team-telnyx/telnyx-python
GitHub: team-telnyx/telnyx-python
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# Telnyx Python API library
[)](https://pypi.org/project/telnyx/)
The Telnyx Python library provides convenient access to the Telnyx REST API from any Python 3.9+
application. The library includes type definitions for all request params and response fields,
and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
It is generated with [Stainless](https://www.stainless.com/).
## MCP Server
Use the Telnyx MCP Server to enable AI assistants to interact with this API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
[](https://cursor.com/en-US/install-mcp?name=telnyx-mcp&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsInRlbG55eC1tY3AiXSwiZW52Ijp7IlRFTE5ZWF9BUElfS0VZIjoiTXkgQVBJIEtleSIsIlRFTE5ZWF9QVUJMSUNfS0VZIjoiTXkgUHVibGljIEtleSIsIlRFTE5ZWF9DTElFTlRfSUQiOiJNeSBDbGllbnQgSUQiLCJURUxOWVhfQ0xJRU5UX1NFQ1JFVCI6Ik15IENsaWVudCBTZWNyZXQifX0)
[](https://vscode.stainless.com/mcp/%7B%22name%22%3A%22telnyx-mcp%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22telnyx-mcp%22%5D%2C%22env%22%3A%7B%22TELNYX_API_KEY%22%3A%22My%20API%20Key%22%2C%22TELNYX_PUBLIC_KEY%22%3A%22My%20Public%20Key%22%2C%22TELNYX_CLIENT_ID%22%3A%22My%20Client%20ID%22%2C%22TELNYX_CLIENT_SECRET%22%3A%22My%20Client%20Secret%22%7D%7D)
## Documentation
The full API of this library can be found in [api.md](api.md).
## Installation
# install from PyPI
pip install telnyx
## Usage
The full API of this library can be found in [api.md](api.md).
import os
from telnyx import Telnyx
client = Telnyx(
api_key=os.environ.get("TELNYX_API_KEY"), # This is the default and can be omitted
)
response = client.calls.dial(
connection_id="conn12345",
from_="+15557654321",
to="+15551234567",
webhook_url="https://your-webhook.url/events",
)
print(response.data)
While you can provide an `api_key` keyword argument,
we recommend using [python-dotenv](https://pypi.org/project/python-dotenv/)
to add `TELNYX_API_KEY="My API Key"` to your `.env` file
so that your API Key is not stored in source control.
## Async usage
Simply import `AsyncTelnyx` instead of `Telnyx` and use `await` with each API call:
import os
import asyncio
from telnyx import AsyncTelnyx
client = AsyncTelnyx(
api_key=os.environ.get("TELNYX_API_KEY"), # This is the default and can be omitted
)
async def main() -> None:
response = await client.calls.dial(
connection_id="conn12345",
from_="+15557654321",
to="+15551234567",
webhook_url="https://your-webhook.url/events",
)
print(response.data)
asyncio.run(main())
Functionality between the synchronous and asynchronous clients is otherwise identical.
### With aiohttp
By default, the async client uses `httpx` for HTTP requests. However, for improved concurrency performance you may also use `aiohttp` as the HTTP backend.
You can enable this by installing `aiohttp`:
# install from PyPI
pip install telnyx[aiohttp]
Then you can enable it by instantiating the client with `http_client=DefaultAioHttpClient()`:
import os
import asyncio
from telnyx import DefaultAioHttpClient
from telnyx import AsyncTelnyx
async def main() -> None:
async with AsyncTelnyx(
api_key=os.environ.get("TELNYX_API_KEY"), # This is the default and can be omitted
http_client=DefaultAioHttpClient(),
) as client:
response = await client.calls.dial(
connection_id="conn12345",
from_="+15557654321",
to="+15551234567",
webhook_url="https://your-webhook.url/events",
)
print(response.data)
asyncio.run(main())
## Using types
Nested request parameters are [TypedDicts](https://docs.python.org/3/library/typing.html#typing.TypedDict). Responses are [Pydantic models](https://docs.pydantic.dev) which also provide helper methods for things like:
- Serializing back into JSON, `model.to_json()`
- Converting to a dictionary, `model.to_dict()`
Typed requests and responses provide autocomplete and documentation within your editor. If you would like to see type errors in VS Code to help catch bugs earlier, set `python.analysis.typeCheckingMode` to `basic`.
## Pagination
List methods in the Telnyx API are paginated.
This library provides auto-paginating iterators with each list response, so you do not have to request successive pages manually:
from telnyx import Telnyx
client = Telnyx()
all_access_ip_addresses = []
# Automatically fetches more pages as needed.
for access_ip_address in client.access_ip_address.list(
page_number=1,
page_size=50,
):
# Do something with access_ip_address here
all_access_ip_addresses.append(access_ip_address)
print(all_access_ip_addresses)
Or, asynchronously:
import asyncio
from telnyx import AsyncTelnyx
client = AsyncTelnyx()
async def main() -> None:
all_access_ip_addresses = []
# Iterate through items across all pages, issuing requests as needed.
async for access_ip_address in client.access_ip_address.list(
page_number=1,
page_size=50,
):
all_access_ip_addresses.append(access_ip_address)
print(all_access_ip_addresses)
asyncio.run(main())
Alternatively, you can use the `.has_next_page()`, `.next_page_info()`, or `.get_next_page()` methods for more granular control working with pages:
first_page = await client.access_ip_address.list(
page_number=1,
page_size=50,
)
if first_page.has_next_page():
print(f"will fetch next page using these details: {first_page.next_page_info()}")
next_page = await first_page.get_next_page()
print(f"number of items we just fetched: {len(next_page.data)}")
# Remove `await` for non-async usage.
Or just work directly with the returned data:
first_page = await client.access_ip_address.list(
page_number=1,
page_size=50,
)
print(f"page number: {first_page.meta.page_number}") # => "page number: 1"
for access_ip_address in first_page.data:
print(access_ip_address.id)
# Remove `await` for non-async usage.
## Nested params
Nested parameters are dictionaries, typed using `TypedDict`, for example:
from telnyx import Telnyx
client = Telnyx()
response = client.calls.dial(
connection_id="7267xxxxxxxxxxxxxx",
from_="+18005550101",
to="+18005550100 or sip:username@sip.telnyx.com;secure=srtp",
answering_machine_detection_config={
"after_greeting_silence_millis": 1000,
"between_words_silence_millis": 1000,
"greeting_duration_millis": 1000,
"greeting_silence_duration_millis": 2000,
"greeting_total_analysis_time_millis": 50000,
"initial_silence_millis": 1000,
"maximum_number_of_words": 1000,
"maximum_word_length_millis": 2000,
"silence_threshold": 512,
"total_analysis_time_millis": 5000,
},
)
print(response.answering_machine_detection_config)
## Handling errors
When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `telnyx.APIConnectionError` is raised.
When the API returns a non-success status code (that is, 4xx or 5xx
response), a subclass of `telnyx.APIStatusError` is raised, containing `status_code` and `response` properties.
All errors inherit from `telnyx.APIError`.
import telnyx
from telnyx import Telnyx
client = Telnyx()
try:
client.number_orders.create(
phone_numbers=[{"phone_number": "+15558675309"}],
)
except telnyx.APIConnectionError as e:
print("The server could not be reached")
print(e.__cause__) # an underlying Exception, likely raised within httpx.
except telnyx.RateLimitError as e:
print("A 429 status code was received; we should back off a bit.")
except telnyx.APIStatusError as e:
print("Another non-200-range status code was received")
print(e.status_code)
print(e.response)
Error codes are as follows:
| Status Code | Error Type |
| ----------- | -------------------------- |
| 400 | `BadRequestError` |
| 401 | `AuthenticationError` |
| 403 | `PermissionDeniedError` |
| 404 | `NotFoundError` |
| 422 | `UnprocessableEntityError` |
| 429 | `RateLimitError` |
| >=500 | `InternalServerError` |
| N/A | `APIConnectionError` |
### Retries
Certain errors are automatically retried 2 times by default, with a short exponential backoff.
Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,
429 Rate Limit, and >=500 Internal errors are all retried by default.
You can use the `max_retries` option to configure or disable retry settings:
from telnyx import Telnyx
# Configure the default for all requests:
client = Telnyx(
# default is 2
max_retries=0,
)
# Or, configure per-request:
client.with_options(max_retries=5).number_orders.create(
phone_numbers=[{"phone_number": "+15558675309"}],
)
### Timeouts
By default requests time out after 1 minute. You can configure this with a `timeout` option,
which accepts a float or an [`httpx.Timeout`](https://www.python-httpx.org/advanced/timeouts/#fine-tuning-the-configuration) object:
from telnyx import Telnyx
# Configure the default for all requests:
client = Telnyx(
# 20 seconds (default is 1 minute)
timeout=20.0,
)
# More granular control:
client = Telnyx(
timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
)
# Override per-request:
client.with_options(timeout=5.0).number_orders.create(
phone_numbers=[{"phone_number": "+15558675309"}],
)
On timeout, an `APITimeoutError` is thrown.
Note that requests that time out are [retried twice by default](#retries).
## Advanced
### Logging
We use the standard library [`logging`](https://docs.python.org/3/library/logging.html) module.
You can enable logging by setting the environment variable `TELNYX_LOG` to `info`.
$ export TELNYX_LOG=info
Or to `debug` for more verbose logging.
### How to tell whether `None` means `null` or missing
In an API response, a field may be explicitly `null`, or missing entirely; in either case, its value is `None` in this library. You can differentiate the two cases with `.model_fields_set`:
if response.my_field is None:
if 'my_field' not in response.model_fields_set:
print('Got json like {}, without a "my_field" key present at all.')
else:
print('Got json like {"my_field": null}.')
### Accessing raw response data (e.g. headers)
The "raw" Response object can be accessed by prefixing `.with_raw_response.` to any HTTP method call, e.g.,
from telnyx import Telnyx
client = Telnyx()
response = client.number_orders.with_raw_response.create(
phone_numbers=[{
"phone_number": "+15558675309"
}],
)
print(response.headers.get('X-My-Header'))
number_order = response.parse() # get the object that `number_orders.create()` would have returned
print(number_order.data)
These methods return an [`APIResponse`](https://github.com/team-telnyx/telnyx-python/tree/master/src/telnyx/_response.py) object.
The async client returns an [`AsyncAPIResponse`](https://github.com/team-telnyx/telnyx-python/tree/master/src/telnyx/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.
#### `.with_streaming_response`
with client.number_orders.with_streaming_response.create(
phone_numbers=[{"phone_number": "+15558675309"}],
) as response:
print(response.headers.get("X-My-Header"))
for line in response.iter_lines():
print(line)
The context manager is required so that the response will reliably be closed.
### Making custom/undocumented requests
This library is typed for convenient access to the documented API.
If you need to access undocumented endpoints, params, or response properties, the library can still be used.
#### Undocumented endpoints
To make requests to undocumented endpoints, you can make requests using `client.get`, `client.post`, and other
http verbs. Options on the client will be respected (such as retries) when making this request.
import httpx
response = client.post(
"/foo",
cast_to=httpx.Response,
body={"my_param": True},
)
print(response.headers.get("x-foo"))
#### Undocumented request params
If you want to explicitly send an extra param, you can do so with the `extra_query`, `extra_body`, and `extra_headers` request
options.
#### Undocumented response properties
To access undocumented response properties, you can access the extra fields like `response.unknown_prop`. You
can also get all the extra fields on the Pydantic model as a dict with
[`response.model_extra`](https://docs.pydantic.dev/latest/api/base_model/#pydantic.BaseModel.model_extra).
### Configuring the HTTP client
You can directly override the [httpx client](https://www.python-httpx.org/api/#client) to customize it for your use case, including:
import httpx
from telnyx import Telnyx, DefaultHttpxClient
client = Telnyx(
# Or use the `TELNYX_BASE_URL` env var
base_url="http://my.test.server.example.com:8083",
http_client=DefaultHttpxClient(
proxy="http://my.test.proxy.example.com",
transport=httpx.HTTPTransport(local_address="0.0.0.0"),
),
)
You can also customize the client on a per-request basis by using `with_options()`:
client.with_options(http_client=DefaultHttpxClient(...))
### Managing HTTP resources
By default the library closes underlying HTTP connections whenever the client is [garbage collected](https://docs.python.org/3/reference/datamodel.html#object.__del__). You can manually close the client using the `.close()` method if desired, or with a context manager that closes when exiting.
from telnyx import Telnyx
with Telnyx() as client:
# make requests here
...
# HTTP client is now closed
## Versioning
This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions:
1. Changes that only affect static types, without breaking runtime behavior.
2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals.)_
3. Changes that we do not expect to impact the vast majority of users in practice.
We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.
We are keen for your feedback; please open an [issue](https://www.github.com/team-telnyx/telnyx-python/issues) with questions, bugs, or suggestions.
### Determining the installed version
If you've upgraded to the latest version but aren't seeing any new features you were expecting then your python environment is likely still using an older version.
You can determine the version that is being used at runtime with:
import telnyx
print(telnyx.__version__)
## Requirements
Python 3.9 or higher.