/telnyx-missions-python
Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations. This skill provides Python SDK examples.
$ npx -y skills add team-telnyx/ai --skill telnyx-missions-python --agent claude-codeHow it fires
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Create and manage Telnyx Missions — automated workflows, tasks, and sub-resources for AI-driven telecom operations. This skill provides Python SDK examples.
SKILL.md
telnyx-missions-python.SKILL.mdname: 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
)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")
except telnyx.RateLimitError:
# 429: rate limited — wait and retry with exponential backoff
import time
time.sleep(1) # Check Retry-After header for actual delay
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")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
List all missions for the organization
`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
Create a new mission definition
`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
List recent events across all missions
`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
List recent runs across all missions
`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
Update a mission definition
`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
Delete a mission
`DELETE /ai/missions/{mission_id}`
client.ai.missions.delete_mission(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)Clone mission
Clone an existing mission
`POST /ai/missions/{mission_id}/clone`
response = client.ai.missions.clone_mission(
"mission_id",
)
print(response)List knowledge bases
List all knowledge bases for a mission
`GET /ai/missions/{mission_id}/knowledge-bases`
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`
response = client.ai.missions.knowledge_bases.create_knowledge_base(
"mission_id",
)
print(response)Get knowledge base
Get a specific knowledge base by ID
`GET /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}`
response = client.ai.missions.knowledge_bases.get_knowledge_base(
knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
mission_id="550e8400-e29b-41d4-a716-446655440000"Read more
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
)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")
except telnyx.RateLimitError:
# 429: rate limited — wait and retry with exponential backoff
import time
time.sleep(1) # Check Retry-After header for actual delay
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")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
List all missions for the organization
`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
Create a new mission definition
`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
List recent events across all missions
`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
List recent runs across all missions
`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
Update a mission definition
`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
Delete a mission
`DELETE /ai/missions/{mission_id}`
client.ai.missions.delete_mission(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)Clone mission
Clone an existing mission
`POST /ai/missions/{mission_id}/clone`
response = client.ai.missions.clone_mission(
"mission_id",
)
print(response)List knowledge bases
List all knowledge bases for a mission
`GET /ai/missions/{mission_id}/knowledge-bases`
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`
response = client.ai.missions.knowledge_bases.create_knowledge_base(
"mission_id",
)
print(response)Get knowledge base
Get a specific knowledge base by ID
`GET /ai/missions/{mission_id}/knowledge-bases/{knowledge_base_id}`
response = client.ai.missions.knowledge_bases.get_knowledge_base(
knowledge_base_id="550e8400-e29b-41d4-a716-446655440000",
mission_id="550e8400-e29b-41d4-a716-446655440000"This repo is the one-stop shop for AI Agents and AI-first developers building with Telnyx — everything an agent needs to build production-grade applications and manage its account, from signup to funding.
Repo: team-telnyx/ai
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