Telnyx Missions - Python

---
name: telnyx-missions-python-b598e2448b83
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

```bash
pip install telnyx
```

## Setup

```python
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:

```python
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`

```python
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)

```python
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`

```python
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`

```python
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}`

```python
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)

```python
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}`

```python
client.ai.missions.delete_mission(
    "182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
```

## Clone mission

Creates a copy of the specified mission as a new mission definition, so you can iterate on its configuration without modifying the original.

`POST /ai/missions/{mission_id}/clone`

```python
response = client.ai.missions.clone_mission(
    "mission_id",
)
print(response)
```

## List knowledge bases

Returns the knowledge bases attached to the specified mission. Knowledge bases provide reference content agents can draw on during runs.

`GET /ai/missions/{mission_id}/knowledge-bases`

```python
response = client.ai.missions.knowledge_bases.list_knowledge_bases(
    "mission_id",
)
print(response)
```

## Create knowledge base

Create a new knowledge base for a mission

`POST /ai/missions/{mission_id}/knowledge-bases`

```python
response = client.ai.missions.knowledge_bases.create_knowledge_base(
    "mission_id",
)
print(response)
```

## Get knowledge base

Returns the details of a single knowledge base attached to the specified mission.

`GET /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}`

```python
response = client.ai.missions.knowledge_bases.get_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)
```

## Update knowledge base

Replaces the definition of the specified knowledge base on this mission.

`PUT /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}`

```python
response = client.ai.missions.knowledge_bases.update_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)
```

## Delete knowledge base

Detaches the specified knowledge base from the mission so its content is no longer available to agents in subsequent runs.

`DELETE /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}`

```python
client.ai.missions.knowledge_bases.delete_knowledge_base(
    knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
```

## List MCP servers

Returns the MCP servers configured on the specified mission. MCP servers expose external tools and data sources agents can use during runs.

`GET /ai/missions/{mission_id}/mcp-servers`

```python
response = client.ai.missions.mcp_servers.list_mcp_servers(
    "mission_id",
)
print(response)
```

## Create MCP server

Adds an MCP server to the specified mission, making the server's tools available to agents during runs of this mission.

`POST /ai/missions/{mission_id}/mcp-servers`

```python
response = client.ai.missions.mcp_servers.create_mcp_server(
    "mission_id",
)
print(response)
```

## Get MCP server

Returns the configuration of a single MCP server attached to the specified mission.

`GET /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}`

```python
response = client.ai.missions.mcp_servers.get_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)
```

## Update MCP server

Replaces the configuration of the specified MCP server on this mission.

`PUT /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}`

```python
response = client.ai.missions.mcp_servers.update_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)
```

## Delete MCP server

Removes the specified MCP server from the mission, revoking agent access to its tools in subsequent runs.

`DELETE /ai/missions/{mission_id}/mcp-servers/{mcp_server_id}`

```python
client.ai.missions.mcp_servers.delete_mcp_server(
    mcp_server_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
```

## List runs for mission

Returns a paginated list of runs for the specified mission, optionally filtered by run status, so you can track the mission's execution history over time.

`GET /ai/missions/{mission_id}/runs`

```python
page = client.ai.missions.runs.list(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
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)

## Start a run

Starts a new run of the specified mission and returns the created run object. Track its progress through the run detail, plan, and events endpoints.

`POST /ai/missions/{mission_id}/runs`

Optional: `input` (object), `metadata` (object)

```python
run = client.ai.missions.runs.create(
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)
```

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 run details

Returns the full details of a single run, including its current status. Use this to poll an in-flight run or inspect the outcome of a completed one.

`GET /ai/missions/{mission_id}/runs/{run_id}`

```python
run = client.ai.missions.runs.retrieve(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)
```

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)

## Update run

Updates a run's status and/or result and returns the updated run object. Typically used by executing agents to report progress or record the final outcome.

`PATCH /ai/missions/{mission_id}/runs/{run_id}`

Optional: `error` (string), `metadata` (object), `result_payload` (object), `result_summary` (string), `status` (enum: pending, running, paused, succeeded, failed, cancelled)

```python
run = client.ai.missions.runs.update(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(run.data)
```

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)

## Cancel run

Cancels a running or paused run and returns the updated run object. A cancelled run stops executing; start a new run to execute the mission again.

`POST /ai/missions/{mission_id}/runs/{run_id}/cancel`

```python
response = client.ai.missions.runs.cancel_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)
```

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)

## List events

Returns a paginated list of events logged for the specified run, filterable by event type, plan step, and agent, so you can reconstruct exactly what happened during execution.

`GET /ai/missions/{mission_id}/runs/{run_id}/events`

```python
page = client.ai.missions.runs.events.list(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
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)

## Log event

Logs a new event against the specified run and returns the created event. Events form the run's audit trail and can reference a plan step or agent.

`POST /ai/missions/{mission_id}/runs/{run_id}/events` — Required: `type`, `summary`

Optional: `agent_id` (string), `idempotency_key` (string), `payload` (object), `step_id` (string)

```python
response = client.ai.missions.runs.events.log(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    summary="Brief task summary",
    type="status_change",
)
print(response.data)
```

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)

## Get event details

Returns the details of a single event logged for the specified run, including its type and payload.

`GET /ai/missions/{mission_id}/runs/{run_id}/events/{event_id}`

```python
response = client.ai.missions.runs.events.get_event_details(
    event_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)
```

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)

## Pause run

Pauses a currently running run and returns the updated run object. Execution halts until the run is resumed.

`POST /ai/missions/{mission_id}/runs/{run_id}/pause`

```python
response = client.ai.missions.runs.pause_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)
```

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 plan

Returns the plan for the specified run, including all plan steps and their statuses, so you can see how the mission was decomposed and how far execution has progressed.

`GET /ai/missions/{mission_id}/runs/{run_id}/plan`

```python
plan = client.ai.missions.runs.plan.retrieve(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(plan.data)
```

Returns: `completed_at` (date-time), `description` (string), `metadata` (object), `parent_step_id` (string), `run_id` (uuid), `sequence` (integer), `started_at` (date-time), `status` (enum: pending, in_progress, completed, skipped, failed), `step_id` (string)

## Create initial plan

Creates the initial plan for the specified run from the provided steps and returns the created plan steps. Progress is subsequently reported by updating individual steps.

`POST /ai/missions/{mission_id}/runs/{run_id}/plan` — Required: `steps`

```python
plan = client.ai.missions.runs.plan.create(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    steps=[{
        "description": "description",
        "sequence": 0,
        "step_id": "step_id",
    }],
)
print(plan.data)
```

Returns: `completed_at` (date-time), `description` (string), `metadata` (object), `parent_step_id` (string), `run_id` (uuid), `sequence` (integer), `started_at` (date-time), `status` (enum: pending, in_progress, completed, skipped, failed), `step_id` (string)

## Add step(s) to plan

Add one or more steps to an existing plan

`POST /ai/missions/{mission_id}/runs/{run_id}/plan/steps` — Required: `steps`

```python
response = client.ai.missions.runs.plan.add_steps_to_plan(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    steps=[{
        "description": "description",
        "sequence": 0,
        "step_id": "step_id",
    }],
)
print(response.data)
```

Returns: `completed_at` (date-time), `description` (string), `metadata` (object), `parent_step_id` (string), `run_id` (uuid), `sequence` (integer), `started_at` (date-time), `status` (enum: pending, in_progress, completed, skipped, failed), `step_id` (string)

## Get step details

Returns the details of a single plan step within a run's plan, including its status.

`GET /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}`

```python
response = client.ai.missions.runs.plan.get_step_details(
    step_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)
```

Returns: `completed_at` (date-time), `description` (string), `metadata` (object), `parent_step_id` (string), `run_id` (uuid), `sequence` (integer), `started_at` (date-time), `status` (enum: pending, in_progress, completed, skipped, failed), `step_id` (string)

## Update step status

Updates the status of a single plan step and returns the updated step. Typically called by the executing agent as it works through the plan.

`PATCH /ai/missions/{mission_id}/runs/{run_id}/plan/steps/{step_id}`

Optional: `metadata` (object), `status` (enum: pending, in_progress, completed, skipped, failed)

```python
response = client.ai.missions.runs.plan.update_step(
    step_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)
```

Returns: `completed_at` (date-time), `description` (string), `metadata` (object), `parent_step_id` (string), `run_id` (uuid), `sequence` (integer), `started_at` (date-time), `status` (enum: pending, in_progress, completed, skipped, failed), `step_id` (string)

## Resume run

Resumes a previously paused run and returns the updated run object, letting execution continue from where it was paused.

`POST /ai/missions/{mission_id}/runs/{run_id}/resume`

```python
response = client.ai.missions.runs.resume_run(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response.data)
```

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)

## List linked Telnyx agents

Returns the Telnyx agents currently linked to the specified run. Linked agents participate in executing the run's plan.

`GET /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents`

```python
telnyx_agents = client.ai.missions.runs.telnyx_agents.list(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(telnyx_agents.data)
```

Returns: `created_at` (date-time), `run_id` (string), `telnyx_agent_id` (string)

## Link Telnyx agent to run

Link a Telnyx AI agent (voice/messaging) to a run

`POST /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents` — Required: `telnyx_agent_id`

```python
response = client.ai.missions.runs.telnyx_agents.link(
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    telnyx_agent_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response.data)
```

Returns: `created_at` (date-time), `run_id` (string), `telnyx_agent_id` (string)

## Unlink Telnyx agent

Unlinks the specified Telnyx agent from the run so it no longer participates in execution. The run itself and its history are unaffected.

`DELETE /ai/missions/{mission_id}/runs/{run_id}/telnyx-agents/{telnyx_agent_id}`

```python
client.ai.missions.runs.telnyx_agents.unlink(
    telnyx_agent_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
    run_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
```

## List tools

Returns the tools configured on the specified mission. Tools define the actions agents may invoke while executing the mission's runs.

`GET /ai/missions/{mission_id}/tools`

```python
response = client.ai.missions.tools.list_tools(
    "mission_id",
)
print(response)
```

## Create tool

Adds a new tool to the specified mission, defining an action agents can invoke during runs of this mission.

`POST /ai/missions/{mission_id}/tools`

```python
response = client.ai.missions.tools.create_tool(
    "mission_id",
)
print(response)
```

## Get tool

Returns the definition of a single tool configured on the specified mission.

`GET /ai/missions/{mission_id}/tools/{tool_id}`

```python
response = client.ai.missions.tools.get_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)
```

## Update tool

Replaces the definition of the specified tool on this mission.

`PUT /ai/missions/{mission_id}/tools/{tool_id}`

```python
response = client.ai.missions.tools.update_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
print(response)
```

## Delete tool

Removes the specified tool from the mission so agents can no longer invoke it in subsequent runs.

`DELETE /ai/missions/{mission_id}/tools/{tool_id}`

```python
client.ai.missions.tools.delete_tool(
    tool_id="550e8400-e29b-41d4-a716-446655440000",
    mission_id="550e8400-e29b-41d4-a716-446655440000",
)
```