# `ExAthena.Providers.ReqLLM`
[🔗](https://github.com/udin-io/ex_athena/blob/v0.7.1/lib/ex_athena/providers/req_llm.ex#L1)

Delegating provider that runs requests through the `req_llm` library.

`req_llm` ships 18+ providers (OpenAI, Anthropic, Ollama, LM Studio,
OpenRouter, Groq, Together, DeepInfra, Vercel, Mistral, Gemini, Cohere,
Bedrock, llama.cpp, vLLM, …) with a canonical data model and `models.dev`
cost/context metadata. ExAthena delegates to it instead of maintaining
per-provider modules.

## Usage

Callers identify a model via the `req_llm` two-part spec
(`"provider:model-id"` or a `{provider, model_id}` tuple):

    ExAthena.query("hi",
      provider: :req_llm,
      model: "ollama:llama3.1",
      base_url: "http://localhost:11434"
    )

    ExAthena.query("hi",
      provider: :req_llm,
      model: "anthropic:claude-opus-4-5",
      api_key: System.get_env("ANTHROPIC_API_KEY")
    )

The provider atoms `:ollama`, `:openai`, `:openai_compatible`, `:llamacpp`,
`:claude`, `:mock` continue to route here via `ExAthena.Config` and are
translated to the appropriate `req_llm` model spec.

## Capabilities

Reported statically at `:native_tool_calls / :streaming / :json_mode`
= true, reflecting req_llm's superset. The loop's auto-fallback handles
individual-model quirks (e.g. Ollama models without native tool-calls).

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*Consult [api-reference.md](api-reference.md) for complete listing*