telnyx-ai-inference-python

Telnyx Ai Inference - 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.

Transcribe speech to text

Transcribe speech to text. This endpoint is consistent with the OpenAI Transcription API and may be used with the OpenAI JS or Python SDK.