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# ModelRouter
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> **中文**: [README.md](./README.md)
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A lightweight, unified OpenAI-compatible LLM gateway for internal networks —
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configure once, and let multiple services (agents, SDKs, bots) share many
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upstreams (DeepSeek, Qijiar, OpenAI, Anthropic, Gemini, Groq, Mistral, Ollama,
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KimiCode…) behind a single endpoint. Pick a specific model or use **AUTO** mode,
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which routes to the best healthy upstream by configured priority.
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> **Lightweight, no recompile to add sources**: the gateway is a single Go
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> binary (~10 MB, zero runtime dependencies). Adding or switching an upstream is
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> just a `sources` entry in `config.yaml` (or via the WebUI) or a `.lua`
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> adapter — **no Go changes, no recompile**. Changes submitted through the
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> WebUI take effect immediately (hot reload); editing `config.yaml` or a `.lua`
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> file under `adapter_dir` by hand requires a process restart.
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## Overview
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Exposes a standard `OpenAI Chat Completions` API (`/v1/chat/completions` +
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`/v1/models`) to your internal network, translating between multiple upstream
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protocols via **Lua adapters**. Supports one-shot calls, SSE streaming,
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**AUTO model routing**, multimodal passthrough, and tool calls.
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Extracted and independently evolved from the multi-source LLM adapter layer of
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[HomeAgent](https://gitcode.com/JianFeeeee/HomeAgent)
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(`internal/agent/api/provider.go` + `internal/lua/adapters/*`).
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## Features
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- **Multi-source**: any number of upstream sources in one process, routed by the
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request's `model`.
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- **AUTO mode**: with `default_model: AUTO`, the highest-priority available
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source model wins.
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- **Unified output**: every source speaks OpenAI format (incl.
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`reasoning_content`, `tool_calls`, `usage`).
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- **Multimodal**: `content` arrays (`image_url` etc.) pass through losslessly;
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Anthropic/Gemini/Ollama are translated automatically.
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- **LuaJIT VM**: golua-binding LuaJIT; each adapter has its own VM + worker
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pool for safe concurrency.
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- **disable_thinking**: `disable_thinking: true` toggles reasoning per-request.
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- **Lua adapter protocol**: each source mounts a `.lua` adapter with
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`transform_request` / `transform_response` / `transform_stream_chunk` — all
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protocol differences live in Lua, Go only schedules and proxies.
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- **Signature / header hooks**: adapters may define `build_headers(meta)` to
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inject/sign request headers before the HTTP call (e.g. KimiCode style
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app-validation), with helpers like `hmac_sha256_hex`, `sha256_hex`,
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`base64_encode`.
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- **WebUI**: built-in management page to view/add/edit sources & models,
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persisted to a runtime file.
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- **Auth**: the gateway validates client keys via `gateway_keys`; independent
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from each upstream's own key.
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- **Streaming**: SSE `chat.completion.chunk` with a role-first chunk and
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`[DONE]` terminator.
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## Quick start
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```bash
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cp config.example.yaml config.yaml # edit your sources & keys
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GOMODCACHE=... GOPROXY=off go build -tags luajit -o llmsproxy ./cmd/llmsproxy
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./llmsproxy -config config.yaml
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```
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> Depends on [golua](https://github.com/aarzilli/golua) (LuaJIT bindings).
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> You **must** build with `-tags luajit`; otherwise the built-in superset
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> gopher-lua path is used (behavior differs slightly).
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```bash
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# no key -> 401
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curl http://127.0.0.1:8080/v1/models
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# one-shot
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curl -H "Authorization: Bearer sk-gw-local-0001" \
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-d '{"model":"deepseek-v4-flash","messages":[{"role":"user","content":"hi"}]}' \
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http://127.0.0.1:8080/v1/chat/completions
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# streaming
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curl -N -H "Authorization: Bearer sk-gw-local-0001" \
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-d '{"model":"deepseek-v4-flash","stream":true,"messages":[{"role":"user","content":"hi"}]}' \
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http://127.0.0.1:8080/v1/chat/completions
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```
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Any OpenAI SDK works: point `base_url` at the gateway, use one of `gateway_keys`
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as the API key.
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## Configuration
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See [`config.example.yaml`](config.example.yaml). Core fields:
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```yaml
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listen: 127.0.0.1:8080 # bind address (keep internal/loopback)
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gateway_keys: [sk-gw-0001] # keys clients use; empty = no auth
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default_model: AUTO # when model is unroutable, pick source by priority
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adapter_dir: adapters # Lua adapter dir; built-ins written on first start
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runtime_file: runtime.json # WebUI-edited sources persist here
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sources:
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- name: deepseek
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base_url: https://api.deepseek.com
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api_key: sk-...
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adapter: deepseek
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max_concurrent: 8
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models:
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- id: deepseek-v4-flash
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priority: 100 # higher -> preferred by AUTO
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kind: chat
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- id: deepseek-v4-pro
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priority: 60
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kind: chat
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# static headers (take precedence over adapter defaults)
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headers: { X-Tenant: prod }
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# passthrough metadata for the Lua build_headers hook
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meta: { app_id: x, app_secret: y }
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temperature: 0.7
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max_tokens: 4096
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timeout: 120s # request timeout, default 120s
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```
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### Model routing
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`/v1/chat/completions` `model` resolution order:
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1. `source/model` or `source:model` prefix → pinned source;
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2. exact match of a source's `model`;
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3. with `default_model: AUTO` → highest-`priority` healthy source model;
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4. otherwise fall back to `default_source`.
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Any OpenAI client can pin to a source by setting `model` to its
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`name/anything`; `AUTO` (or the gateway's `default_model: AUTO`) picks the
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healthy source by priority.
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### Sources vs. adapters
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- A **source** describes a connection to an upstream: `name`, `base_url`,
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`api_key`, model list and priorities.
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- An **adapter** is the protocol translation logic (Lua script): converts the
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unified OpenAI request to the upstream's native format and back.
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- One adapter serves many sources (e.g. `openai.lua` for any OpenAI-compatible
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site); one source can switch adapters via its `adapter` field.
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- Sources decide *whom to talk to and which models to expose*; adapters decide
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*how to talk*. They are linked by the `adapter` field inside each `sources[]`
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entry.
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Loading flow (assembled by `Core` in `internal/core`):
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1. On startup `lua.NewVM(adapter_dir)` loads all adapters: built-in ones
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(embedded at compile time) + same-name override files under `adapter_dir`.
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2. `config.Load` reads `config.yaml`; `config.NewStore(runtime_file)` reads
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WebUI-edited runtime sources; both are merged by name.
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3. `rebuildRegistry` creates a `provider.Provider` per source (holding its
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adapter), sizing the adapter's worker pool from the source's concurrency
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limit.
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4. Incoming requests are routed by `Registry` to a provider, which calls the
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adapter's `transform_request` → HTTP call → `transform_response` /
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`transform_stream_chunk`.
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"Add/Edit source" and "Upload adapter" in the WebUI take effect immediately
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(written to the runtime file / `adapter_dir`, then reassembled — no restart).
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Directly editing `config.yaml` or files under `adapter_dir` requires a process
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restart.
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### disable_thinking
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With `"disable_thinking": true` in the request body, the gateway passes it to
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each adapter; the DeepSeek adapter maps it to `extra_body.thinking.type =
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"disabled"`, other sources follow their own protocol.
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### WebUI
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Built-in admin page at `GET /`; after login you can view/edit sources and
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models in the browser, persisted to `runtime_file` (survives restarts).
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## Lua adapter protocol
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Full API: **[Lua adapter docs](docs/lua-adapters.md)**
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([中文](docs/lua-adapters-en.md)).
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Each adapter is a Lua script returning a table
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(`internal/lua/adapters/<name>.lua`), overridable by a same-name file under
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`adapter_dir` — **no recompile needed**, restart to take effect; uploads via
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the WebUI take effect immediately.
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```lua
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return {
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name = "mysrc",
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version = "1.0.0",
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endpoint = "/chat/completions", -- upstream path (source.endpoint overrides)
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headers = { ["X-Static"] = "v" }, -- static default headers (fallback)
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-- request: convert unified OpenAI req -> upstream native format, return string
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transform_request = function(raw_json) ... end,
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-- response: convert upstream response to unified format string
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-- { content, reasoning_content, finish_reason, token_usage{...}, tool_calls[{...}] }
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transform_response = function(raw_json) ... end,
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-- streaming chunk: convert upstream SSE data to { content, done, ... }; "" skips
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transform_stream_chunk = function(raw_chunk) ... end,
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-- [optional] dynamic headers / signature hook
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-- meta = { url, method, body, api_key, timestamp, source={ name, meta={...} } }
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build_headers = function(meta) return { ["X-App-Sign"] = sign } end,
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}
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```
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Shared helpers: `hmac_sha256_hex(key, data)`, `sha256_hex(data)`,
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`base64_encode(s)`, `tohex(s)`, `json.encode/decode`, `log(level, msg)`.
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### Built-in adapters
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`openai` `deepseek` `anthropic` `gemini` `github` `groq` `mistral` `ollama`
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`kimicode`.
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`anthropic`/`gemini`/`ollama` include multimodal conversion
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(`image_url` → their native format); with `disable_thinking` the `deepseek`
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adapter sets `extra_body.thinking.type` to `disabled`.
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**kimicode** demonstrates `build_headers`: the cloud validates the calling
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app, so you HMAC-sign timestamp+URL+body with `meta.app_secret` and add
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`X-App-Sign`-style headers. Configure `sources[].meta.{app_id, app_secret,
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app_agent}`.
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## Layout
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```
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cmd/llmsproxy # entry point
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internal/config # YAML config loading/validation
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internal/lua # LuaJIT VM + worker pool + AdapterCache + built-ins (embed)
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internal/provider # Provider(HTTP) + Registry(routing)
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internal/gateway # OpenAI-compatible HTTP + auth + SDK/streaming + WebUI
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internal/types # unified format & OpenAI wire types
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```
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## Tests
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```bash
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go test -tags luajit ./...
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```
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Covers: config validation, adapter load/transform, signature hooks, gateway
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auth, SDK round trip, SSE streaming, model routing, multimodal passthrough and
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disable_thinking.
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