docs(readme): add WSL + Ollama local-model setup guide
Document running claw against a local Ollama server over its OpenAI-compatible endpoint: build, env vars (OPENAI_BASE_URL / OPENAI_API_KEY), the exact colon-tag model-name requirement (`qwen3.5:9b`, not `qwen3.5-9b`), how to list installed tags, a WSL connectivity note, and reasoning-model behaviour. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@ -40,6 +40,48 @@ Or provide an OAuth bearer token directly:
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export ANTHROPIC_AUTH_TOKEN="anthropic-oauth-or-proxy-bearer-token"
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export ANTHROPIC_AUTH_TOKEN="anthropic-oauth-or-proxy-bearer-token"
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```
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```
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### Local models via Ollama (WSL)
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Claw works with any OpenAI-compatible endpoint, including a local
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[Ollama](https://ollama.com) server. This is handy for offline use or for
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driving the CLI from WSL against models served on the Windows host.
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```bash
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cd rust/
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# 1. Build the release binary
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cargo build --release
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# 2. Point claw at the local Ollama OpenAI-compatible endpoint
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export OPENAI_BASE_URL="http://127.0.0.1:11434/v1"
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export OPENAI_API_KEY="ollama" # any non-empty value works; Ollama ignores it
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# 3. Run. Prefix the model with `openai/` so prefix routing selects the
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# OpenAI-compatible provider, and use the exact Ollama tag.
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./target/release/claw --model openai/qwen3.5:9b
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```
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**The model name must match the Ollama tag exactly.** Ollama tags use a colon
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(`name:tag`), e.g. `qwen3.5:9b` — not a hyphen (`qwen3.5-9b`), which the server
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rejects with `404 ... model not found`. Routing to the OpenAI-compatible
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provider only kicks in when `OPENAI_BASE_URL` is set and the model name contains
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a `:` or `.`, so always pass the full tag. List the installed tags with:
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```bash
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ollama list # native view
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curl -s http://127.0.0.1:11434/v1/models # OpenAI-compatible view
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```
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> **WSL note:** when Ollama runs on the Windows host, WSL 2 forwards
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> `127.0.0.1:11434` automatically. If the connection is refused, start Ollama on
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> the host (`ollama serve`) or point `OPENAI_BASE_URL` at the host IP instead of
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> `127.0.0.1`.
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Reasoning ("thinking") models such as Qwen3 are supported. Ollama streams the
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chain-of-thought in a `reasoning` field with an empty `content`; claw surfaces it
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as a separate thinking block so both the reasoning trace and the final answer are
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rendered.
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## Mock parity harness
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## Mock parity harness
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The workspace now includes a deterministic Anthropic-compatible mock service and a clean-environment CLI harness for end-to-end parity checks.
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The workspace now includes a deterministic Anthropic-compatible mock service and a clean-environment CLI harness for end-to-end parity checks.
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