| name | anymodel |
| description | AnyModel development skill — the universal AI coding proxy. Use this skill whenever working on AnyModel source code (proxy.mjs, cli.mjs, providers/*, site/*, test/*), adding providers or presets, debugging proxy issues, deploying to npm, or modifying the anymodel.dev website. Also activate when the user mentions AnyModel architecture, proxy sanitization, tool schema fixing, Ollama integration, OpenRouter routing, client branding, or the deployment pipeline. Covers the full AnyModel lifecycle: code, test, publish, deploy.
|
AnyModel Development Skill
You are working on AnyModel — a universal AI coding proxy that lets you use any AI model through one interface.
This skill contains everything you need: architecture, conventions, deployment rules, and debugging guidance.
Product Identity
Architecture
AnyModel client (cli.js) --> anymodel proxy (:9090) --> OpenRouter / Ollama / OpenAI-compatible
Three components:
- Proxy (
proxy.mjs) — HTTP server intercepting /v1/messages, sanitizes requests, translates formats, routes to providers
- CLI (
cli.mjs) — entry point for starting proxy, connecting, managing presets
- Bundled client (
cli.js) — modified Claude Code client with violet diamond character and AnyModel branding
Providers
| Provider | File | API Format | Key Behavior |
|---|
| OpenRouter | providers/openrouter.mjs | Anthropic passthrough | Preserves cache_control, 300+ cloud models |
| Ollama | providers/ollama.mjs | OpenAI /v1/chat/completions | Injects num_ctx=8192, capability-aware tool passthrough (v1.12.0+) |
| OpenAI | providers/openai.mjs | OpenAI format | Full bidirectional Anthropic ↔ OpenAI translation |
| LMStudio | providers/lmstudio.mjs | OpenAI (via local factory) | Delegates to OpenAI translator, :1234/v1 default |
| llama.cpp | providers/llamacpp.mjs | OpenAI (via local factory) | Delegates to OpenAI translator, :8080/v1 default |
Presets (update version in KNOWLEDGE-BASE.md when changing)
| Preset | Model ID | Cost |
|---|
| gpt | openai/gpt-5.4 | paid |
| codex | openai/gpt-5.3-codex | paid, coding |
| gemini | google/gemini-3.1-flash-lite-preview | paid |
| deepseek | deepseek/deepseek-r1-0528 | paid |
| mistral | mistralai/devstral-2512 | paid, coding |
| gemma | google/gemma-4-31b-it | paid, coding |
| qwen | qwen/qwen3-coder:free | free |
| nemotron | nvidia/nemotron-3-super-120b-a12b:free | free |
| llama | meta-llama/llama-3.3-70b-instruct:free | free |
When adding a new preset: add to MODEL_PRESETS in cli.mjs, update help text, update KNOWLEDGE-BASE.md, update site/index.html, update README.md.
Proxy Sanitization (proxy.mjs)
The sanitizeBody() function is the heart of AnyModel. It makes any model work with Claude Code's request format.
What it does (in order):
- Strips Anthropic-only fields:
betas, metadata, speed, output_config, context_management
- Preserves
thinking — reasoning models (DeepSeek R1) need this for chain-of-thought
- Preserves
cache_control for OpenRouter (Anthropic models support it), strips for Ollama/OpenAI
- Clamps
max_tokens to minimum 16 — Claude Code sends max_tokens: 1 for probes, OpenAI/GPT rejects anything below 16
- Fixes tool schemas:
- Missing
input_schema entirely -> adds minimal valid schema with _unused placeholder
- Empty
properties: {} -> adds _unused placeholder (OpenAI rejects empty properties)
- Missing
type field -> adds "type": "object"
- Recursively fixes nested schemas (
anyOf, oneOf, allOf, items)
- Strips
_unused from tool_use responses so the client never sees it
- Strips Anthropic-only tool fields:
cache_control, defer_loading, eager_input_streaming, strict
- Normalizes
tool_choice: converts string format to object format
- Local providers (Ollama, LMStudio, llama.cpp): capability-aware tool passthrough — since v1.12.0 the proxy no longer blanket-strips tools. Behavior is controlled by
OLLAMA_TOOLS env var (auto default, on, off). In auto mode, the proxy tries tools and caches per-model capability; on "does not support tools" errors it retries without tools and remembers that model as no-tool-support. Tools are then compressed and budget-trimmed via providers/tool-compressor.mjs to fit local context windows (core tools Bash/Read/Write/Edit always kept). Translation: Anthropic tool definitions → OpenAI function format → Ollama message.tool_calls[] → translated back to Anthropic tool_use content blocks with stop_reason: "tool_use". Streaming supported.
tool_choice always stripped for Ollama — Ollama doesn't support tool_choice; proxy removes it unconditionally.
- Auto-retry without tools — if a provider returns "No endpoints found that support tool use" / "does not support tools", proxy retries with tools removed AND caches model as no-tool-support.
Why this matters
Without sanitization, MCP tools break on non-Anthropic models. Claude Code sends 80+ tool definitions including MCP servers (Slack, Figma, Gmail, etc.) with every request. The proxy ensures these schemas are valid for the target model, so MCP works seamlessly through any provider — including local Ollama/LMStudio/llama.cpp models that support function calling (Qwen 3/Coder, Llama 3.1+, Mistral, DeepSeek R1, Gemma 4).
Regression guard: test/ollama-tool-passthrough.test.mjs asserts that in auto mode with an uncached model, tools are forwarded (not stripped). See also test/ollama-tools.test.mjs for the capability-cache logic.
Client Identity
- Character: Violet diamond-themed (
diamond-head and diamond-feet ASCII art)
- Color: Light violet
rgb(147,130,255), ANSI fallback magentaBright
- Branding: "AnyModel" everywhere (not "Claude Code"). Tips say "Ask AnyModel" not "Ask Claude"
- Version: Synced with npm package via
prepublishOnly script
ANYMODEL_MODEL: Env var displayed in client UI showing active model name
When modifying the client: never break the violet identity. The diamond character and "AnyModel" branding are what distinguish this from standard Claude Code.
Environment Variables
| Variable | Purpose |
|---|
OPENROUTER_API_KEY | OpenRouter API key (primary provider) |
OPENAI_API_KEY | API key for OpenAI-compatible endpoints |
OPENAI_BASE_URL | Base URL for custom OpenAI-compatible providers |
ANYMODEL_CLIENT | Explicit path to client binary |
ANYMODEL_MODEL | Model name displayed in client UI |
ANYMODEL_TOKEN | Auth token for remote proxy mode |
PROXY_PORT | Default port override (default: 9090) |
OLLAMA_NUM_CTX | Ollama context size (default: 8192) |
LOCAL_NUM_CTX | LMStudio / llama.cpp context size (default: 32768) |
OLLAMA_TOOLS | Tool-passthrough mode: auto (default, try + cache), on (always pass), off (always strip — legacy behavior) |
OLLAMA_MAX_TOOLS / LOCAL_MAX_TOOLS | Hard cap on tool count for local providers (0 = no cap, rely on budget) |
OLLAMA_MAX_TOOL_DESC / LOCAL_MAX_TOOL_DESC | Max chars per tool description (default: 100) |
OLLAMA_TOOL_BUDGET_PCT / LOCAL_TOOL_BUDGET_PCT | Fraction of num_ctx reserved for tool schemas (default: 0.30) |
Client Discovery (findClient())
When npx anymodel connects, it finds the client in this order:
ANYMODEL_CLIENT env var (explicit path)
cli.js next to cli.mjs (bundled in npm package)
cli.js in current directory
- Sibling repos (
../claude-code/cli.js, ../claude-code-anymodel/cli.js)
- Home directory (
~/claude-code-anymodel/cli.js)
- Global
claude binary (last resort fallback)
Deployment Pipeline (MANDATORY)
Every change MUST follow this pipeline. Never skip steps, never publish without tests passing.
node --test test/*.test.mjs
git add <changed-files>
git commit -m "description of change"
git push
npm version patch
npm run sync-version
npm publish
vercel --prod
The prepublishOnly script in package.json handles version syncing. After npm version patch, run npm run sync-version to update the version in the bundled client, then npm publish.
Adding a New Provider
- Create
providers/newprovider.mjs following the pattern in existing providers
- Export:
{ name, transformRequest, transformResponse, buildUrl, getHeaders }
- Add detection logic in
cli.mjs (PROVIDERS array)
- Add env var documentation
- Handle tool schema translation if the provider's format differs
- Add tests in
test/
- Update
KNOWLEDGE-BASE.md
- Run the full deployment pipeline
Adding a New Preset
- Add to
MODEL_PRESETS in cli.mjs
- Update the help text in
showUsage()
- Update
KNOWLEDGE-BASE.md preset table
- Update
site/index.html preset section
- Update
README.md
- Run the full deployment pipeline
Debugging Guide
Common Issues
| Symptom | Cause | Fix |
|---|
max_tokens error | Claude Code sends max_tokens: 1 for probes | Proxy clamps to 16 — check sanitizeBody() |
| Tool use fails on GPT | Empty properties: {} in tool schema | Proxy adds _unused placeholder — check tool sanitization |
| Ollama extremely slow | Default 8K context overflowed by big system prompts | Bump OLLAMA_NUM_CTX=32768; tool compressor trims schemas to ~30% of ctx |
| Local model prints JSON instead of calling tools | Model doesn't support function calling, OR OLLAMA_TOOLS=off, OR model cached as no-tool-support | Use a tool-capable model (Qwen 3 / Qwen-Coder, Llama 3.1+, Mistral, DeepSeek R1, Gemma 4); ensure OLLAMA_TOOLS=auto; restart proxy to clear per-model cache |
Slash commands (/openspec, etc.) return JSON text | Same as above — the command emits prompts expecting tool_use blocks; only tool-capable models will emit them | See row above |
| "No endpoints found" / "does not support tools" | Model doesn't support tool use | Proxy auto-retries without tools and caches model as no-tool-support |
| Streaming breaks | Response format mismatch | Check provider's transformResponse — Anthropic SSE vs OpenAI SSE |
cache_control errors | Non-Anthropic model rejecting cache hints | Check keepCache flag in sanitizeBody() |
| Client shows "Claude" | Branding not applied | Check ANYMODEL_MODEL env var and client identity patches |
Debugging Proxy Traffic
The proxy logs every request with color-coded output:
[OPENROUTER] / [OLLAMA] / [OPENAI] — provider prefix
tools=N — number of tools in request
stream=true — streaming mode
- Yellow
[OLLAMA] Passing N tools to <model> (mode=auto) — tools forwarded (capability-aware passthrough, v1.12.0+)
- Yellow
[OLLAMA] Stripping N tools (mode=<x>, model=<m> cached as no-tool-support) — tool removal (either OLLAMA_TOOLS=off or model is in no-tool-support cache)
- Yellow
[OLLAMA] Tool optimization: N tools (X tok) → compressed to Y tok — schema compression + budget trimming
- Green
200 — successful response
- Red status codes — errors with body excerpt
Competitive Context
| Tool | Key Difference from AnyModel |
|---|
| Claude Code Router (CCR) | 31K+ stars, Claude Code-specific, requires manual JSON config, no bundled client |
| OpenRouter native | Only Anthropic models work reliably, no format translation |
| OpenCode | Full rewrite (107K stars), own ecosystem, not a proxy |
| Cline | VS Code extension, IDE-specific, not standalone CLI |
| LiteLLM | Enterprise Python gateway, heavy config |
Anthropic Third-Party Cutoff (April 4, 2026)
Claude subscriptions no longer cover third-party tools. AnyModel proxy mode is NOT affected (routes through OpenRouter, never touches Anthropic OAuth). This is a key selling point — AnyModel users don't need a Claude subscription.
URLs and Links
File Structure
anymodel/
cli.mjs # CLI entry point
cli.js # Bundled client (12MB modified Claude Code)
proxy.mjs # HTTP proxy server + sanitization
package.json # npm config
providers/
openrouter.mjs # OpenRouter provider (passthrough)
ollama.mjs # Ollama provider (OpenAI translation + num_ctx + tool_use roundtrip)
ollama-tools.mjs # Tool capability mode + per-model no-tool-support cache
tool-compressor.mjs # Schema compression + budget trimming for local models
openai.mjs # OpenAI provider (bidirectional translation)
openai-local.mjs # Factory for LMStudio/llama.cpp (thin wrappers over OpenAI)
lmstudio.mjs # LMStudio alias (:1234/v1)
llamacpp.mjs # llama.cpp alias (:8080/v1)
prefix-cache.mjs # Prefix-aware caching (increment 0004)
site/
index.html # anymodel.dev homepage
styles.css / script.js / sitemap.xml / robots.txt
test/ # 93+ tests
KNOWLEDGE-BASE.md # Single source of truth (keep in sync with this skill)
Testing
Run all tests before any commit:
node --test test/*.test.mjs
Tests cover: sanitization, tool schema fixing, provider translation, preset resolution, max_tokens clamping, streaming, error handling. When adding features, add corresponding tests. The test count should only go up.