/telnyx-missions-python

name: telnyx-missions-python
description: >-
  Create and manage Telnyx Missions — automated workflows, tasks, and
  sub-resources for AI-driven telecom operations. This skill provides Python SDK
  examples.
metadata:
  author: telnyx
  product: missions
  language: python
  generated_by: telnyx-openapi-pipeline

<!-- Auto-generated from Telnyx OpenAPI specs. Do not edit. -->

Telnyx Missions - Python

Installation

pip install telnyx

Setup

import os
from telnyx import Telnyx

client = Telnyx(
    api_key=os.environ.get("TELNYX_API_KEY"),  # This is the default and can be omitted
    public_key=os.environ.get("TELNYX_PUBLIC_KEY"),  # Required for client.webhooks.unwrap() (webhook verification)
)

All examples below assume `client` is already initialized as shown above.

Error Handling

All API calls can fail with network errors, rate limits (429), validation errors (422), or authentication errors (401). Always handle errors in production code:

import telnyx

try:
    result = client.messages.send(to="+13125550001", from_="+13125550002", text="Hello")
except telnyx.APIConnectionError:
    print("Network error — check connectivity and retry")
    raise
except telnyx.RateLimitError:
    # 429: rate limited — wait, then retry the request (bounded exponential backoff)
    import time
    time.sleep(1)  # Check Retry-After header for actual delay
    # ...retry the call here (give up after a few attempts); otherwise re-raise:
    raise
except telnyx.APIStatusError as e:
    print(f"API error {e.status_code}: {e.message}")
    if e.status_code == 422:
        print("Validation error — check required fields and formats")
    raise  # A failed request must never look like success to the caller

Common error codes: `401` invalid API key, `403` insufficient permissions, `404` resource not found, `422` validation error (check field formats), `429` rate limited (retry with exponential backoff).

Important Notes

• **Pagination:** List methods return an auto-paginating iterator. Use `for item in page_result:` to iterate through all pages automatically.

List missions

Returns a paginated list of all mission definitions in your organization. Missions describe a goal and the tools, knowledge bases, and MCP servers agents may use to accomplish it.

`GET /ai/missions`

page = client.ai.missions.list()
page = page.data[0]
print(page.mission_id)

Returns: `created_at` (date-time), `description` (string), `execution_mode` (enum: external, managed), `instructions` (string), `metadata` (object), `mission_id` (uuid), `model` (string), `name` (string), `updated_at` (date-time)

Create mission

Creates a new mission definition from the provided configuration and returns the created mission. Execute the mission by starting runs against it.

`POST /ai/missions` — Required: `name`

Optional: `description` (string), `execution_mode` (enum: external, managed), `instructions` (string), `metadata` (object), `model` (string)

mission = client.ai.missions.create(
    name="my-resource",
)
print(mission.data)

Returns: `created_at` (date-time), `description` (string), `execution_mode` (enum: external, managed), `instructions` (string), `metadata` (object), `mission_id` (uuid), `model` (string), `name` (string), `updated_at` (date-time)

List recent events

Returns a paginated list of recent events across every mission in your organization, optionally filtered by event type. Useful for building activity feeds or monitoring dashboards.

`GET /ai/missions/events`

page = client.ai.missions.list_events()
page = page.data[0]
print(page.event_id)

Returns: `agent_id` (string), `event_id` (string), `idempotency_key` (string), `payload` (object), `run_id` (string), `step_id` (string), `summary` (string), `timestamp` (date-time), `type` (enum: status_change, step_started, step_completed, step_failed, tool_call, tool_result, message, error, custom)

List recent runs

Returns a paginated list of recent runs across every mission in your organization, optionally filtered by run status. Useful for monitoring overall mission activity without querying each mission individually.

`GET /ai/missions/runs`

page = client.ai.missions.runs.list_runs()
page = page.data[0]
print(page.mission_id)

Returns: `error` (string), `finished_at` (date-time), `input` (object), `metadata` (object), `mission_id` (uuid), `result_payload` (object), `result_summary` (string), `run_id` (uuid), `started_at` (date-time), `status` (enum: pending, running, paused, succeeded, failed, cancelled), `updated_at` (date-time)

Get mission

Get a mission by ID (includes tools, knowledge_bases, mcp_servers)

`GET /ai/missions/{mission_id}`

mission = client.ai.missions.retrieve(
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(mission.data)

Returns: `created_at` (date-time), `description` (string), `execution_mode` (enum: external, managed), `instructions` (string), `metadata` (object), `mission_id` (uuid), `model` (string), `name` (string), `updated_at` (date-time)

Update mission

Replaces the specified mission's definition with the provided configuration and returns the updated mission.

`PUT /ai/missions/{mission_id}`

Optional: `description` (string), `execution_mode` (enum: external, managed), `instructions` (string), `metadata` (object), `model` (string), `name` (string)

response = client.ai.missions.update_mission(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)

Returns: `created_at` (date-time), `description` (string), `execution_mode` (enum: external, managed), `instructions` (string), `metadata` (object), `mission_id` (uuid), `model` (string), `name` (string), `updated_at` (date-time)

Delete mission

Permanently deletes the specified mission definition and returns no content on success.

`DELETE /ai/missions/{mission_id}`

client.ai.missions.delete_mi