Superglue MCP

# superglue-client A client library for accessing superglue AI API ## Usage First, create a client: ```python from superglue_client import Client client = Client(base_url="https://api.example.com") ``` If the endpoints you're going to hit require authentication, use `SuperglueClient` instead: ```python from superglue_client import SuperglueClient client = SuperglueClient(base_url="https://api.example.com", token="SuperSecretToken") ``` Now call your endpoint and use your models: ```python from superglue_client.models import MyDataModel from superglue_client.api.my_tag import get_my_data_model from superglue_client.types import Response with client as client: my_data: MyDataModel = get_my_data_model.sync(client=client) # or if you need more info (e.g. status_code) response: Response[MyDataModel] = get_my_data_model.sync_detailed(client=client) ``` Or do the same thing with an async version: ```python from superglue_client.models import MyDataModel from superglue_client.api.my_tag import get_my_data_model from superglue_client.types import Response async with client as client: my_data: MyDataModel = await get_my_data_model.asyncio(client=client) response: Response[MyDataModel] = await get_my_data_model.asyncio_detailed(client=client) ``` By default, when you're calling an HTTPS API it will attempt to verify that SSL is working correctly. Using certificate verification is highly recommended most of the time, but sometimes you may need to authenticate to a server (especially an internal server) using a custom certificate bundle. ```python client = SuperglueClient( base_url="https://internal_api.example.com", token="SuperSecretToken", verify_ssl="/path/to/certificate_bundle.pem", ) ``` You can also disable certificate validation altogether, but beware that **this is a security risk**. ```python client = SuperglueClient( base_url="https://internal_api.example.com", token="SuperSecretToken", verify_ssl=False ) ``` Things to know: 1. Every path/method combo becomes a Python module with four functions: 1. `sync`: Blocking request that returns parsed data (if successful) or `None` 1. `sync_detailed`: Blocking request that always returns a `Request`, optionally with `parsed` set if the request was successful. 1. `asyncio`: Like `sync` but async instead of blocking 1. `asyncio_detailed`: Like `sync_detailed` but async instead of blocking 1. All path/query params, and bodies become method arguments. 1. If your endpoint had any tags on it, the first tag will be used as a module name for the function (my_tag above) 1. Any endpoint which did not have a tag will be in `superglue_client.api.default` ## Advanced customizations There are more settings on the generated `Client` class which let you control more runtime behavior, check out the docstring on that class for more info. You can also customize the underlying `httpx.Client` or `httpx.AsyncClient` (depending on your use-case): ```python from superglue_client import Client def log_request(request): print(f"Request event hook: {request.method} {request.url} - Waiting for response") def log_response(response): request = response.request print(f"Response event hook: {request.method} {request.url} - Status {response.status_code}") client = Client( base_url="https://api.example.com", httpx_args={"event_hooks": {"request": [log_request], "response": [log_response]}}, ) # Or get the underlying httpx client to modify directly with client.get_httpx_client() or client.get_async_httpx_client() ``` You can even set the httpx client directly, but beware that this will override any existing settings (e.g., base_url): ```python import httpx from superglue_client import Client client = Client( base_url="https://api.example.com", ) # Note that base_url needs to be re-set, as would any shared cookies, headers, etc. client.set_httpx_client(httpx.Client(base_url="https://api.example.com", proxies="http://localhost:8030")) ``` ## Building / publishing this package This project uses [Poetry](https://python-poetry.org/) to manage dependencies and packaging. Here are the basics: 1. Update the metadata in pyproject.toml (e.g. authors, version) 1. If you're using a private repository, configure it with Poetry 1. `poetry config repositories.<your-repository-name> <url-to-your-repository>` 1. `poetry config http-basic.<your-repository-name> <username> <password>` 1. Publish the client with `poetry publish --build -r <your-repository-name>` or, if for public PyPI, just `poetry publish --build` If you want to install this client into another project without publishing it (e.g. for development) then: 1. If that project **is using Poetry**, you can simply do `poetry add <path-to-this-client>` from that project 1. If that project is not using Poetry: 1. Build a wheel with `poetry build -f wheel` 1. Install that wheel from the other project `pip install <path-to-wheel>`