telnyx-ai-assistants-c…
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Build voice applications using TeXML markup language (TwiML-compatible). Manage applications, calls, conferences, recordings, queues, and streams. This skill provides Python SDK examples.
$ npx -y skills add team-telnyx/ai --skill telnyx-texml-python --agent claude-codeHow it fires
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Build voice applications using TeXML markup language (TwiML-compatible). Manage applications, calls, conferences, recordings, queues, and streams. This skill provides Python SDK examples.
name: telnyx-texml-python description: >- Build voice applications using TeXML markup language (TwiML-compatible). Manage applications, calls, conferences, recordings, queues, and streams. This skill provides Python SDK examples. metadata: author: telnyx product: texml 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).
Returns multiple call resources for an account. This endpoint is eventually consistent.
`GET /texml/Accounts/{account_sid}/Calls`
response = client.texml.accounts.calls.retrieve_calls(
account_sid="550e8400-e29b-41d4-a716-446655440000",
)
print(response.calls)Returns: `calls` (array[object]), `end` (integer), `first_page_uri` (string), `next_page_uri` (string), `page` (integer), `page_size` (integer), `start` (integer), `uri` (string)
Initiate an outbound TeXML call. Telnyx will request TeXML from the XML Request URL configured for the connection in the Mission Control Portal.
`POST /texml/Accounts/{account_sid}/Calls` — Required: `Url`
Optional: `Texml` (object)
response = client.texml.accounts.calls.calls(
account_sid="550e8400-e29b-41d4-a716-446655440000",
params={
"url": "https://www.example.com/texml.xml"
},
)
print(response.from_)Returns: `from` (string), `status` (string), `to` (string)
Returns an individual call identified by its CallSid. This endpoint is eventually consistent.
`GET /texml/Accounts/{account_sid}/Calls/{call_sid}`
call = client.texml.accounts.calls.retrieve(
call_sid="550e8400-e29b-41d4-a716-446655440000",
account_sid="550e8400-e29b-41d4-a716-446655440000",
)
print(call.account_sid)Returns: `account_sid` (string), `answered_by` (enum: human, machine, not_sure), `caller_name` (string), `date_created` (string), `date_updated` (string), `direction` (enum: inbound, outbound), `duration` (string), `end_time` (string), `from` (string), `from_formatted` (string), `price` (string), `price_unit` (string), `sid` (string), `start_time` (string), `status` (enum: ringing, in-progress, canceled, completed, failed, busy, no-answer), `to` (string), `to_formatted` (string), `uri` (string)
Update TeXML call. Please note that the keys present in the payload MUST BE formatted in CamelCase as specified in the example.
`POST /texml/Accounts/{account_sid}/Calls/{call_sid}`
call = client.texml.accounts.calls.update(
call_sid="550e8400-e29b-41d4-a716-446655440000",
account_sid="550e8400-e29b-41d4-a716-446655440000",
)
print(call.account_sid)Returns: `account_sid` (string), `answered_by` (enum: human, machine, not_sure), `caller_name` (string), `date_created` (string), `date_updated` (string), `direction` (enum: inbound, outbound), `duration` (string), `end_time` (string), `from` (string), `from_formatted` (string), `price` (string), `price_unit` (string), `sid` (string), `start_time` (string), `status` (enum: ringing, in-progress, canceled, completed, failed, busy, no-answer), `to` (string), `to_formatted` (string), `uri` (string)
Returns recordings for a call identified by call_sid.
`GET /texml/Accounts/{account_sid}/Calls/{call_sid}/Recordings.json`
response = client.texml.accounts.calls.recordings_json.retrieve_recordings_json(
call_sid="550e8400-e29b-41d4-a716-446655440000",
account_sid="550e8400-e29b-41d4-a716-446655440000",
)
print(response.end)Returns: `end` (integer), `first_page_uri` (uri), `next_page_uri` (string), `page` (integer), `page_size` (integer), `previous_page_uri` (uri), `recordings` (array[object]), `start` (integer), `uri` (string)
Starts recording with specified parameters for call identified by call_sid.
`POST /texml/Accounts/{account_sid}/Calls/{call_sid}/Recordings.json`
response = client.texml.accounts.calls.recordings_json.recordings_json(
call_sid="550e8400-e29b-41d4-a716-446655440000",
account_sid="550e8400-e29b-41d4-a716-446655440000",
)
print(response.account_sid)Returns: `account_sid` (string), `call_sid` (string), `channels` (enum: 1, 2), `conference_sid` (uuid), `date_created` (date-time), `date_updated` (date-time), `duration` (string | null), `error_code` (string | null), `price` (string | null), `price_unit` (string | null), `sid` (string), `source` (enum: StartCallRecordingAPI, StartConferenceRecordingAPI,
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.