> ## Documentation Index > Fetch the complete documentation index at: https://docs.getoneprofile.ai/llms.txt > Use this file to discover all available pages before exploring further. # Prepare prompt updates from the training session ## OpenAPI ````yaml /openapi.json post /sequences/{sequence_id}/agent/training/{session_id}/finish/ openapi: 3.1.0 info: contact: email: support@getoneprofile.ai name: Oneprofile Support description: >- REST API reference for Oneprofile, the GTM data layer for your CRM. Manage tables, enrichments, and integrations. Authenticate with an API key to get started. termsOfService: https://www.getoneprofile.ai/terms title: API Reference | Oneprofile version: '0.0' servers: - url: https://api.getoneprofile.ai security: [] tags: - description: >- The docked AI Assistant: its general chat about the workspace and the product, streamed as Server-Sent Events, and the one list of a person's threads across every assistant, with pin, rename, delete and the search-to-table link. name: assistant - description: >- The messages a person keeps to send the assistant again: the ones the workspace saved and the ones that ship with the product, with save, rename, edit and delete. name: assistant-prompt - description: >- Granted workspace actions: what the AI Assistant proposed or applied in a conversation, the approve and dismiss decisions on each card, the workspace's approval threshold and default grants, and the eight verbs. name: workspace-actions - description: >- The Getting started checklist: a workspace's progress through the six steps from its first people search to its first launched sequence. name: onboarding - description: Sender profiles, connected mailboxes, tags, and the Google connect flow. name: senders - description: The workspace do-not-contact list, enforced before every send. name: suppression - description: >- The workspace's recontact rule: how long before anyone hears from us again. name: contact_cooldown - description: 'Sequence authoring: the graph, the table-backed audience, previews.' name: sequences - description: >- The outbound agent behind a sequence: the voice it writes in, its per-message prompts, what it wrote and what people told it. name: outbound-agents - description: >- The LinkedIn channel: connecting an account to a sender, its safety limits and history, and the protocol the browser extension speaks. name: linkedin - description: >- The approval queue: everything waiting on a person across every sender and channel, and the workspace's manual or automatic modes per channel. name: outreach - description: 'The unified outreach inbox: threads, replies, labels, events.' name: inbox - description: 'The AI reply layer: workspace settings, drafts, and approval.' name: inbox-ai - description: Notification rules, per-user preferences, and the Slack connection. name: notifications - description: Endpoints for seeing all available integration types. name: integration-types - description: Endpoints for creating and managing integrations. name: integrations - description: Endpoints for the generic OAuth install/claim app-listings engine. name: app-listings - description: Endpoints for creating and managing API keys. name: apikey - description: >- The Model Context Protocol endpoint: use Oneprofile from Claude Code, Claude Desktop, Cursor or any other MCP client, with an API key as the bearer token. name: mcp - description: Endpoints for managing billing and subscription information. name: billing - description: Endpoints for creating and managing tables. name: tables - description: Endpoints for table columns, formula previews, and on-demand column runs. name: table-columns - description: Endpoints for table rows and manual cell edits. name: table-rows - description: Endpoints for observing and cancelling table recompute runs. name: table-runs - description: >- Endpoints for org-shared per-column display preferences: hidden, pinned, width, and colour tint. name: table-ui-prefs - description: >- Endpoints for the org-shared names given to the column tint palette: what this organisation calls each colour. Org-level, not per-table. name: table-column-color-labels - description: >- Endpoints for the enrichment action catalog, model list, presets, draft generation, and saved agents. name: table-enrichments - description: >- Endpoints for teaching a saved agent from example rows: training sessions, per-row feedback, and the proposed prompt to approve. name: agent-training - description: >- The durable audit trail of a table's enrichment actions: configured, edited, run, cancelled, and settled cost. name: table-enrichment-audit-logs - description: Endpoints for saving and applying column templates. name: table-templates - description: Server-sent change feed for a table's grid. name: table-events - description: 'Endpoints for org-shared saved table views: sort, filters, hidden columns.' name: table-views - description: >- Endpoints for PER-USER table preferences: favourites and recently opened. Unlike the rest of the table surface these are personal, so two members of one organisation legitimately see different answers. name: table-user-prefs - description: >- Endpoints for building a table from an uploaded CSV: upload and preview the inferred columns, commit the reviewed mapping, then poll the row load. name: table-imports - description: Endpoint for downloading a table's rows as CSV. name: table-export - description: >- Endpoints for the integration a table imports from: attach and preview it, promote imported fields into columns, and run the import on demand. name: table-sources - description: >- Endpoints for a table's recurring import cadence: set it, pause it, and read the next fire times. name: table-schedules - description: >- Endpoints for pushing a table's rows out to a connected integration: list writable destinations, derive their write capabilities, and map export columns. name: table-writeback - description: >- Endpoints backing a lookup column's setup: the connections whose records a column could read, and the identity fields one record type can be looked up by. name: table-integration-lookup - description: >- Endpoints for sourcing leads from the lead database: count and preview matches, land them in a table, and keep saved searches. Alongside people and company searches, leads can be sourced from buying signals — what a company or person just did — with a catalogue endpoint behind the picker that builds them. name: find-leads - description: >- Endpoints for discovering a domain's subdomains from public certificate logs and landing the results in a table. name: find-subdomains - description: Endpoints for the credit balance meter and usage reporting. name: credits - description: >- Endpoints for the workspace referral program: the shareable link, the friends who joined through it, and claiming a code after signup. name: referral - description: >- Endpoints for the affiliate program's own dashboard: enrolling and claiming a code, the summary, stats and activity feed, the commission ledger, and identity verification and payouts. name: affiliate - description: >- Endpoints for the design partner program's customer surface: whether this workspace is a design partner, the badges its feedback has earned, and sending and reading that feedback. name: design-partner - description: >- Endpoints for the org-level AI business context — company description, ideal customer profile, buyer personas, interest signals and social proof — plus domain-based generation and the reference documents whose summaries ride alongside those fields. name: ai-context - description: >- Endpoints for the signed-in user's Google Drive connection: starting and finishing the OAuth grant, checking or dropping it, and minting the short-lived token the Google Picker needs. name: google-drive paths: /sequences/{sequence_id}/agent/training/{session_id}/finish/: post: tags: - sequences summary: Prepare prompt updates from the training session operationId: finish_sequence_training parameters: - in: path name: sequence_id required: true schema: format: uuid title: Sequence Id type: string - in: path name: session_id required: true schema: format: uuid title: Session Id type: string requestBody: content: application/json: schema: $ref: '#/components/schemas/SequenceTrainingActionSchema' required: true responses: '202': content: application/json: schema: $ref: '#/components/schemas/SequenceTrainingReadSchema' description: Successful Response '401': content: application/json: schema: $ref: '#/components/schemas/UnauthorizedResponse' description: Unauthorized '403': content: application/json: schema: $ref: '#/components/schemas/ForbiddenResponse' description: Forbidden '404': description: Sequence, audience contact, or session not found '409': description: Sequence, agent, or training revision changed '422': description: Invalid selection, feedback, or training action '500': content: application/json: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Internal server error. '502': content: application/json: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Bad gateway error. '503': content: application/json: schema: $ref: '#/components/schemas/ServerErrorResponse' description: Service unavailable. security: - APIKeyHeader: [] - HTTPBearer: [] components: schemas: SequenceTrainingActionSchema: properties: expected_revision: minimum: 1 title: Expected Revision type: integer required: - expected_revision title: SequenceTrainingActionSchema type: object SequenceTrainingReadSchema: properties: agent_id: format: uuid title: Agent Id type: string applied_version: anyOf: - type: integer - type: 'null' title: Applied Version base_version: title: Base Version type: integer contacts: items: $ref: '#/components/schemas/SequenceTrainingContactReadSchema' title: Contacts type: array created_at: format: date-time title: Created At type: string error: anyOf: - type: string - type: 'null' title: Error id: format: uuid title: Id type: string proposal: anyOf: - $ref: '#/components/schemas/ContactTrainingProposal' - type: 'null' revision: title: Revision type: integer status: $ref: '#/components/schemas/ContactTrainingStatus' steps: items: $ref: '#/components/schemas/AiStep' title: Steps type: array required: - id - agent_id - status - revision - base_version - contacts - proposal - error - applied_version - created_at title: SequenceTrainingReadSchema type: object UnauthorizedResponse: properties: detail: description: The detail of why the request is unauthorized. title: Detail type: string required: - detail title: UnauthorizedResponse type: object ForbiddenResponse: properties: detail: description: The detail of why the request is forbidden. title: Detail type: string required: - detail title: ForbiddenResponse type: object ServerErrorResponse: properties: detail: description: The detail of why the server returned an error. title: Detail type: string required: - detail title: ServerErrorResponse type: object SequenceTrainingContactReadSchema: properties: context: additionalProperties: type: string title: Context type: object label: title: Label type: string messages: items: $ref: '#/components/schemas/SequenceTrainingMessageReadSchema' title: Messages type: array note: title: Note type: string record_id: format: uuid title: Record Id type: string verdict: anyOf: - $ref: '#/components/schemas/ContactReviewVerdict' - type: 'null' required: - record_id - label - context - messages - verdict - note title: SequenceTrainingContactReadSchema type: object ContactTrainingProposal: description: The session's candidate prompt update, kept pending until applied. properties: changes: items: $ref: '#/components/schemas/ContactPromptChange' title: Changes type: array summary: title: Summary type: string required: - summary title: ContactTrainingProposal type: object ContactTrainingStatus: description: A session's phase, also used to resume its review screen. enum: - running - reviewing - proposing - proposed - completed - abandoned title: ContactTrainingStatus type: string AiStep: additionalProperties: false description: >- One thing an AI turn did, as the wire spells it. Field-for-field identical to ``table_live_updates.TableCellActivityStepSchema`` ON PURPOSE, and the duplication is the design. That schema sits in the table stratum's kernel, which the lead search, inbox and sequence surfaces have no business importing; this one sits under every surface equally. Because the two agree exactly, the frontend's ``TimelineStep`` renders both with no conversion and no second component, which is the property worth protecting. ``test_ai_step_mirrors_the_cell_activity_step`` pins them together. Plain strings rather than enums, for the same reason the cell schema uses them: the vocabulary is open, clients must tolerate tokens they have not learned yet, and a new action should never be able to break a running dashboard. properties: action: description: >- What kind of move this was, e.g. `read_table`, `plan`, `write_column`. title: Action type: string detail: default: '' description: >- The step's input: the instruction, the column it read, the query it ran. title: Detail type: string duration_ms: anyOf: - type: integer - type: 'null' description: Wall clock for the work this step describes, never an estimate. title: Duration Ms observation: default: '' description: >- One line on what came back. The half that makes a step worth reading. maxLength: 500 title: Observation type: string outcome: default: completed description: >- `completed`, `failed`, `refused` or `stopped`. Clients must tolerate new tokens. title: Outcome type: string thought: anyOf: - type: string - type: 'null' description: >- The model's stated reasoning for choosing this step. Set by the agent loop; the assistant surfaces leave it null, and the renderer simply omits the rung. title: Thought required: - action title: AiStep type: object SequenceTrainingMessageReadSchema: properties: authored: title: Authored type: boolean body: anyOf: - type: string - type: 'null' title: Body conditional: anyOf: - type: string - type: 'null' title: Conditional edited_body: anyOf: - type: string - type: 'null' title: Edited Body edited_subject: anyOf: - type: string - type: 'null' title: Edited Subject error: anyOf: - type: string - type: 'null' title: Error facts_used: items: type: string title: Facts Used type: array id: format: uuid title: Id type: string kind: title: Kind type: string note: title: Note type: string reasoning: anyOf: - type: string - type: 'null' title: Reasoning steps: items: $ref: '#/components/schemas/AiStep' title: Steps type: array subject: anyOf: - type: string - type: 'null' title: Subject timing: title: Timing type: string title: title: Title type: string required: - id - title - timing - kind - authored - conditional - subject - body - error - note - edited_subject - edited_body - reasoning - facts_used - steps title: SequenceTrainingMessageReadSchema type: object ContactReviewVerdict: description: Only an explicit review counts as feedback. enum: - good - bad - skipped title: ContactReviewVerdict type: string ContactPromptChange: description: A coordinated change to one existing prompt slot. properties: current: title: Current type: string proposed: title: Proposed type: string rationale: title: Rationale type: string slot_key: title: Slot Key type: string required: - slot_key - current - proposed - rationale title: ContactPromptChange type: object securitySchemes: APIKeyHeader: in: header name: X-API-Key type: apiKey HTTPBearer: scheme: bearer type: http ````