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docs/LLM_PROVIDERS.md
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# LLM Provider Configuration
IronClaw defaults to NEAR AI for model access, but supports any OpenAI-compatible
endpoint as well as Anthropic and Ollama directly. This guide covers the most common
configurations.
endpoint as well as Anthropic, Ollama, and Google Gemini directly. This guide covers
the most common configurations.
## Provider Overview
@@ -11,12 +11,13 @@ configurations.
| NEAR AI | `nearai` | OAuth (browser) | Default; multi-model |
| Anthropic | `anthropic` | `ANTHROPIC_API_KEY` | Claude models |
| OpenAI | `openai` | `OPENAI_API_KEY` | GPT models |
| Google Gemini | `gemini` | `GEMINI_API_KEY` | Gemini models |
| Google Gemini | `gemini_oauth` | OAuth (browser) | Gemini models; function calling |
| io.net | `ionet` | `IONET_API_KEY` | Intelligence API |
| Mistral | `mistral` | `MISTRAL_API_KEY` | Mistral models |
| Yandex AI Studio | `yandex` | `YANDEX_API_KEY` | YandexGPT models |
| MiniMax | `minimax` | `MINIMAX_API_KEY` | MiniMax-M2.7 models |
| Cloudflare Workers AI | `cloudflare` | `CLOUDFLARE_API_KEY` | Access to Workers AI |
| GitHub Copilot | `github_copilot` | `GITHUB_COPILOT_TOKEN` | Multi-models |
| Ollama | `ollama` | No | Local inference |
| AWS Bedrock | `bedrock` | AWS credentials | Native Converse API |
| OpenRouter | `openai_compatible` | `LLM_API_KEY` | 300+ models |
@@ -61,6 +62,79 @@ Popular models: `gpt-4o`, `gpt-4o-mini`, `o3-mini`
---
## Google Gemini (OAuth)
Uses Google OAuth with PKCE (S256) for authentication — no API key required.
On first run, a browser opens for Google account login. Credentials (including
refresh token) are saved to `~/.gemini/oauth_creds.json` with `0600` permissions.
```env
LLM_BACKEND=gemini_oauth
GEMINI_MODEL=gemini-2.5-flash
```
### Supported features
| Feature | Status | Notes |
|---|---|---|
| Function calling | ✅ | `functionDeclarations` / `functionCall` / `functionResponse` |
| `generationConfig` | ✅ | `temperature`, `maxOutputTokens` passed from request |
| `thinkingConfig` | ✅ | `thinkingBudget`/`thinkingLevel` for thinking-capable models (does NOT set `includeThoughts`) |
| `toolConfig` | ✅ | `functionCallingConfig.mode`: `AUTO`/`ANY`/`NONE` |
| SSE streaming | ✅ | Cloud Code API with `streamGenerateContent?alt=sse` |
| Token refresh | ✅ | Automatic via refresh token |
### Popular models
| Model | ID | Notes |
|---|---|---|
| Gemini 3.1 Pro | `gemini-3.1-pro-preview` | Latest, strongest reasoning |
| Gemini 3.1 Pro Custom Tools | `gemini-3.1-pro-preview-customtools` | Enhanced tool use |
| Gemini 3 Pro | `gemini-3-pro-preview` | Preview |
| Gemini 3 Flash | `gemini-3-flash-preview` | Fast preview with thinking |
| Gemini 3.1 Flash Lite | `gemini-3.1-flash-lite-preview` | Preview, lightweight |
| Gemini 2.5 Pro | `gemini-2.5-pro` | Stable, strong reasoning |
| Gemini 2.5 Flash | `gemini-2.5-flash` | Fast, good quality |
| Gemini 2.5 Flash Lite | `gemini-2.5-flash-lite` | Fastest, lightweight |
### Cloud Code API vs standard API
Models containing `-preview` (with hyphen) or `gemini-3` in the name, as well
as any `gemini-` model with major version >= 2, route through the Cloud Code
API (`cloudcode-pa.googleapis.com`) which supports SSE streaming
and project-scoped access. Other models use the standard Generative Language
API (`generativelanguage.googleapis.com`).
---
## GitHub Copilot
GitHub Copilot exposes chat endpoint at
`https://api.githubcopilot.com`. IronClaw uses that endpoint directly through the
built-in `github_copilot` provider.
```env
LLM_BACKEND=github_copilot
GITHUB_COPILOT_TOKEN=gho_...
GITHUB_COPILOT_MODEL=gpt-4o
# Optional advanced headers if your setup needs them:
# GITHUB_COPILOT_EXTRA_HEADERS=Copilot-Integration-Id:vscode-chat
```
`ironclaw onboard` can acquire this token for you using GitHub device login. If you
already signed into Copilot through VS Code or a JetBrains IDE, you can also reuse
the `oauth_token` stored in `~/.config/github-copilot/apps.json`. If you prefer,
`LLM_BACKEND=github-copilot` also works as an alias.
Popular models vary by subscription, but `gpt-4o` is a safe default. IronClaw keeps
model entry manual for this provider because GitHub Copilot model listing may require
extra integration headers on some clients. IronClaw automatically injects the standard
VS Code identity headers (`User-Agent`, `Editor-Version`, `Editor-Plugin-Version`,
`Copilot-Integration-Id`) and lets you override them with
`GITHUB_COPILOT_EXTRA_HEADERS`.
---
## Ollama (local)
Install Ollama from [ollama.com](https://ollama.com), pull a model, then: