)
The official Python SDK for Giskard Hub. Use it to define agents, manage projects and datasets, run evaluations and vulnerability scans, schedule recurring runs, and automate your LLM quality workflow from Python.
The package includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx.
It was initially generated with Stainless.
pip install giskard-hubTo install the latest unreleased changes directly from GitHub:
pip install git+ssh://git@github.com/Giskard-AI/giskard-hub-python.gitSet the Hub base URL and API key before creating a client:
export GISKARD_HUB_BASE_URL="https://your-hub-instance"
export GISKARD_HUB_API_KEY="your-api-key"HubClient() and AsyncHubClient() automatically read these environment variables.
If you reach the Hub through a non-tenant hostname (for example, internal Docker
networking such as http://backend:8000), also set the tenant host so the SDK
can address the right tenant:
export GISKARD_HUB_TENANT_HOST="your-hub-instance"This adds an X-Forwarded-Host header to every request. You only need it when
the host in GISKARD_HUB_BASE_URL is not the tenant host.
from giskard_hub import HubClient
hub = HubClient()
project = hub.projects.list()[0]
scan = hub.scans.create(
project_id=project.id,
agent_id="<agent-id>",
dataset_id="<dataset-id>",
)
print(scan)If you prefer, you can also pass api_key, base_url, and tenant_host directly to the client constructor.
For local development, we recommend using python-dotenv
to load GISKARD_HUB_BASE_URL and GISKARD_HUB_API_KEY from a local .env file
so that secrets are not stored in source control.
The SDK exposes convenience helpers on hub.helpers for common workflows such as running
evaluations over a dataset, waiting for asynchronous jobs to finish, and printing evaluation or
scan metrics.
For example, to run an evaluation with a local Python callable:
from giskard_hub import HubClient
from giskard_hub.type import ChatMessage
hub = HubClient()
def my_agent(messages: list[ChatMessage]) -> str:
# Your agent logic here
return "Hello from my agent"
evaluation = hub.helpers.evaluate(
agent=my_agent,
dataset="dataset-id",
name="My local evaluation",
)
completed = hub.helpers.wait_for_completion(evaluation)
hub.helpers.print_metrics(completed)Simply import AsyncHubClient instead of HubClient and use await with each API call:
import asyncio
from giskard_hub import AsyncHubClient
client = AsyncHubClient()
async def main() -> None:
projects = await client.projects.list()
print(projects)
asyncio.run(main())Functionality between the synchronous and asynchronous clients is otherwise identical.
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 'giskard-hub[aiohttp]'Then you can enable it by instantiating the client with http_client=DefaultAioHttpClient():
import asyncio
from giskard_hub import DefaultAioHttpClient
from giskard_hub import AsyncHubClient
async def main() -> None:
async with AsyncHubClient(
http_client=DefaultAioHttpClient(),
) as client:
projects = await client.projects.list()
print(projects.data)
asyncio.run(main())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.
Nested parameters are dictionaries, typed using TypedDict, for example:
from giskard_hub import HubClient
client = HubClient()
updated_dataset = client.datasets.update(
dataset_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
status={"total": 0},
)
print(updated_dataset.status)Request parameters that correspond to file uploads can be passed as bytes, or a PathLike instance or a tuple of (filename, contents, media type).
from pathlib import Path
from giskard_hub import HubClient
client = HubClient()
client.knowledge_bases.create(
name="My Knowledge Base",
project_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
file=Path("/path/to/file.jsonl"),
)The async client uses the exact same interface. If you pass a PathLike instance, the file contents will be read asynchronously automatically.
When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of giskard_hub.APIConnectionError is raised.
When the API returns a non-success status code (that is, 4xx or 5xx
response), a subclass of giskard_hub.APIStatusError is raised, containing status_code and response properties.
All errors inherit from giskard_hub.APIError.
import giskard_hub
from giskard_hub import HubClient
client = HubClient()
try:
client.projects.list()
except giskard_hub.APIConnectionError as e:
print("The server could not be reached")
print(e.__cause__) # an underlying Exception, likely raised within httpx.
except giskard_hub.RateLimitError as e:
print("A 429 status code was received; we should back off a bit.")
except giskard_hub.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 |
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 giskard_hub import HubClient
# Configure the default for all requests:
client = HubClient(
# default is 2
max_retries=0,
)
# Or, configure per-request:
client.with_options(max_retries=5).projects.list()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 giskard_hub import HubClient
# Configure the default for all requests:
client = HubClient(
# 20 seconds (default is 1 minute)
timeout=20.0,
)
# More granular control:
client = HubClient(
timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
)
# Override per-request:
client.with_options(timeout=5.0).projects.list()On timeout, an APITimeoutError is thrown.
Note that requests that time out are retried twice by default.
We use the standard library logging module.
You can enable logging by setting the environment variable GISKARD_HUB_LOG to info.
$ export GISKARD_HUB_LOG=infoOr to debug for more verbose logging.
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}.')The "raw" Response object can be accessed by prefixing .with_raw_response. to any HTTP method call, e.g.,
from giskard_hub import HubClient
client = HubClient()
response = client.projects.with_raw_response.list()
print(response.headers.get('X-My-Header'))
projects = response.parse() # get the object that `projects.list()` would have returned
print(projects)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.
The above interface eagerly reads the full response body when you make the request, which may not always be what you want.
To stream the response body, use .with_streaming_response instead, which requires a context manager and only reads the response body once you call .read(), .text(), .json(), .iter_bytes(), .iter_text(), .iter_lines() or .parse(). In the async client, these are async methods.
with client.projects.with_streaming_response.list() 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.
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.
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"))If you want to explicitly send an extra param, you can do so with the extra_query, extra_body, and extra_headers request
options.
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.
You can directly override the httpx client to customize it for your use case, including:
- Support for proxies
- Custom transports
- Additional advanced functionality
import httpx
from giskard_hub import HubClient, DefaultHttpxClient
client = HubClient(
# Or use the `GISKARD_HUB_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(...))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.
from giskard_hub import HubClient
with HubClient() as client:
# make requests here
...
# HTTP client is now closedThis package generally follows SemVer conventions, though certain backwards-incompatible changes may be released as minor versions:
- Changes that only affect static types, without breaking runtime behavior.
- 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.)
- 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.
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 giskard_hub
print(giskard_hub.__version__)Python 3.10 or higher.