Agent API & SDK

Agent API

Warp's Public Agent API lets you create and inspect Ambient Agent runs over HTTP from any system (CI, cron, backend services, internal tools), without requiring the Warp desktop app.

With the API you can:

• Run an agent by submitting a prompt plus optional config (model, environment, MCP servers, base prompt, etc.)

• Monitor execution by listing runs and tracking state transitions over time (queued → in progress → succeeded/failed)

• Inspect results and provenance by fetching a run's full details, including the original prompt, source/creator metadata, session link, and resolved agent configuration

This page is a high-level overview. For full API endpoint details, please refer to the Agents API. For schema definitions, see the Models reference.

Agent SDK

Warp provides official Python and TypeScript SDKs that wrap the Public Agent API with:

• Typed requests and responses (editor autocomplete, fewer schema mistakes)

• Built-in retries and timeouts (with per-request overrides)

• Consistent error types that map to API status codes

• Helpers for raw responses when you need headers/status or custom parsing

If you’re building an integration (CI, Slack bots, internal tooling, orchestrators), the SDKs are typically the quickest and safest starting point.

SDK vs raw REST

• Use the SDK when you want strong typing, standardized error handling, and easy concurrency patterns.

• Use raw REST when you want minimal dependencies or full control over your HTTP client (the SDKs also support calling undocumented endpoints when needed).

For the full SDK surface area and latest usage, refer to the GitHub repos: Python SDK and TypeScript SDK.

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Agent API

REST API Base URL

All endpoints are served over HTTPS:

https://app.warp.dev/api/v1

Core Concepts

Agent runs

An agent run represents a single execution of an Ambient Agent, created with a prompt and optional configuration. Each run has:

• A unique run_id

• A human-readable title

• A prompt that the agent executes

• A state (for example QUEUED, INPROGRESS, SUCCEEDED, FAILED)

• Timestamps (created_at, updated_at)

• Optional session information (session_id, session_link)

• Optional resolved configuration (agent_config)

See the Agents API for details on how runs are created and listed.

Agent configuration

You can influence how an agent runs using AmbientAgentConfig, including:

• name for traceability and filtering

• model_id for LLM selection

• base_prompt to shape behavior

• environment_id to choose a CloudEnvironment

• mcp_servers to enable specific tools via MCP

See the Models reference for the full configuration schema.

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Key Endpoints

The Agents API exposes three primary endpoints:

• POST /agent/run

  Create a new agent run with a prompt and optional config and title. Returns run_id and initial state.

• GET /agent/runs

  List runs with pagination and filters for state, config_name, model_id, creator, source, and creation time.

• GET /agent/runs/{runId}

  Fetch full details for a single run, including session link and resolved configuration.

All endpoint semantics, query parameters, and error codes are documented on the Agents API.

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Models Reference

The API shares a set of reusable models across endpoints. Detailed JSON schemas, types, and enums are documented on the Models reference, including:

• RunAgentRequest

• RunAgentResponse

• ListRunsResponse

• RunItem

• PageInfo

• RunStatusMessage

• RunCreatorInfo

• RunState

• RunSourceType

• AmbientAgentConfig

• MCPServerConfig

• Error

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Agent SDKs

Python SDK

The Python SDK is the recommended way to call the Agent API from Python services and scripts. It provides:

• Sync + async clients

• Typed request/response models

• Configurable retries/timeouts and structured errors

See the Python SDK GitHub repo for installation, full API reference (api.md), and up-to-date examples.

TypeScript SDK

The TypeScript SDK is the recommended way to call the Agent API from Node.js services and modern TS/JS runtimes. It provides:

• Fully typed params/responses

• First-class error handling, retries/timeouts

• Support across common runtimes where fetch is available or polyfilled

See the TypeScript SDK GitHub repo for installation, full API reference (api.md), and up-to-date examples.