telnyx-ai-assistants-c…
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
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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/telnyx-missions-pythonContext preview
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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.
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. -->
pip install telnyx
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.
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).
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 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 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 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 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 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 a mission
`DELETE /ai/missions/{mission_id}`
client.ai.missions.delete_mission(
"182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)Clone an existing mission
`POST /ai/missions/{mission_id}/clone`
response = client.ai.missions.clone_mission(
"mission_id",
)
print(response)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 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 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
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
AI voice assistants with custom instructions, knowledge bases, and tool integrations.