Skip to main content

Minimal universal LLM interface API

Project description

Toki

A minimal python library for talking to LLMs.

When using this library, in most cases one can simply switch the model name (e.g. 'openai/gpt-5' -> 'google/gemini-2.5-pro') and everything will just work.

Getting Started

pip install toki
from toki import Model, Agent, get_openrouter_api_key
from easyrepl import REPL

agent = Agent(
    Model('openai/gpt-5', get_openrouter_api_key())
)

for query in REPL():
    agent.add_user_message(query)
    for chunk in agent.execute(stream=True):
        print(chunk, end='', flush=True)
    print()

Features

  • Model: stateless class for talking to LLMs. includes blocking and streaming
  • Agent: class for maintaining conversation history when talking with a model
  • StateMachine/ClassStateMachine: tools for easily implementing complex agentic interaction scenarios

Backends

The primary backend is OpenRouter which provides REST API access to all major LLM models on the market

Issues

OpenAI models fail to work with tools

  • TODO: consider adding a separate backend just for openai. also consider adding a text only tools interface to skip around the issue

Dev

Rebuild models list file

toki-fetch-models
  • TODO: look into making this step part of the github action for publishing new version (or periodically checking the models list and auto updating/building new versions)

Project details


Download files

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

Source Distribution

toki-0.2.0.tar.gz (22.3 kB view details)

Uploaded Source

Built Distribution

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

toki-0.2.0-py3-none-any.whl (15.3 kB view details)

Uploaded Python 3

File details

Details for the file toki-0.2.0.tar.gz.

File metadata

  • Download URL: toki-0.2.0.tar.gz
  • Upload date:
  • Size: 22.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.18

File hashes

Hashes for toki-0.2.0.tar.gz
Algorithm Hash digest
SHA256 37e58fef1ec165646ab1b6f8ba1e81b5079c996ac738f7a19a57758fc033be20
MD5 bff90d9e150e693cf01072fd6ab3239c
BLAKE2b-256 9023a7dd4018e5146464969ae7f57d99a1235d6e75154d840e2eadba1f04253e

See more details on using hashes here.

File details

Details for the file toki-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: toki-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 15.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.18

File hashes

Hashes for toki-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 53119db215e541f15144ca7c4db63d9609faf00fb688478786484cc0532a2c2b
MD5 5073bdb81525b72e06d10cf5d9199a0e
BLAKE2b-256 ba42fc544891e29556d4a57a2ea8372a9ac531407237949b40b3026fa84bc307

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