Skip to main content

A local proxy that provides a singular OpenAI compatible API for all your AI services. Try it out with your Jetbrains IDE

Project description

demuxai

EXPERIMENTAL: this is a work-in-progress, and for local usage. Not for production!

A lightweight proxy that provides a singular OpenAI compatible API for all your AI services.

  • Aggregates upstream APIs' models and prefixes them with a provider ID
  • The provider ID is used to route the request to the upstream provider
  • Before sending the request upstream, the provider ID is stripped from the request

Named after a demultiplexer, takes one input and distributes it to one or more outputs.

Background

I wanted an API proxy that I could configure in my Jetbrains IDE, but not limit me to that provider for all settings. For example, I use a local Ollama model for instant completion, and other providers for chat or agentic tasks. Additionally, there are many free tiers available, so this abstraction layer can implement more advanced routing behaviors to take full advantage of free offerings, without interruption.

Features

Supports the following providers:

  • Ollama
  • Ollama Cloud
  • Github Models
  • Mistral AI (and Codestral)
  • Fireworks AI Serverless

Currently, demuxai has the following capabilities:

  • Legacy completion endpoint
  • Chat completion
  • FIM completion
  • Embedding generation
  • Streaming responses

Planned

The following features are planned:

  • Timing statistics (WIP)
  • Token statistics (WIP)
  • Complete most of the API spec
  • Completion ID routing back to the original provider
  • Round-robin and failover providers
  • Consensus providers to summarize responses from multiple upstream providers
  • Split providers that route to upstream providers based off content type (i.e. python vs JS)
  • Configuration like routedns

Alternatives

  • Need a full-featured proxy or GUI? Checkout bifrost
  • Need more providers? Checkout LiteLLM

Running

Create a config.yml (see config.spec.yml) and run demuxai in the directory of that file, or pass its path as -c /path/to/config.yml. Run demuxai -h to see help information.

demuxai -c /path/to/config.yml

Example config

Export your API keys in environment variables with the names specified in each ${...}. Remove any providers you don't use.

demuxai:
  listen: '127.0.0.1'
  port: 6041
  cache_seconds: 3600
  timeout_seconds: 300

  providers:
    ollama:
      type: ollama
      name: Local Ollama
      description: Local Ollama for testing

    mistral:
      type: mistralai
      name: Mistral AI
      api_key: ${MISTRAL_API_KEY}
      exclude_models:
        - voxtral-*
        - mistral-ocr-*
        - mistral-moderation-*

    codestral:
      type: codestral
      name: Codestral from Mistral AI
      api_key: ${CODESTRAL_API_KEY}

    github:
      type: github
      name: GitHub Models
      api_key: ${GITHUB_TOKEN}

    fireworks:
      type: fireworks
      name: Fireworks AI Serverless
      api_key: ${FIREWORKS_API_KEY}
      exclude_models:
        - accounts/fireworks/models/flux*

AI Disclosure

LLMs were used in the development of this project, mostly for brainstorming and bootstrapping code, particularly tests. The contribution proportion is roughly 80 / 20, human and AI code respectively.

License

MIT :: Copyright 2026 Blaine Jester

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

demuxai-0.0.2-py3-none-any.whl (34.0 kB view details)

Uploaded Python 3

File details

Details for the file demuxai-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: demuxai-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 34.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for demuxai-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fc88fd486cece66e294a75950ed69020995347a46578a74d18b6c094ace6277c
MD5 3d9c1b99a659682d21068e2576a9ea8b
BLAKE2b-256 2222c90fa407dfb75d47c4d814e6f866de448a44b8da0ca9814b8850ea7b8ec8

See more details on using hashes here.

Provenance

The following attestation bundles were made for demuxai-0.0.2-py3-none-any.whl:

Publisher: release.yml on bjester/demuxai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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