublished.", "evidenceIds": [ "unique-ai:unique-ai:single" ] }, { "id": "customer_cloud", "question": "Can it run in the customer's own cloud account, from what size?", "support": "partial", "answer": "Operator guide documents deployment in customer cloud account with Unique software/support; cloud-specific rollout is contracted.", "evidenceIds": [ "unique-ai:unique-ai:operators" ] }, { "id": "on_premise", "question": "Can the whole platform run on customer infrastructure, from what size?", "support": "partial", "answer": "Customer provisions/manages infrastructure on own premises, may run own models and can exclude Unique access. Minimum commitment not published.", "evidenceIds": [ "unique-ai:unique-ai:onpremsecurity" ] }, { "id": "air_gapped", "question": "Can it run without internet access?", "support": "partial", "answer": "IT-operator overview explicitly offers a full air-gapped on-premise deployment. Compatibility and feature limitations depend on customer setup.", "evidenceIds": [ "unique-ai:unique-ai:operators", "unique-ai:unique-ai:onpremsecurity" ] }, { "id": "mode_feature_gaps", "question": "Which features are missing outside SaaS?", "support": "partial", "answer": "Compliance matrix separates SSO/content filter/DLP/PAM/key capabilities by mode. Azure Chat Code Execution/voice and external web/providers require those services and cannot be assumed in an isolated environment.", "evidenceIds": [ "unique-ai:unique-ai:compliance", "unique-ai:unique-ai:code", "unique-ai:unique-ai:voice" ] } ], "limitations": [ "No deployed tenant was inspected. Seat/contract thresholds and an exhaustive offline feature-parity matrix remain unknown; docs establish an option, not universal entitlement." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:install", "unique-ai:unique-ai:single", "unique-ai:unique-ai:operators", "unique-ai:unique-ai:onpremsecurity", "unique-ai:unique-ai:compliance", "unique-ai:unique-ai:code", "unique-ai:unique-ai:voice" ] } ] }, { "id": "DATA-03", "title": "Training use and provider retention", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record whether customer content trains vendor or provider models, by plan and default; zero-data-retention arrangements with model providers; abuse-monitoring retention and human review; and the model provider's terms that apply. A \"no training\" claim on a marketing page is `vendor-claimed` until the contract or DPA says so.", "questions": [ { "id": "vendor_training", "question": "Does the vendor train on customer content?" }, { "id": "provider_training", "question": "Do model providers train on it under this product's contracts?" }, { "id": "provider_retention", "question": "How long do model providers keep prompts, including for abuse monitoring?" }, { "id": "zero_retention", "question": "Is zero data retention available, and on which plan?" }, { "id": "human_review", "question": "Can provider staff review content?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The customer configures model contracts and data paths; a universal no-training or provider-retention promise was not established.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "vendor_training", "question": "Does the vendor train on customer content?", "support": "partial", "answer": "The self-hosted application stores data in the customer’s configured stack; this architecture is not a contractual promise covering every optional external service.", "evidenceIds": [ "librechat:librechat:compose-pin", "librechat:librechat:firstchat" ] }, { "id": "provider_training", "question": "Do model providers train on it under this product's contracts?", "support": "unknown", "answer": "provider_training: Do model providers train on it under this product's contracts? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers.", "evidenceIds": [] }, { "id": "provider_retention", "question": "How long do model providers keep prompts, including for abuse monitoring?", "support": "unknown", "answer": "provider_retention: How long do model providers keep prompts, including for abuse monitoring? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers.", "evidenceIds": [] }, { "id": "zero_retention", "question": "Is zero data retention available, and on which plan?", "support": "unknown", "answer": "zero_retention: Is zero data retention available, and on which plan? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers.", "evidenceIds": [] }, { "id": "human_review", "question": "Can provider staff review content?", "support": "unknown", "answer": "human_review: Can provider staff review content? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers.", "evidenceIds": [] } ], "limitations": [ "vendor_training: The self-hosted application stores data in the customer’s configured stack; this architecture is not a contractual promise covering every optional external service.", "provider_training: Do model providers train on it under this product's contracts? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers.", "provider_retention: How long do model providers keep prompts, including for abuse monitoring? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers.", "zero_retention: Is zero data retention available, and on which plan? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers.", "human_review: Can provider staff review content? No specific customer provider agreement, abuse retention/human-review period or zero-retention entitlement was reviewed. Website and Demo privacy policies do not govern arbitrary self-hosted providers." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:compose-pin", "librechat:librechat:firstchat" ] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Hosted Azure documentation says no model training and disabled Microsoft prompt storage/human review; other provider routes require separate terms.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "vendor_training", "question": "Does the vendor train on customer content?", "support": "supported", "answer": "Hosted retention policy says no customer data is used for AI/neural-network training. Public terms allow service development and anonymised metadata use; that is not a blanket prohibition of all secondary processing.", "evidenceIds": [ "unique-ai:unique-ai:retention", "unique-ai:unique-ai:terms" ] }, { "id": "provider_training", "question": "Do model providers train on it under this product's contracts?", "support": "partial", "answer": "Hosted Azure deployment is separate from public OpenAI and training is excluded. Other catalogue providers/direct OpenAI research need their applicable customer terms.", "evidenceIds": [ "unique-ai:unique-ai:retention", "unique-ai:unique-ai:models", "unique-ai:unique-ai:deepresearch" ] }, { "id": "provider_retention", "question": "How long do model providers keep prompts, including for abuse monitoring?", "support": "supported", "answer": "For hosted Azure OpenAI, documents/prompts/answers process in memory only, with logging/human-review opt-out. Ordinary application chats persist in Unique databases.", "evidenceIds": [ "unique-ai:unique-ai:retention" ] }, { "id": "zero_retention", "question": "Is zero data retention available, and on which plan?", "support": "partial", "answer": "Hosted Azure model calls use no provider content storage per opt-out; this is not zero retention of Unique application history, logs or other provider routes.", "evidenceIds": [ "unique-ai:unique-ai:retention" ] }, { "id": "human_review", "question": "Can provider staff review content?", "support": "partial", "answer": "Hosted Azure guide says Microsoft prompt/response human review is disabled. Vendor staff need-to-know access and alternate model-provider review conditions are separate.", "evidenceIds": [ "unique-ai:unique-ai:retention", "unique-ai:unique-ai:dpa" ] } ], "limitations": [ "No signed Azure amendment was inspected. Retention and review conditions for Anthropic, Gemini, Together, xAI and direct OpenAI research remain unverified; do not generalise the Azure-only policy." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:retention", "unique-ai:unique-ai:terms", "unique-ai:unique-ai:models", "unique-ai:unique-ai:deepresearch", "unique-ai:unique-ai:dpa" ] } ] }, { "id": "DATA-04", "title": "Retention and deletion", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record default retention for chats, files, indexes and logs; admin-configured retention; user deletion; deletion after contract end; and deletion confirmation.", "questions": [ { "id": "default_retention", "question": "What is retained and for how long by default?" }, { "id": "admin_retention", "question": "Can admins set retention periods?" }, { "id": "user_deletion", "question": "Can users delete their chats and files permanently?" }, { "id": "contract_end_deletion", "question": "What is deleted at contract end, and when?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Normal chats have no default expiry; temporary chats default to 30 days and admins can configure broader expiry modes.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "default_retention", "question": "What is retained and for how long by default?", "support": "supported", "answer": "The default temporary retention is 720 hours; normal chats persist unless configured under all/ephemeral modes. Memories do not expire with chats.", "evidenceIds": [ "librechat:librechat:retention" ] }, { "id": "admin_retention", "question": "Can admins set retention periods?", "support": "supported", "answer": "Admins set all or ephemeral retention, regular/temporary deadlines and Agent file retention. New settings apply on later saves rather than rewriting every existing record immediately.", "evidenceIds": [ "librechat:librechat:retention" ] }, { "id": "user_deletion", "question": "Can users delete their chats and files permanently?", "support": "partial", "answer": "Users can delete conversations/data and retention sweeps remove files. Copies, backups and external provider deletion were not end-to-end verified.", "evidenceIds": [ "librechat:librechat:retention", "librechat:librechat:settings" ] }, { "id": "contract_end_deletion", "question": "What is deleted at contract end, and when?", "support": "unknown", "answer": "contract_end_deletion: What is deleted at contract end, and when? No commercial contract-end purge/confirmation deadline was reviewed; the Demo’s retention terms are a separate offer.", "evidenceIds": [] } ], "limitations": [ "user_deletion: Users can delete conversations/data and retention sweeps remove files. Copies, backups and external provider deletion were not end-to-end verified.", "contract_end_deletion: What is deleted at contract end, and when? No commercial contract-end purge/confirmation deadline was reviewed; the Demo’s retention terms are a separate offer." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:retention", "librechat:librechat:settings" ] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Chat content clearing, chat uploads, KB documents, contract-end content deletion, recoverable files, backups and audit records have separate policies. No common purge deadline is established for all copies.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI platform; Chat, Knowledge Base and hosted retention configuration; customer-hosted policy separately controlled availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "Contracted storage/provider region; hosted-policy timings not extended to every customer-hosted system", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "default_retention", "question": "What is retained and for how long by default?", "support": "partial", "answer": "The chat-upload guide describes an admin-configured expiry, typically two weeks, for chat uploads. Hosted policy lists no minimum for KB/blob/vector/database content. Neither figure defines audit-event retention or proves a tenant's configured default.", "evidenceIds": [ "unique-ai:unique-ai:files", "unique-ai:unique-ai:review2-retention" ] }, { "id": "admin_retention", "question": "Can admins set retention periods?", "support": "supported", "answer": "DATA_RETENTION_IN_DAYS drives the daily midnight chat-content clearing job; unset/zero disables it. This clears the content categories named by the redaction guide, not all uploads, KB, external tool records or audit events.", "evidenceIds": [ "unique-ai:unique-ai:redaction" ] }, { "id": "user_deletion", "question": "Can users delete their chats and files permanently?", "support": "partial", "answer": "The redaction guide says deleting a chat removes its Unique chat-content copy and marks the chat record deleted. Separate upload, KB, external-tool, soft-delete, backup and audit policies are not collapsed into that action.", "evidenceIds": [ "unique-ai:unique-ai:redaction" ] }, { "id": "contract_end_deletion", "question": "What is deleted at contract end, and when?", "support": "partial", "answer": "For Unique-hosted ordinary content, the published policy states a standard 30-day post-termination period unless the customer contract differs. It separately describes recoverable files for 30 days after deletion and database backups for two further weeks. DPA 6.1 requires return/deletion subject to legal record-keeping. Audit-log classes and their contractual lifetime remain unknown under ADM-06; this is not a deadline for deletion of every copy.", "evidenceIds": [ "unique-ai:unique-ai:review2-retention", "unique-ai:unique-ai:review2-dpa" ] } ], "limitations": [ "Hosted content policy expressly permits contract-specific variation. Its timings do not define API/DPA audit-record retention.", "No tenant configuration, customer MSA, final backup purge or external-provider deletion fixture was inspected." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:files", "unique-ai:unique-ai:redaction", "unique-ai:unique-ai:review2-retention", "unique-ai:unique-ai:review2-dpa" ] } ] }, { "id": "DATA-05", "title": "Sub-processors and foreign-law exposure", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record the published sub-processor list with countries, change-notification rules, the vendor's and parent company's jurisdiction, transfer mechanisms (EU-US Data Privacy Framework, Swiss-US DPF, SCCs) and the vendor's documented position on foreign government access requests (e.g. US CLOUD Act). Record facts, not a legal assessment.", "questions": [ { "id": "subprocessor_list", "question": "Is a dated sub-processor list published?" }, { "id": "subprocessor_countries", "question": "Which countries do sub-processors operate in?" }, { "id": "change_notification", "question": "Are customers notified of sub-processor changes?" }, { "id": "parent_jurisdiction", "question": "Which jurisdiction governs the vendor and its parent?" }, { "id": "transfer_mechanism", "question": "Which transfer mechanism applies to non-EU/CH processing?" }, { "id": "government_access_policy", "question": "Is there a published government-access or transparency policy?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "ClickHouse’s acquisition is sourced; the self-hosted deployment still selects its own external processors and contracts.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "subprocessor_list", "question": "Is a dated sub-processor list published?", "support": "unknown", "answer": "subprocessor_list: Is a dated sub-processor list published? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "evidenceIds": [] }, { "id": "subprocessor_countries", "question": "Which countries do sub-processors operate in?", "support": "unknown", "answer": "subprocessor_countries: Which countries do sub-processors operate in? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "evidenceIds": [] }, { "id": "change_notification", "question": "Are customers notified of sub-processor changes?", "support": "unknown", "answer": "change_notification: Are customers notified of sub-processor changes? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "evidenceIds": [] }, { "id": "parent_jurisdiction", "question": "Which jurisdiction governs the vendor and its parent?", "support": "partial", "answer": "ClickHouse, Inc. announced the LibreChat acquisition on 2025-11-04 from San Francisco and brought founder/team into ClickHouse. A self-hosted customer contracting entity/governing jurisdiction was not established from that announcement.", "evidenceIds": [ "librechat:librechat:owner" ] }, { "id": "transfer_mechanism", "question": "Which transfer mechanism applies to non-EU/CH processing?", "support": "unknown", "answer": "transfer_mechanism: Which transfer mechanism applies to non-EU/CH processing? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "evidenceIds": [] }, { "id": "government_access_policy", "question": "Is there a published government-access or transparency policy?", "support": "unknown", "answer": "government_access_policy: Is there a published government-access or transparency policy? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "evidenceIds": [] } ], "limitations": [ "subprocessor_list: Is a dated sub-processor list published? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "subprocessor_countries: Which countries do sub-processors operate in? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "change_notification: Are customers notified of sub-processor changes? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "parent_jurisdiction: ClickHouse, Inc. announced the LibreChat acquisition on 2025-11-04 from San Francisco and brought founder/team into ClickHouse. A self-hosted customer contracting entity/governing jurisdiction was not established from that announcement.", "transfer_mechanism: Which transfer mechanism applies to non-EU/CH processing? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes.", "government_access_policy: Is there a published government-access or transparency policy? No project-wide dated sub-processor/country list, change-notification schedule, transfer instrument or government-access policy was established for arbitrary customer-operated deployments. Website/Demo policies are separate scopes." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:owner" ] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The dated public DPA lists Microsoft, but a complete applicable current subprocessor/country schedule for all contracted model/tool routes was not retrieved. A technical provider catalogue is not substituted for that legal schedule.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI platform; current platform infrastructure and enabled model/tool integrations availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "Actual customer provider/country/transfer schedule unverified", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "subprocessor_list", "question": "Is a dated sub-processor list published?", "support": "unknown", "answer": "The July 2025 public DPA Appendix A lists Microsoft for infrastructure, Cognitive/Azure OpenAI and email. The current technical catalogue offers other provider/tool routes, which may have different contractual roles. No applicable complete current legal schedule or executed customer supplement was retrieved; the Microsoft-only list is not presented as complete.", "evidenceIds": [] }, { "id": "subprocessor_countries", "question": "Which countries do sub-processors operate in?", "support": "unknown", "answer": "DPA Appendix A names CH or a client-chosen Microsoft location; technical model routes separately include regional and global processing. A complete current legal provider/country and support-access schedule for the chosen deployment was not retrieved.", "evidenceIds": [] }, { "id": "change_notification", "question": "Are customers notified of sub-processor changes?", "support": "unknown", "answer": "No applicable current processor-change notification/objection clause for the customer's full provider schedule was retrieved from the DPA or current contract-access documentation.", "evidenceIds": [] }, { "id": "parent_jurisdiction", "question": "Which jurisdiction governs the vendor and its parent?", "support": "partial", "answer": "The current contact page identifies Unique AI AG in Switzerland and regional entities. The public DPA uses Unique AG. Ultimate parent/beneficial-owner jurisdiction and a customer-specific contracting entity were not independently established.", "evidenceIds": [ "unique-ai:unique-ai:contact", "unique-ai:unique-ai:review2-dpa" ] }, { "id": "transfer_mechanism", "question": "Which transfer mechanism applies to non-EU/CH processing?", "support": "unknown", "answer": "No complete customer-content transfer-instrument mapping per non-CH/EU provider was retrieved. The website visitor privacy policy is not substituted for customer-content terms.", "evidenceIds": [] }, { "id": "government_access_policy", "question": "Is there a published government-access or transparency policy?", "support": "unknown", "answer": "No current customer-content government-request/transparency policy was retrieved for the complete contracted provider chain. General banking/DPA assurances do not establish such a policy.", "evidenceIds": [] } ], "limitations": [ "The provider catalogue establishes technical choices, not each party's processor role or the legal schedule for a customer contract.", "No sales contact, executed current MSA or nonpublic schedule was obtained." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:review2-dpa", "unique-ai:unique-ai:review2-models", "unique-ai:unique-ai:review2-governance", "unique-ai:unique-ai:contact" ] } ] }, { "id": "DATA-06", "title": "Contracts and regulatory coverage", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record DPA availability and form (click-through, negotiable), reference to Swiss revDSG and GDPR, governing law and court, EU AI Act documentation (provider or deployer role, transparency materials), and sector-specific materials (FINMA outsourcing, banking secrecy, public sector). No compliance verdict.", "questions": [ { "id": "dpa", "question": "Is a DPA available, and is it negotiable?" }, { "id": "revdsg_gdpr", "question": "Does the DPA cover revDSG and GDPR?" }, { "id": "governing_law", "question": "Which law and court govern the contract?" }, { "id": "ai_act_materials", "question": "Is EU AI Act documentation provided?" }, { "id": "sector_materials", "question": "Are FINMA or other sector materials provided?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-06", "verificationStatus": "not-published", "support": "not-published", "answer": "We found no public information on this. A missing finding is not evidence that the product lacks the capability.", "availability": null, "delivery": null, "scope": null, "questions": [], "limitations": [], "checkedAt": null, "crossCheckedAt": null, "nextCheckAt": null, "evidenceIds": [] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "A public DPA and finance-specific compliance material are available; actual contractual amendments were not inspected.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "dpa", "question": "Is a DPA available, and is it negotiable?", "support": "partial", "answer": "DPA accepts click-through/use or signature and defines Unique as processor for hosted MT/ST. Negotiability is not specified.", "evidenceIds": [ "unique-ai:unique-ai:dpa" ] }, { "id": "revdsg_gdpr", "question": "Does the DPA cover revDSG and GDPR?", "support": "partial", "answer": "DPA addresses GDPR, Swiss FDPIC oversight and MSA-defined laws; Compliance Layer identifies nFDAP/Swiss M329 amendment. Exact signed revDSG/GDPR scope requires MSA.", "evidenceIds": [ "unique-ai:unique-ai:dpa", "unique-ai:unique-ai:compliance" ] }, { "id": "governing_law", "question": "Which law and court govern the contract?", "support": "supported", "answer": "DPA 7 specifies Swiss substantive law and Zürich 1 courts unless mandatory GDPR/MSA otherwise. Public ToS similarly names Swiss law.", "evidenceIds": [ "unique-ai:unique-ai:dpa", "unique-ai:unique-ai:terms" ] }, { "id": "ai_act_materials", "question": "Is EU AI Act documentation provided?", "support": "partial", "answer": "Trust centre describes per-use-case conformity assessments; ISO42001 and AI governance material are public. A complete provider/deployer AI Act technical file is not established.", "evidenceIds": [ "unique-ai:unique-ai:trust", "unique-ai:unique-ai:compliance" ] }, { "id": "sector_materials", "question": "Are FINMA or other sector materials provided?", "support": "partial", "answer": "Compliance Layer names Microsoft M453 FINMA audit-rights amendment, M744 professional/banking secrecy and M329 CH-DPA for Unique-hosted deployments. Actual annexes and current signed scope are not public.", "evidenceIds": [ "unique-ai:unique-ai:compliance" ] } ], "limitations": [ "DPA negotiability and signed sector amendments, product-specific EU AI Act roles and exact sector assurance scope remain unverified. This records materials, not a compliance verdict." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:dpa", "unique-ai:unique-ai:compliance", "unique-ai:unique-ai:terms", "unique-ai:unique-ai:trust" ] } ] }, { "id": "DATA-07", "title": "Certifications and attestations", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record each certificate or report separately: ISO 27001, 27017, 27018, 27701, 42001; SOC 2 Type I/II with period; BSI C5; TISAX; national schemes. Record issuer, scope (which product and entity), validity and access route. A cloud provider's certificate does not certify the product.", "questions": [ { "id": "iso_27001", "question": "ISO 27001 with scope and validity?" }, { "id": "soc2", "question": "SOC 2 type, period and covered service?" }, { "id": "c5", "question": "BSI C5 attestation?" }, { "id": "other_certifications", "question": "Which other certificates (27701, 42001, TISAX)?" }, { "id": "report_access", "question": "How can customers obtain reports?" }, { "id": "pentest", "question": "Are independent penetration test summaries available?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-07", "verificationStatus": "not-published", "support": "not-published", "answer": "We found no public information on this. A missing finding is not evidence that the product lacks the capability.", "availability": null, "delivery": null, "scope": null, "questions": [], "limitations": [], "checkedAt": null, "crossCheckedAt": null, "nextCheckAt": null, "evidenceIds": [] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "New public 2026 ATTESTA renewals establish ISO27001 and ISO9001 validity to 31 May 2029; the public TÜV SÜD ISO42001 certificate runs to 6 March 2028. SOC2 Type2 is vendor-documented, with full report evidence NDA-gated.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": "ATTESTA 10 June 2026 renewals; TÜV SÜD 7 March 2025 certificate", "plan": "Contracted Unique AI platform; platform assurance; certificates cover the named legal entity and stated scopes, not every module/provider availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "Certificates name Unique AG, Zurich, Switzerland; module/provider coverage depends on the stated audit scope", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "iso_27001", "question": "ISO 27001 with scope and validity?", "support": "supported", "answer": "Inspected the 2026 ATTESTA Schweizer Zertifizierungsgesellschaft AG ISO27001:2022 certificate for Unique AG, registration 223-06-018.I. It covers software development/operation/trading/distribution and IT services, is issued 10 June 2026 after 4 June surveillance and expires 31 May 2029. The certificate-linked public register matches the number and expiry. The marketing-linked 2025 PDF is an older artifact, not the current renewal.", "evidenceIds": [ "unique-ai:unique-ai:review2-iso27001", "unique-ai:unique-ai:review2-iso-register", "unique-ai:unique-ai:review2-iso-docs" ] }, { "id": "soc2", "question": "SOC 2 type, period and covered service?", "support": "partial", "answer": "The dedicated SOC page documents Type1 in December 2023 followed by Type2 in January 2025. This explains the historical Type1 references rather than proving an ongoing Type1-only state. Current Type2 status is a vendor claim; the auditor, actual report period and service/control scope were not inspected because the full report is NDA-gated.", "evidenceIds": [ "unique-ai:unique-ai:review2-soc" ] }, { "id": "c5", "question": "BSI C5 attestation?", "support": "unknown", "answer": "No public BSI C5 attestation was retrieved from the certification pages/trust centre or targeted first-party search.", "evidenceIds": [] }, { "id": "other_certifications", "question": "Which other certificates (27701, 42001, TISAX)?", "support": "partial", "answer": "Inspected ATTESTA ISO9001:2015 renewal 223-06-017.Q for the same Unique AG software/IT scope, expiring 31 May 2029, matched in the public register. Separately inspected TÜV SÜD South Asia ISO42001:2023 certificate 99 420 00001, valid 7 March 2025 to 6 March 2028, for development/deployment of financial-services SaaS using foundation or client models. Current full ISAE/FINMA report scope was not inspected.", "evidenceIds": [ "unique-ai:unique-ai:review2-iso9001", "unique-ai:unique-ai:review2-iso-register", "unique-ai:unique-ai:iso42001" ] }, { "id": "report_access", "question": "How can customers obtain reports?", "support": "supported", "answer": "The ISO documentation provides public certificate downloads. It says the ISO27001 Statement of Applicability requires a valid NDA. The dedicated SOC page likewise makes the audit report/certificate available on request after NDA. No NDA or sales request was made.", "evidenceIds": [ "unique-ai:unique-ai:review2-iso-docs", "unique-ai:unique-ai:review2-soc" ] }, { "id": "pentest", "question": "Are independent penetration test summaries available?", "support": "partial", "answer": "The public DPA describes internal/external security testing and the trust page describes tests/bug bounty. An independent penetration-test report, current scope or summary was not inspected.", "evidenceIds": [ "unique-ai:unique-ai:review2-dpa", "unique-ai:unique-ai:trust" ] } ], "limitations": [ "Current ISO27001/9001 evidence is the 2026 renewal plus matching register entries; the stale website-linked PDF is not used to deny current certification.", "SOC chronology and access process are vendor-documented, not a reviewed independent SOC report. Certificate scopes are entity-specific and not a universal module/provider assurance." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:review2-iso27001", "unique-ai:unique-ai:review2-iso9001", "unique-ai:unique-ai:review2-iso-register", "unique-ai:unique-ai:review2-iso-docs", "unique-ai:unique-ai:iso42001", "unique-ai:unique-ai:review2-soc", "unique-ai:unique-ai:review2-dpa", "unique-ai:unique-ai:trust" ] } ] }, { "id": "DATA-08", "title": "Encryption and key control", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "Record encryption at rest and in transit, customer-managed keys (BYOK/HYOK), key location, and private networking (private link, IP allow-lists, VPN).", "questions": [ { "id": "encryption_at_rest", "question": "Is data encrypted at rest?" }, { "id": "customer_managed_keys", "question": "Can the customer manage or hold the keys?" }, { "id": "private_networking", "question": "Is private connectivity or IP restriction available?" }, { "id": "tenant_isolation", "question": "How are customers separated in shared SaaS?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Network and storage security depend on the customer’s deployment; application authentication does not certify encryption of all stored content.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "encryption_at_rest", "question": "Is data encrypted at rest?", "support": "unknown", "answer": "encryption_at_rest: Is data encrypted at rest? No default at-rest encryption guarantee covering MongoDB/files/PGVector or audited multi-tenant managed-service isolation was established from the installation guides.", "evidenceIds": [] }, { "id": "customer_managed_keys", "question": "Can the customer manage or hold the keys?", "support": "partial", "answer": "Operators own infrastructure and application secrets; a documented product HYOK/customer-managed content-encryption service was not verified.", "evidenceIds": [ "librechat:librechat:auth", "librechat:librechat:compose-pin" ] }, { "id": "private_networking", "question": "Is private connectivity or IP restriction available?", "support": "supported", "answer": "Operators deploy the stack on their own network and configure reverse proxies/HTTPS for remote access.", "evidenceIds": [ "librechat:librechat:remote", "librechat:librechat:local" ] }, { "id": "tenant_isolation", "question": "How are customers separated in shared SaaS?", "support": "unknown", "answer": "tenant_isolation: How are customers separated in shared SaaS? No default at-rest encryption guarantee covering MongoDB/files/PGVector or audited multi-tenant managed-service isolation was established from the installation guides.", "evidenceIds": [] } ], "limitations": [ "encryption_at_rest: Is data encrypted at rest? No default at-rest encryption guarantee covering MongoDB/files/PGVector or audited multi-tenant managed-service isolation was established from the installation guides.", "customer_managed_keys: Operators own infrastructure and application secrets; a documented product HYOK/customer-managed content-encryption service was not verified.", "tenant_isolation: How are customers separated in shared SaaS? No default at-rest encryption guarantee covering MongoDB/files/PGVector or audited multi-tenant managed-service isolation was established from the installation guides." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:auth", "librechat:librechat:compose-pin", "librechat:librechat:remote", "librechat:librechat:local" ] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Deployment guides document encryption, isolated Single Tenant resources and optional IP filtering. Exact current MT PMK/CMK/HSM configuration and key sizes are not established across the conflicting pages.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI platform; hosted MT/ST encryption and optional customer-controlled self-hosting availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "Contracted Azure tenant/storage/backup region; actual key-vault/HSM location unverified", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "encryption_at_rest", "question": "Is data encrypted at rest?", "support": "partial", "answer": "The compliance matrix documents encryption at rest and in transit across deployment options, with AES256/TLS1.2+ in its controls text. No exact current RSA key size is asserted: the ST architecture says 2048-bit RSA-HSM while the hosted retention page says 4096-bit. An implementation-specific key design was not retrieved.", "evidenceIds": [ "unique-ai:unique-ai:review2-compliance", "unique-ai:unique-ai:review2-single", "unique-ai:unique-ai:review2-retention" ] }, { "id": "customer_managed_keys", "question": "Can the customer manage or hold the keys?", "support": "partial", "answer": "The infrastructure key guide allows a customer-generated key to be imported for a Unique-hosted Single Tenant, with Unique holding/managing it. It directs clients needing exclusive control of all storage keys to customer self-hosting. This is not HYOK or exclusive customer custody in Unique hosting. Actual MT PMK/CMK/HSM configuration is unknown because the key guide and hosted retention matrix disagree.", "evidenceIds": [ "unique-ai:unique-ai:review2-keys", "unique-ai:unique-ai:review2-retention" ] }, { "id": "private_networking", "question": "Is private connectivity or IP restriction available?", "support": "partial", "answer": "The Single-Tenant WAF supports optional IP blocking. The separate SEE consumer endpoint is public TLS with optional allow-list and no standard private endpoint/peering. These are distinct scopes; other private-link options for the customer deployment were not verified.", "evidenceIds": [ "unique-ai:unique-ai:review2-single", "unique-ai:unique-ai:security-export" ] }, { "id": "tenant_isolation", "question": "How are customers separated in shared SaaS?", "support": "supported", "answer": "The Single-Tenant architecture describes a separate customer landing zone under Unique's subscription, isolating its storage/processing from other customers. This documents that ST architecture, not the isolation configuration of every hosted or customer-managed instance.", "evidenceIds": [ "unique-ai:unique-ai:review2-single" ] } ], "limitations": [ "No exact RSA/HSM key size or actual MT PMK/CMK design is asserted. A customer-specific deployment/key diagram and key-vault region were not inspected.", "Customer-generated imported keys held by Unique do not establish customer-exclusive key custody; full control is a separate self-hosting option." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:review2-compliance", "unique-ai:unique-ai:review2-single", "unique-ai:unique-ai:review2-retention", "unique-ai:unique-ai:review2-keys", "unique-ai:unique-ai:security-export" ] } ] }, { "id": "DATA-09", "title": "Professional secrecy", "group": { "id": 6, "name": "Data protection and sovereignty" }, "judgment": "For professional secrecy holders (Berufsgeheimnisträger: lawyers, doctors, auditors, tax advisers) under § 203 StGB (DE) and Art. 321 StGB (CH), record whether the vendor signs a contractual secrecy undertaking or a § 203 agreement that binds its staff and its sub-processors; whether this comes as a dedicated offering or a paid add-on, and on which plan; who can access content in plain text (vendor staff, sub-processors, model providers); and the documentation provided. A DPA or a no-training clause alone is not a secrecy undertaking. Banking secrecy and FINMA outsourcing belong to DATA-06, not here. Record contract facts, not a legal assessment.", "questions": [ { "id": "secrecy_undertaking", "question": "Does the vendor sign a secrecy undertaking or § 203 StGB / Art. 321 StGB agreement covering its own staff?" }, { "id": "subprocessor_coverage", "question": "Does the undertaking extend to its sub-processors, and is that documented?" }, { "id": "secrecy_offering", "question": "Is it a dedicated offering or add-on, and on which plan?" }, { "id": "content_access", "question": "Who can access content in plain text: vendor staff, sub-processors, model providers?" }, { "id": "secrecy_documentation", "question": "Is the offering publicly documented (contract template, data-flow description, professional-body guidance)?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:DATA-09", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Customer-operated message storage and configurable local/external inference establish part of the content-access boundary. A LibreChat-scoped staff/sub-processor secrecy undertaking or professional-secrecy offering remains unverified.", "availability": "unknown", "delivery": "unknown", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; message schema and reference Compose pinned to v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional commercial secrecy terms unverified. Public Demo and website policies checked only to distinguish their scope", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected application, storage and model-service locations; no DE/CH professional-secrecy contract variant verified", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "secrecy_undertaking", "question": "Does the vendor sign a secrecy undertaking or § 203 StGB / Art. 321 StGB agreement covering its own staff?", "support": "unknown", "answer": "No LibreChat-scoped § 203 StGB / Art. 321 StGB undertaking binding vendor staff was obtained from the reviewed project documentation and public legal pages. The website privacy policy expressly excludes the self-hosted application; ClickHouse ownership does not establish a product-specific agreement.", "evidenceIds": [ "librechat:librechat:siteprivacy", "librechat:librechat:owner" ] }, { "id": "subprocessor_coverage", "question": "Does the undertaking extend to its sub-processors, and is that documented?", "support": "unknown", "answer": "No self-hosted LibreChat professional-secrecy annex or documented extension to sub-processors was obtained. The separate Demo policy describes processor instruction/security obligations, which do not establish the undertaking requested here or coverage of a customer deployment.", "evidenceIds": [ "librechat:librechat:secrecy-demo-policy" ] }, { "id": "secrecy_offering", "question": "Is it a dedicated offering or add-on, and on which plan?", "support": "unknown", "answer": "No dedicated professional-secrecy edition, paid add-on, eligible plan or price was established in the public project/legal materials and targeted searches. The public Demo is evaluation-only and excludes confidential or regulated data; it is a separate surface.", "evidenceIds": [ "librechat:librechat:demo" ] }, { "id": "content_access", "question": "Who can access content in plain text: vendor staff, sub-processors, model providers?", "support": "partial", "answer": "The pinned reference deployment mounts customer-controlled MongoDB, uploads and logs; the message schema declares ordinary text/content fields. This places host/database operators inside the application trust boundary (an architectural inference, not a permissions audit). The first-chat and endpoint guides route prompts to a selected local or external model with customer credentials. Vendor/support access, optional service operators and provider human access remain deployment- and contract-specific and unverified.", "evidenceIds": [ "librechat:librechat:compose-pin", "librechat:librechat:secrecy-message-pin", "librechat:librechat:firstchat", "librechat:librechat:custom" ] }, { "id": "secrecy_documentation", "question": "Is the offering publicly documented (contract template, data-flow description, professional-body guidance)?", "support": "unknown", "answer": "Public installation, endpoint and privacy documents describe technical data paths and distinguish website, Demo and self-hosted software. No LibreChat-specific DE/CH secrecy contract template, covered-party annex or professional-body guidance was located in the reviewed sources.", "evidenceIds": [ "librechat:librechat:firstchat", "librechat:librechat:siteprivacy" ] } ], "limitations": [ "The secrecy undertaking, sub-processor coverage, offering and professional-secrecy-specific documentation remain unknown.", "content_access: Operator permissions, vendor/support grants, optional service access and provider staff access were not tested or contractually verified.", "Technical data controls, a DPA, privacy wording and no-training statements do not establish the requested contractual undertaking. No legal compliance assessment is made." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:siteprivacy", "librechat:librechat:owner", "librechat:librechat:secrecy-demo-policy", "librechat:librechat:demo", "librechat:librechat:compose-pin", "librechat:librechat:secrecy-message-pin", "librechat:librechat:firstchat", "librechat:librechat:custom" ] }, { "productId": "unique-ai", "claimId": "unique-ai:DATA-09", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Unique documents general staff/external-party access controls and customer-controlled on-premises access. A professional-secrecy undertaking under § 203 StGB or Art. 321 StGB, its subprocessor flow-down and qualifying plan/add-on remain unverified. Financial-sector banking-secrecy amendments are recorded separately under DATA-06.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI; profession-specific eligibility and fees unpublished", "addOns": [], "deploymentMode": null, "region": "Contracted hosting jurisdiction; customer-controlled on-premises access described separately from Unique-hosted access", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "secrecy_undertaking", "question": "Does the vendor sign a secrecy undertaking or § 203 StGB / Art. 321 StGB agreement covering its own staff?", "support": "unknown", "answer": "No public Unique AI-specific § 203 StGB or Art. 321 StGB secrecy undertaking covering staff was located in the DPA, compliance documentation or targeted first-party search on 21 October 2026. The DPA confidentiality commitment alone does not establish a professional-secrecy undertaking. No executed or negotiated customer agreement was inspected.", "evidenceIds": [] }, { "id": "subprocessor_coverage", "question": "Does the undertaking extend to its sub-processors, and is that documented?", "support": "unknown", "answer": "The DPA says employees, contractual subprocessors and other service providers are bound to confidentiality of sensitive information. A professional-secrecy-specific obligation extending through the subprocessor/model-provider chain was not verified. The Microsoft M744 banking-secrecy amendment mentioned in the financial-services framework is not counted as evidence of § 203 / Art. 321 coverage for professional secrecy holders.", "evidenceIds": [] }, { "id": "secrecy_offering", "question": "Is it a dedicated offering or add-on, and on which plan?", "support": "unknown", "answer": "No qualifying professional-secrecy plan, dedicated offering, add-on tariff or named eligibility rule was located. The documented financial-services amendments and general deployment choices do not establish a separate § 203 / Art. 321 offering. Contract-specific terms and fees remain unknown.", "evidenceIds": [] }, { "id": "content_access", "question": "Who can access content in plain text: vendor staff, sub-processors, model providers?", "support": "partial", "answer": "DPA Appendix B permits employees or external parties access to personal/confidential information on a need-to-know basis. For on-premises support, customers control remote connections and Unique staff cannot access a customer system without customer knowledge or full active participation. The on-premises architecture also allows operation without any Unique access under customer control. These sources do not exhaustively identify plaintext access at each hosted subprocessor/model provider or profession-specific access conditions.", "evidenceIds": [ "unique-ai:unique-ai:dpa", "unique-ai:unique-ai:onpremsecurity" ] }, { "id": "secrecy_documentation", "question": "Is the offering publicly documented (contract template, data-flow description, professional-body guidance)?", "support": "unknown", "answer": "A public DPA and on-premises architecture describe confidentiality and access controls, but no profession-specific secrecy template or professional-body guidance was located. The compliance page describes Microsoft M453/M744/M329 in a financial-services context; those banking/FINMA disclosures belong to DATA-06 and do not establish the missing professional-secrecy contract.", "evidenceIds": [] } ], "limitations": [ "No executed professional-secrecy undertaking or § 203 / Art. 321 contract was inspected. General DPA confidentiality is not treated as such an undertaking.", "The M744 professional-secrecy wording appears in a banking-secrecy/financial-services framework; no inference is made to lawyers, doctors, auditors or tax advisers.", "Customer-controlled on-premises access does not establish the same access conditions for Unique-hosted deployments or all model-provider routes. Full plaintext-access mapping remains unknown." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:dpa", "unique-ai:unique-ai:onpremsecurity", "unique-ai:unique-ai:compliance" ] } ] }, { "id": "VEN-01", "title": "Pricing model and list prices", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Record pricing unit (per seat, per active user, usage-based, platform fee, hybrid), list prices per plan in original currency with date, included usage and credits, add-on prices (connectors, agents, image generation) and overage rates. Cite public prices or dated quotes. Per-seat versus usage is a fact, not a quality judgment.", "questions": [ { "id": "pricing_unit", "question": "What is the pricing unit?" }, { "id": "list_prices", "question": "What are list prices per plan, with date and currency?" }, { "id": "included_usage", "question": "What usage is included?" }, { "id": "add_ons", "question": "Which features cost extra?" }, { "id": "overage", "question": "What do usage beyond limits and premium models cost?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "MIT software has no licence subscription; hosting, inference and optional runtime services are separately procured.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "pricing_unit", "question": "What is the pricing unit?", "support": "supported", "answer": "The pinned MIT permission grant has no per-user fee; self-hosting and model accounts are customer responsibilities.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:firstchat" ] }, { "id": "list_prices", "question": "What are list prices per plan, with date and currency?", "support": "supported", "answer": "The repository’s MIT licence permits use without a software fee as retrieved 2026-10-21; there is no bundled inference subscription in this scope.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:firstchat" ] }, { "id": "included_usage", "question": "What usage is included?", "support": "supported", "answer": "LibreChat ships with no model API key and no included provider token balance.", "evidenceIds": [ "librechat:librechat:firstchat" ] }, { "id": "add_ons", "question": "Which features cost extra?", "support": "partial", "answer": "Optional external code/OCR/search/image services need separately configured endpoints and credentials. Their rates depend on the operator’s contracts.", "evidenceIds": [ "librechat:librechat:code", "librechat:librechat:ocr", "librechat:librechat:web", "librechat:librechat:images" ] }, { "id": "overage", "question": "What do usage beyond limits and premium models cost?", "support": "partial", "answer": "Provider APIs charge their account holder; internal credit balances are governance configuration rather than a single LibreChat usage tariff.", "evidenceIds": [ "librechat:librechat:balance", "librechat:librechat:tokens", "librechat:librechat:firstchat" ] } ], "limitations": [ "add_ons: Optional external code/OCR/search/image services need separately configured endpoints and credentials. Their rates depend on the operator’s contracts.", "overage: Provider APIs charge their account holder; internal credit balances are governance configuration rather than a single LibreChat usage tariff." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:firstchat", "librechat:librechat:code", "librechat:librechat:ocr", "librechat:librechat:web", "librechat:librechat:images", "librechat:librechat:balance", "librechat:librechat:tokens" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-01", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Applicable current platform pricing unit, list tariff, included usage and overages remain unknown. A separately documented Single-Tenant SEE consumption/engineering charge is retained; legacy sales-conversation terms are excluded.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI platform; platform subscription and separately enabled Single-Tenant SEE availability and deployment/provider configuration depend on the customer agreement", "addOns": [ "SEE scope only where contracted" ], "deploymentMode": null, "region": "Vendor currency and applicable invoicing terms not established for the platform; SEE guide separately quotes indicative CHF consumption", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "pricing_unit", "question": "What is the pricing unit?", "support": "unknown", "answer": "No applicable current platform MSA/order form or tariff establishing seat, active-user, platform or usage pricing units was retrieved. The public 18 October 2023 ToS defines a sales-conversation intelligence service, so its subscription/Order Form clauses are not applied to current Unique AI.", "evidenceIds": [] }, { "id": "list_prices", "question": "What are list prices per plan, with date and currency?", "support": "unknown", "answer": "No applicable current platform list tariff, tier names or primary invoicing currency was retrieved from platform/contract documentation or targeted first-party search.", "evidenceIds": [] }, { "id": "included_usage", "question": "What usage is included?", "support": "unknown", "answer": "No applicable current platform agreement specifying included model tokens, storage or module allowances was publicly retrieved.", "evidenceIds": [] }, { "id": "add_ons", "question": "Which features cost extra?", "support": "partial", "answer": "Single-Tenant SEE passes through Azure consumption without markup; guide observes CHF20-50/month/environment, not a fixed quote, with initial engineering at agreed rates. Other module charges are unpublished.", "evidenceIds": [ "unique-ai:unique-ai:security-export" ] }, { "id": "overage", "question": "What do usage beyond limits and premium models cost?", "support": "unknown", "answer": "No applicable current platform overage or premium-model sales tariff was retrieved. Cost-management model estimates are not substituted for a customer sales tariff.", "evidenceIds": [] } ], "limitations": [ "The SEE cost finding is scoped only to that Single-Tenant integration. It does not price the platform subscription or all modules.", "The 2023 sales-conversation ToS is excluded as evidence of current Unique AI commercial terms; no sales quote or private contract was requested." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:security-export", "unique-ai:unique-ai:review2-governance", "unique-ai:unique-ai:review2-terms-admin" ] } ] }, { "id": "VEN-02", "title": "Scenario cost", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Price three workloads for 12 months: 200, 1,000 and 5,000 users with a disclosed light/regular/power usage mix, in CHF and EUR excluding VAT. Include licences, platform fees, add-ons, model usage and, for self-hosted options, a stated operating assumption. Separate fixed, variable, included and unknown costs. No invented discounts.", "questions": [ { "id": "cost_200", "question": "Year-one cost at 200 users?" }, { "id": "cost_1000", "question": "Year-one cost at 1,000 users?" }, { "id": "cost_5000", "question": "Year-one cost at 5,000 users?" }, { "id": "variable_share", "question": "Which part depends on usage?" }, { "id": "unknown_parts", "question": "Which costs could not be priced?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21: zero standard licence plus a disclosed Swiss infrastructure/operations and direct-BYO-model budget. Annual CHF/EUR figures are floors plus named unknown costs.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [ "Analyst-selected direct OpenAI API proxy, not a bundled model", "Assumed operations staffing; optional commercial services excluded" ], "deploymentMode": "customer-cloud", "region": "Azure Switzerland North for the reference application infrastructure; standard OpenAI API inference has no Swiss/EU residency assumption", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "cost_200", "question": "Year-one cost at 200 users?", "support": "partial", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. 200 users, 12 months excluding VAT: from CHF 34778.28 / EUR 37651.06 plus unpriced items. Includes zero standard-software licence, reference infrastructure EUR 4749.26, operations CHF 30000.00, and BYO model usage USD 475.20. This is an assumption-based budget floor, not a vendor quote or validated capacity plan.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:cost-vm", "librechat:librechat:cost-pg", "librechat:librechat:cost-fx", "librechat:librechat:cost-model", "librechat:librechat:cost-effort" ] }, { "id": "cost_1000", "question": "Year-one cost at 1,000 users?", "support": "partial", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. 1,000 users, 12 months excluding VAT: from CHF 88600.40 / EUR 95919.02 plus unpriced items. Includes zero standard-software licence, reference infrastructure EUR 12605.23, operations CHF 75000.00, and BYO model usage USD 2376.00. This is an assumption-based budget floor, not a vendor quote or validated capacity plan.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:cost-vm", "librechat:librechat:cost-pg", "librechat:librechat:cost-fx", "librechat:librechat:cost-model", "librechat:librechat:cost-effort" ] }, { "id": "cost_5000", "question": "Year-one cost at 5,000 users?", "support": "partial", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. 5,000 users, 12 months excluding VAT: from CHF 189541.24 / EUR 205197.83 plus unpriced items. Includes zero standard-software licence, reference infrastructure EUR 32214.49, operations CHF 150000.00, and BYO model usage USD 11880.00. This is an assumption-based budget floor, not a vendor quote or validated capacity plan.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:cost-vm", "librechat:librechat:cost-pg", "librechat:librechat:cost-fx", "librechat:librechat:cost-model", "librechat:librechat:cost-effort" ] }, { "id": "variable_share", "question": "Which part depends on usage?", "support": "partial", "answer": "Shared mix is 60% light at 100, 30% regular at 400 and 10% power at 1,500 messages/user/month, or 330 weighted messages. Each message is 3,000 input and 600 output tokens. Direct BYO proxy is gpt-6-luna, reasoning effort none, Standard short-context uncached rates USD 0.10/0.50 per million input/output tokens. It costs USD 2.376/user/year before optional tools, embedding, caching or regional processing. This proxy is an analyst assumption, not the product default.", "evidenceIds": [ "librechat:librechat:cost-model", "librechat:librechat:cost-effort" ] }, { "id": "unknown_parts", "question": "Which costs could not be priced?", "support": "partial", "answer": "Unpriced additions are file/object storage beyond the assumed 500 GB PostgreSQL storage, VM OS/data disks, backup excess, egress/load balancers, Redis or additional database services, high availability, embeddings, OCR, search, audio/images, integration work and optional commercial services. MongoDB remains the primary store, so its infrastructure, file storage and other required dependencies are additional unpriced items; PostgreSQL is only the shared RAG/reference compute assumption. The shared VM/PG sizes have not been load-tested and do not replace each product’s documented runtime dependencies.", "evidenceIds": [ "librechat:librechat:cost-vm", "librechat:librechat:cost-pg", "librechat:librechat:license" ] } ], "limitations": [ "ALM-14 shared cost assumptions v1.4, 2026-10-21 are analyst inputs, not vendor sizing or an uptime promise.", "The budget is a floor because named infrastructure and service costs are unpriced." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:cost-vm", "librechat:librechat:cost-pg", "librechat:librechat:cost-fx", "librechat:librechat:cost-model", "librechat:librechat:cost-effort" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-02", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. Public enterprise pricing is insufficient for the required 200/1,000/5,000-user annual totals.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "cost_200", "question": "Year-one cost at 200 users?", "support": "unknown", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. Horizon 12 months, list prices excluding VAT, no invented discounts. Mix 60% light at 100 messages/user/month, 30% regular at 400, 10% power at 1,500. Where model usage is separately billed, each message has 3,000 input and 600 output tokens, giving 990k input plus 198k output per user/month. At 200/1,000/5,000 users this is 198m/990m/4.95bn input and 39.6m/198m/990m output per month. All three seat counts require an unpublished enterprise/custom price; no quote was requested. CHF and EUR ex-VAT totals, fixed charges, variable charges and add-ons remain unknown. FX dated 2026-10-20: EUR 1 = CHF 0.9237 and USD 1.1215; CHF to EUR divide by 0.9237, USD to EUR divide by 1.1215, source ECB. No numeric conversion or proxy model tariff is applied because there is no applicable public enterprise base/usage rate.", "evidenceIds": [] }, { "id": "cost_1000", "question": "Year-one cost at 1,000 users?", "support": "unknown", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. Horizon 12 months, list prices excluding VAT, no invented discounts. Mix 60% light at 100 messages/user/month, 30% regular at 400, 10% power at 1,500. Where model usage is separately billed, each message has 3,000 input and 600 output tokens, giving 990k input plus 198k output per user/month. At 200/1,000/5,000 users this is 198m/990m/4.95bn input and 39.6m/198m/990m output per month. All three seat counts require an unpublished enterprise/custom price; no quote was requested. CHF and EUR ex-VAT totals, fixed charges, variable charges and add-ons remain unknown. FX dated 2026-10-20: EUR 1 = CHF 0.9237 and USD 1.1215; CHF to EUR divide by 0.9237, USD to EUR divide by 1.1215, source ECB. No numeric conversion or proxy model tariff is applied because there is no applicable public enterprise base/usage rate.", "evidenceIds": [] }, { "id": "cost_5000", "question": "Year-one cost at 5,000 users?", "support": "unknown", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. Horizon 12 months, list prices excluding VAT, no invented discounts. Mix 60% light at 100 messages/user/month, 30% regular at 400, 10% power at 1,500. Where model usage is separately billed, each message has 3,000 input and 600 output tokens, giving 990k input plus 198k output per user/month. At 200/1,000/5,000 users this is 198m/990m/4.95bn input and 39.6m/198m/990m output per month. All three seat counts require an unpublished enterprise/custom price; no quote was requested. CHF and EUR ex-VAT totals, fixed charges, variable charges and add-ons remain unknown. FX dated 2026-10-20: EUR 1 = CHF 0.9237 and USD 1.1215; CHF to EUR divide by 0.9237, USD to EUR divide by 1.1215, source ECB. No numeric conversion or proxy model tariff is applied because there is no applicable public enterprise base/usage rate.", "evidenceIds": [] }, { "id": "variable_share", "question": "Which part depends on usage?", "support": "unknown", "answer": "ALM-14 shared cost assumptions v1.4, 2026-10-21. Horizon 12 months, list prices excluding VAT, no invented discounts. Mix 60% light at 100 messages/user/month, 30% regular at 400, 10% power at 1,500. Where model usage is separately billed, each message has 3,000 input and 600 output tokens, giving 990k input plus 198k output per user/month. At 200/1,000/5,000 users this is 198m/990m/4.95bn input and 39.6m/198m/990m output per month. All three seat counts require an unpublished enterprise/custom price; no quote was requested. CHF and EUR ex-VAT totals, fixed charges, variable charges and add-ons remain unknown. FX dated 2026-10-20: EUR 1 = CHF 0.9237 and USD 1.1215; CHF to EUR divide by 0.9237, USD to EUR divide by 1.1215, source ECB. No numeric conversion or proxy model tariff is applied because there is no applicable public enterprise base/usage rate.", "evidenceIds": [] }, { "id": "unknown_parts", "question": "Which costs could not be priced?", "support": "supported", "answer": "Subscription/order pricing, usage billing, provider contracts, deployment operation, connectors, execution, training and support charges are not publicly priced. SEE consumption example alone cannot price the platform.", "evidenceIds": [ "unique-ai:unique-ai:terms", "unique-ai:unique-ai:platform", "unique-ai:unique-ai:security-export" ] } ], "limitations": [ "ALM-14 shared cost assumptions v1.4, 2026-10-21. Horizon 12 months, list prices excluding VAT, no invented discounts. Mix 60% light at 100 messages/user/month, 30% regular at 400, 10% power at 1,500. Where model usage is separately billed, each message has 3,000 input and 600 output tokens, giving 990k input plus 198k output per user/month. At 200/1,000/5,000 users this is 198m/990m/4.95bn input and 39.6m/198m/990m output per month. All three seat counts require an unpublished enterprise/custom price; no quote was requested. CHF and EUR ex-VAT totals, fixed charges, variable charges and add-ons remain unknown. FX dated 2026-10-20: EUR 1 = CHF 0.9237 and USD 1.1215; CHF to EUR divide by 0.9237, USD to EUR divide by 1.1215, source ECB. No numeric conversion or proxy model tariff is applied because there is no applicable public enterprise base/usage rate." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:terms", "unique-ai:unique-ai:platform", "unique-ai:unique-ai:security-export", "unique-ai:unique-ai:ecb-fx" ] } ] }, { "id": "VEN-03", "title": "Evaluation access", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Distinguish free tier, self-serve trial, sales-led pilot, paid proof of concept and open-source self-install. Record card requirement, duration, seat limit, and which features (SSO, connectors, admin) the trial includes. Map which shared scenarios can be run without sales approval.", "questions": [ { "id": "free_tier", "question": "Is there a free tier for business use?" }, { "id": "self_serve_trial", "question": "Is a self-serve business trial available?" }, { "id": "trial_scope", "question": "Do trials include SSO, connectors and admin features?" }, { "id": "sales_gate", "question": "Does meaningful evaluation require sales contact?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-03", "verificationStatus": "agent-cross-checked", "support": "supported", "answer": "Customers can self-install without licence payment; the public demo is an evaluation-only alternative.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web", "public-demo" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" }, { "id": "public-demo", "name": "LibreChat public evaluation demo", "type": "hosted-demo" } ] }, "questions": [ { "id": "free_tier", "question": "Is there a free tier for business use?", "support": "supported", "answer": "MIT self-installation permits organizational use without a software licence fee.", "evidenceIds": [ "librechat:librechat:license" ] }, { "id": "self_serve_trial", "question": "Is a self-serve business trial available?", "support": "supported", "answer": "Self-installation has no trial clock or software card requirement; the free hosted Demo can be tried separately under its terms.", "evidenceIds": [ "librechat:librechat:local", "librechat:librechat:demo" ] }, { "id": "trial_scope", "question": "Do trials include SSO, connectors and admin features?", "support": "supported", "answer": "Self-installed instances can configure SSO, Agents, file retrieval and administration with their own service accounts. It is not evidence that every experimental add-on is enabled by default.", "evidenceIds": [ "librechat:librechat:auth", "librechat:librechat:agents", "librechat:librechat:rag" ] }, { "id": "sales_gate", "question": "Does meaningful evaluation require sales contact?", "support": "supported", "answer": "The documented Docker install does not require sales approval; optional third-party services have separate account requirements.", "evidenceIds": [ "librechat:librechat:local", "librechat:librechat:firstchat" ] } ], "limitations": [], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:local", "librechat:librechat:demo", "librechat:librechat:auth", "librechat:librechat:agents", "librechat:librechat:rag", "librechat:librechat:firstchat" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-03", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The public route is demo/evaluation by arrangement; self-service trial conditions were not established.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "free_tier", "question": "Is there a free tier for business use?", "support": "unknown", "answer": "Is there a free tier for business use? Unknown. No permanent business free tier or self-serve trial with duration/card/seat/SSO/connector/admin entitlements was located. No sales contact, login or fixture account was used.", "evidenceIds": [] }, { "id": "self_serve_trial", "question": "Is a self-serve business trial available?", "support": "unknown", "answer": "Is a self-serve business trial available? Unknown. No permanent business free tier or self-serve trial with duration/card/seat/SSO/connector/admin entitlements was located. No sales contact, login or fixture account was used.", "evidenceIds": [] }, { "id": "trial_scope", "question": "Do trials include SSO, connectors and admin features?", "support": "unknown", "answer": "Do trials include SSO, connectors and admin features? Unknown. No permanent business free tier or self-serve trial with duration/card/seat/SSO/connector/admin entitlements was located. No sales contact, login or fixture account was used.", "evidenceIds": [] }, { "id": "sales_gate", "question": "Does meaningful evaluation require sales contact?", "support": "partial", "answer": "Current platform CTA requests a demo; public baseline ToS says Unique may offer evaluation at its discretion. This does not prove every meaningful evaluation is sales-gated.", "evidenceIds": [ "unique-ai:unique-ai:platform", "unique-ai:unique-ai:terms" ] } ], "limitations": [ "No permanent business free tier or self-serve trial with duration/card/seat/SSO/connector/admin entitlements was located. No sales contact, login or fixture account was used." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:platform", "unique-ai:unique-ai:terms" ] } ] }, { "id": "VEN-04", "title": "Contract terms and pricing transparency", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Record minimum seats or commitment, contract length, monthly versus annual billing, price-change rules, cancellation and downgrade terms, and invoicing in CHF/EUR. Classify pricing as transparent, partially specified, quote-only or unknown, naming the missing fields. Quote-only pricing is a disclosed constraint.", "questions": [ { "id": "minimum_commitment", "question": "What seat or spend minimum applies?" }, { "id": "contract_length", "question": "What contract lengths are offered?" }, { "id": "cancellation", "question": "How can the contract be cancelled or reduced?" }, { "id": "local_invoicing", "question": "Can it be invoiced in CHF or EUR from a European entity?" }, { "id": "transparency_class", "question": "Is pricing transparent, partial, quote-only or unknown?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The MIT licence has no seat or contract-term subscription; optional service contracts are outside that licence.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "minimum_commitment", "question": "What seat or spend minimum applies?", "support": "supported", "answer": "The MIT permission grant has no user-count or spending minimum for software use.", "evidenceIds": [ "librechat:librechat:license" ] }, { "id": "contract_length", "question": "What contract lengths are offered?", "support": "supported", "answer": "There is no monthly/annual licence subscription in the MIT permission grant. External hosting/API contracts are separate.", "evidenceIds": [ "librechat:librechat:license" ] }, { "id": "cancellation", "question": "How can the contract be cancelled or reduced?", "support": "partial", "answer": "An operator can stop running the application; this does not cancel its separately purchased cloud/model services or establish deletion of all copies.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:local" ] }, { "id": "local_invoicing", "question": "Can it be invoiced in CHF or EUR from a European entity?", "support": "unknown", "answer": "local_invoicing: Can it be invoiced in CHF or EUR from a European entity? CHF/EUR commercial invoicing from a European entity was not established for optional project services.", "evidenceIds": [] }, { "id": "transparency_class", "question": "Is pricing transparent, partial, quote-only or unknown?", "support": "partial", "answer": "Source licensing is transparent; a complete all-in hosted/support/inference tariff is not included in this self-hosted offer.", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:firstchat" ] } ], "limitations": [ "cancellation: An operator can stop running the application; this does not cancel its separately purchased cloud/model services or establish deletion of all copies.", "local_invoicing: Can it be invoiced in CHF or EUR from a European entity? CHF/EUR commercial invoicing from a European entity was not established for optional project services.", "transparency_class: Source licensing is transparent; a complete all-in hosted/support/inference tariff is not included in this self-hosted offer." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:local", "librechat:librechat:firstchat" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-04", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Current platform minimums, term, cancellation and local invoicing remain unknown because the applicable agreement was not publicly retrieved. Current documentation makes legal contracts available on request; legacy sales-conversation renewal clauses are excluded.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web", "api" ], "version": null, "plan": "Contracted Unique AI platform; platform commercial agreement; actual agreement not inspected availability and deployment/provider configuration depend on the customer agreement", "addOns": [], "deploymentMode": null, "region": "CHF/EUR invoicing and legal entity for a specific platform contract unverified", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" }, { "id": "api", "name": "Unique API and Python SDK", "type": "api" } ] }, "questions": [ { "id": "minimum_commitment", "question": "What seat or spend minimum applies?", "support": "unknown", "answer": "No current platform seat/spend minimum was established from the public contract-access and platform pages.", "evidenceIds": [] }, { "id": "contract_length", "question": "What contract lengths are offered?", "support": "unknown", "answer": "No applicable current Unique AI agreement establishing subscription duration, renewal term or notice period was retrieved. The 2023 sales-conversation service term is not applied.", "evidenceIds": [] }, { "id": "cancellation", "question": "How can the contract be cancelled or reduced?", "support": "unknown", "answer": "Current Unique AI cancellation, refund, seat-reduction and nonrenewal rules were not retrieved. The 30-day renewal notice and quantity restrictions from the sales-conversation ToS are excluded.", "evidenceIds": [] }, { "id": "local_invoicing", "question": "Can it be invoiced in CHF or EUR from a European entity?", "support": "unknown", "answer": "CHF/EUR invoice currency, billing entity and local invoicing eligibility for a current platform contract were not established.", "evidenceIds": [] }, { "id": "transparency_class", "question": "Is pricing transparent, partial, quote-only or unknown?", "support": "partial", "answer": "The current governance framework says legal contracts and end-user T&Cs are available on request. No applicable public platform list tariff or complete commercial agreement was retrieved. This records an access/transparency gap, not a price or a customer-specific commitment.", "evidenceIds": [ "unique-ai:unique-ai:review2-governance", "unique-ai:unique-ai:review2-terms-admin" ] } ], "limitations": [ "No current customer agreement or sales quote was requested. Contract availability on request does not establish price, term or cancellation conditions." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:review2-governance", "unique-ai:unique-ai:review2-terms-admin" ] } ] }, { "id": "VEN-05", "title": "Source licence", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Record licence per component (client, server, connectors, hosted extensions) and revision. Distinguish OSI open source, source-available with restrictions (branding clauses, user caps), and closed. Repository visibility is not a licence classification. Licences change between releases: record the current terms, and never carry a fork's historical licence over to the upstream product or the reverse.", "questions": [ { "id": "licence_type", "question": "Which licence applies to each component?" }, { "id": "branding_restrictions", "question": "Do licence terms restrict branding or user counts?" }, { "id": "enterprise_features_closed", "question": "Are enterprise features in a separate closed edition?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The pinned main repository is MIT licensed; no user-count or product-branding clause appears in that licence.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "licence_type", "question": "Which licence applies to each component?", "support": "supported", "answer": "The main client/server repository at v0.8.8 is MIT. Separate Code Interpreter, admin-panel, connector or hosted-service components need their own licence review.", "evidenceIds": [ "librechat:librechat:license" ] }, { "id": "branding_restrictions", "question": "Do licence terms restrict branding or user counts?", "support": "supported", "answer": "The MIT grant permits use/modification/distribution subject to retaining its copyright and permission notice; it includes no 50-user cap or mandatory UI branding clause.", "evidenceIds": [ "librechat:librechat:license" ] }, { "id": "enterprise_features_closed", "question": "Are enterprise features in a separate closed edition?", "support": "partial", "answer": "The project documents a separate preview admin panel and optional code services. A closed enterprise-edition boundary for the main repository was not established.", "evidenceIds": [ "librechat:librechat:admin", "librechat:librechat:code", "librechat:librechat:license" ] } ], "limitations": [ "enterprise_features_closed: The project documents a separate preview admin panel and optional code services. A closed enterprise-edition boundary for the main repository was not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:license", "librechat:librechat:admin", "librechat:librechat:code" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-05", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The public reference repository uses restricted Unique License v1, while the Python SDK has an explicit MIT exception. Hosted platform component terms and enterprise-edition boundaries remain unverified.", "availability": "source-only", "delivery": "native", "scope": { "surfaceIds": [ "api", "web" ], "version": "Unique-AG/ai commit afa596c9b4b0231895ff70f44029a9a525f746e9", "plan": "Public reference-code and Python SDK licences; current contracted Unique AI client/server/connector agreement remains unavailable", "addOns": [], "deploymentMode": null, "region": "Public Unique License v1 specifies Swiss law and Zurich venue; this is not a hosted-service residency claim", "os": [], "surfaces": [ { "id": "api", "name": "Unique API and Python SDK", "type": "api" }, { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "licence_type", "question": "Which licence applies to each component?", "support": "partial", "answer": "The public Unique-AG/ai repository at afa596c9b4b0231895ff70f44029a9a525f746e9 defaults to Unique License v1, which restricts commercial use, distribution and modification without written approval. The unique_sdk directory is an explicit MIT exception, confirmed by LICENSE and package metadata. This is a component-level source-available/MIT distinction; current hosted client/server/connector customer terms and a full dependency inventory remain unknown.", "evidenceIds": [ "unique-ai:unique-ai:reference-licence-20261026", "unique-ai:unique-ai:unique-licence-v1-20261026", "unique-ai:unique-ai:sdk-licence-20261026", "unique-ai:unique-ai:sdk-package-20261026" ] }, { "id": "branding_restrictions", "question": "Do licence terms restrict branding or user counts?", "support": "partial", "answer": "Unique License v1 requires written approval to modify or redistribute covered reference code; the MIT SDK exception requires retention of copyright/licence notices. A current hosted-platform white-label/logo-removal obligation or a numerical user cap is not established by these public component licences.", "evidenceIds": [ "unique-ai:unique-ai:reference-licence-20261026", "unique-ai:unique-ai:unique-licence-v1-20261026", "unique-ai:unique-ai:sdk-licence-20261026" ] }, { "id": "enterprise_features_closed", "question": "Are enterprise features in a separate closed edition?", "support": "unknown", "answer": "Current closed/open enterprise-edition boundaries were not established from an applicable component licence inventory. Public SDK/repository availability is not proof of the whole platform licence. Rechecked 2026-10-26 in Unique AI governance framework: contract access, Terms and Conditions Administration. No current customer MSA, quote, private schedule or gated contract was requested. The differently scoped 2023 sales-conversation ToS remains excluded.", "evidenceIds": [] } ], "limitations": [ "The MIT exception applies to unique_sdk, not every directory or the hosted platform.", "Root reference-code terms are not substituted for customer platform branding, seat or enterprise-edition conditions.", "The 2023 sales-conversation service ToS remains excluded." ], "checkedAt": "2026-10-26", "crossCheckedAt": "2026-10-26", "nextCheckAt": "2026-12-25", "evidenceIds": [ "unique-ai:unique-ai:review2-governance", "unique-ai:unique-ai:review2-terms-admin", "unique-ai:unique-ai:reference-licence-20261026", "unique-ai:unique-ai:unique-licence-v1-20261026", "unique-ai:unique-ai:sdk-licence-20261026", "unique-ai:unique-ai:sdk-package-20261026", "unique-ai:unique-ai:review2-governance-20261026", "unique-ai:unique-ai:review2-terms-admin-20261026" ] } ] }, { "id": "VEN-06", "title": "Data export and exit", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Record admin export of chats, assistants, knowledge bases, prompts and audit logs, formats, export completeness, user self-export, and what survives contract end. Run an admin export on a trial. Exported chats alone do not make assistants and knowledge portable.", "questions": [ { "id": "chat_export", "question": "Can admins export all chats?" }, { "id": "assistant_export", "question": "Can assistants and prompts be exported in a reusable format?" }, { "id": "knowledge_export", "question": "Can knowledge bases and their sources be exported?" }, { "id": "export_format", "question": "Are formats documented and machine-readable?" }, { "id": "post_termination_window", "question": "How long can data be retrieved after termination?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Users can export conversations in machine-readable formats; organization-wide Agent/knowledge exit completeness remains unverified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "chat_export", "question": "Can admins export all chats?", "support": "partial", "answer": "Pinned client code exports a user-selected conversation, including optional branches/options. A documented admin bulk export of every user’s chats was not established.", "evidenceIds": [ "librechat:librechat:export-pin" ] }, { "id": "assistant_export", "question": "Can assistants and prompts be exported in a reusable format?", "support": "partial", "answer": "Beta management APIs expose Agent/Skill objects, but a reusable complete assistant/prompt export fixture was not verified.", "evidenceIds": [ "librechat:librechat:api" ] }, { "id": "knowledge_export", "question": "Can knowledge bases and their sources be exported?", "support": "unknown", "answer": "knowledge_export: Can knowledge bases and their sources be exported? No admin exit fixture, knowledge-source/index portability test or commercial post-termination retrieval window was verified; infrastructure backups are operator-owned.", "evidenceIds": [] }, { "id": "export_format", "question": "Are formats documented and machine-readable?", "support": "supported", "answer": "Conversation export code supports JSON, CSV, Markdown and text. This establishes format availability, not complete organization-data portability.", "evidenceIds": [ "librechat:librechat:export-pin" ] }, { "id": "post_termination_window", "question": "How long can data be retrieved after termination?", "support": "unknown", "answer": "post_termination_window: How long can data be retrieved after termination? No admin exit fixture, knowledge-source/index portability test or commercial post-termination retrieval window was verified; infrastructure backups are operator-owned.", "evidenceIds": [] } ], "limitations": [ "chat_export: Pinned client code exports a user-selected conversation, including optional branches/options. A documented admin bulk export of every user’s chats was not established.", "assistant_export: Beta management APIs expose Agent/Skill objects, but a reusable complete assistant/prompt export fixture was not verified.", "knowledge_export: Can knowledge bases and their sources be exported? No admin exit fixture, knowledge-source/index portability test or commercial post-termination retrieval window was verified; infrastructure backups are operator-owned.", "post_termination_window: How long can data be retrieved after termination? No admin exit fixture, knowledge-source/index portability test or commercial post-termination retrieval window was verified; infrastructure backups are operator-owned." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:export-pin", "librechat:librechat:api" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-06", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Authorised content/report export exists, but full assistant/knowledge portability is unverified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "chat_export", "question": "Can admins export all chats?", "support": "partial", "answer": "Detailed interaction export includes user prompts/answers over a chosen period with privacy settings. Completeness across files, agent state and all historical chats was not tested.", "evidenceIds": [ "unique-ai:unique-ai:analytics" ] }, { "id": "assistant_export", "question": "Can assistants and prompts be exported in a reusable format?", "support": "unknown", "answer": "Can assistants and prompts be exported in a reusable format? Unknown. Reusable assistant/prompt and full knowledge/source exports, complete machine-readable state and current AI termination window remain unverified. No admin export fixture was run.", "evidenceIds": [] }, { "id": "knowledge_export", "question": "Can knowledge bases and their sources be exported?", "support": "unknown", "answer": "Can knowledge bases and their sources be exported? Unknown. Reusable assistant/prompt and full knowledge/source exports, complete machine-readable state and current AI termination window remain unverified. No admin export fixture was run.", "evidenceIds": [] }, { "id": "export_format", "question": "Are formats documented and machine-readable?", "support": "partial", "answer": "Model usage CSV and detailed analytics exports are documented. DPA promises return in existing format, not a universal reusable assistant/knowledge format.", "evidenceIds": [ "unique-ai:unique-ai:cost", "unique-ai:unique-ai:analytics", "unique-ai:unique-ai:dpa" ] }, { "id": "post_termination_window", "question": "How long can data be retrieved after termination?", "support": "partial", "answer": "Baseline ToS 11.4 offers recorded-call download/export on written request within 30 days; that does not establish a chat/assistant/KB exit window. DPA return is within reasonable time.", "evidenceIds": [ "unique-ai:unique-ai:terms", "unique-ai:unique-ai:dpa" ] } ], "limitations": [ "Reusable assistant/prompt and full knowledge/source exports, complete machine-readable state and current AI termination window remain unverified. No admin export fixture was run." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:analytics", "unique-ai:unique-ai:cost", "unique-ai:unique-ai:dpa", "unique-ai:unique-ai:terms" ] } ] }, { "id": "VEN-07", "title": "Support and service levels", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Record support channels, languages (German, French, Italian), hours and time zone, local or regional presence, documented response times, uptime SLA and credits, public status page and incident history. Popularity is not a reliability score.", "questions": [ { "id": "support_channels", "question": "Which support channels are available on each plan?" }, { "id": "support_languages", "question": "Is support available in German, French or Italian?" }, { "id": "regional_presence", "question": "Is there a DACH or Swiss entity, team or partner?" }, { "id": "uptime_sla", "question": "Is there an uptime SLA with credits?" }, { "id": "status_page", "question": "Is there a public status page with history?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Public project/community channels are available; a binding business support SLA was not established.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "support_channels", "question": "Which support channels are available on each plan?", "support": "partial", "answer": "Public GitHub issue reporting and community channels are documented; a supported enterprise channel/response-time matrix was not established for MIT self-hosting.", "evidenceIds": [ "librechat:librechat:logging", "librechat:librechat:firstchat" ] }, { "id": "support_languages", "question": "Is support available in German, French or Italian?", "support": "unknown", "answer": "support_languages: Is support available in German, French or Italian? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass.", "evidenceIds": [] }, { "id": "regional_presence", "question": "Is there a DACH or Swiss entity, team or partner?", "support": "unknown", "answer": "regional_presence: Is there a DACH or Swiss entity, team or partner? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass.", "evidenceIds": [] }, { "id": "uptime_sla", "question": "Is there an uptime SLA with credits?", "support": "unknown", "answer": "uptime_sla: Is there an uptime SLA with credits? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass.", "evidenceIds": [] }, { "id": "status_page", "question": "Is there a public status page with history?", "support": "unknown", "answer": "status_page: Is there a public status page with history? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass.", "evidenceIds": [] } ], "limitations": [ "support_channels: Public GitHub issue reporting and community channels are documented; a supported enterprise channel/response-time matrix was not established for MIT self-hosting.", "support_languages: Is support available in German, French or Italian? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass.", "regional_presence: Is there a DACH or Swiss entity, team or partner? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass.", "uptime_sla: Is there an uptime SLA with credits? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass.", "status_page: Is there a public status page with history? No DE/FR/IT support coverage, CH/DACH legal/partner presence, priced uptime credits or product-service incident-history contract was verified in the public docs, site and release pass." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:logging", "librechat:librechat:firstchat" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-07", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Enterprise support and a public multitenant status page are available; response times are contracted.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "support_channels", "question": "Which support channels are available on each plan?", "support": "supported", "answer": "Enterprise email and three-layer dedicated support escalation through customer team, CS and engineering. Hours/responses depend on SLA; extended-hours contract is extra.", "evidenceIds": [ "unique-ai:unique-ai:support" ] }, { "id": "support_languages", "question": "Is support available in German, French or Italian?", "support": "unknown", "answer": "Is support available in German, French or Italian? Unknown. Guaranteed DE/FR/IT support, numeric hours/response times, dedicated uptime/credits and complete incident-history export were not established.", "evidenceIds": [] }, { "id": "regional_presence", "question": "Is there a DACH or Swiss entity, team or partner?", "support": "supported", "answer": "Unique AI AG lists Zürich, Unique Germany GmbH Berlin, plus UK/US/Singapore entities.", "evidenceIds": [ "unique-ai:unique-ai:contact" ] }, { "id": "uptime_sla", "question": "Is there an uptime SLA with credits?", "support": "partial", "answer": "Support docs defer hours and response times to SLA contract; no public uptime/credit schedule was obtained. Baseline terms only promise commercially reasonable availability efforts.", "evidenceIds": [ "unique-ai:unique-ai:support", "unique-ai:unique-ai:terms" ] }, { "id": "status_page", "question": "Is there a public status page with history?", "support": "supported", "answer": "status.prod.unique.app publicly shows component/uptime history. Support docs scope it to multitenant accounts, not every dedicated environment.", "evidenceIds": [ "unique-ai:unique-ai:support", "unique-ai:unique-ai:status" ] } ], "limitations": [ "Guaranteed DE/FR/IT support, numeric hours/response times, dedicated uptime/credits and complete incident-history export were not established." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:support", "unique-ai:unique-ai:contact", "unique-ai:unique-ai:terms", "unique-ai:unique-ai:status" ] } ] }, { "id": "VEN-08", "title": "Onboarding, training and adoption", "group": { "id": 7, "name": "Commercials and vendor" }, "judgment": "Record vendor-led onboarding, admin training, end-user training (live, e-learning, languages), use-case libraries, champion programmes, change-management materials and their cost. Distinguish included services from paid professional services and partner offerings.", "questions": [ { "id": "onboarding_service", "question": "Is guided onboarding included?" }, { "id": "user_training", "question": "Is end-user training offered, in which languages?" }, { "id": "use_case_library", "question": "Are role-based use cases and templates provided?" }, { "id": "adoption_programme", "question": "Is there a champion or adoption programme?" }, { "id": "service_cost", "question": "Which services cost extra?" } ], "products": [ { "productId": "librechat", "claimId": "librechat:VEN-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "Self-hosting and Agent use have public setup guides; vendor-led training/adoption packages were not verified.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "self-hosted-web" ], "version": "Public documentation retrieved 2026-10-21; inspected source v0.8.8 / e8f3be08623663d4ad7f7241e693c94469b63bb0", "plan": "MIT customer-operated LibreChat; optional separately deployed services identified per answer", "addOns": [], "deploymentMode": "on-premise", "region": "Customer-selected infrastructure; model, OCR, search, observability and support services separately scoped", "os": [], "surfaces": [ { "id": "self-hosted-web", "name": "Customer-operated web application and server", "type": "self-hosted-server" } ] }, "questions": [ { "id": "onboarding_service", "question": "Is guided onboarding included?", "support": "unknown", "answer": "onboarding_service: Is guided onboarding included? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site.", "evidenceIds": [] }, { "id": "user_training", "question": "Is end-user training offered, in which languages?", "support": "unknown", "answer": "user_training: Is end-user training offered, in which languages? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site.", "evidenceIds": [] }, { "id": "use_case_library", "question": "Are role-based use cases and templates provided?", "support": "partial", "answer": "The Agent and setup guides include examples and tutorials; a role-based enterprise training/use-case program was not established.", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:firstchat" ] }, { "id": "adoption_programme", "question": "Is there a champion or adoption programme?", "support": "unknown", "answer": "adoption_programme: Is there a champion or adoption programme? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site.", "evidenceIds": [] }, { "id": "service_cost", "question": "Which services cost extra?", "support": "unknown", "answer": "service_cost: Which services cost extra? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site.", "evidenceIds": [] } ], "limitations": [ "onboarding_service: Is guided onboarding included? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site.", "user_training: Is end-user training offered, in which languages? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site.", "use_case_library: The Agent and setup guides include examples and tutorials; a role-based enterprise training/use-case program was not established.", "adoption_programme: Is there a champion or adoption programme? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site.", "service_cost: Which services cost extra? No included guided rollout, local-language end-user training, champion programme, change-management service or professional-service price list was established from the official documentation and site." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "librechat:librechat:agents", "librechat:librechat:firstchat" ] }, { "productId": "unique-ai", "claimId": "unique-ai:VEN-08", "verificationStatus": "agent-cross-checked", "support": "partial", "answer": "The vendor markets forward-deployed delivery and structured training; inclusion and cost remain unpriced.", "availability": "generally-available", "delivery": "native", "scope": { "surfaceIds": [ "web" ], "version": null, "plan": "Contracted Unique AI platform and enabled modules. No public named tariff tiers were established; deployment and provider entitlements vary by MSA.", "addOns": [], "deploymentMode": null, "region": "CH/EU/US/UK/APAC per deployment; inference and external tools require separate region configuration", "os": [], "surfaces": [ { "id": "web", "name": "Unique AI Chat and administration", "type": "web" } ] }, "questions": [ { "id": "onboarding_service", "question": "Is guided onboarding included?", "support": "partial", "answer": "Homepage markets embedded forward-deployed experts helping business/IT ship use cases; exact licence-included rollout scope is contracted.", "evidenceIds": [ "unique-ai:unique-ai:homepage" ] }, { "id": "user_training", "question": "Is end-user training offered, in which languages?", "support": "partial", "answer": "Vendor homepage describes structured programmes teaching users to use/build/scale; current languages and course entitlement are not specified.", "evidenceIds": [ "unique-ai:unique-ai:homepage" ] }, { "id": "use_case_library", "question": "Are role-based use cases and templates provided?", "support": "supported", "answer": "Public documentation has finance-role workflows, Chat/Conduct guidance, configurable Suggested Prompts and agent examples.", "evidenceIds": [ "unique-ai:unique-ai:platform", "unique-ai:unique-ai:agent", "unique-ai:unique-ai:conduct" ] }, { "id": "adoption_programme", "question": "Is there a champion or adoption programme?", "support": "unknown", "answer": "Is there a champion or adoption programme? Unknown. Champion/adoption programme structure, training languages, included versus professional-service fees and onboarding hours are not published.", "evidenceIds": [] }, { "id": "service_cost", "question": "Which services cost extra?", "support": "unknown", "answer": "Which services cost extra? Unknown. Champion/adoption programme structure, training languages, included versus professional-service fees and onboarding hours are not published.", "evidenceIds": [] } ], "limitations": [ "Champion/adoption programme structure, training languages, included versus professional-service fees and onboarding hours are not published." ], "checkedAt": "2026-10-21", "crossCheckedAt": "2026-10-21", "nextCheckAt": "2026-12-20", "evidenceIds": [ "unique-ai:unique-ai:platform", "unique-ai:unique-ai:homepage", "unique-ai:unique-ai:agent", "unique-ai:unique-ai:conduct" ] } ] } ], "sources": [ { "id": "librechat:librechat:custom", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/quick_start/custom_endpoints", "title": "Custom endpoints", "locator": "Endpoint setup; API key; base URL; model list", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Operators configure compatible endpoints and customer-held keys, including local and hosted services." }, { "id": "librechat:librechat:azure", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/ai_endpoints/azure", "title": "Azure OpenAI configuration", "locator": "Deployment groups; API credentials", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Azure OpenAI uses customer deployment groups, instance names and credentials." }, { "id": "librechat:librechat:bedrock", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/aws_bedrock", "title": "AWS Bedrock object structure", "locator": "Region; credentials; model selection", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Bedrock routes use customer AWS configuration and region selection." }, { "id": "librechat:librechat:vertex", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/anthropic_vertex", "title": "Anthropic Vertex AI configuration", "locator": "Project and region configuration", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Claude can run through customer Google Vertex AI credentials and regions." }, { "id": "librechat:librechat:modelspec", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/model_specs", "title": "Model specifications", "locator": "enforce; preset; modelSelect; addedEndpoints", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Administrators can enforce configured model presets and defaults; available endpoints still depend on customer credentials." }, { "id": "librechat:librechat:agents", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/agents", "title": "Agents", "locator": "Builder; Capabilities; Version history; Sharing; Activity; tool approval", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Agents combine instructions, models, files, tools, skills and sharing permissions, with visible execution and configurable approval." }, { "id": "librechat:librechat:ocr", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/ocr", "title": "OCR for documents", "locator": "File Context; Upload as Text; Optional OCR; Limitations", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "OCR can augment text extraction, or files can be sent to compatible provider APIs; format and model limitations remain." }, { "id": "librechat:librechat:releases", "productId": "librechat", "kind": "documented", "url": "https://github.com/LibreChat-AI/LibreChat/releases/tag/v0.8.8", "title": "LibreChat v0.8.8 release", "locator": "Highlights, 2026-10-01", "sourceDate": "2026-10-01", "retrievedAt": "2026-10-21", "finding": "The stable release documents agent controls, current model updates and explicitly experimental schedules/workspaces and beta Agents API." }, { "id": "unique-ai:unique-ai:models", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/models-llm-management/how-we-evaluate-models/llm-availability-overview", "title": "Unique LLM availability overview", "locator": "Per-client availability; Azure/LiteLLM/Phoeniqs matrices; Recent changes", "sourceDate": "2026-10-12", "retrievedAt": "2026-10-21", "finding": "Lists contract-dependent provider/model availability, region SKUs, dated additions and retirements; CH Phoeniqs remains QA-only." }, { "id": "unique-ai:unique-ai:agent", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/create-spaces/unique-ai-space", "title": "Unique AI space configuration", "locator": "Models; sources/tools; sharing; publishing", "sourceDate": "2026-06-18", "retrievedAt": "2026-10-21", "finding": "Documents admin instructions, configured model/tools, knowledge binding, prompts and people/group Can chat/Can manage access." }, { "id": "unique-ai:unique-ai:conduct", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/spaces/unique-ai-conduct", "title": "Unique AI Conduct", "locator": "GA release 2026.40; execution UI; limitations", "sourceDate": "2026-09-30", "retrievedAt": "2026-10-21", "finding": "Documents autonomous Python/Bash work, visible steps, approvals and stop, with per-chat files and restricted egress." }, { "id": "unique-ai:unique-ai:release42", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/release-notes-and-calendar/release-notes-2026/release-2026-42", "title": "Unique release 2026.42", "locator": "Release Overview; Chat Platform; RAG; Unique AI; Language Model", "sourceDate": "2026-10-14", "retrievedAt": "2026-10-21", "finding": "Hosted release 14 October 2026 makes chat sharing and Context Memory GA, labels Scheduled Tasks experimental, changes protected-file ingestion and documents current model additions/migrations." }, { "id": "librechat:librechat:firstchat", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/quick_start/first_chat", "title": "Your first chat", "locator": "Software you host yourself; endpoint credentials; public demo", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "LibreChat ships without a model key; the public demo is for evaluation rather than private or durable data." }, { "id": "librechat:librechat:code", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/code_interpreter", "title": "Code Interpreter API", "locator": "Setup; self-hosted service; workspace permissions; generated files", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "A separate code execution service supports multiple languages and downloadable generated files; stateful/attached modes are experimental." }, { "id": "librechat:librechat:license", "productId": "librechat", "kind": "documented", "url": "https://raw.githubusercontent.com/LibreChat-AI/LibreChat/e8f3be08623663d4ad7f7241e693c94469b63bb0/LICENSE", "title": "LibreChat v0.8.8 MIT licence", "locator": "LICENSE, permission grant and notice requirement", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The pinned repository is MIT licensed with copyright/permission notice preservation and an as-is disclaimer." }, { "id": "unique-ai:unique-ai:customllm", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/custom-models-and-embeddings/connect-custom-lxm-llm-with-unique-ai", "title": "Custom LXM connection", "locator": "Technical insight; Create and Connect; Security", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Documents operator-created external model endpoints, API/OAuth credentials and model groups." }, { "id": "unique-ai:unique-ai:code", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/tools/code-execution", "title": "Code Execution", "locator": "Compatibility; output; limitations; governance", "sourceDate": "2026-07-30", "retrievedAt": "2026-10-21", "finding": "Documents Azure Responses API Python execution, downloadable outputs, no outbound internet and model/file restrictions." }, { "id": "unique-ai:unique-ai:compliance", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/security-and-compliance/compliance/compliance-layer-3-0", "title": "Compliance Layer 3.0", "locator": "Legal framework; FSI amendments; deployment feature matrix", "sourceDate": "2026-05-27", "retrievedAt": "2026-10-21", "finding": "Describes FINMA/bank-secrecy/CH-DPA Microsoft amendments and deployment-specific assurance limitations." }, { "id": "librechat:librechat:ragcfg", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/rag_api", "title": "RAG API configuration", "locator": "Embedding providers; lite image; full image", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "OpenAI, Hugging Face and Ollama embedding configurations are documented; image choice affects local embedding support." }, { "id": "unique-ai:unique-ai:embeddings", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/custom-models-and-embeddings/usage-or-change-of-custom-embedding-model", "title": "Custom embedding models", "locator": "Setup; configuration; re-embedding", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Documents custom embedding endpoints, one model per organisation and mandatory re-embedding after model/dimension changes." }, { "id": "unique-ai:unique-ai:onpremsecurity", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/install-unique/on-premise-tenant/security-architecture-on-premises", "title": "On-premises security architecture", "locator": "Overview; custom setup", "sourceDate": "2026-05-08", "retrievedAt": "2026-10-21", "finding": "Documents full customer control and possible operation without Unique access, with customer models/infrastructure." }, { "id": "unique-ai:unique-ai:operators", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators", "title": "IT operator documentation overview", "locator": "Supported deployment models", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Describes dedicated Unique-managed, customer-cloud and full air-gapped on-premise modes." }, { "id": "unique-ai:unique-ai:review2-code", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/tools/code-execution", "title": "Code Execution", "locator": "Functionality; Limitations; All available models; Security & Governance; additionalUploadedDocuments", "sourceDate": "2026-07-30", "retrievedAt": "2026-10-21", "finding": "The page allows selected Knowledge Base files to be preloaded with additionalUploadedDocuments. Its compatibility list includes Azure and LiteLLM OpenAI Responses-capable IDs despite Azure-only introduction/limitations. Azure sandbox controls are not proof of the LiteLLM execution region." }, { "id": "unique-ai:unique-ai:review2-models", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/models-llm-management/how-we-evaluate-models/llm-availability-overview", "title": "Unique LLM availability overview", "locator": "Provider and region matrices; Phoeniqs Model Service; recent changes", "sourceDate": "2026-10-12", "retrievedAt": "2026-10-21", "finding": "The model catalogue separates provider routes, region/SKU choices and QA-only Swiss Phoeniqs. It is a technical availability inventory, not a complete legal subprocessor schedule." }, { "id": "librechat:librechat:access", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/access_control", "title": "Granular access control", "locator": "Feature permissions; Resource ACLs; System grants; Groups", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Roles, groups and resource ACLs govern features and sharing, with Entra groups synchronized at sign-in." }, { "id": "librechat:librechat:admin", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/admin_panel", "title": "LibreChat Admin Panel", "locator": "Status Preview; separate service; admin APIs", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "A separate browser management panel is available for testing and uses the underlying LibreChat admin APIs." }, { "id": "librechat:librechat:balance", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/balance", "title": "Balance configuration", "locator": "enabled; startBalance; refill configuration", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Optional token-credit balances initialize and refill user credits; tracking is disabled by default." }, { "id": "librechat:librechat:mod", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/mod_system", "title": "Automated moderation", "locator": "Violation scoring and limits", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Moderation scores abusive login/registration/message activity and may ban users; it is not a documented content DLP classifier." }, { "id": "librechat:librechat:balance-pin", "productId": "librechat", "kind": "source-inspected", "url": "https://raw.githubusercontent.com/LibreChat-AI/LibreChat/e8f3be08623663d4ad7f7241e693c94469b63bb0/packages/api/src/middleware/checkBalance.ts", "title": "LibreChat balance admission implementation", "locator": "packages/api/src/middleware/checkBalance.ts, checkBalance", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The pinned middleware reserves user credits and throws a TOKEN_BALANCE error when the reservation cannot be admitted.", "commit": "e8f3be08623663d4ad7f7241e693c94469b63bb0", "path": "packages/api/src/middleware/checkBalance.ts" }, { "id": "unique-ai:unique-ai:cost", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/models-llm-management/model-usage-and-cost-management", "title": "Model usage and cost management", "locator": "Beta flags; daily limits; cost calculation; CSV", "sourceDate": "2026-07-21", "retrievedAt": "2026-10-21", "finding": "Documents off-by-default estimated usage dashboards and enforced daily company/group/user model-call limits." }, { "id": "librechat:librechat:rag", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/rag_api", "title": "RAG API", "locator": "Architecture; document indexing; embeddings; semantic search", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "A separate RAG API indexes uploaded content in PostgreSQL/PGVector for retrieval." }, { "id": "librechat:librechat:text", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/upload_as_text", "title": "Upload files as text", "locator": "Full text extraction and context", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Text upload injects extracted file content rather than relying only on vector retrieval." }, { "id": "librechat:librechat:filecfg", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/file_config", "title": "File configuration", "locator": "File limits; MIME patterns; provider routes", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "File limits and formats are configurable by endpoint and file processing route." }, { "id": "librechat:librechat:r4-spreadsheet-parser", "productId": "librechat", "kind": "source-inspected", "url": "https://github.com/LibreChat-AI/LibreChat/blob/a378657583567310c841d652b0f6b00c83e2bd6b/packages/api/src/files/documents/crud.ts", "title": "LibreChat spreadsheet text parser", "locator": "getParserForMimeType; excelSheetToText, lines 109-129", "sourceDate": "2026-10-24", "retrievedAt": "2026-10-26", "finding": "The built-in parser accepts XLSX/XLS/ODS and serializes each sheet as its name followed by CSV values. It does not establish preserved workbook layout, recalculated formulas or fixture accuracy.", "commit": "a378657583567310c841d652b0f6b00c83e2bd6b", "path": "packages/api/src/files/documents/crud.ts" }, { "id": "librechat:librechat:r4-text-current", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/upload_as_text", "title": "LibreChat current Upload as Text guide", "locator": "Built-in parser; supported documents; truncation", "sourceDate": null, "retrievedAt": "2026-10-26", "finding": "The development guide lists XLSX/XLS/ODS parsing up to 15 MB and token-bounded text injection, not a formatted spreadsheet editor." }, { "id": "unique-ai:unique-ai:files", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/upload-chat-file-limits-how-large-documents-are-handled", "title": "Upload and Chat limits", "locator": "Production limits; retrieval; expiry", "sourceDate": "2026-06-28", "retrievedAt": "2026-10-21", "finding": "Specifies 512 MB/file, 30 files/batch, default forced retrieval for selected uploads and configurable expiry." }, { "id": "unique-ai:unique-ai:filetypes", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/supported-file-types", "title": "Supported file types", "locator": "Types; exceptions; ingestion quality", "sourceDate": "2026-05-09", "retrievedAt": "2026-10-21", "finding": "Lists common Office/PDF/text formats and general ingestion limitations that differ from the newer chat-specific limits." }, { "id": "unique-ai:unique-ai:file-ingestion-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/knowledge-base-for-admins/file-ingestion", "title": "Unique file ingestion administration", "locator": "Ingestion overview capability table; Enable MDI; Enable MDI for Upload in Chat", "sourceDate": null, "retrievedAt": "2026-10-26", "finding": "Base ingestion lacks scanned-PDF OCR. MDI supports image-based PDFs; Docling has partial support. MDI must be provisioned and enabled per folder or chat Space, and the guide distinguishes experimental image-content extraction and deprecated agentic ingestion." }, { "id": "librechat:librechat:projects", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/projects", "title": "Projects", "locator": "Availability; personal scope; files and instructions", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Projects persist files and instructions across a user’s chats but cannot be shared or transferred." }, { "id": "unique-ai:unique-ai:kbpermissions", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/knowledge-base-for-admins/folder-scope-access-permissions", "title": "Knowledge scope permissions", "locator": "Scopes; source integration limits", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Describes query filtering by user/group scopes, but older SharePoint permission statements differ from the newer connector guide." }, { "id": "librechat:librechat:sharepoint", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/sharepoint", "title": "SharePoint and OneDrive integration", "locator": "Prerequisites; delegated permissions; admin consent", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The Microsoft file picker uses Entra token reuse and delegated on-behalf-of downloads to attach files." }, { "id": "librechat:librechat:mcp", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/mcp", "title": "MCP", "locator": "YAML/UI setup; authentication; ownership and selection", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "MCP servers can be configured through YAML or the permission-gated UI, including per-user OAuth." }, { "id": "librechat:librechat:mcpcfg", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/mcp_servers", "title": "MCP server configuration", "locator": "Transport examples; headers; OAuth", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Configuration includes stdio, SSE and Streamable HTTP transports and server-specific credentials." }, { "id": "unique-ai:unique-ai:sharepoint", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/integrations-connectors/sharepoint-connector", "title": "SharePoint connector", "locator": "Modes; permission sync; limitations", "sourceDate": "2026-07-06", "retrievedAt": "2026-10-21", "finding": "Documents periodic indexed sync, optional content-and-permissions mode, site selection and absent label-level detection." }, { "id": "unique-ai:unique-ai:confluence", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/integrations-connectors/confluence-connector", "title": "Confluence connector", "locator": "Requirements; sync; limitations", "sourceDate": "2026-06-28", "retrievedAt": "2026-10-21", "finding": "Documents Cloud/Data Center content sync without source-permission synchronisation." }, { "id": "unique-ai:unique-ai:platform-overview-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/platform-overview", "title": "Unique platform overview", "locator": "Connectors and Knowledge Sources diagram", "sourceDate": null, "retrievedAt": "2026-10-26", "finding": "The platform architecture names Google Drive and Salesforce among knowledge sources, alongside SharePoint/OneDrive, Confluence and Teams/Outlook. It does not provide per-connector consent, rollout or price entitlements." }, { "id": "unique-ai:unique-ai:release40-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/release-notes-and-calendar/release-notes-2026/release-2026-40", "title": "Unique release 2026.40", "locator": "Hosted September 30 2026; Chat Experience, GA HTML connector dashboards", "sourceDate": "2026-09-30", "retrievedAt": "2026-10-26", "finding": "GA HTML dashboards can list, enable and sign in to MCP connectors, with Salesforce and Yahoo Finance named examples. Contract/module enablement and personal connection state still apply." }, { "id": "unique-ai:unique-ai:permissioncache", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/access-management-for-admins/cache-permission-sla", "title": "Permission cache timing", "locator": "Expected timing; degraded scenarios", "sourceDate": "2026-09-22", "retrievedAt": "2026-10-21", "finding": "Describes usual subsecond internal permission propagation without a hard upper bound, and stale rules after a missed broadcast." }, { "id": "librechat:librechat:compose-pin", "productId": "librechat", "kind": "source-inspected", "url": "https://raw.githubusercontent.com/LibreChat-AI/LibreChat/e8f3be08623663d4ad7f7241e693c94469b63bb0/docker-compose.yml", "title": "LibreChat Docker service configuration", "locator": "docker-compose.yml, api/mongodb/vectordb/rag_api services", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The pinned example runs a MongoDB primary store and a separate PGVector/RAG service with customer-mounted data.", "commit": "e8f3be08623663d4ad7f7241e693c94469b63bb0", "path": "docker-compose.yml" }, { "id": "unique-ai:unique-ai:keys", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/install-unique/single-tenant/security-architecture-single-tenant/key-management", "title": "Single-tenant key management", "locator": "Big picture; BYOK/CYOK/HYOK; storage locations", "sourceDate": "2026-05-27", "retrievedAt": "2026-10-21", "finding": "Explains why client-held keys are unavailable across all Single Tenant data stores and directs full key control to self-hosting." }, { "id": "unique-ai:unique-ai:retention", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/security-and-compliance/data-protection/data-retention-and-data-deletion-at-unique", "title": "Retention and deletion at Unique", "locator": "Hosted-only scope; Azure provider retention; deletion; encryption", "sourceDate": "2026-05-04", "retrievedAt": "2026-10-21", "finding": "Documents no training, Azure abuse-monitoring opt-out, post-termination retention and backup exceptions." }, { "id": "librechat:librechat:memory", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/memory", "title": "User memory", "locator": "Key/value store; controls; disabled by default", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Configured user memory stores cross-chat key/value context with user editing controls; it does not index all past chats." }, { "id": "unique-ai:unique-ai:memory", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/spaces/unique-ai-chat/context-memory-in-unique-ai-chat", "title": "Context Memory in Unique AI Chat", "locator": "Private profile; edit and disable; web-search restriction", "sourceDate": "2026-09-15", "retrievedAt": "2026-10-21", "finding": "Documents private per-user cross-chat memory, edit/disable controls and an explicit warning that disabling does not delete the stored profile." }, { "id": "unique-ai:unique-ai:chat", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/spaces/unique-ai-chat", "title": "Unique AI Chat", "locator": "Features and access", "sourceDate": "2026-09-03", "retrievedAt": "2026-10-21", "finding": "Describes the user chat workspace and configurable tools." }, { "id": "unique-ai:unique-ai:roles", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/identity-and-access-management-iam/access-role-concept", "title": "Access role concept", "locator": "Four access layers", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Defines identity, application, space and knowledge-scope permissions, including delegated management roles." }, { "id": "librechat:librechat:images", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/image_gen", "title": "Image generation and editing", "locator": "OpenAI Image Tools; provider setup; admin configuration", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Agents can use configured image tools for generation/editing; provider credentials and model parameters are separate." }, { "id": "unique-ai:unique-ai:mcp", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/tools/mcp-tools", "title": "MCP tools for spaces", "locator": "Beta warning; flags; selective tool enablement", "sourceDate": "2026-05-21", "retrievedAt": "2026-10-21", "finding": "Describes feature-flagged beta MCP clients with organisation and per-space connector/tool controls." }, { "id": "unique-ai:unique-ai:hub", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/mcp/the-mcp-hub/govern/security-governance", "title": "MCP Hub security governance", "locator": "Authentication; governance; planned request pipeline", "sourceDate": "2026-08-26", "retrievedAt": "2026-10-21", "finding": "Documents per-user token routing, approved origin restrictions and tool-call correlation; some DLP/elicitation pipeline measures are planned." }, { "id": "unique-ai:unique-ai:deepresearch", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/tools/deep-research", "title": "Deep Research tool", "locator": "Experimental warning; engines; user flow", "sourceDate": "2026-05-09", "retrievedAt": "2026-10-21", "finding": "Documents experimental research/report engine, with separate external OpenAI-engine data flows and limited current tools." }, { "id": "librechat:librechat:web", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/web_search", "title": "Web search", "locator": "Provider, scraper and reranker configuration", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Search can use Serper, SearXNG, Tavily or Keenable, with independently configured scraping and optional reranking." }, { "id": "unique-ai:unique-ai:websearch", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/tools/web-search", "title": "Web Search tool", "locator": "Modes; engines; external-query warning", "sourceDate": "2026-05-20", "retrievedAt": "2026-10-21", "finding": "Documents multiple search engines, source citations and experimental query review/screening; conversation context may leave through queries." }, { "id": "librechat:librechat:schedule", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/scheduled_chats", "title": "Scheduled Chats", "locator": "Experimental and disabled by default; runtime and permissions", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Opt-in experimental schedules execute saved Agents with cron/time zones and recheck access and balance before running." }, { "id": "librechat:librechat:api", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/agents_api", "title": "Agents API beta", "locator": "Inference; management; Agent Events; authentication", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The beta API exposes chat/Responses inference, Agent/Skill management and authenticated event delivery." }, { "id": "unique-ai:unique-ai:sdk", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/developers/software-development-kit-sdk", "title": "Python SDK documentation", "locator": "Public API; webhook verification; personal/app keys", "sourceDate": "2026-05-08", "retrievedAt": "2026-10-21", "finding": "Documents SDK/public API access and customer-operated modules with event-driven webhook integration." }, { "id": "unique-ai:unique-ai:scheduled", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/scheduled-tasks", "title": "Scheduled Tasks", "locator": "Beta warning; task settings; runs and limits", "sourceDate": "2026-10-12", "retrievedAt": "2026-10-21", "finding": "Documents off-by-default recurring tasks running with user permissions; unattended approvals/questions can stop a run." }, { "id": "unique-ai:unique-ai:review2-scheduled", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/scheduled-tasks", "title": "Scheduled Tasks", "locator": "At a glance; task Approval setting; unattended runs", "sourceDate": "2026-10-12", "retrievedAt": "2026-10-21", "finding": "Scheduled Chat/Conduct tasks offer Automatic or Manual approval. The newer release labels scheduling Experimental and feature-flagged; unattended automatic approval is not mandatory human confirmation." }, { "id": "unique-ai:unique-ai:review2-release42", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/release-notes-and-calendar/release-notes-2026/release-2026-42", "title": "Unique release 2026.42", "locator": "Highlights; Chat Platform; Conduct scheduling flag", "sourceDate": "2026-10-14", "retrievedAt": "2026-10-21", "finding": "Release 2026.42 makes Shared Chats GA, on by default per company with a per-Space toggle and preservation of explicit settings. Scheduled Tasks remain Experimental and feature-flagged." }, { "id": "unique-ai:unique-ai:mcpkb", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/integrations-connectors/knowledge-base-mcp/knowledge-base-mcp-user-guide", "title": "Knowledge Base MCP user guide", "locator": "Connecting; access; limitations", "sourceDate": "2026-10-05", "retrievedAt": "2026-10-21", "finding": "Documents external-assistant search/read with user permissions, citations and optional KB scope restrictions." }, { "id": "unique-ai:unique-ai:api-usage", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/api-model-usage-tracking", "title": "API model usage tracking", "locator": "Coverage; flags; limitations", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Documents public API/SDK model-call usage tracking; some other internal-service calls are outside scope and REST usage retrieval is planned." }, { "id": "librechat:librechat:retention", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/temporary_chat", "title": "Temporary chat and data retention", "locator": "Default 30-day temporary retention; all/ephemeral; deadlines; memories", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Operators configure expiry for chats/messages/files/shared links; normal chats do not expire by default and memories are excluded." }, { "id": "librechat:librechat:insights", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/insights", "title": "Admin Insights", "locator": "Opt-in; capabilities; metrics; tenant scope", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Insights reports persisted MongoDB activity and identifiable recent conversations; it is not monetary billing analytics." }, { "id": "librechat:librechat:local", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/local/docker", "title": "Docker installation", "locator": "Installation; configuration; updating", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Docker self-installation runs LibreChat with its configured service dependencies." }, { "id": "unique-ai:unique-ai:translation", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/create-spaces/translator-space", "title": "Translator space", "locator": "Beta; glossary; document types; limitations", "sourceDate": "2026-05-06", "retrievedAt": "2026-10-21", "finding": "Documents beta Office-file/text translation with glossary pre/postprocessing and potential layout disruption." }, { "id": "librechat:librechat:speech", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/speech", "title": "Speech configuration", "locator": "Speech-to-text and text-to-speech engines", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Administrators configure audio provider engines and models separately from text generation." }, { "id": "librechat:librechat:speech-conversation-r2", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/stt_tts", "title": "LibreChat conversation-mode speech settings", "locator": "Speech Tab: conversationMode, autoTranscribeAudio, autoSendText, automaticPlayback; engine and allowedAddresses settings", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Conversation mode chains transcription, auto-send and TTS playback for hands-free turns after microphone activation; engines and audio routing are separately configured." }, { "id": "unique-ai:unique-ai:voice", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/space-management/voice-administration", "title": "Voice administration", "locator": "Dependencies; networking; limitations", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Requires Azure AI Speech Services and describes potential public/backbone audio routing." }, { "id": "unique-ai:unique-ai:dpa", "productId": "unique-ai", "kind": "documented", "url": "https://www.unique.ai/data-processing-addendum", "title": "Unique data processing addendum", "locator": "Sections 2-3, 6-7; Appendices A-B; July 2025 footer", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Public DPA covers hosted chat/recordings, lists Microsoft, Swiss storage, return/deletion, confidentiality and ten-year audit-log retention." }, { "id": "unique-ai:unique-ai:voice-user", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/users/spaces/using-voice", "title": "Using Voice", "locator": "Prompt dictation; privacy note; supported languages", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Documents prompt dictation with EN/DE/FR/IT, immediate audio discard and dialect/recognition limitations." }, { "id": "librechat:librechat:artifacts", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/artifacts", "title": "Artifacts", "locator": "React, HTML and Mermaid previews", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Artifacts render generated React, HTML and Mermaid content in the chat interface." }, { "id": "librechat:librechat:share", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/shareable_links", "title": "Shareable links", "locator": "Authentication defaults; file snapshots; continuation", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Shared links publish a transcript branch and optional file snapshots independently of the owner’s live file ACL." }, { "id": "librechat:librechat:i18n-pin", "productId": "librechat", "kind": "source-inspected", "url": "https://raw.githubusercontent.com/LibreChat-AI/LibreChat/e8f3be08623663d4ad7f7241e693c94469b63bb0/client/src/locales/i18n.ts", "title": "LibreChat locale registration", "locator": "client/src/locales/i18n.ts, language resources", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The pinned client registers English, German, French and Italian translations among its supported locales.", "commit": "e8f3be08623663d4ad7f7241e693c94469b63bb0", "path": "client/src/locales/i18n.ts" }, { "id": "librechat:librechat:auth", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/authentication", "title": "Authentication system", "locator": "Required two-factor authentication; Registration; User scripts", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Local/LDAP accounts can be required to use TOTP; federated MFA belongs to the identity provider and account creation/deletion scripts are documented." }, { "id": "librechat:librechat:openid", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/authentication/OAuth2-OIDC", "title": "OAuth2 and OIDC", "locator": "Supported providers; setup", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "LibreChat documents OAuth2/OIDC providers including Microsoft Entra, Google, Keycloak and Auth0." }, { "id": "librechat:librechat:saml", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/authentication/SAML", "title": "SAML authentication", "locator": "Overview and requirements", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "SAML is a documented authentication option for the self-hosted application." }, { "id": "librechat:librechat:entra", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/authentication/OAuth2-OIDC/azure", "title": "Azure Entra authentication", "locator": "Group claims; token reuse; Microsoft Graph integration", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Entra OIDC supports group-based admission and Graph integration using configured scopes and token reuse." }, { "id": "unique-ai:unique-ai:sso", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/identity-and-access-management-iam/how-to-setup-single-sign-on-sso", "title": "Single sign-on setup", "locator": "Entra ID OIDC; SAML; managed-tenant setup", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Documents Zitadel SSO across deployment types, group claims and automatic SAML account creation/update." }, { "id": "unique-ai:unique-ai:scim", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/identity-and-access-management-iam/user-and-group-provisioning/scim-system-for-cross-domain-identity-management", "title": "SCIM provisioning", "locator": "Prerequisites and Entra setup", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Documents Unique SCIM endpoint/key for IdP user/group synchronisation." }, { "id": "librechat:librechat:tokens", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/token_usage", "title": "Token usage", "locator": "Context cost; transactions; per-endpoint token rates", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Usage and estimated costs use recorded tokens and configured provider rates; transactions are distinct from balance enforcement." }, { "id": "unique-ai:unique-ai:analytics", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/administrators/insights-measurement/analytics-interface/analytics", "title": "Analytics interface", "locator": "Reports; anonymisation; detailed interactions", "sourceDate": "2026-09-03", "retrievedAt": "2026-10-21", "finding": "Documents adoption reports, detailed chat/model/tool exports and randomised or stable pseudonymous identifiers." }, { "id": "librechat:librechat:logging", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/logging", "title": "Logging", "locator": "Error/debug logs; rotation; external tools", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Backend operational logs are written to customer files and can feed external tools; the guide describes 14-day rotation rather than a compliance archive." }, { "id": "unique-ai:unique-ai:audit", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/security-and-data-privacy/audit-logs", "title": "Audit logs", "locator": "Scope; exclusions; default basic mode; retention and export", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Defines privileged API event logging with self-service exclusions, deployment-specific retention and request-based export." }, { "id": "unique-ai:unique-ai:security-export", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/integrations-connectors/security-events-export-see", "title": "Security Events Export", "locator": "Availability; delivered events; retention; cost", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Documents Single-Tenant-only Azure Activity/Defender Event Hub export with seven-day replay, client-region selection and consumption cost." }, { "id": "unique-ai:unique-ai:review2-audit", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/security-and-data-privacy/audit-logs", "title": "Audit logs", "locator": "About audit logs; modes; Single and Multi Tenant Clients", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "API audit-event guide specifies basic/verbose modes and MT 90-day/ST five-year operational retention. It does not reconcile those event classes to DPA audit logs or a customer-specific contractual override." }, { "id": "unique-ai:unique-ai:review2-dpa", "productId": "unique-ai", "kind": "documented", "url": "https://www.unique.ai/data-processing-addendum", "title": "Unique data processing addendum", "locator": "Sections 3.15 and 6.1; Appendix A; July 2025 footer", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The public July 2025 DPA specifies ten-year audit logs and CH storage, while Appendix A lists Microsoft and a client-chosen location. No signed current provider schedule, retention override or contract-precedence mapping was inspected." }, { "id": "unique-ai:unique-ai:review2-retention", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/security-and-compliance/data-protection/data-retention-and-data-deletion-at-unique", "title": "Retention and deletion at Unique", "locator": "Purpose; Data retention; Deletion after termination; Backups; Encryption in Place", "sourceDate": "2026-05-04", "retrievedAt": "2026-10-21", "finding": "Hosted-only policy separates ordinary post-termination content retention, recoverable files and backups and permits contract customisation. Its log/key statements are not reconciled to audit-event/DPA/key-management scopes." }, { "id": "librechat:librechat:r4-content-filter", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/message_filter", "title": "LibreChat development content-filter configuration", "locator": "Source-Aware Filters; Pattern Configuration; Redaction; File Fields", "sourceDate": null, "retrievedAt": "2026-10-26", "finding": "Opt-in base-YAML policies inspect selected message/file content; block and audit differ from limited Agent text redaction. This is development documentation, not a hosted DLP assurance." }, { "id": "librechat:librechat:r4-pii-runtime", "productId": "librechat", "kind": "source-inspected", "url": "https://github.com/LibreChat-AI/LibreChat/blob/a378657583567310c841d652b0f6b00c83e2bd6b/packages/api/src/protection/runtime.ts", "title": "LibreChat content-inspection runtime", "locator": "createConfiguredContentInspector; source rule configuration", "sourceDate": "2026-10-24", "retrievedAt": "2026-10-26", "finding": "Source-aware configured inspection executes in the LibreChat API. Missing policy disables that scope; configured actions and fields bound inspection.", "commit": "a378657583567310c841d652b0f6b00c83e2bd6b", "path": "packages/api/src/protection/runtime.ts" }, { "id": "librechat:librechat:r4-patterns", "productId": "librechat", "kind": "source-inspected", "url": "https://github.com/LibreChat-AI/LibreChat/blob/a378657583567310c841d652b0f6b00c83e2bd6b/packages/api/src/protection/detectors/pattern.ts", "title": "LibreChat pattern detector", "locator": "STARTER_PATTERNS; configured RE2JS rules", "sourceDate": "2026-10-24", "retrievedAt": "2026-10-26", "finding": "Default starter patterns detect credential-shaped tokens/headers. Operator custom patterns use bounded regular expressions; a generic comprehensive PII classifier is not established.", "commit": "a378657583567310c841d652b0f6b00c83e2bd6b", "path": "packages/api/src/protection/detectors/pattern.ts" }, { "id": "librechat:librechat:r4-private-submission", "productId": "librechat", "kind": "source-inspected", "url": "https://github.com/LibreChat-AI/LibreChat/blob/a378657583567310c841d652b0f6b00c83e2bd6b/packages/api/src/protection/private/submission.ts", "title": "LibreChat private text submission", "locator": "createPrivateTextIngress; fresh Agent text and clientRequestId checks", "sourceDate": "2026-10-24", "retrievedAt": "2026-10-26", "finding": "The private text ingress permits configured redaction only on eligible fresh interactive Agent text. Original content is encrypted; edit/resume/file paths do not gain blanket redaction.", "commit": "a378657583567310c841d652b0f6b00c83e2bd6b", "path": "packages/api/src/protection/private/submission.ts" }, { "id": "librechat:librechat:r4-filter-middleware", "productId": "librechat", "kind": "source-inspected", "url": "https://github.com/LibreChat-AI/LibreChat/blob/a378657583567310c841d652b0f6b00c83e2bd6b/packages/api/src/middleware/messageFilterPii.ts", "title": "LibreChat API content-filter middleware", "locator": "createMessageFilterPii; contentFilterBlockResponse; uninspectable response", "sourceDate": "2026-10-24", "retrievedAt": "2026-10-26", "finding": "The server middleware applies configured inspection and rejects blocked/uninspectable requests with HTTP 400. No deployment or detection fixture was run.", "commit": "a378657583567310c841d652b0f6b00c83e2bd6b", "path": "packages/api/src/middleware/messageFilterPii.ts" }, { "id": "librechat:librechat:r4-config-1318", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/changelog/config_v1.3.18", "title": "LibreChat config v1.3.18 changelog", "locator": "October 22, 2026; opt-in PII redaction; retention mode", "sourceDate": "2026-10-22", "retrievedAt": "2026-10-26", "finding": "Dated development config changes add limited Agent text redaction and ephemeral retention mode. These are not a promise of universal redaction or a vendor zero-retention contract." }, { "id": "unique-ai:unique-ai:dlp", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/security-and-data-privacy/data-leakage-prevention-dlp", "title": "Data leakage prevention integration", "locator": "Proxy; analytics API; compatibility", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Describes customer-operated HTTPS/DLP proxy and post-chat analytics scanning rather than a default native PII-redaction feature." }, { "id": "librechat:librechat:interface", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/configuration/librechat_yaml/object_structure/interface", "title": "Interface configuration", "locator": "Feature permissions; custom welcome and terms", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Administrators configure UI feature permissions and usage terms in the self-hosted deployment." }, { "id": "unique-ai:unique-ai:single", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/install-unique/single-tenant/security-architecture-single-tenant", "title": "Single-tenant security architecture", "locator": "Azure resources; SSO; encryption; monitoring", "sourceDate": "2026-05-28", "retrievedAt": "2026-10-21", "finding": "Documents separate Azure landing zone, network restrictions, retention and Unique-managed infrastructure keys." }, { "id": "unique-ai:unique-ai:policy", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/security-and-data-privacy/terms-and-conditions-administration", "title": "Terms and conditions administration", "locator": "First-login acceptance; MSA condition; API export", "sourceDate": "2026-05-07", "retrievedAt": "2026-10-21", "finding": "Documents first-login acceptance, custom terms under an MSA and version/agreement export through GraphQL." }, { "id": "librechat:librechat:remote", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/remote", "title": "Remote hosting", "locator": "Hosting options; security considerations", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The application can be deployed on customer-selected remote servers with operator-managed security." }, { "id": "unique-ai:unique-ai:review2-keys", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/install-unique/single-tenant/security-architecture-single-tenant/key-management", "title": "Single-tenant key management", "locator": "Infrastructure-only scope; PMK; BYOK/CYOK/HYOK; Summary", "sourceDate": "2026-05-27", "retrievedAt": "2026-10-21", "finding": "May 2026 key guide distinguishes imported customer-generated keys held by Unique from customer-exclusive key control via self-hosting. Its MT/ST CMK statement differs from the hosted retention page; actual MT configuration is unverified." }, { "id": "unique-ai:unique-ai:review2-single", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/install-unique/single-tenant/security-architecture-single-tenant", "title": "Single-tenant security architecture", "locator": "Overview; Encryption; Data classification", "sourceDate": "2026-05-28", "retrievedAt": "2026-10-21", "finding": "Single-tenant guide documents separate landing zone, WAF/IP controls and Unique-managed encryption. Its 2048-bit RSA-HSM description differs from the hosted retention page; this does not establish an exact current key design." }, { "id": "unique-ai:unique-ai:review2-compliance", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/security-and-compliance/compliance/compliance-layer-3-0", "title": "Compliance Layer 3.0", "locator": "Digital Sovereignty; Feature overview matrix", "sourceDate": "2026-05-27", "retrievedAt": "2026-10-21", "finding": "The deployment matrix documents CH North multitenant hosting and selectable single/client-hosted regions, with deployment-specific controls. These are options, not proof of a particular customer contract or current key configuration." }, { "id": "librechat:librechat:demo", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/demo/terms", "title": "LibreChat Demo terms", "locator": "Evaluation scope; retention; disclaimer", "sourceDate": "2026-03-12", "retrievedAt": "2026-10-21", "finding": "The free hosted Demo is offered as-is with possible data cleanups and no durable business-service guarantee." }, { "id": "unique-ai:unique-ai:install", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/installing-and-upgrading-unique/install-unique", "title": "Unique installation models", "locator": "Overview", "sourceDate": "2025-08-06", "retrievedAt": "2026-10-21", "finding": "Enumerates multi-tenant, single-tenant, customer-managed and on-premise deployments." }, { "id": "unique-ai:unique-ai:terms", "productId": "unique-ai", "kind": "documented", "url": "https://www.unique.ai/terms-of-service", "title": "Unique terms of service", "locator": "Sections 1-2, 4-6, 11, 17-18", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Describes a sales-conversation service with Order Form subscription fees, nonrenewal notice, recording export and proprietary rights; applicability to the current AI MSA needs confirmation." }, { "id": "librechat:librechat:settings", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/docs/features/settings", "title": "Personal settings", "locator": "Language; speech; data controls", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Users configure interface language, audio and personal data controls." }, { "id": "unique-ai:unique-ai:redaction", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/security-and-data-privacy/data-redaction", "title": "Chat data redaction and retention", "locator": "What is cleared; exclusions; administrator settings", "sourceDate": "2026-10-18", "retrievedAt": "2026-10-21", "finding": "Documents scheduled clearing of chat content and workspace records, with separate upload/KB retention rules." }, { "id": "librechat:librechat:owner", "productId": "librechat", "kind": "documented", "url": "https://clickhouse.com/blog/clickhouse-acquires-librechat", "title": "ClickHouse acquisition of LibreChat", "locator": "Announcement, November 4, 2025", "sourceDate": "2025-11-04", "retrievedAt": "2026-10-21", "finding": "ClickHouse announced the acquisition of LibreChat and that Danny Avila and the team joined ClickHouse." }, { "id": "unique-ai:unique-ai:contact", "productId": "unique-ai", "kind": "documented", "url": "https://www.unique.ai/contact-us", "title": "Unique AI contact", "locator": "Office addresses", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Lists Unique AI AG in Zürich, Unique Germany GmbH in Berlin and other regional entities." }, { "id": "unique-ai:unique-ai:review2-governance", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/security-and-compliance/ai-governance-framework", "title": "Unique AI governance framework: contract access", "locator": "Individual standards; Legal contracts; End-User Terms and Conditions", "sourceDate": "2026-04-12", "retrievedAt": "2026-10-21", "finding": "The current governance framework says legal contracts and end-user T&Cs are available on request; the public page does not expose platform subscription or component licence clauses." }, { "id": "unique-ai:unique-ai:trust", "productId": "unique-ai", "kind": "vendor-claimed", "url": "https://www.unique.ai/trust-center", "title": "Unique AI trust centre", "locator": "Enterprise security; compliance standards; FAQ", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Describes CH Azure storage separately from globally routed inference and claims ISO/SOC assurances, with differing SOC types in the FAQ." }, { "id": "unique-ai:unique-ai:iso42001", "productId": "unique-ai", "kind": "certificate-verified", "url": "https://www.unique.ai/hubfs/ISO%2042001_Unique_EN_2025.pdf", "title": "Unique ISO/IEC 42001 certificate", "locator": "One page; registration 99 420 00001; scope and dates", "sourceDate": "2025-03-07", "retrievedAt": "2026-10-21", "finding": "TÜV SÜD certificate covers development/deployment SaaS for financial services using pretrained foundation models or client-provided models, valid to 6 March 2028.", "issuer": "TÜV SÜD South Asia Private Limited", "certificateScope": "Unique AG, Stockerstr.34, Zurich. Development and deployment of SaaS for financial-services clients based on pretrained AI foundation models using Azure OpenAI or client-provided models, including client on-premise models.", "validFrom": "2025-03-07", "validUntil": "2028-03-06", "registryUrl": null }, { "id": "unique-ai:unique-ai:review2-iso-docs", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/security-and-compliance/compliance/certifications/iso-certifications", "title": "ISO Certifications and current downloads", "locator": "Certificate ISO27001; ISO9001; ISO42001; Statement of Applicability", "sourceDate": "2026-08-05", "retrievedAt": "2026-10-21", "finding": "The ISO documentation links 2026 English/German ATTESTA ISO27001 and ISO9001 renewals, plus the 2025 ISO42001 certificate; ISO27001 SoA requires an NDA." }, { "id": "unique-ai:unique-ai:review2-iso27001", "productId": "unique-ai", "kind": "certificate-verified", "url": "https://unique-ch.atlassian.net/wiki/rest/api/content/1384809423/child/attachment/att2423750716/download", "title": "Unique AG ISO27001 ATTESTA 2026 renewal", "locator": "One-page 2026 English certificate; scope, registration, surveillance, printed expiry", "sourceDate": "2026-06-10", "retrievedAt": "2026-10-21", "finding": "Inspected ATTESTA ISO27001:2022 renewal for Unique AG, registration 223-06-018.I, issued 10 June 2026 after 4 June surveillance, valid until 31 May 2029. The certificate-linked public register lists the same number and expiry.", "issuer": "ATTESTA Schweizer Zertifizierungsgesellschaft AG", "certificateScope": "Unique AG, Stockerstrasse 34, 8002 Zürich: development, operation, trading and distribution of software and provision of IT/information-technology services; ISO27001:2022 information security management", "validFrom": null, "validUntil": "2029-05-31", "registryUrl": "https://www.ic-register.com/?qry=Unique&handler=Process" }, { "id": "unique-ai:unique-ai:review2-iso9001", "productId": "unique-ai", "kind": "certificate-verified", "url": "https://unique-ch.atlassian.net/wiki/rest/api/content/1384809423/child/attachment/att2423750710/download", "title": "Unique AG ISO9001 ATTESTA 2026 renewal", "locator": "One-page 2026 English certificate; scope, registration, surveillance, printed expiry", "sourceDate": "2026-06-10", "retrievedAt": "2026-10-21", "finding": "Inspected ATTESTA ISO9001:2015 renewal for Unique AG, registration 223-06-017.Q, issued 10 June 2026 after 4 June surveillance, valid until 31 May 2029. The certificate-linked public register lists the same number and expiry.", "issuer": "ATTESTA Schweizer Zertifizierungsgesellschaft AG", "certificateScope": "Unique AG, Stockerstrasse 34, 8002 Zürich: development, operation, trading and distribution of software and provision of IT/information-technology services; ISO9001:2015 quality management", "validFrom": null, "validUntil": "2029-05-31", "registryUrl": "https://www.ic-register.com/?qry=Unique&handler=Process" }, { "id": "unique-ai:unique-ai:review2-iso-register", "productId": "unique-ai", "kind": "documented", "url": "https://www.ic-register.com/?qry=Unique&handler=Process", "title": "Certificate-linked public register: Unique AG", "locator": "Unique AG result rows; registration, scope, expiry", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Public certificate-linked register lookup for Unique AG lists registrations 223-06-018.I and 223-06-017.Q, Zurich, software/IT scope and expiry 31 May 2029. Standard/status text fields are blank; certificate PDFs supply the standards." }, { "id": "unique-ai:unique-ai:review2-soc", "productId": "unique-ai", "kind": "vendor-claimed", "url": "https://docs.unique.ai/security-and-compliance/compliance/certifications/soc-2-type-2", "title": "SOC2 Type2: chronology and report access", "locator": "SOC2 Type2 timeline; Certificates/report access", "sourceDate": "2026-04-12", "retrievedAt": "2026-10-21", "finding": "The dedicated SOC page explains Type1 in December 2023 followed by Type2 in January 2025; audit report and certificate are available only on request after NDA. Auditor, service scope and actual reporting period were not publicly inspected." }, { "id": "librechat:librechat:siteprivacy", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/privacy", "title": "LibreChat website privacy policy", "locator": "Scope and exclusions", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Website, demo and self-hosted software are distinct privacy scopes; website terms do not establish a customer deployment DPA." }, { "id": "librechat:librechat:secrecy-message-pin", "productId": "librechat", "kind": "source-inspected", "url": "https://raw.githubusercontent.com/LibreChat-AI/LibreChat/e8f3be08623663d4ad7f7241e693c94469b63bb0/packages/data-schemas/src/schema/message.ts", "title": "LibreChat v0.8.8 message storage schema", "locator": "packages/data-schemas/src/schema/message.ts, text at lines 55-58 and content at lines 139-143", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The pinned Mongoose schema declares message text as a String and content as mixed fields; this source does not establish operator exclusion from live content.", "commit": "e8f3be08623663d4ad7f7241e693c94469b63bb0", "path": "packages/data-schemas/src/schema/message.ts" }, { "id": "librechat:librechat:secrecy-demo-policy", "productId": "librechat", "kind": "documented", "url": "https://www.librechat.ai/demo/privacy", "title": "LibreChat Demo privacy policy", "locator": "Scope; section 4 Third-Party AI Model Providers; section 6 Data Sharing and Sub-Processors", "sourceDate": "2026-03-12", "retrievedAt": "2026-10-21", "finding": "The Demo policy describes model-provider transmission and contractual processor instruction/security duties for the Demo; it does not cover a customer self-hosted deployment." }, { "id": "unique-ai:unique-ai:review2-terms-admin", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/security-and-data-privacy/terms-and-conditions-administration", "title": "Terms and Conditions Administration", "locator": "Overview; MSA exceptions; Modifying/Exporting Terms and Conditions", "sourceDate": "2026-05-08", "retrievedAt": "2026-10-21", "finding": "Current platform T&C administration refers to a customer MSA and gated admin export; it does not publish the vendor platform agreement or determine subscription/IP/branding clauses." }, { "id": "librechat:librechat:cost-vm", "productId": "librechat", "kind": "documented", "url": "https://prices.azure.com/api/retail/prices?currencyCode=EUR&%24filter=armRegionName+eq+%27switzerlandnorth%27+and+serviceName+eq+%27Virtual+Machines%27+and+%28armSkuName+eq+%27Standard_D4s_v5%27+or+armSkuName+eq+%27Standard_D8s_v5%27+or+armSkuName+eq+%27Standard_D16s_v5%27%29+and+priceType+eq+%27Consumption%27", "title": "Azure Retail Prices, Switzerland North Linux VMs", "locator": "Consumption; Virtual Machines Dsv5 Series; Standard_D4s_v5/D8s_v5/D16s_v5", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "EUR hourly PAYG rates retrieved 2026-10-21 are 0.2226, 0.4453 and 0.8905 for D4s, D8s and D16s v5 respectively." }, { "id": "librechat:librechat:cost-pg", "productId": "librechat", "kind": "documented", "url": "https://prices.azure.com/api/retail/prices?currencyCode=EUR&%24filter=armRegionName+eq+%27switzerlandnorth%27+and+serviceName+eq+%27Azure+Database+for+PostgreSQL%27+and+priceType+eq+%27Consumption%27", "title": "Azure Retail Prices, PostgreSQL Flexible Server", "locator": "General Purpose Ddsv5 Series Compute, 2/4/8 vCore; Flex Server Storage", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "EUR hourly PAYG GP compute is 0.2288, 0.4576 and 0.9152 for 2/4/8 vCore; storage is EUR 0.1325 per GB-month." }, { "id": "librechat:librechat:cost-fx", "productId": "librechat", "kind": "documented", "url": "https://www.ecb.europa.eu/stats/eurofxref/eurofxref-hist.xml", "title": "ECB euro reference rate history", "locator": "Cube time=2026-10-20; USD and CHF", "sourceDate": "2026-10-20", "retrievedAt": "2026-10-21", "finding": "The 2026-10-20 reference rates are EUR 1 = USD 1.1215 and CHF 0.9237." }, { "id": "librechat:librechat:cost-model", "productId": "librechat", "kind": "documented", "url": "https://developers.openai.com/api/docs/pricing", "title": "OpenAI API pricing", "locator": "Standard, short-context gpt-6-luna row", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Standard gpt-6-luna API price is USD 0.10 per million input tokens and USD 0.50 per million output tokens; caching, batch and regional premiums are separate." }, { "id": "librechat:librechat:cost-effort", "productId": "librechat", "kind": "documented", "url": "https://developers.openai.com/api/docs/models/gpt-6-luna", "title": "GPT-6 Luna model documentation", "locator": "Reasoning effort and text-token pricing", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The model accepts reasoning effort none, the lowest documented effort, and lists the same standard text-token rates." }, { "id": "unique-ai:unique-ai:platform", "productId": "unique-ai", "kind": "vendor-claimed", "url": "https://www.unique.ai/en/platform", "title": "Unique AI platform", "locator": "Frontend, financial agents, MCP Hub; deployment section", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Markets a modular finance platform with governed connectors, frontend, financial agents and APIs." }, { "id": "unique-ai:unique-ai:ecb-fx", "productId": "unique-ai", "kind": "documented", "url": "https://www.ecb.europa.eu/stats/eurofxref/eurofxref-hist.xml", "title": "ECB euro foreign exchange reference rates, 20 October 2026", "locator": "Cube time=\"2026-10-20\": USD and CHF", "sourceDate": "2026-10-20", "retrievedAt": "2026-10-21", "finding": "ECB records EUR 1 = USD 1.1215 and CHF 0.9237 on 20 October 2026; derived USD to EUR is 1/1.1215 and CHF to EUR is 1/0.9237." }, { "id": "unique-ai:unique-ai:review2-governance-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/security-and-compliance/ai-governance-framework", "title": "Unique AI governance framework: contract access", "locator": "Individual standards; Legal contracts; End-User Terms and Conditions", "sourceDate": "2026-04-12", "retrievedAt": "2026-10-26", "finding": "The current governance framework says legal contracts and end-user T&Cs are available on request; the public page does not expose platform subscription or component licence clauses." }, { "id": "unique-ai:unique-ai:reference-licence-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://github.com/Unique-AG/ai/blob/afa596c9b4b0231895ff70f44029a9a525f746e9/LICENSE", "title": "Unique public reference repository licence", "locator": "LICENSE, repository-wide disclaimer and exceptions", "sourceDate": null, "retrievedAt": "2026-10-26", "finding": "The public repository defaults to Unique License v1 unless an explicit licence says otherwise; commercial use, distribution and modifications require prior approval. The default is restricted source-available, not an OSI open-source licence." }, { "id": "unique-ai:unique-ai:unique-licence-v1-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://github.com/Unique-AG/license/releases/tag/unique-license.v1", "title": "Unique License v1", "locator": "Grant, Restrictions, Open Source Components, Governing Law", "sourceDate": "2024-09-24", "retrievedAt": "2026-10-26", "finding": "The published full licence permits personal noncommercial use and requires prior written approval for commercial use, distribution and modification, with separate component-licence exceptions. Swiss law and Zurich venue are specified." }, { "id": "unique-ai:unique-ai:sdk-licence-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://github.com/Unique-AG/ai/blob/afa596c9b4b0231895ff70f44029a9a525f746e9/unique_sdk/LICENSE", "title": "Unique Python SDK MIT licence", "locator": "unique_sdk/LICENSE, explicit component exception", "sourceDate": null, "retrievedAt": "2026-10-26", "finding": "The Python SDK directory has an explicit MIT licence permitting commercial use and modification subject to notice requirements; this exception does not license the hosted platform." }, { "id": "unique-ai:unique-ai:sdk-package-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://github.com/Unique-AG/ai/blob/afa596c9b4b0231895ff70f44029a9a525f746e9/unique_sdk/pyproject.toml", "title": "Unique SDK package metadata", "locator": "project name/version and licence", "sourceDate": null, "retrievedAt": "2026-10-26", "finding": "At the pinned October 23 repository commit, unique_sdk package metadata declares MIT, consistent with its component licence. Repository/package version is not treated as the hosted release date." }, { "id": "unique-ai:unique-ai:review2-terms-admin-20261026", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/it-operators/operations/security-and-data-privacy/terms-and-conditions-administration", "title": "Terms and Conditions Administration", "locator": "Overview; MSA exceptions; Modifying/Exporting Terms and Conditions", "sourceDate": "2026-05-08", "retrievedAt": "2026-10-26", "finding": "Current platform T&C administration refers to a customer MSA and gated admin export; it does not publish the vendor platform agreement or determine subscription/IP/branding clauses." }, { "id": "librechat:librechat:export-pin", "productId": "librechat", "kind": "source-inspected", "url": "https://raw.githubusercontent.com/LibreChat-AI/LibreChat/e8f3be08623663d4ad7f7241e693c94469b63bb0/client/src/hooks/Conversations/useExportConversation.ts", "title": "LibreChat conversation export implementation", "locator": "client/src/hooks/Conversations/useExportConversation.ts, export dispatch", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "The pinned user conversation exporter supports JSON, CSV, Markdown and text, plus screenshot export.", "commit": "e8f3be08623663d4ad7f7241e693c94469b63bb0", "path": "client/src/hooks/Conversations/useExportConversation.ts" }, { "id": "unique-ai:unique-ai:support", "productId": "unique-ai", "kind": "documented", "url": "https://docs.unique.ai/enterprise-support", "title": "Enterprise support", "locator": "Contact; dedicated support model; hours", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Provides public multitenant status link, enterprise email and a contract-specific dedicated support model." }, { "id": "unique-ai:unique-ai:status", "productId": "unique-ai", "kind": "documented", "url": "https://status.prod.unique.app/", "title": "Unique public system status", "locator": "Component and 90-day uptime panels", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Public status page displays service/API/collector components and historical uptime panels; dedicated environments are outside the documented status scope." }, { "id": "unique-ai:unique-ai:homepage", "productId": "unique-ai", "kind": "vendor-claimed", "url": "https://www.unique.ai/", "title": "Unique AI finance platform", "locator": "Forward-Deployed Engineers and training section", "sourceDate": null, "retrievedAt": "2026-10-21", "finding": "Markets embedded experts and structured training programmes for finance users and IT." } ] }