telnyx-networking-python

Telnyx Networking - 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 all clusters

GET /ai/clusters

page = client.ai.clusters.list()
page = page.data[0]
print(page.task_id)

Returns: bucket (string), created_at (date-time), finished_at (date-time), min_cluster_size (integer), min_subcluster_size (integer), status (enum: pending, starting, running, completed, failed), task_id (string)

Compute new clusters

Starts a background task to compute how the data in an embedded storage bucket is clustered. This helps identify common themes and patterns in the data.