Files
crewAI/docs/v1.14.0/enterprise-api.base.yaml
Lucas Gomide a237ebabba feat: adopt directory-based docs versioning with Edge channel (#6202)
* feat: adopt directory-based docs versioning with Edge channel

Switch docs.crewai.com from navigation-only versioning (every version
selector entry rendered the same docs/<lang>/* source files) to
Mintlify's directory-based versioning so each version selector entry
renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/*
that always reflects main HEAD for unreleased work, eliminating
pre-release leakage onto frozen release labels. External links to
canonical /<lang>/* URLs are preserved via wildcard redirects that
always land on the current default version.

Layout:
- docs/edge/<lang>/*         rolling source (you edit here)
- docs/edge/enterprise-api.*.yaml
- docs/v<X.Y.Z>/<lang>/*     frozen, immutable snapshots
- docs/v<X.Y.Z>/enterprise-api.*.yaml
- docs/images/               shared, append-only
- docs/docs.json             nav + redirects

URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for
Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard
redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links
working, and every freeze rewrites them (plus all per-section/per-page
redirects) so destinations always resolve to the current default
without depending on a second redirect hop.

Release flow integration (devtools release):
- New module crewai_devtools.docs_versioning.freeze() materialises
  docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the
  snapshot, inserts the version into every language block in
  docs.json, and refreshes all redirect destinations.
- _update_docs_and_create_pr() in cli.py now calls that freeze during
  Phase 2 of devtools release. Edge changelogs are updated first (so
  the snapshot freeze picks them up), then the snapshot is staged
  alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR
  is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z>
  — the title prefix the new CI guard reads.
- The PR still gates tag, GitHub release, PyPI publish, and the
  enterprise release as before; no new PRs are added.
- Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride
  Edge — and the docs PR title omits the [docs-freeze] prefix.
- docs_check (AI-generated docs scaffolding) writes to
  docs/edge/<lang>/* so newly-generated unreleased docs land in Edge
  and never accidentally touch a frozen snapshot.

Migration scripts (one-shot):
- scripts/docs/freeze_historical_versions.py reconstructs all 16
  historical snapshots (v1.10.0 .. v1.14.7) from git tags via
  git archive | tar, rewriting openapi: MDX refs so each snapshot
  reads its own enterprise-api YAML rather than the live one.
- scripts/docs/prefix_version_paths.py one-shot-migrates docs.json:
  rewrites every page path in 16 versioned blocks to point under
  docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags
  v1.14.7 as Latest (default), prunes pages whose target file
  doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before
  v1.12.0), and writes the wildcard + per-section redirects.
- scripts/docs/freeze_current_edge.py is now a thin CLI wrapper
  around docs_versioning.freeze for manual one-off freezes (e.g.
  retroactively snapshotting a forgotten release).

CI guards (.github/workflows/docs-snapshots.yml):
- Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose
  title contains [docs-freeze] (i.e. release-cut PRs generated by
  devtools release or the manual wrapper) may modify them.
- Images under docs/images/ are append-only since snapshots share a
  single image directory. Deleting or renaming an image breaks every
  historical snapshot that still references it.

Restored docs/images/crewai-otel-export.png from PR #3673; it was
deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference
it. Restoring instead of editing the snapshots preserves historical
rendering fidelity and validates the new append-only rule
retroactively.

Tests:
- lib/devtools/tests/test_docs_versioning.py covers the freeze: file
  copy, openapi rewrite, version insertion, default demotion, redirect
  upserts, per-section redirect rewriting, idempotency, and invalid
  inputs.

Verified locally with mintlify broken-links: 0 broken links across
the full site (Edge + 16 frozen versions, 4 locales).

AGENTS.md (repo root) is the contributor guide for the new model;
RELEASING.md is the release-cut runbook; README's Contribution
section links to both.

Co-authored-by: Cursor <cursoragent@cursor.com>

* style: resolve linter issues

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-17 11:56:59 -04:00

571 lines
22 KiB
YAML

openapi: 3.0.3
info:
title: CrewAI AMP API
description: |
REST API for interacting with your deployed CrewAI crews on CrewAI AMP.
## Getting Started
1. **Find your crew URL**: Get your unique crew URL from the CrewAI AMP dashboard
2. **Copy examples**: Use the code examples from each endpoint page as templates
3. **Replace placeholders**: Update URLs and tokens with your actual values
4. **Test with your tools**: Use cURL, Postman, or your preferred API client
## Authentication
All API requests require a bearer token for authentication. There are two types of tokens:
- **Bearer Token**: Organization-level token for full crew operations
- **User Bearer Token**: User-scoped token for individual access with limited permissions
You can find your bearer tokens in the Status tab of your crew's detail page in the CrewAI AMP dashboard.
## Reference Documentation
This documentation provides comprehensive examples for each endpoint:
- **Request formats** with all required and optional parameters
- **Response examples** for success and error scenarios
- **Code samples** in multiple programming languages
- **Authentication patterns** with proper Bearer token usage
Copy the examples and customize them with your actual crew URL and authentication tokens.
## Workflow
1. **Discover inputs** using `GET /inputs`
2. **Start execution** using `POST /kickoff`
3. **Monitor progress** using `GET /{kickoff_id}/status`
version: 1.0.0
contact:
name: CrewAI Support
email: support@crewai.com
url: https://crewai.com
servers:
- url: https://your-actual-crew-name.crewai.com
description: Replace with your actual deployed crew URL from the CrewAI AMP dashboard
- url: https://my-travel-crew.crewai.com
description: Example travel planning crew (replace with your URL)
- url: https://content-creation-crew.crewai.com
description: Example content creation crew (replace with your URL)
- url: https://research-assistant-crew.crewai.com
description: Example research assistant crew (replace with your URL)
security:
- BearerAuth: []
paths:
/inputs:
get:
summary: Get Required Inputs
description: |
**📋 Reference Example Only** - *This shows the request format. To test with your actual crew, copy the cURL example and replace the URL + token with your real values.*
Retrieves the list of all required input parameters that your crew expects for execution.
Use this endpoint to discover what inputs you need to provide when starting a crew execution.
operationId: getRequiredInputs
responses:
"200":
description: Successfully retrieved required inputs
content:
application/json:
schema:
type: object
properties:
inputs:
type: array
items:
type: string
description: Array of required input parameter names
example: ["budget", "interests", "duration", "age"]
examples:
travel_crew:
summary: Travel planning crew inputs
value:
inputs: ["budget", "interests", "duration", "age"]
outreach_crew:
summary: Outreach crew inputs
value:
inputs:
[
"name",
"title",
"company",
"industry",
"our_product",
"linkedin_url",
]
"401":
$ref: "#/components/responses/UnauthorizedError"
"404":
$ref: "#/components/responses/NotFoundError"
"500":
$ref: "#/components/responses/ServerError"
/kickoff:
post:
summary: Start Crew Execution
description: |
**📋 Reference Example Only** - *This shows the request format. To test with your actual crew, copy the cURL example and replace the URL + token with your real values.*
Initiates a new crew execution with the provided inputs. Returns a kickoff ID that can be used
to track the execution progress and retrieve results.
Crew executions can take anywhere from seconds to minutes depending on their complexity.
Consider using webhooks for real-time notifications or implement polling with the status endpoint.
operationId: startCrewExecution
requestBody:
required: true
content:
application/json:
schema:
type: object
required:
- inputs
properties:
inputs:
type: object
description: Key-value pairs of all required inputs for your crew
additionalProperties:
type: string
example:
budget: "1000 USD"
interests: "games, tech, ai, relaxing hikes, amazing food"
duration: "7 days"
age: "35"
meta:
type: object
description: Additional metadata to pass to the crew
additionalProperties: true
example:
requestId: "user-request-12345"
source: "mobile-app"
taskWebhookUrl:
type: string
format: uri
description: Callback URL executed after each task completion
example: "https://your-server.com/webhooks/task"
stepWebhookUrl:
type: string
format: uri
description: Callback URL executed after each agent thought/action
example: "https://your-server.com/webhooks/step"
crewWebhookUrl:
type: string
format: uri
description: Callback URL executed when the crew execution completes
example: "https://your-server.com/webhooks/crew"
examples:
travel_planning:
summary: Travel planning crew
value:
inputs:
budget: "1000 USD"
interests: "games, tech, ai, relaxing hikes, amazing food"
duration: "7 days"
age: "35"
meta:
requestId: "travel-req-123"
source: "web-app"
outreach_campaign:
summary: Outreach crew with webhooks
value:
inputs:
name: "John Smith"
title: "CTO"
company: "TechCorp"
industry: "Software"
our_product: "AI Development Platform"
linkedin_url: "https://linkedin.com/in/johnsmith"
taskWebhookUrl: "https://api.example.com/webhooks/task"
crewWebhookUrl: "https://api.example.com/webhooks/crew"
responses:
"200":
description: Crew execution started successfully
content:
application/json:
schema:
type: object
properties:
kickoff_id:
type: string
format: uuid
description: Unique identifier for tracking this execution
example: "abcd1234-5678-90ef-ghij-klmnopqrstuv"
"400":
description: Invalid request body or missing required inputs
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
"401":
$ref: "#/components/responses/UnauthorizedError"
"422":
description: Validation error - ensure all required inputs are provided
content:
application/json:
schema:
$ref: "#/components/schemas/ValidationError"
"500":
$ref: "#/components/responses/ServerError"
/{kickoff_id}/status:
get:
summary: Get Execution Status
description: |
**📋 Reference Example Only** - *This shows the request format. To test with your actual crew, copy the cURL example and replace the URL + token with your real values.*
Retrieves the current status and results of a crew execution using its kickoff ID.
The response structure varies depending on the execution state:
- **running**: Execution in progress with current task info
- **completed**: Execution finished with full results
- **error**: Execution failed with error details
operationId: getExecutionStatus
parameters:
- name: kickoff_id
in: path
required: true
description: The kickoff ID returned from the /kickoff endpoint
schema:
type: string
format: uuid
example: "abcd1234-5678-90ef-ghij-klmnopqrstuv"
responses:
"200":
description: Successfully retrieved execution status
content:
application/json:
schema:
oneOf:
- $ref: "#/components/schemas/ExecutionRunning"
- $ref: "#/components/schemas/ExecutionCompleted"
- $ref: "#/components/schemas/ExecutionError"
examples:
running:
summary: Execution in progress
value:
status: "running"
current_task: "research_task"
progress:
completed_tasks: 1
total_tasks: 3
completed:
summary: Execution completed successfully
value:
status: "completed"
result:
output: "Comprehensive travel itinerary for 7 days in Japan focusing on tech culture..."
tasks:
- task_id: "research_task"
output: "Research findings on tech destinations in Japan..."
agent: "Travel Researcher"
execution_time: 45.2
- task_id: "planning_task"
output: "7-day detailed itinerary with activities and recommendations..."
agent: "Trip Planner"
execution_time: 62.8
execution_time: 108.5
error:
summary: Execution failed
value:
status: "error"
error: "Task execution failed: Invalid API key for external service"
execution_time: 23.1
"401":
$ref: "#/components/responses/UnauthorizedError"
"404":
description: Kickoff ID not found
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
example:
error: "Execution not found"
message: "No execution found with ID: abcd1234-5678-90ef-ghij-klmnopqrstuv"
"500":
$ref: "#/components/responses/ServerError"
/resume:
post:
summary: Resume Crew Execution with Human Feedback
description: |
**📋 Reference Example Only** - *This shows the request format. To test with your actual crew, copy the cURL example and replace the URL + token with your real values.*
Resume a paused crew execution with human feedback for Human-in-the-Loop (HITL) workflows.
When a task with `human_input=True` completes, the crew execution pauses and waits for human feedback.
**IMPORTANT**: You must provide the same webhook URLs (`taskWebhookUrl`, `stepWebhookUrl`, `crewWebhookUrl`)
that were used in the original kickoff call. Webhook configurations are NOT automatically carried over -
they must be explicitly provided in the resume request to continue receiving notifications.
operationId: resumeCrewExecution
requestBody:
required: true
content:
application/json:
schema:
type: object
required:
- execution_id
- task_id
- human_feedback
- is_approve
properties:
execution_id:
type: string
format: uuid
description: The unique identifier for the crew execution (from kickoff)
example: "abcd1234-5678-90ef-ghij-klmnopqrstuv"
task_id:
type: string
description: The ID of the task that requires human feedback
example: "research_task"
human_feedback:
type: string
description: Your feedback on the task output. This will be incorporated as additional context for subsequent task executions.
example: "Great research! Please add more details about recent developments in the field."
is_approve:
type: boolean
description: "Whether you approve the task output: true = positive feedback (continue), false = negative feedback (retry task)"
example: true
taskWebhookUrl:
type: string
format: uri
description: Callback URL executed after each task completion. MUST be provided to continue receiving task notifications.
example: "https://your-server.com/webhooks/task"
stepWebhookUrl:
type: string
format: uri
description: Callback URL executed after each agent thought/action. MUST be provided to continue receiving step notifications.
example: "https://your-server.com/webhooks/step"
crewWebhookUrl:
type: string
format: uri
description: Callback URL executed when the crew execution completes. MUST be provided to receive completion notification.
example: "https://your-server.com/webhooks/crew"
examples:
approve_and_continue:
summary: Approve task and continue execution
value:
execution_id: "abcd1234-5678-90ef-ghij-klmnopqrstuv"
task_id: "research_task"
human_feedback: "Excellent research! Proceed to the next task."
is_approve: true
taskWebhookUrl: "https://api.example.com/webhooks/task"
stepWebhookUrl: "https://api.example.com/webhooks/step"
crewWebhookUrl: "https://api.example.com/webhooks/crew"
request_revision:
summary: Request task revision with feedback
value:
execution_id: "abcd1234-5678-90ef-ghij-klmnopqrstuv"
task_id: "analysis_task"
human_feedback: "Please include more quantitative data and cite your sources."
is_approve: false
taskWebhookUrl: "https://api.example.com/webhooks/task"
crewWebhookUrl: "https://api.example.com/webhooks/crew"
responses:
"200":
description: Execution resumed successfully
content:
application/json:
schema:
type: object
properties:
status:
type: string
enum: ["resumed", "retrying", "completed"]
description: Status of the resumed execution
example: "resumed"
message:
type: string
description: Human-readable message about the resume operation
example: "Execution resumed successfully"
examples:
resumed:
summary: Execution resumed with positive feedback
value:
status: "resumed"
message: "Execution resumed successfully"
retrying:
summary: Task will be retried with negative feedback
value:
status: "retrying"
message: "Task will be retried with your feedback"
"400":
description: Invalid request body or execution not in pending state
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
example:
error: "Invalid Request"
message: "Execution is not in pending human input state"
"401":
$ref: "#/components/responses/UnauthorizedError"
"404":
description: Execution ID or Task ID not found
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
example:
error: "Not Found"
message: "Execution ID not found"
"500":
$ref: "#/components/responses/ServerError"
components:
securitySchemes:
BearerAuth:
type: http
scheme: bearer
description: |
**📋 Reference Documentation** - *The tokens shown in examples are placeholders for reference only.*
Use your actual Bearer Token or User Bearer Token from the CrewAI AMP dashboard for real API calls.
**Bearer Token**: Organization-level access for full crew operations
**User Bearer Token**: User-scoped access with limited permissions
schemas:
ExecutionRunning:
type: object
properties:
status:
type: string
enum: ["running"]
example: "running"
current_task:
type: string
description: Name of the currently executing task
example: "research_task"
progress:
type: object
properties:
completed_tasks:
type: integer
description: Number of completed tasks
example: 1
total_tasks:
type: integer
description: Total number of tasks in the crew
example: 3
ExecutionCompleted:
type: object
properties:
status:
type: string
enum: ["completed"]
example: "completed"
result:
type: object
properties:
output:
type: string
description: Final output from the crew execution
example: "Comprehensive travel itinerary..."
tasks:
type: array
items:
$ref: "#/components/schemas/TaskResult"
execution_time:
type: number
description: Total execution time in seconds
example: 108.5
ExecutionError:
type: object
properties:
status:
type: string
enum: ["error"]
example: "error"
error:
type: string
description: Error message describing what went wrong
example: "Task execution failed: Invalid API key"
execution_time:
type: number
description: Time until error occurred in seconds
example: 23.1
TaskResult:
type: object
properties:
task_id:
type: string
description: Unique identifier for the task
example: "research_task"
output:
type: string
description: Output generated by this task
example: "Research findings..."
agent:
type: string
description: Name of the agent that executed this task
example: "Travel Researcher"
execution_time:
type: number
description: Time taken to execute this task in seconds
example: 45.2
Error:
type: object
properties:
error:
type: string
description: Error type or title
example: "Authentication Error"
message:
type: string
description: Detailed error message
example: "Invalid bearer token provided"
ValidationError:
type: object
properties:
error:
type: string
example: "Validation Error"
message:
type: string
example: "Missing required inputs"
details:
type: object
properties:
missing_inputs:
type: array
items:
type: string
example: ["budget", "interests"]
responses:
UnauthorizedError:
description: Authentication failed - check your bearer token
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
example:
error: "Unauthorized"
message: "Invalid or missing bearer token"
NotFoundError:
description: Resource not found
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
example:
error: "Not Found"
message: "The requested resource was not found"
ServerError:
description: Internal server error
content:
application/json:
schema:
$ref: "#/components/schemas/Error"
example:
error: "Internal Server Error"
message: "An unexpected error occurred"