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- Add docs/LLM_PROVIDERS.md with setup instructions for all supported providers - Expand .env.example with Together AI and Fireworks AI example configs - Add "Alternative LLM Providers" section to README with quickstart snippet Co-authored-by: Claude Sonnet 4.6 <[email protected]> Co-authored-by: firat.sertgoz <[email protected]>
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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.
Provider Overview
| Provider | Backend value | Requires API key | Notes |
|---|---|---|---|
| NEAR AI | nearai |
OAuth (browser) | Default; multi-model |
| Anthropic | anthropic |
ANTHROPIC_API_KEY |
Claude models |
| OpenAI | openai |
OPENAI_API_KEY |
GPT models |
| Ollama | ollama |
No | Local inference |
| OpenRouter | openai_compatible |
LLM_API_KEY |
300+ models |
| Together AI | openai_compatible |
LLM_API_KEY |
Fast inference |
| Fireworks AI | openai_compatible |
LLM_API_KEY |
Fast inference |
| vLLM / LiteLLM | openai_compatible |
Optional | Self-hosted |
| LM Studio | openai_compatible |
No | Local GUI |
NEAR AI (default)
No additional configuration required. On first run, ironclaw onboard opens a browser
for OAuth authentication. Credentials are saved to ~/.ironclaw/session.json.
NEARAI_MODEL=claude-3-5-sonnet-20241022
NEARAI_BASE_URL=https://private.near.ai
Anthropic (Claude)
LLM_BACKEND=anthropic
ANTHROPIC_API_KEY=sk-ant-...
Popular models: claude-sonnet-4-20250514, claude-3-5-sonnet-20241022, claude-3-5-haiku-20241022
OpenAI (GPT)
LLM_BACKEND=openai
OPENAI_API_KEY=sk-...
Popular models: gpt-4o, gpt-4o-mini, o3-mini
Ollama (local)
Install Ollama from ollama.com, pull a model, then:
LLM_BACKEND=ollama
OLLAMA_MODEL=llama3.2
# OLLAMA_BASE_URL=http://localhost:11434 # default
Pull a model first: ollama pull llama3.2
OpenAI-Compatible Endpoints
All providers below use LLM_BACKEND=openai_compatible. Set LLM_BASE_URL to the
provider's OpenAI-compatible endpoint and LLM_API_KEY to your API key.
OpenRouter
OpenRouter routes to 300+ models from a single API key.
LLM_BACKEND=openai_compatible
LLM_BASE_URL=https://openrouter.ai/api/v1
LLM_API_KEY=sk-or-...
LLM_MODEL=anthropic/claude-sonnet-4
Popular OpenRouter model IDs:
| Model | ID |
|---|---|
| Claude Sonnet 4 | anthropic/claude-sonnet-4 |
| GPT-4o | openai/gpt-4o |
| Llama 4 Maverick | meta-llama/llama-4-maverick |
| Gemini 2.0 Flash | google/gemini-2.0-flash-001 |
| Mistral Small | mistralai/mistral-small-3.1-24b-instruct |
Browse all models at openrouter.ai/models.
Together AI
Together AI provides fast inference for open-source models.
LLM_BACKEND=openai_compatible
LLM_BASE_URL=https://api.together.xyz/v1
LLM_API_KEY=...
LLM_MODEL=meta-llama/Llama-3.3-70B-Instruct-Turbo
Popular Together AI model IDs:
| Model | ID |
|---|---|
| Llama 3.3 70B | meta-llama/Llama-3.3-70B-Instruct-Turbo |
| DeepSeek R1 | deepseek-ai/DeepSeek-R1 |
| Qwen 2.5 72B | Qwen/Qwen2.5-72B-Instruct-Turbo |
Fireworks AI
Fireworks AI offers fast inference with compound AI system support.
LLM_BACKEND=openai_compatible
LLM_BASE_URL=https://api.fireworks.ai/inference/v1
LLM_API_KEY=fw_...
LLM_MODEL=accounts/fireworks/models/llama4-maverick-instruct-basic
vLLM / LiteLLM (self-hosted)
For self-hosted inference servers:
LLM_BACKEND=openai_compatible
LLM_BASE_URL=http://localhost:8000/v1
LLM_API_KEY=token-abc123 # set to any string if auth is not configured
LLM_MODEL=meta-llama/Llama-3.1-8B-Instruct
LiteLLM proxy (forwards to any backend, including Bedrock, Vertex, Azure):
LLM_BACKEND=openai_compatible
LLM_BASE_URL=http://localhost:4000/v1
LLM_API_KEY=sk-...
LLM_MODEL=gpt-4o # as configured in litellm config.yaml
LM Studio (local GUI)
Start LM Studio's local server, then:
LLM_BACKEND=openai_compatible
LLM_BASE_URL=http://localhost:1234/v1
LLM_MODEL=llama-3.2-3b-instruct-q4_K_M
# LLM_API_KEY is not required for LM Studio
Using the Setup Wizard
Instead of editing .env manually, run the onboarding wizard:
ironclaw onboard
Select "OpenAI-compatible" for OpenRouter, Together AI, Fireworks, vLLM, LiteLLM, or LM Studio. You will be prompted for the base URL and (optionally) an API key. The model name is configured in the following step.