grayswan-api 0.1.0a28

The official Python library for the Gray Swan Security API

Gray Swan Security Python API library

The Gray Swan Security Python library provides convenient access to the Gray Swan Security REST API from any Python 3.7+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx.

It is generated with Stainless.

Documentation

The REST API documentation can be found on docs.grayswan.ai. The full API of this library can be found in api.md.

Installation

# install from PyPI
pip install --pre grayswan-api

Usage

The full API of this library can be found in api.md.

import os
from gray_swan_security import GraySwanSecurity

client = GraySwanSecurity(
    # This is the default and can be omitted
    api_key=os.environ.get("GRAYSWAN_API_TOKEN"),
)

completion_create_response = client.chat.completion.create(
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant.",
        },
        {
            "role": "user",
            "content": "I need you to help me with something.",
        },
    ],
    model="cygnet-v0.2",
)

While you can provide an api_key keyword argument, we recommend using python-dotenv to add GRAYSWAN_API_TOKEN="My API Key" to your .env file so that your API Key is not stored in source control.

Async usage

Simply import AsyncGraySwanSecurity instead of GraySwanSecurity and use await with each API call:

import os
import asyncio
from gray_swan_security import AsyncGraySwanSecurity

client = AsyncGraySwanSecurity(
    # This is the default and can be omitted
    api_key=os.environ.get("GRAYSWAN_API_TOKEN"),
)


async def main() -> None:
    completion_create_response = await client.chat.completion.create(
        messages=[
            {
                "role": "system",
                "content": "You are a helpful assistant.",
            },
            {
                "role": "user",
                "content": "I need you to help me with something.",
            },
        ],
        model="cygnet-v0.2",
    )


asyncio.run(main())

Functionality between the synchronous and asynchronous clients is otherwise identical.

Using types

Nested request parameters are TypedDicts. Responses are Pydantic models 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.

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 gray_swan_security.APIConnectionError is raised.

When the API returns a non-success status code (that is, 4xx or 5xx response), a subclass of gray_swan_security.APIStatusError is raised, containing status_code and response properties.

All errors inherit from gray_swan_security.APIError.

import gray_swan_security
from gray_swan_security import GraySwanSecurity

client = GraySwanSecurity()

try:
    client.chat.completion.create(
        messages=[
            {
                "role": "system",
                "content": "You are a helpful assistant.",
            },
            {
                "role": "user",
                "content": "I need you to help me with something.",
            },
        ],
        model="cygnet-v0.2",
    )
except gray_swan_security.APIConnectionError as e:
    print("The server could not be reached")
    print(e.__cause__)  # an underlying Exception, likely raised within httpx.
except gray_swan_security.RateLimitError as e:
    print("A 429 status code was received; we should back off a bit.")
except gray_swan_security.APIStatusError as e:
    print("Another non-200-range status code was received")
    print(e.status_code)
    print(e.response)

Error codes are as followed:

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 5 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 gray_swan_security import GraySwanSecurity

# Configure the default for all requests:
client = GraySwanSecurity(
    # default is 2
    max_retries=0,
)

# Or, configure per-request:
client.with_options(max_retries=5).chat.completion.create(
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant.",
        },
        {
            "role": "user",
            "content": "I need you to help me with something.",
        },
    ],
    model="cygnet-v0.2",
)

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 object:

from gray_swan_security import GraySwanSecurity

# Configure the default for all requests:
client = GraySwanSecurity(
    # 20 seconds (default is 1 minute)
    timeout=20.0,
)

# More granular control:
client = GraySwanSecurity(
    timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
)

# Override per-request:
client.with_options(timeout=5.0).chat.completion.create(
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant.",
        },
        {
            "role": "user",
            "content": "I need you to help me with something.",
        },
    ],
    model="cygnet-v0.2",
)

On timeout, an APITimeoutError is thrown.

Note that requests that time out are retried twice by default.

Advanced

Logging

We use the standard library logging module.

You can enable logging by setting the environment variable GRAY_SWAN_SECURITY_LOG to debug.

$ export GRAY_SWAN_SECURITY_LOG=debug

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 gray_swan_security import GraySwanSecurity

client = GraySwanSecurity()
response = client.chat.completion.with_raw_response.create(
    messages=[{
        "role": "system",
        "content": "You are a helpful assistant.",
    }, {
        "role": "user",
        "content": "I need you to help me with something.",
    }],
    model="cygnet-v0.2",
)
print(response.headers.get('X-My-Header'))

completion = response.parse()  # get the object that `chat.completion.create()` would have returned
print(completion)

These methods return an APIResponse object.

The async client returns an AsyncAPIResponse with the same structure, the only difference being awaitable methods for reading the response content.

Streaming

Streaming allows you to receive partial results as a completion is generated, so that you do not have to wait for the completion to fully complete before receiving a response.

To stream responses, pass stream=True into our client's create method as follows:

completion_create_response = client.chat.completion.create(
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant.",
        },
        {
            "role": "user",
            "content": "I need you to help me with something.",
        },
    ],
    model="cygnet-v0.2",
    stream=True
)

for r in completion_create_response:
    delta_content = r.choices[0].delta.content
    print(delta_content)

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) will be respected 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.

Configuring the HTTP client

You can directly override the httpx client to customize it for your use case, including:

• Support for proxies
• Custom transports
• Additional advanced functionality

from gray_swan_security import GraySwanSecurity, DefaultHttpxClient

client = GraySwanSecurity(
    # Or use the `GRAY_SWAN_SECURITY_BASE_URL` env var
    base_url="http://my.test.server.example.com:8083",
    http_client=DefaultHttpxClient(
        proxies="http://my.test.proxy.example.com",
        transport=httpx.HTTPTransport(local_address="0.0.0.0"),
    ),
)

Managing HTTP resources

By default the library closes underlying HTTP connections whenever the client is garbage collected. You can manually close the client using the .close() method if desired, or with a context manager that closes when exiting.

Versioning

This package generally follows SemVer 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 with questions, bugs, or suggestions.

Requirements

Python 3.7 or higher.