haylanandClaude-Bot
930e407053
- docker-compose.yml: add --reasoning off to qwen-classifier per fast-model-choice.md's own recommendation (ggml-org/llama.cpp#20809 safety net) — missed in the original rollout, caught while writing this up. - docs/coding-cli-setup/qwen-code.md: rewritten to match what's actually deployed (qwen-classifier, partial GPU offload, 65536 ctx, Q4_K_XL) — previously described an unimplemented llama-server-fast/8192-ctx plan. Documents the non-interactive MCP tool allow-list gap found live-testing. - docs/coding-cli-setup/opencode.md: fix stale 65536 example that didn't match its own documented LLAMA_CTX_SIZE/LLAMA_PARALLEL formula (131072). - docs/research/fast-model-choice.md: implementation note recording where the actual rollout diverged from this doc's original recommendations (service name, quant, context size, CPU-first-then-GPU path). - docs/research/omniroute-account-semaphore-timeout.md: new — the hardcoded 30s per-connection semaphore timeout found during the pr-agent investigation, root-caused against OmniRoute's own source, and the maxConcurrent:null + providerSpecificData.timeoutMs fix. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
35 lines
3.1 KiB
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35 lines
3.1 KiB
Markdown
# Pointing a coding-agent CLI at this stack
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[← back to README](../../README.md)
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This stack routes through the [AI gateway](https://git.arthurerlich.de/haylan/LLM-Server/issues/9) (OmniRoute, see issue #31) rather than talking to llama.cpp directly — llama.cpp's own port is internal-only now (see `docker-compose.yml`). The gateway exposes:
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- **OpenAI-compatible**: `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1`
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- **Anthropic Messages API** (OmniRoute's own `/v1/messages` endpoint, translating to the OpenAI-compatible backend): `http://<ai-box>:${OMNIROUTE_PORT:-4000}`
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Both serve the same underlying model — `Qwen3.8-27B-UD-Q4_K_XL.gguf`, registered in the gateway (naming is yours to pick when adding the llama-cpp provider connection — these docs assume `qwen3.8-27b-local` for continuity) — behind whichever wire format the client speaks.
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`<ai-box>` is this machine's LAN address, or `proxy-ai.home` if your local DNS resolves that hostname directly to the box — see `docs/network-access.md`. If you're running a coding CLI from this machine itself, `localhost` works too.
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**Each CLI needs its own virtual key** — create one per docs/proxy-key-onboarding.md (omniroute's dashboard, `<workload>-<purpose>` naming, e.g. `claude-code-cli`, `kimi-cli`, `opencode-cli`). No budget set by default. These are the machine's interactive/high-priority workloads per `docs/proxy-request-priority.md`.
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> **Read this before relying on it for real work.** Qwen3.8-27B's tool-calling has **documented, open llama.cpp upstream bugs** (parser fails on text before `<tool_call>`, tool calls emitted as inert XML inside thinking blocks — see `docs/research/qwen3.8-27b-tool-calling.md`). Every CLI below inherits this risk identically, regardless of wire format. Don't trust it for unattended multi-step agentic work until you've run the smoke test in [issue #5](https://git.arthurerlich.de/haylan/LLM-Server/issues/5) (and the proxy-specific smoke test in [issue #17](https://git.arthurerlich.de/haylan/LLM-Server/issues/17)).
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## Per-CLI setup
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- [Claude Code CLI](claude-code.md)
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- [Kimi CLI](kimi-cli.md)
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- [OpenCode CLI](opencode.md)
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- [Qwen Code CLI](qwen-code.md)
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## Summary
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| CLI | Wire format | Endpoint | Config |
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| [Claude Code](claude-code.md) | Anthropic Messages | `http://<ai-box>:${OMNIROUTE_PORT:-4000}` | `ANTHROPIC_BASE_URL` env var |
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| [Kimi CLI](kimi-cli.md) | OpenAI Chat Completions | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `config.toml` provider block |
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| [OpenCode](opencode.md) | OpenAI Chat Completions | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `opencode.json` provider block |
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| [Qwen Code](qwen-code.md) | OpenAI Chat Completions (2 models: chat + `fastModel`) | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `~/.qwen/settings.json` `modelProviders.openai` |
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Further reading: `docs/research/qwen3.8-27b-tool-calling.md`, `docs/proxy-key-onboarding.md`, `docs/research/omniroute-account-semaphore-timeout.md` (a connection that can only handle a few concurrent requests — like `llama-server` or `qwen-classifier` — hits a hardcoded 30s reject once more requests queue up than its `maxConcurrent`, unless configured around it).
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