Use this section as a high-level index when implementing an integration. The sections below are ordered to match a typical production rollout: setup, authentication, request patterns, endpoint usage, error handling, and operations.

• 1. Target Audience & Integration Scope
• 2. API Fundamentals: Base URL, Versioning, Environments
• 3. Authentication & Authorization
• 4. Core Concepts: Projects, Keys, Jobs, Resources
• 5. Request/Response Model (Envelope + Metadata)
• 6. Idempotency, Retries, and Safe Replays
• 7. Rate Limits, Quotas, and Usage Monitoring
• 8. Error Handling, Debugging, and Support Workflow
• 9. Pagination, Filtering, Sorting Conventions
• 10. Example Endpoints (Executable Reference)
• 11. Security & Compliance Recommendations
• 12. Operational Best Practices (SLO/SLA Readiness)

This API is designed for technical teams that require deterministic, automatable access to AI capabilities as part of a larger system architecture. Typical integrations include backend services, workflow orchestrators, data pipelines, and product features where the API becomes a dependency with defined reliability and cost expectations.

• Direct synchronous calls: best for low-latency operations and interactive product features.
• Asynchronous jobs: best for heavy workloads, batch operations, and long-running tasks.
• Batch processing: best for bulk input processing with predictable cost and throughput.
• Hybrid model: prototype in SaaS/UI, then productionize via API with the same parameters.

The API is served exclusively over HTTPS. Use separate API Keys per environment to prevent accidental cross-environment usage. In production deployments, it is strongly recommended to use distinct projects for dev, staging, and production.

The API is versioned to ensure long-term stability. Versioning can be expressed via URL path (recommended) and may also be supported via headers depending on deployment configuration.

• Path-based versioning: /v1, /v2, etc.
• Backward compatibility: minor fields may be added without breaking existing clients.
• Breaking changes: introduced only in new major versions and announced in advance.

Requests and responses use JSON. You must set appropriate headers for reliable parsing and security controls.

• Request: Content-Type: application/json
• Response: Content-Type: application/json
• Optional: Accept: application/json for explicit negotiation

All requests require authentication. Unauthenticated requests return 401 Unauthorized. Authorization is enforced by project scope, API Key permissions, and (when enabled) organization policy.

Authorization: Bearer YOUR_API_KEY

Enterprise plans typically support permission scopes to restrict access by capability. Example scope categories:

• read: view resources, usage, and job status
• write: create tasks/jobs, submit payloads, start execution
• admin: manage keys, quotas, policies, and organization-level settings

If your organization requires SSO/IAM integration or IP allowlisting, these controls are applied at the Platform layer.

The API organizes work into projects and resources. Understanding the following concepts will help you design a clean integration.

• project-dev: rapid iteration, verbose logs, lower quotas
• project-staging: production-like testing, integration validation
• project-prod: strict permissions, monitored quotas, stable configs

All successful responses follow a consistent envelope to simplify parsing and observability. The response includes a request_id which can be used for tracing and support.

{
  "request_id": "req_01HXYZABCDEF1234567890",
  "success": true,
  "data": { },
  "meta": {
    "timestamp": "2026-02-13T21:30:45Z",
    "version": "v1"
  }
}

Errors are returned in a structured format that supports automated handling and clear debugging. Clients should treat request_id as the primary correlation identifier.

{
  "request_id": "req_01HXYZABCDEF1234567890",
  "success": false,
  "error": {
    "type": "invalid_request",
    "code": "missing_field",
    "message": "The field 'input.text' is required.",
    "param": "input.text",
    "docs": "https://docs.example.com/errors#missing_field"
  }
}

• X-Request-Id: mirrors request_id for correlation
• Retry-After: returned on 429 and sometimes 503
• X-RateLimit-Limit / Remaining / Reset: rate limit metadata where supported

All timestamps are returned in ISO 8601 format and normalized to UTC (Z). Clients should not assume local time zones.

Production integrations must handle network failures and transient errors safely. For any endpoint that creates a resource, we recommend using an idempotency key to prevent duplicate creation when requests are retried.

Provide a unique idempotency key for create operations. If the same key is used again with the same request body, the API will return the original result (or reject if the body differs).

Idempotency-Key: 5f2f1b3a-8f3b-4c3e-9e18-0f3a7b1c9a22

• Retry only on transient status codes: 408, 429, 502, 503, 504
• Use exponential backoff with jitter
• Respect Retry-After headers when provided
• Set reasonable client timeouts (connect + read) and avoid infinite retries

Configure client timeouts explicitly. Defaults from HTTP libraries are often unsafe for production. Consider separate timeouts for connect and read, and align them with your SLO requirements.

Rate limits protect platform stability and ensure fair usage. Limits may differ by endpoint category and plan. When a limit is exceeded, the API returns 429 Too Many Requests.

• Limits are typically enforced per API Key and per time window
• Some endpoints may have stricter limits due to compute intensity
• Backoff and retry should be implemented on the client side

Quotas represent the total allowed usage for your plan (e.g., monthly units, compute credits, or request budgets). Quotas may be enforced at project and organization levels.

Use a usage endpoint to query consumption programmatically. This allows you to build internal dashboards, alerts, and cost controls.

GET /v1/usage?from=2026-02-01&to=2026-02-13

The API uses standard HTTP status codes combined with structured error payloads. Clients should not rely on message strings; use error type and code fields for programmatic handling.

• 400 Bad Request – malformed payload, missing fields, or invalid parameters
• 401 Unauthorized – missing/invalid/revoked API key
• 403 Forbidden – permission denied by scope, policy, or allowlist rules
• 404 Not Found – unknown resource ID or endpoint
• 409 Conflict – idempotency conflict or resource state conflict
• 422 Unprocessable Entity – valid JSON but semantically invalid (schema/rules failure)
• 429 Too Many Requests – rate limited
• 500 Internal Server Error – platform fault (retry with backoff)
• 502/503/504 – transient upstream/service issues (retryable)

• Log request_id, status code, and error payload for every failure
• Confirm environment (dev/staging/prod) and correct API Key scope
• Check quota remaining and rate limit headers
• Validate JSON schema and required fields
• Retry only retryable errors using backoff and idempotency keys

To speed up investigation, include: request_id, timestamp, endpoint path, and a sanitized payload sample. Never send secrets or full sensitive datasets via email.

List endpoints support pagination to ensure stable performance. Use cursor-based pagination where possible.

GET /v1/resources?limit=50&cursor=cur_01HXYZ...

• limit: number of items to return (default and max depend on endpoint)
• cursor: opaque token returned by the previous response

GET /v1/jobs?status=running&created_after=2026-02-01T00:00:00Z

GET /v1/runs?sort=-created_at

Sorting uses a leading - for descending order. Supported fields vary by endpoint and are documented in each endpoint section.

This section provides concrete endpoint definitions and examples. Paths, fields, and payloads represent a stable reference model. Replace hostnames and keys with your environment-specific values.

Use this endpoint to validate connectivity, DNS, TLS handshake, and basic platform availability from your environment. This is also suitable for uptime monitoring checks.

GET /v1/health

{
  "request_id": "req_01HXYZ...",
  "success": true,
  "data": {
    "status": "ok",
    "uptime": "99.99%",
    "region": "us-west",
    "time": "2026-02-13T21:30:45Z"
  }
}

Create a job for long-running workloads. The job returns immediately with an ID. You can poll job status or subscribe to webhooks (if enabled) for completion events.

POST /v1/jobs
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
Idempotency-Key: 6a7f1f02-2d38-4d2a-9f8e-0afacb1c0d11

{
  "type": "ai_task",
  "input": {
    "text": "Summarize the following document into structured bullet points..."
  },
  "options": {
    "mode": "asynchronous",
    "priority": "normal",
    "timeout_seconds": 120
  },
  "output": {
    "format": "json",
    "schema_hint": {
      "fields": ["title", "summary", "key_points", "risks", "next_actions"]
    }
  },
  "metadata": {
    "external_id": "ticket_98321",
    "tags": ["ops", "summary", "v1"]
  }
}

{
  "request_id": "req_01HXYZ...",
  "success": true,
  "data": {
    "job_id": "job_01HXYZABCDEF123456",
    "status": "queued",
    "created_at": "2026-02-13T21:30:45Z"
  },
  "meta": {
    "version": "v1"
  }
}

GET /v1/jobs/job_01HXYZABCDEF123456

{
  "request_id": "req_01HXYZ...",
  "success": true,
  "data": {
    "job_id": "job_01HXYZABCDEF123456",
    "status": "running",
    "progress": 0.42,
    "started_at": "2026-02-13T21:31:02Z",
    "estimated_finish_at": "2026-02-13T21:31:55Z"
  }
}

Once a job completes, retrieve its output. If the job fails, the error payload will include retry guidance.

GET /v1/jobs/job_01HXYZABCDEF123456/output

{
  "request_id": "req_01HXYZ...",
  "success": true,
  "data": {
    "result": {
      "title": "Document Summary",
      "summary": " ... ",
      "key_points": [" ... ", " ... "],
      "risks": [" ... "],
      "next_actions": [" ... "]
    }
  }
}

GET /v1/jobs?status=succeeded&limit=20&cursor=cur_01HXYZ...

POST /v1/jobs/job_01HXYZABCDEF123456/cancel

{
  "request_id": "req_01HXYZ...",
  "success": true,
  "data": {
    "job_id": "job_01HXYZABCDEF123456",
    "status": "canceled"
  }
}

• Secrets: store API keys in a secret manager, not environment variables in shared hosts.
• Logging: never log raw secrets or full sensitive payloads; log request_id and hashes instead.
• Data minimization: send only the minimum required fields for the task.
• Retention: define retention policy for outputs and logs aligned with internal compliance.
• Access: rotate keys, restrict scopes, and separate production from non-production access.

If your organization requires enhanced controls (SSO, IP allowlisting, private deployment, audit exports), these are handled at the Platform layer. Contact support to align your security posture.

Treat this API as a production dependency. Define SLOs (latency, error rate, success rate), implement monitoring, and establish incident handling procedures. For critical workflows, prefer asynchronous execution to reduce tail latency.

• Observability: capture request_id, latency, status codes, retry counts, and quota usage.
• Backpressure: apply internal queue limits and concurrency caps to avoid self-induced overload.
• Canary releases: roll out configuration changes gradually and measure impact.
• Runbooks: document retry behavior, escalation, and rollback procedures.

For technical questions, integration support, or incident reports, contact support and include the request_id and timestamps for faster investigation. Do not send API keys or sensitive datasets by email.

Email: [email protected]