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Conifer

Unified inference gateway connecting cloud models, self-hosted endpoints, and local hardware with request-level routing.

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Product Overview

What is Conifer?

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Conifer brings over 200 models and local inference behind a shared interface compatible with OpenAI and Anthropic clients. Developers can select an exact model or let its router choose per request, keeping suitable tasks on their hardware and sending others to cloud providers. It also handles provider failover, prompt caching, and per-request cost reporting without requiring separate integrations for each provider.


Key Features

  • Unified Model Gateway

    Access over 200 models through one API key and endpoint, or connect your own provider keys and compatible self-hosted endpoints.

  • Request-Level Routing

    Choose a specific model or let routing policies select one based on each request, with routes spanning local and cloud execution.

  • Local Model Execution

    Download and run supported GGUF models on Apple Silicon and Windows, keeping locally processed requests on your machine.

  • Provider Failover

    Automatically retry another provider when one fails, times out, or rate-limits, while preserving the requested model.

  • Existing Tool Compatibility

    Connect OpenAI- and Anthropic-compatible applications, including coding tools such as Claude Code, Codex, and Cursor.

  • Transparent Usage Costs

    Track the serving model and settled cost through response receipts, with cloud tokens billed at published model rates and no markup.


Use Cases

  • Multi-Model Applications : Build applications that access models from different providers without maintaining a separate integration for each.
  • Hybrid Inference Workflows : Keep suitable requests on local hardware while routing more demanding tasks to cloud models.
  • Coding Assistant Integration : Use existing coding environments with a shared gateway for model selection, provider failover, and cost tracking.
  • Private Local Processing : Run supported models locally to process sensitive prompts and documents without sending those requests to cloud providers.
  • Model Evaluation : Compare models through the same API interface while checking which model answered and how much each request cost.

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