Chat

Create chat completion

Send a message to GC AI and receive an AI-generated response.

<Note> This endpoint is asynchronous: it returns a job envelope, and the result is filled in once the job completes. See [Asynchronous Requests](https://docs.gc.ai/api-reference/concepts/async-jobs) for how waiting, polling, and the envelope work. </Note>

Multi-turn conversations

Every response includes a chat_id. Pass it back as chat_id on a later request to continue that conversation. Conversation state (prior messages, tool calls, and any returned documents, emails, or diagrams) is held server-side, so each turn sends only the new message (plus any new file_ids); never re-send prior turns or previously returned outputs.

Only one turn may be in flight per chat at a time: a request whose chat_id already has a turn running is rejected with 409. Wait for the prior turn to reach a terminal state before sending the next.

Continuing a chat is scoped like materialization: personal keys continue chats they created; organization keys continue organization chats. See Multi-turn Conversations.

Server-side tools

The model can invoke tools automatically while generating a response. Tool calls happen server-side. Only the final assistant text is returned in result.result.

ToolDescriptionKey type
Document readingRead, query, and search within attached filesAll
Web searchSearch the web for current informationAll
Research agentMulti-step web research with synthesisAll
Case-law lookupSearch case law databasesUser-scoped only
Playbook reviewRun playbook checks against attached files (requires playbook_ids)All
Document editingApply redline edits to an attached DOCX. All proposed revisions are auto-accepted; the edited file is returned via result.documents. The original file is preserved.All
Document generationGenerate a new DOCX from a prompt. The generated file is returned via result.documents.All
Slide generationGenerate a new PowerPoint deck (PPTX) from a prompt. The generated file is returned via result.documents.User-scoped only
Email draftingDraft a structured email from a prompt. The draft is returned via result.emails (to, subject, body, …).All
DiagramsGenerate a diagram from a prompt. The diagram is returned via result.diagrams as validated Mermaid source (mermaid) you can render with any Mermaid-compatible renderer.All
Vault queryQuery documents and fields in an attached Contract Intelligence vault (requires vault_id)All (subject to vault authorization)

The following tools are not available via API (the response is plain text with no channel for rich outputs):

ToolReason unavailable
Interactive clarificationRequires a back-and-forth channel with the caller
<Note> This is an inference endpoint and is [rate limited](https://docs.gc.ai/api-reference/concepts/rate-limits): 60 requests/minute per organization (20 per API key). Exceeding the limit returns `429` with a `Retry-After` header. </Note>
post/chat/completions

Request

Query parameters

waitinteger nullable

Optional long-poll wait time in seconds. Use 0 for fire-and-forget behavior. If both wait and Prefer: wait=... are supplied, they must match. Values above 90 are clamped.

Headers

Preferstring

Optional RFC 7240 wait preference, for example wait=0. If both this header and the wait query parameter are supplied, they must match.

Example:wait=0

Request body

messagestring required

The user's message or prompt

file_idsstring[]

Optional uploaded file IDs to attach as context for this completion. Upload files first via POST /files.

playbook_idsstring[]

Optional playbook IDs to ground the completion in (up to 20). The model uses each playbook's checks and guidance to structure its review of the attached files. Discover playbooks via GET /playbooks.

Org-scoped keys can use org-visible and official playbooks.

playbook_idstring

Deprecated and no longer accepted. Use playbook_ids (an array) instead. Requests that include this field are rejected with a 400 so the playbook is never silently dropped.

skill_idsstring[]

Optional skill IDs to run on the first turn. Each skill's instructions are injected as context for this completion. Discover skills via GET /skills.

Only valid when starting a new chat; omit them when continuing with chat_id.

blocked_toolsstring[]

Optional GC AI actions to leave out of this completion, by tool name. This can only remove actions the user who owns the key allows. It never adds one.

auto_acceptboolean

Set to true to let a safety check approve GC AI actions that would otherwise need a person, one call at a time. It works only when the user who owns the key has turned on the safety check. It never approves actions that delete, share or send. When the check says no, that step is skipped and listed in skipped_steps.

chat_idstring uuid

Optional chat ID to continue an existing conversation, from the chat_id of a prior completion. Omit to start a new chat.

Conversation state is held server-side, so send only your new message (plus any new file_ids); do not re-send prior turns or previously returned documents/emails/diagrams. Only one turn may be in flight per chat at a time. See Multi-turn Conversations.

project_idstring uuid

Optional project to file the chat into. Requires write access to the project. Discover projects via GET /projects.

This does two things: it grounds the completion in the project's files, and it files the chat under that project. Filing alone does not make the chat visible to people, because API chats stay out of chat history until they are materialized. Pass materialize: true (or call POST /chat/{id}/materialize afterwards) for the chat to appear under GET /projects/{id}/chats and in the GC AI web app. See Chat Visibility.

materializeboolean

Surface this chat into chat history as part of the same call, instead of making a second request to POST /chat/{id}/materialize. Defaults to false, which keeps the chat headless.

Set this when a person is meant to open the chat. An organization-scoped key shares the materialized chat with the whole organization, so any member can open it and keep chatting in it. A user-scoped key keeps the chat owned by the caller.

On success the response includes chat_url. If that field is absent, materialization did not happen and the chat is still headless; retry with POST /chat/{id}/materialize using the returned chat_id. Continuing an already-materialized chat is a no-op. See Chat Visibility.

company_idstring uuid

Optional company profile to ground the completion in, so the model has that company's context (industry, jurisdiction, regulations, risk posture). Discover company profiles via GET /company-profiles.

The company is fixed for the life of a chat. On a new chat, supply this to target a specific company (the only way to ground against a particular one in a multi-company organization); when omitted, a company is auto-resolved: user-scoped keys use the caller's active (default) company, and org-scoped keys use the organization's sole company, or none when there are several.

When continuing a chat with chat_id, omit this to reuse the chat's company. You may echo the same company_id, but a different one is rejected with 409 (start a new chat to use a different company).

vault_idstring uuid

Optional Contract Intelligence vault to ground the completion in, so the model can query that vault's documents and fields. Copy the vault ID from the GC AI web app.

Authorization: User-scoped keys need the Vault Chat permission, Contract Intelligence access, and view access to the vault. Organization-scoped keys need the organization to have Contract Intelligence entitlement; they can attach any vault in the organization because organization keys have no user identity for per-vault access checks.

The vault is fixed for the life of a chat. When continuing with chat_id, omit this to reuse the chat's vault. You may echo the same vault_id, but a different one is rejected with 409 (start a new chat to use a different vault).

When also filing into a project (project_id) that is linked to a vault, vault_id must match that vault. A different one is rejected with 409; omit vault_id to use the project's vault.

Example request

{
  "message": "What are the key terms to look for in a software license agreement?",
  "file_ids": [
    "123e4567-e89b-12d3-a456-426614174000"
  ],
  "playbook_ids": [
    "f9e8d7c6-b5a4-3210-fedc-ba0987654321"
  ],
  "skill_ids": [
    "b2c3d4e5-f6a7-4890-bcde-f12345678901"
  ],
  "blocked_tools": [
    "projects_delete"
  ],
  "chat_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "project_id": "d4c3b2a1-f6e5-0987-dcba-fedcba098765",
  "materialize": true,
  "company_id": "d4c3b2a1-f6e5-0987-dcba-fedcba098765",
  "vault_id": "e5d4c3b2-a1f6-7890-bcde-f1234567890a"
}

Response

Job completed within the effective wait window

job_idstring uuid required

Async job identifier

kind'chat/completions' required

Stable job kind for this endpoint

status'pending' | 'running' | 'succeeded' | 'failed' | 'canceled' required

Current job status

created_atstring required

ISO 8601 creation timestamp

completed_atstring nullable required

ISO 8601 completion timestamp, or null when not terminal

Example response

{
  "result": {
    "result": "When reviewing a software license agreement, key terms to examine include:\n\n1. **License Grant** - Understand the scope of rights granted...",
    "chat_url": "https://app.gc.ai/chat/a1b2c3d4-e5f6-7890-abcd-ef1234567890",
    "judge_approved_steps": [
      "projects_update"
    ],
    "skipped_steps": [
      "projects_create"
    ]
  }
}

Changes

No recorded changes to this operation across all 1 revision of this API.