> ## Documentation Index > Fetch the complete documentation index at: https://docs.clarifeye.ai/llms.txt > Use this file to discover all available pages before exploring further. # Retrieve conversation feedback > List all feedback (including text content) attached to a conversation. This is the only endpoint that returns other users' feedback content on shared conversations — the project-level `/feedbacks/` list stays scoped to the caller's own feedback for non-admins. **Access Control:** - Admins can read feedback of any conversation - Other members can read feedback of their own conversations or of shared conversations - Supports impersonation: visibility is evaluated for the impersonated user ## OpenAPI ````yaml /api-reference/openapi-full.yaml get /projects/{project_id}/playground-conversations/{conversation_id}/retrieve-feedback/ openapi: 3.0.3 info: title: Clarifeye Platform API — Full API Documentation description: > Complete REST API reference for the Clarifeye Platform. Documents every endpoint exposed by the platform — the public surface plus the advanced surface: pipeline customization (extraction flows, pipeline runs, warehouse tables, document tag/metadata configuration), the pre-MCP AI surface (agent settings, playground conversations, conversation-scoped feedback views, notifications), and the impersonation header. New AI integrations should consume knowledge via MCP rather than the conversation/agent-settings endpoints documented here. ## Authentication All endpoints require authentication. Include the Authorization header in every request using either format: - `Authorization: Token ` - `Authorization: Bearer ` ## Organization API Key Authentication The user-provisioning endpoints authenticate with an **org-scoped API key** instead of a user token: - `Authorization: Api-Key ` The key is minted internally by Clarifeye (not self-service) and is scoped to a single organization — it can only act on the organization whose UUID matches the `{id}` in the request path. The email domains a key may pre-create accounts for are configured by Clarifeye on the organization (`allowed_provisioning_domains`). Once you have a key and your domains are set, call `POST /organizations/{id}/provision-user/` to pre-create users and `POST /organizations/{id}/deprovision-user/` to remove them. ## Impersonation Certain endpoints support user impersonation for creating or listing data on behalf of other users. This is useful for integrating external systems that need to attribute actions to specific users. **Header:** `X-Impersonate-Email` **Required Permission:** `CAN_IMPERSONATE_OTHER_USERS` (contact Clarifeye to enable this permission) **Behavior:** - If the header is provided and the impersonator has the required permission, the action is performed as the target user - If the target user is not found, the request proceeds as the original authenticated user - If the target user does not have access to the project, the request proceeds as the original authenticated user - If the impersonator lacks the `CAN_IMPERSONATE_OTHER_USERS` permission, the header is ignored version: 1.0.0 contact: name: Clarifeye Support servers: - url: https://eu.app.clarifeye.ai/api/v1 description: EU - url: https://us.app.clarifeye.ai/api/v1 description: US security: - BearerAuth: [] - TokenAuth: [] tags: - name: Users description: Manage users within a project - name: Invitations description: Manage project invitations - name: Documents description: Manage documents within a project - name: Agent Settings description: Manage AI agent configurations - name: Conversations description: Create and interact with AI-powered conversations - name: Interviews description: Assign and review structured interview conversations - name: Feedback description: >- Submit and review feedback — standalone (content-only), agent-submitted (MCP), or linked to a conversation message - name: Tools description: Execute configured AI tools with custom parameters - name: Tables description: Perform CRUD operations on warehouse tables - name: Notifications description: Manage project-scoped notifications for users - name: Extraction Flows description: >- Manage extraction flows (auto-sync DAGs) — list, run, inspect statistics, update, and publish - name: Object Extractors description: | Extract structured data (instances of a Pydantic model) from chunks or blocks of documents. Update auto-creates a new `ObjectExtractorVersion` when version-bearing fields change. - name: Tag Extractors description: | Apply hierarchical metadata tags to chunks or documents using an LLM. Update auto-creates a new `TagExtractorVersion` when version-bearing fields change. - name: Chunks Extractors description: | Segment parsed documents into chunks for downstream processing. Update auto-creates a new `ChunksExtractorVersion` when version-bearing fields change. - name: Parsing Extractors description: | Convert source documents to text blocks via the parsing pipeline. Update auto-creates a new `ParsingExtractorVersion` when version-bearing fields change. - name: Document Filter Extractors description: | Restrict a downstream pipeline branch to documents matching a filter. Update auto-creates a new version when the filter changes. - name: Chunk Tag Filter Extractors description: | Restrict a downstream pipeline branch to chunks carrying specific tags. Update auto-creates a new version when the filter changes. - name: Document Tag Extractors description: | Apply a flat set of metadata tags to each document. Update auto-creates a new version when version-bearing fields change. - name: Tag Alerts Extractors description: | Run LLM-based alerts over already-extracted tag rows. Update auto-creates a new version when version-bearing fields change. - name: Object Alerts Extractors description: > Run LLM-based alerts over already-extracted object rows. Update auto-creates a new version when version-bearing fields change. - name: Imported Object Extractors description: | Hold objects imported from an external system (rather than extracted by an LLM). Useful for hydrating the warehouse with data produced outside the platform. - name: Pipeline Runs description: >- Inspect pipeline runs queued by extraction flows or other pipeline triggers — list runs and fetch the details/status of a single run - name: User Provisioning description: > Pre-create and de-provision org users via an org-scoped API key (`Authorization: Api-Key `). The organization is resolved from the key. - name: Organization API Keys description: > Superuser management of org-scoped provisioning API keys. Minting and revoking are superuser-only; org admins can list/retrieve/reveal their own org's keys. - name: Design System Templates description: Reference/example files attached to a design template. - name: Artifacts description: | Knowledge-store artifact catalog — list artifacts, create/edit custom artifacts, manage scope membership, read and publish versions, configure the cohesion guide, and export/import the whole catalog. For type-aware reads and edits of artifact content, prefer the `read-write-*-artifact` tool endpoints. paths: /projects/{project_id}/playground-conversations/{conversation_id}/retrieve-feedback/: get: tags: - Conversations summary: Retrieve conversation feedback description: > List all feedback (including text content) attached to a conversation. This is the only endpoint that returns other users' feedback content on shared conversations — the project-level `/feedbacks/` list stays scoped to the caller's own feedback for non-admins. **Access Control:** - Admins can read feedback of any conversation - Other members can read feedback of their own conversations or of shared conversations - Supports impersonation: visibility is evaluated for the impersonated user operationId: retrieveConversationFeedback parameters: - $ref: '#/components/parameters/ProjectId' - $ref: '#/components/parameters/ConversationId' - $ref: '#/components/parameters/ImpersonateEmail' responses: '200': description: Feedback list for the conversation content: application/json: schema: type: array items: $ref: '#/components/schemas/Feedback' '401': $ref: '#/components/responses/Unauthorized' '404': description: Conversation not found or not visible to the caller content: application/json: schema: $ref: '#/components/schemas/Error' components: parameters: ProjectId: name: project_id in: path required: true description: UUID of the project schema: type: string format: uuid ConversationId: name: conversation_id in: path required: true description: UUID of the conversation schema: type: string format: uuid ImpersonateEmail: name: X-Impersonate-Email in: header required: false description: > Email of the user to impersonate. Requires `CAN_IMPERSONATE_OTHER_USERS` permission. If the target user is not found or does not have access to the project, the request proceeds as the authenticated user. Contact Clarifeye to enable this permission. schema: type: string format: email schemas: Feedback: type: object properties: id: type: string format: uuid created_at: type: string format: date-time updated_at: type: string format: date-time given_by: type: object description: User who submitted the feedback properties: id: type: string format: uuid email: type: string format: email status: $ref: '#/components/schemas/FeedbackStatus' feedback: type: string description: Feedback text comment context: type: object additionalProperties: true description: |- Free-form context, echoed back as submitted at creation. Conversation feedback carries conversation_id/query_id/source; MCP interaction feedback carries user_query; direct feedback may carry additional_details. properties: conversation_id: type: string format: uuid deprecated: true description: Use the top-level `conversation` field instead query_id: type: integer description: >- Query ID of the message the feedback is about (conversation feedback) source: type: string description: PlaygroundConversation, MCP, or absent for direct API feedback user_query: type: string description: >- The original user request the agent was answering (MCP interaction feedback) additional_details: type: string description: Extra context provided alongside the feedback (direct feedback) is_positive: type: boolean nullable: true description: | - `true`: Positive feedback - `false`: Negative feedback - `null`: Neutral user_message: type: string description: The user message that was responded to (computed field) conversation_title: type: string description: Title of the conversation (computed field) suggested_action_type: type: string nullable: true description: Auto-generated suggested action type suggested_action_data: type: object description: Auto-generated suggested action data Error: type: object properties: error: type: string description: Error message example: error: User not found FeedbackStatus: type: string enum: - to_review - reviewed description: | - `to_review`: Feedback pending review (default) - `reviewed`: Feedback has been reviewed responses: Unauthorized: description: Unauthorized - missing or invalid authentication content: application/json: schema: $ref: '#/components/schemas/Error' example: error: Authentication credentials were not provided. securitySchemes: BearerAuth: type: http scheme: bearer description: 'Use Authorization: Bearer ' TokenAuth: type: apiKey in: header name: Authorization description: 'Use Authorization: Token ' ````