Skip to main content

Utilities for the Fyodorov AI suite

Project description

Fyodorov Utils

GitHub Contributors GitHub Last Commit GitHub Issues GitHub Pull Requests

fyodorov_-_utils is a Python library that provides a collection of utility functions and classes used across multiple services within the Fyodorov project. The Fyodorov project is a suite of complementary services for working with LLM-based agents.

The library defines standard practices and includes tooling around logging, error handling, and authentication, as well as configuration management.

Error handling

There is a decorator which will handle errors for FastAPI endpoints. It will also log those errors in a consistent fashion without any input required. It can be used like this:

from fyodorov_utils.decorators.logging import error_handler

@app.post
@error_handler
def endpoint():
    return 

Authentication

You can import the authentication helper like so:

from fyodorov_utils.auth.auth import authenticate

@app.post('/endpoint')
@error_handler
def create_provider(provider: ProviderModel, user = Depends(authenticate)):
    return

This will require calls to that endpoint to be authenticated by the user's access token (which is a JWT). It also makes the user object available within the function for additional authentication or authorization logic.

Shared User Endpoints

There are certain endpoints around user actions that are shared functionality across all services. These include signing up, logging in, and creating API keys (which can be used for tools or third-party services). These endpoints are defined in the library and can be used like this:

# User endpoints
from fyodorov_utils.auth.endpoints import users_app
app.mount('/users', users_app)

Installation

You can install fyodorov_utils using pip:

pip install fyodorov-utils==0.2.11

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fyodorov_utils-0.3.9.tar.gz (7.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fyodorov_utils-0.3.9-py3-none-any.whl (9.0 kB view details)

Uploaded Python 3

File details

Details for the file fyodorov_utils-0.3.9.tar.gz.

File metadata

  • Download URL: fyodorov_utils-0.3.9.tar.gz
  • Upload date:
  • Size: 7.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for fyodorov_utils-0.3.9.tar.gz
Algorithm Hash digest
SHA256 59fdb5a7b980ae05ac9c374d80d3da9ada4fb297aa80e470aa4a3025cc00a424
MD5 f3c8182b854e238ac1a292d1fbda3693
BLAKE2b-256 fb27b5cf64b6349c0f8e57e6d317ddf09a9536685d8a75c88b369258ba620306

See more details on using hashes here.

File details

Details for the file fyodorov_utils-0.3.9-py3-none-any.whl.

File metadata

  • Download URL: fyodorov_utils-0.3.9-py3-none-any.whl
  • Upload date:
  • Size: 9.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for fyodorov_utils-0.3.9-py3-none-any.whl
Algorithm Hash digest
SHA256 53296e60127912ca97454dbb204e5428dc9efb8e9b591a2de7a817fad3118a44
MD5 8580a2d98f0446a9e7187c9cb7320f0f
BLAKE2b-256 a306bbaef5f39f2df9114769a81be1d4adf108ebfa822b7b09014ad15d907e6c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page