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| Author | SHA1 | Date | |
|---|---|---|---|
  haylanandClaude-Bot
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6f4e736da8 | ||
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haylanandClaude-Bot
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1fcf30e9a1 | ||
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haylanandClaude-Bot
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e151aa6ffe | ||
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haylanandClaude-Bot
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feb7469f0b |
@@ -105,6 +105,34 @@ COMFYUI_PGID=
|
||||
HOST_VIDEO_GID=
|
||||
HOST_RENDER_GID=
|
||||
|
||||
# --- llama.cpp / fast model (second, always-resident instance — see
|
||||
# docs/research/fast-model-choice.md and issue #44) ---
|
||||
# Qwen3-4B-Instruct-2507: architecturally non-thinking (never emits
|
||||
# <think> blocks, unlike Qwen3-1.7B/0.6B which need a per-call toggle) —
|
||||
# picked specifically so it stays fast enough for qwen-code's Auto Mode
|
||||
# classifier (Stage 1 wants ~300ms). Same publisher (unsloth) as the main
|
||||
# model for consistency.
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||||
LLAMA_FAST_MODEL_FILE=Qwen3-4B-Instruct-2507-UD-Q8_K_XL.gguf
|
||||
# Same reasoning as LLAMA_GPU_LAYERS above — full GPU offload, this model
|
||||
# is dense too.
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||||
LLAMA_FAST_GPU_LAYERS=999
|
||||
# --ctx-size is the TOTAL across every LLAMA_FAST_PARALLEL slot, not per
|
||||
# request — same halving already called out for the main model above.
|
||||
# Was PARALLEL=2, silently halving this to 4096/slot — too small: a real
|
||||
# classifier call (hints + environment + recent tool-call history) hit
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||||
# "exceeds the available context size (4096 tokens)" in practice, which
|
||||
# qwen-code surfaces as "Auto Mode couldn't classify this action
|
||||
# (Classifier stage 1 unavailable)" — see issue #5. Fixed by dropping to
|
||||
# a single slot instead of raising ctx-size (no extra VRAM, and this
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||||
# service doesn't need concurrent classifier calls the way the main
|
||||
# model needs concurrent chat sessions) — the full 8192 now goes to the
|
||||
# one slot. If hints.allow/softDeny/hardDeny ever approach their
|
||||
# 50-entries-each ceiling, raise LLAMA_FAST_CTX_SIZE instead — qwen-code
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||||
# caps those at 200 chars x 150 entries plus 40,000 chars of
|
||||
# historical-action context, which can exceed 8192 tokens worst-case.
|
||||
LLAMA_FAST_CTX_SIZE=8192
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||||
LLAMA_FAST_PARALLEL=1
|
||||
|
||||
# --- ComfyUI diffusion model (Qwen-Image, FP8 — see docs/research/
|
||||
# image-generation-model-choice.md and issue #42) ---
|
||||
# Three files: diffusion weights, text encoder, VAE — all from the official
|
||||
|
||||
@@ -14,7 +14,7 @@ See the wayfinder map ([issue #1](https://git.arthurerlich.de/haylan/LLM-Server/
|
||||
|
||||
llama.cpp's own API is internal-only — everything routes through the AI gateway below.
|
||||
|
||||
Pointing Claude Code CLI, Kimi CLI, or OpenCode CLI at the local endpoint: see [`docs/coding-cli-setup.md`](docs/coding-cli-setup.md).
|
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Pointing Claude Code CLI, Kimi CLI, OpenCode CLI, or Qwen Code CLI at the local endpoint: see [`docs/coding-cli-setup/`](docs/coding-cli-setup/index.md).
|
||||
|
||||
**Known risk**: Qwen3.8-27B's tool-calling reliability against llama.cpp's Anthropic shim is not yet verified (open upstream parser bugs against its model lineage) — see `docs/research/qwen3.8-27b-tool-calling.md`.
|
||||
|
||||
@@ -26,15 +26,10 @@ An [AI gateway/proxy](https://git.arthurerlich.de/haylan/LLM-Server/issues/9) fr
|
||||
- Dashboard (key/provider management): LAN/host-only, never published to the internet — see `docs/network-access.md`.
|
||||
- Issuing a key for a new workload: [`docs/proxy-key-onboarding.md`](docs/proxy-key-onboarding.md).
|
||||
|
||||
Coding CLIs (see [`docs/coding-cli-setup.md`](docs/coding-cli-setup.md)) route through the gateway — llama-server has no published host port. **Not yet verified**: none of this has been smoke-tested on real hardware yet — see [issue #31](https://git.arthurerlich.de/haylan/LLM-Server/issues/31)'s tickets for the open items (provider registration, per-workload key minting).
|
||||
Coding CLIs (see [`docs/coding-cli-setup/`](docs/coding-cli-setup/index.md)) route through the gateway — llama-server has no published host port. **Not yet verified**: none of this has been smoke-tested on real hardware yet — see [issue #31](https://git.arthurerlich.de/haylan/LLM-Server/issues/31)'s tickets for the open items (provider registration, per-workload key minting).
|
||||
|
||||
**Note on this choice**: OmniRoute's own docs (`docs/security/STEALTH_GUIDE.md`, `MITM-TPROXY-DECRYPT.md`, `PUBLIC_CREDS.md` in its repo) describe shipped features for evading AI-provider client detection, system-wide HTTPS interception via a locally-installed root CA, and hiding credentials from secret scanners. None of that is used by this stack's configuration, but it's a real characteristic of the upstream project — see issue #31's Notes for the full research trail before extending this integration further.
|
||||
|
||||
### Web search
|
||||
|
||||
The gateway also fronts SearXNG-backed web search — see `docs/research/litellm-searxng-search.md` for the original research (still applicable — same standalone-endpoint pattern, see issue #31's #35).
|
||||
|
||||
## What's not here
|
||||
|
||||
- **Open WebUI** — this stack has no chat UI; every client is a coding CLI. Removed rather than kept idle.
|
||||
- **Gateway-level knowledgebase/memory** (`litellm-pgvector`, `pgvector-db`, a dedicated embedding model) — removed as unwanted, unrelated to OmniRoute's own lack of parity with it (see issue #31's #34). Superseded by OmniRoute's own built-in memory feature (opt-in via the dashboard, Settings → Memory): vector store is its bundled `sqlite-vec`, embeddings are a local ONNX model (Transformers.js, ~400MB, downloaded into the `omniroute-data` volume on first use) — no external services, no static config here.
|
||||
|
||||
+67
-4
@@ -15,7 +15,8 @@ services:
|
||||
ipc: host
|
||||
# Caps this process's HIP hardware-queue allocation — works around
|
||||
# ROCm/ROCm#5706 (GPU pinned at 100%/boost-clock whenever two
|
||||
# concurrent HIP contexts touch this card). See the research doc above.
|
||||
# concurrent HIP contexts touch this card, confirmed on real hardware
|
||||
# against llama-server-fast below). See the research doc above.
|
||||
environment:
|
||||
- GPU_MAX_HW_QUEUES=1
|
||||
volumes:
|
||||
@@ -46,6 +47,49 @@ services:
|
||||
- "lazytainer.group.llamaserver.inactiveTimeout=${LAZYTAINER_INACTIVE_TIMEOUT:-900}"
|
||||
- "lazytainer.group.llamaserver.minPacketThreshold=2"
|
||||
|
||||
llama-server-fast:
|
||||
image: ghcr.io/ggml-org/llama.cpp:server-rocm
|
||||
container_name: llama-server-fast
|
||||
devices:
|
||||
- /dev/kfd
|
||||
- /dev/dri
|
||||
group_add:
|
||||
- "${HOST_VIDEO_GID:?run scripts/update.sh first to resolve this}"
|
||||
- "${HOST_RENDER_GID:?run scripts/update.sh first to resolve this}"
|
||||
security_opt:
|
||||
- seccomp=unconfined
|
||||
ipc: host
|
||||
# See llama-server's identical setting above — same fix, same bug.
|
||||
environment:
|
||||
- GPU_MAX_HW_QUEUES=1
|
||||
volumes:
|
||||
- models:/models
|
||||
command: >
|
||||
-m /models/${LLAMA_FAST_MODEL_FILE:-Qwen3-4B-Instruct-2507-UD-Q8_K_XL.gguf}
|
||||
--host 0.0.0.0
|
||||
--port 8080
|
||||
--n-gpu-layers ${LLAMA_FAST_GPU_LAYERS:-999}
|
||||
--ctx-size ${LLAMA_FAST_CTX_SIZE:-8192}
|
||||
--parallel ${LLAMA_FAST_PARALLEL:-1}
|
||||
--flash-attn on
|
||||
--cache-type-k q8_0
|
||||
--cache-type-v q8_0
|
||||
--reasoning off
|
||||
--jinja
|
||||
# Second, always-resident llama.cpp instance — small non-thinking model
|
||||
# used as qwen-code's Auto Mode classifier fastModel, alongside the main
|
||||
# 27B instance above. See docs/research/fast-model-choice.md and #44.
|
||||
# Same ai-stack-only pattern as llama-server: no published host port.
|
||||
expose:
|
||||
- "8080"
|
||||
restart: unless-stopped
|
||||
networks: [ai-stack]
|
||||
labels:
|
||||
- "lazytainer.group.llamaserverfast.sleepMethod=stop"
|
||||
- "lazytainer.group.llamaserverfast.ports=8080"
|
||||
- "lazytainer.group.llamaserverfast.inactiveTimeout=${LAZYTAINER_INACTIVE_TIMEOUT:-900}"
|
||||
- "lazytainer.group.llamaserverfast.minPacketThreshold=2"
|
||||
|
||||
# ponytail: one-off downloader, not a standing service — run via
|
||||
# `docker compose --profile tools run --rm downloader`. Folded into
|
||||
# scripts/update.sh, which runs this every time; the `test -f` guard is
|
||||
@@ -67,9 +111,26 @@ services:
|
||||
curl -L --fail --create-dirs -o /models/${LLAMA_MODEL_FILE:-Qwen3.8-27B-UD-Q4_K_XL.gguf}
|
||||
https://huggingface.co/unsloth/Qwen3.8-27B-GGUF/resolve/main/${LLAMA_MODEL_FILE:-Qwen3.8-27B-UD-Q4_K_XL.gguf}
|
||||
|
||||
# Same test -f guard pattern as downloader above — fetches the second,
|
||||
# smaller model for llama-server-fast. See issue #44.
|
||||
downloader-fast:
|
||||
image: curlimages/curl:latest
|
||||
profiles: ["tools"]
|
||||
user: root
|
||||
volumes:
|
||||
- models:/models
|
||||
entrypoint: ["sh", "-c"]
|
||||
command:
|
||||
- >
|
||||
test -f /models/${LLAMA_FAST_MODEL_FILE:-Qwen3-4B-Instruct-2507-UD-Q8_K_XL.gguf} &&
|
||||
echo "already downloaded, skipping" ||
|
||||
curl -L --fail --create-dirs -o /models/${LLAMA_FAST_MODEL_FILE:-Qwen3-4B-Instruct-2507-UD-Q8_K_XL.gguf}
|
||||
https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF/resolve/main/${LLAMA_FAST_MODEL_FILE:-Qwen3-4B-Instruct-2507-UD-Q8_K_XL.gguf}
|
||||
|
||||
# Fetches the three Qwen-Image FP8 files ComfyUI needs (diffusion model,
|
||||
# text encoder, VAE) — same test -f guard pattern as downloader above.
|
||||
# See docs/research/image-generation-model-choice.md and issue #42.
|
||||
# text encoder, VAE) — same test -f guard pattern as downloader/
|
||||
# downloader-fast above. See docs/research/image-generation-model-choice.md
|
||||
# and issue #42.
|
||||
#
|
||||
# ponytail: target paths assume ComfyUI's standard models/ layout under
|
||||
# BASE_STORAGE_PATH (/storage) — same "not independently confirmed against
|
||||
@@ -123,7 +184,7 @@ services:
|
||||
# This image also wants GID env vars directly (its own README asks
|
||||
# for both these and group_add above) — same HOST_VIDEO_GID/
|
||||
# HOST_RENDER_GID resolved by scripts/update.sh, shared with
|
||||
# llama-server now instead of comfyui-only vars.
|
||||
# llama-server/llama-server-fast now instead of comfyui-only vars.
|
||||
- PUID=${COMFYUI_PUID}
|
||||
- PGID=${COMFYUI_PGID}
|
||||
- VIDEO_GID=${HOST_VIDEO_GID}
|
||||
@@ -159,6 +220,8 @@ services:
|
||||
depends_on:
|
||||
llama-server:
|
||||
condition: service_started
|
||||
llama-server-fast:
|
||||
condition: service_started
|
||||
volumes:
|
||||
- omniroute-data:/app/data
|
||||
env_file: .env
|
||||
|
||||
@@ -1,91 +0,0 @@
|
||||
# Pointing a coding-agent CLI at this stack
|
||||
|
||||
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:
|
||||
|
||||
- **OpenAI-compatible**: `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1`
|
||||
- **Anthropic Messages API** (OmniRoute's own `/v1/messages` endpoint, translating to the OpenAI-compatible backend): `http://<ai-box>:${OMNIROUTE_PORT:-4000}`
|
||||
|
||||
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 — this doc assumes `qwen3.8-27b-local` for continuity) — behind whichever wire format the client speaks.
|
||||
|
||||
`<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.
|
||||
|
||||
**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`.
|
||||
|
||||
> **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 setup below inherits this risk identically, regardless of which CLI or wire format you use. 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)).
|
||||
|
||||
## Claude Code CLI
|
||||
|
||||
Claude Code speaks the **Anthropic Messages API** — point it at the gateway's unified endpoint, not llama.cpp directly:
|
||||
|
||||
```bash
|
||||
export ANTHROPIC_BASE_URL=http://<ai-box>:${OMNIROUTE_PORT:-4000}
|
||||
export ANTHROPIC_API_KEY=<claude-code-cli virtual key>
|
||||
claude
|
||||
```
|
||||
|
||||
Requires llama.cpp's `--jinja` flag (already set in `docker-compose.yml`) — without it, tool-use requests fail outright.
|
||||
|
||||
## Kimi CLI
|
||||
|
||||
Kimi CLI speaks plain **OpenAI Chat Completions**. Configure a provider block in its config file (`config.toml`):
|
||||
|
||||
```toml
|
||||
[providers.openai]
|
||||
type = "openai"
|
||||
base_url = "http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1"
|
||||
api_key = "<kimi-cli virtual key>"
|
||||
```
|
||||
|
||||
If Kimi CLI's response parsing gets confused by Qwen's `<think>...</think>` reasoning tags, check its `reasoning_key` setting — it's configurable for non-standard local server responses.
|
||||
|
||||
## OpenCode CLI
|
||||
|
||||
Confirmed project: **`anomalyco/opencode`** (renamed from `sst/opencode` — don't confuse with the unrelated `opencode-ai/opencode` Go TUI). Docs: https://opencode.ai/docs/
|
||||
|
||||
**Install**:
|
||||
```bash
|
||||
curl -fsSL https://opencode.ai/install | bash
|
||||
```
|
||||
|
||||
**Config** (`opencode.json`, project root or `~/.config/opencode/opencode.json`):
|
||||
|
||||
```json
|
||||
{
|
||||
"$schema": "https://opencode.ai/config.json",
|
||||
"provider": {
|
||||
"aiproxy": {
|
||||
"npm": "@ai-sdk/openai-compatible",
|
||||
"name": "AI proxy (local)",
|
||||
"options": {
|
||||
"baseURL": "http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1",
|
||||
"apiKey": "<opencode-cli virtual key>"
|
||||
},
|
||||
"models": {
|
||||
"qwen3.8-27b-local": {
|
||||
"name": "Qwen3.8-27B",
|
||||
"limit": { "context": 65536, "output": 8192 }
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Set `limit.context` to match whatever `LLAMA_CTX_SIZE` this stack is actually running with (`.env`), not a value assumed from the model card — OpenCode uses it for its own context-management bookkeeping, not the server.
|
||||
|
||||
Select the model with `aiproxy/qwen3.8-27b-local`.
|
||||
|
||||
**OpenCode-specific risks** (on top of the shared Qwen3.8-27B tool-calling risk above):
|
||||
- Requires llama.cpp's `--jinja` flag (already set) — without it, OpenCode's unconditional tool-call scaffolding gets a 500.
|
||||
- [anomalyco/opencode#20669](https://github.com/anomalyco/opencode/issues/20669) (closed as "not planned" — a live, unfixed risk): OpenCode's `bash` tool crashes if the model omits the optional `description` field on a tool call; some local backends return `finish_reason: tool_calls` with an empty array, which can hang the agent loop instead of stopping cleanly.
|
||||
- Thinking-mode handling (`options.reasoningEffort`) is undocumented for models that emit inline `<think>` tags rather than a native reasoning API field — expect no effect from that config on this model; untested.
|
||||
|
||||
## Summary
|
||||
|
||||
| CLI | Wire format | Endpoint | Config |
|
||||
|---|---|---|---|
|
||||
| Claude Code | Anthropic Messages | `http://<ai-box>:${OMNIROUTE_PORT:-4000}` | `ANTHROPIC_BASE_URL` env var |
|
||||
| Kimi CLI | OpenAI Chat Completions | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `config.toml` provider block |
|
||||
| OpenCode | OpenAI Chat Completions | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `opencode.json` provider block |
|
||||
|
||||
Further reading: `docs/research/qwen3.8-27b-tool-calling.md`, `docs/research/opencode-cli-setup.md`, `docs/proxy-key-onboarding.md`.
|
||||
@@ -0,0 +1,13 @@
|
||||
# Claude Code CLI
|
||||
|
||||
[← back to overview](index.md)
|
||||
|
||||
Claude Code speaks the **Anthropic Messages API** — point it at the gateway's unified endpoint, not llama.cpp directly:
|
||||
|
||||
```bash
|
||||
export ANTHROPIC_BASE_URL=http://<ai-box>:${OMNIROUTE_PORT:-4000}
|
||||
export ANTHROPIC_API_KEY=<claude-code-cli virtual key>
|
||||
claude
|
||||
```
|
||||
|
||||
Requires llama.cpp's `--jinja` flag (already set in `docker-compose.yml`) — without it, tool-use requests fail outright.
|
||||
@@ -0,0 +1,34 @@
|
||||
# Pointing a coding-agent CLI at this stack
|
||||
|
||||
[← back to README](../../README.md)
|
||||
|
||||
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:
|
||||
|
||||
- **OpenAI-compatible**: `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1`
|
||||
- **Anthropic Messages API** (OmniRoute's own `/v1/messages` endpoint, translating to the OpenAI-compatible backend): `http://<ai-box>:${OMNIROUTE_PORT:-4000}`
|
||||
|
||||
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.
|
||||
|
||||
`<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.
|
||||
|
||||
**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`.
|
||||
|
||||
> **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)).
|
||||
|
||||
## Per-CLI setup
|
||||
|
||||
- [Claude Code CLI](claude-code.md)
|
||||
- [Kimi CLI](kimi-cli.md)
|
||||
- [OpenCode CLI](opencode.md)
|
||||
- [Qwen Code CLI](qwen-code.md)
|
||||
|
||||
## Summary
|
||||
|
||||
| CLI | Wire format | Endpoint | Config |
|
||||
|---|---|---|---|
|
||||
| [Claude Code](claude-code.md) | Anthropic Messages | `http://<ai-box>:${OMNIROUTE_PORT:-4000}` | `ANTHROPIC_BASE_URL` env var |
|
||||
| [Kimi CLI](kimi-cli.md) | OpenAI Chat Completions | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `config.toml` provider block |
|
||||
| [OpenCode](opencode.md) | OpenAI Chat Completions | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `opencode.json` provider block |
|
||||
| [Qwen Code](qwen-code.md) | OpenAI Chat Completions (2 models: chat + `fastModel`) | `http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1` | `~/.qwen/settings.json` `modelProviders.openai` |
|
||||
|
||||
Further reading: `docs/research/qwen3.8-27b-tool-calling.md`, `docs/proxy-key-onboarding.md`.
|
||||
@@ -0,0 +1,14 @@
|
||||
# Kimi CLI
|
||||
|
||||
[← back to overview](index.md)
|
||||
|
||||
Kimi CLI speaks plain **OpenAI Chat Completions**. Configure a provider block in its config file (`config.toml`):
|
||||
|
||||
```toml
|
||||
[providers.openai]
|
||||
type = "openai"
|
||||
base_url = "http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1"
|
||||
api_key = "<kimi-cli virtual key>"
|
||||
```
|
||||
|
||||
If Kimi CLI's response parsing gets confused by Qwen's `<think>...</think>` reasoning tags, check its `reasoning_key` setting — it's configurable for non-standard local server responses.
|
||||
@@ -0,0 +1,45 @@
|
||||
# OpenCode CLI
|
||||
|
||||
[← back to overview](index.md)
|
||||
|
||||
Confirmed project: **`anomalyco/opencode`** (renamed from `sst/opencode` — don't confuse with the unrelated `opencode-ai/opencode` Go TUI). Docs: https://opencode.ai/docs/
|
||||
|
||||
**Install**:
|
||||
```bash
|
||||
curl -fsSL https://opencode.ai/install | bash
|
||||
```
|
||||
|
||||
**Config** (`opencode.json`, project root or `~/.config/opencode/opencode.json`):
|
||||
|
||||
```json
|
||||
{
|
||||
"$schema": "https://opencode.ai/config.json",
|
||||
"provider": {
|
||||
"aiproxy": {
|
||||
"npm": "@ai-sdk/openai-compatible",
|
||||
"name": "AI proxy (local)",
|
||||
"options": {
|
||||
"baseURL": "http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1",
|
||||
"apiKey": "<opencode-cli virtual key>"
|
||||
},
|
||||
"models": {
|
||||
"qwen3.8-27b-local": {
|
||||
"name": "Qwen3.8-27B",
|
||||
"limit": { "context": 65536, "output": 8192 }
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Set `limit.context` to the *per-slot* context this stack actually serves — `LLAMA_CTX_SIZE / LLAMA_PARALLEL` from `.env` (262144 / 2 = 131072 by default), not raw `LLAMA_CTX_SIZE` and not a value assumed from the model card: llama.cpp divides `--ctx-size` across concurrent slots, so each request only gets one slot's share. OpenCode uses this for its own context-management bookkeeping, not the server.
|
||||
|
||||
Select the model with `aiproxy/qwen3.8-27b-local`.
|
||||
|
||||
**OpenCode-specific risks** (on top of the shared Qwen3.8-27B tool-calling risk — see [overview](index.md)):
|
||||
- Requires llama.cpp's `--jinja` flag (already set) — without it, OpenCode's unconditional tool-call scaffolding gets a 500.
|
||||
- [anomalyco/opencode#20669](https://github.com/anomalyco/opencode/issues/20669) (closed as "not planned" — a live, unfixed risk): OpenCode's `bash` tool crashes if the model omits the optional `description` field on a tool call; some local backends return `finish_reason: tool_calls` with an empty array, which can hang the agent loop instead of stopping cleanly.
|
||||
- Thinking-mode handling (`options.reasoningEffort`) is undocumented for models that emit inline `<think>` tags rather than a native reasoning API field — expect no effect from that config on this model; untested.
|
||||
|
||||
Further reading: `docs/research/opencode-cli-setup.md`.
|
||||
@@ -0,0 +1,116 @@
|
||||
# Qwen Code CLI
|
||||
|
||||
[← back to overview](index.md)
|
||||
|
||||
Qwen Code speaks plain **OpenAI Chat Completions**, and — unlike the other CLIs — needs *two* models: the main chat model, and a `fastModel` for Auto Mode's action classifier (a separate, always-resident, always-fast instance so classification doesn't queue behind chat prefill; see `docker-compose.yml`'s `llama-server-fast` service and `docs/research/fast-model-choice.md`). Both are registered as separate providers in OmniRoute but reachable through the same gateway URL. Config lives in `~/.qwen/settings.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"modelProviders": {
|
||||
"openai": [
|
||||
{
|
||||
"id": "<main-model-provider-id-in-omniroute>",
|
||||
"name": "qwen3.8-27b-local",
|
||||
"envKey": "OMNIROUTE_API_KEY",
|
||||
"baseUrl": "http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1",
|
||||
"generationConfig": { "contextWindowSize": 131072 }
|
||||
},
|
||||
{
|
||||
"id": "<fast-model-provider-id-in-omniroute>",
|
||||
"name": "qwen3.8-27b-classifier",
|
||||
"envKey": "OMNIROUTE_API_KEY",
|
||||
"baseUrl": "http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1",
|
||||
"generationConfig": {
|
||||
"contextWindowSize": 8192,
|
||||
"extra_body": { "chat_template_kwargs": { "enable_thinking": false } }
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"security": { "auth": { "selectedType": "openai" } },
|
||||
"model": {
|
||||
"name": "<main-model-provider-id-in-omniroute>",
|
||||
"baseUrl": "http://<ai-box>:${OMNIROUTE_PORT:-4000}/v1"
|
||||
},
|
||||
"fastModel": "<fast-model-provider-id-in-omniroute>"
|
||||
}
|
||||
```
|
||||
|
||||
- `envKey` names the environment variable Qwen Code reads the virtual key from — set `OMNIROUTE_API_KEY=<qwen-code-cli virtual key>` before launching. Both providers can share one virtual key (as above); split it into two if you want separate usage tracking for chat vs. classifier calls.
|
||||
- **`contextWindowSize` is per-slot, not `LLAMA_CTX_SIZE` itself** — llama.cpp divides `--ctx-size` across `LLAMA_PARALLEL` concurrent slots, and each request only gets one slot's share (same correction applies to OpenCode's `limit.context`). Compute it per model from `.env`:
|
||||
- Main model: `LLAMA_CTX_SIZE / LLAMA_PARALLEL` = `262144 / 2` = **131072**.
|
||||
- Fast model: `LLAMA_FAST_CTX_SIZE / LLAMA_FAST_PARALLEL` = `8192 / 1` = **8192**. Undersizing this one specifically breaks Auto Mode ("Classifier stage 1 unavailable") once `hints.allow`/`softDeny`/`hardDeny` entries and recent-action history push a classifier call past it — see the `LLAMA_FAST_CTX_SIZE` comment in `.env.example` before raising it instead of `LLAMA_FAST_PARALLEL`.
|
||||
- `enable_thinking: false` on the fast model matters: the fast model file (`Qwen3-4B-Instruct-2507`) is already non-thinking, but this also suppresses `<think>` output on any fast-model swap that isn't, keeping classifier responses parseable.
|
||||
- Qwen Code also recognizes `advisorModel`, `visionModel`, `compactionModel`, `imageModel` for other model roles — none are wired up in this stack; only `fastModel` is required.
|
||||
|
||||
## Web search via OmniRoute
|
||||
|
||||
Qwen Code's own built-in web search (`tools.webSearch.enabled`) has nothing to search with here — leave it `false`. Instead this stack's SearXNG-backed search (README §"Web search") is exposed through a thin stdio MCP wrapper around OmniRoute's `/v1/search` REST endpoint (that endpoint isn't itself MCP — OmniRoute's real MCP surface is admin-only/LOCAL_ONLY-gated). Save this as e.g. `~/.qwen/mcp-servers/omniroute-search/index.mjs` (needs `@modelcontextprotocol/sdk` and `zod`: `npm init -y && npm i @modelcontextprotocol/sdk zod` in that directory):
|
||||
|
||||
```js
|
||||
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
|
||||
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
|
||||
import { z } from "zod";
|
||||
|
||||
const BASE_URL = process.env.OMNIROUTE_BASE_URL || "http://proxy-ai.home";
|
||||
const API_KEY = process.env.OMNIROUTE_API_KEY;
|
||||
|
||||
if (!API_KEY) {
|
||||
console.error("OMNIROUTE_API_KEY is not set in the environment.");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const server = new McpServer({ name: "omniroute-search", version: "1.0.0" });
|
||||
|
||||
server.registerTool(
|
||||
"search",
|
||||
{
|
||||
description: "Web/news search via OmniRoute's /v1/search endpoint.",
|
||||
inputSchema: { query: z.string().describe("Search query") },
|
||||
},
|
||||
async ({ query }) => {
|
||||
const res = await fetch(`${BASE_URL}/v1/search`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json", Authorization: `Bearer ${API_KEY}` },
|
||||
body: JSON.stringify({ query }),
|
||||
});
|
||||
const text = await res.text();
|
||||
if (!res.ok) return { content: [{ type: "text", text: `HTTP ${res.status}: ${text}` }], isError: true };
|
||||
return { content: [{ type: "text", text }] };
|
||||
}
|
||||
);
|
||||
|
||||
await server.connect(new StdioServerTransport());
|
||||
```
|
||||
|
||||
Register it in `~/.qwen/settings.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"omniroute-search": { "command": "node", "args": ["<path-to>/index.mjs"] }
|
||||
},
|
||||
"tools": { "webSearch": { "enabled": false } }
|
||||
}
|
||||
```
|
||||
|
||||
It reuses the same `OMNIROUTE_API_KEY` env var as the model providers above — the virtual key needs search permission in OmniRoute, not just chat-completions.
|
||||
|
||||
## Auto Mode tuning
|
||||
|
||||
Auto Mode's action classifier calls the fast model above — its own request can queue behind other stack traffic before the fast llama-server instance is warm, so the default classifier timeout is worth raising. And since this stack is a single trusted local proxy, it's reasonable to pre-approve requests to it rather than confirm every call:
|
||||
|
||||
```json
|
||||
{
|
||||
"permissions": {
|
||||
"autoMode": {
|
||||
"classifier": { "timeouts": { "stage1Ms": 600000 } },
|
||||
"hints": { "allow": ["Requests to proxy-ai.home, my own local omniroute model proxy"] }
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
`hints.allow` entries are free-text descriptions the classifier matches against, not exact strings — capped at 150 entries/200 chars each (see the `LLAMA_FAST_CTX_SIZE` note above for why that ceiling matters).
|
||||
|
||||
Everything else in `~/.qwen/settings.json` (`hooks`, `security.auth`'s underlying tooling, editor prefs) is per-machine, not part of pointing at this stack — don't copy it wholesale between machines.
|
||||
@@ -4,7 +4,7 @@ This stack has no chat UI — every client is a coding CLI reaching the AI gatew
|
||||
|
||||
## llama.cpp's raw API stays LAN-only — deliberately
|
||||
|
||||
The inference API (port `${LLAMA_PORT:-8080}`) is **not** registered in NPM and is **not** reachable externally. It has no authentication of its own — putting it on the public internet would mean an unauthenticated inference endpoint. Coding-agent CLIs (Claude Code, Kimi, OpenCode — see `docs/coding-cli-setup.md`) don't reach it directly at all now; they go through the gateway below, same as everything else.
|
||||
The inference API (port `${LLAMA_PORT:-8080}`) is **not** registered in NPM and is **not** reachable externally. It has no authentication of its own — putting it on the public internet would mean an unauthenticated inference endpoint. Coding-agent CLIs (Claude Code, Kimi, OpenCode, Qwen Code — see `docs/coding-cli-setup/`) don't reach it directly at all now; they go through the gateway below, same as everything else.
|
||||
|
||||
If you later want external CLI access too, that's a deliberate scope change — see the map ([issue #1](https://git.arthurerlich.de/haylan/LLM-Server/issues/1)) before doing it, since it changes the security posture.
|
||||
|
||||
|
||||
@@ -11,6 +11,12 @@
|
||||
# it never reliably sleeps a service on its own. A scripted swap always
|
||||
# knows which service should go up/down, so it doesn't need that heuristic.
|
||||
#
|
||||
# llama-server-fast (the small classifier model, issue #44) is NOT part of
|
||||
# this swap — it's meant to stay always-resident. Worst case with comfyui up
|
||||
# is comfyui (~25GB, Qwen-Image FP8) + llama-server-fast (~5GB) ≈ 30GB,
|
||||
# still under the 32GB card but tight — unverified on real hardware, check
|
||||
# `docker compose ps` / VRAM usage after the first real swap.
|
||||
#
|
||||
# OmniRoute may show the just-stopped provider as errored/offline in its
|
||||
# dashboard for up to CREDENTIAL_HEALTH_CHECK_INTERVAL (default 5 min) after
|
||||
# a swap — cosmetic, not a functional problem (see the research doc above).
|
||||
|
||||
+20
-12
@@ -48,13 +48,11 @@ git pull --ff-only
|
||||
[ -f .env ] || cp .env.example .env
|
||||
|
||||
echo "==> syncing tracked config values from .env.example"
|
||||
# ponytail: gum (charmbracelet/gum) is a single static binary, fetched as a
|
||||
# release tarball — no build step, no package-manager dependency. Cached
|
||||
# under .cache/gum/ (gitignored) so repeat runs don't re-download. Release
|
||||
# asset naming (gum_<ver>_Linux_<arch>.tar.gz) follows charm's standard
|
||||
# goreleaser convention but hasn't been exercised against a real download
|
||||
# on this exact host yet — if it 404s, check
|
||||
# https://github.com/charmbracelet/gum/releases for the current naming.
|
||||
# ponytail: gum (charmbracelet/gum) is a single static binary. Vendored as
|
||||
# a release tarball under scripts/vendor/ (checked into git) for the R9700
|
||||
# box, which has no outbound internet access — the download fallback below
|
||||
# is only for other archs / when the vendored copy is missing or stale.
|
||||
# Cached under .cache/gum/ (gitignored) so repeat runs don't re-extract.
|
||||
GUM_VERSION="0.14.5"
|
||||
GUM_DIR="$(pwd)/.cache/gum"
|
||||
GUM_BIN="$GUM_DIR/gum"
|
||||
@@ -62,15 +60,23 @@ ensure_gum() {
|
||||
command -v gum >/dev/null 2>&1 && { echo "gum"; return; }
|
||||
[ -x "$GUM_BIN" ] && { echo "$GUM_BIN"; return; }
|
||||
mkdir -p "$GUM_DIR"
|
||||
local arch tmpdir url
|
||||
local arch tmpdir vendored
|
||||
case "$(uname -m)" in
|
||||
x86_64) arch="x86_64" ;;
|
||||
aarch64|arm64) arch="arm64" ;;
|
||||
*) echo "no gum build for $(uname -m), falling back to plain prompts" >&2; echo ""; return ;;
|
||||
esac
|
||||
url="https://github.com/charmbracelet/gum/releases/download/v${GUM_VERSION}/gum_${GUM_VERSION}_Linux_${arch}.tar.gz"
|
||||
tmpdir="$(mktemp -d)"
|
||||
if curl -fsSL "$url" | tar -xz -C "$tmpdir" 2>/dev/null; then
|
||||
vendored="$(pwd)/scripts/vendor/gum_${GUM_VERSION}_Linux_${arch}.tar.gz"
|
||||
if [ -f "$vendored" ]; then
|
||||
tar -xz -C "$tmpdir" -f "$vendored"
|
||||
else
|
||||
local url="https://github.com/charmbracelet/gum/releases/download/v${GUM_VERSION}/gum_${GUM_VERSION}_Linux_${arch}.tar.gz"
|
||||
if ! curl -fsSL "$url" | tar -xz -C "$tmpdir" 2>/dev/null; then
|
||||
echo "no vendored gum for $arch and couldn't download from $url (no internet egress? falling back to plain prompts)" >&2
|
||||
fi
|
||||
fi
|
||||
if [ -n "$(find "$tmpdir" -name gum -type f 2>/dev/null)" ]; then
|
||||
find "$tmpdir" -name gum -type f -exec cp {} "$GUM_BIN" \;
|
||||
chmod +x "$GUM_BIN" 2>/dev/null || true
|
||||
fi
|
||||
@@ -87,10 +93,12 @@ conflict_old=()
|
||||
conflict_new=()
|
||||
while IFS='=' read -r key value; do
|
||||
[ -n "$value" ] || continue
|
||||
current="$(grep -E "^${key}=" .env | head -1 | cut -d= -f2-)"
|
||||
if ! grep -qE "^${key}=" .env; then
|
||||
echo "${key}=${value}" >> .env
|
||||
elif [ "$current" != "$value" ]; then
|
||||
continue
|
||||
fi
|
||||
current="$(grep -E "^${key}=" .env | head -1 | cut -d= -f2-)"
|
||||
if [ "$current" != "$value" ]; then
|
||||
conflict_keys+=("$key")
|
||||
conflict_old+=("$current")
|
||||
conflict_new+=("$value")
|
||||
|
||||
BIN
Binary file not shown.
Reference in New Issue
Block a user