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https://github.com/kianwoon/modelweaver

Multi-provider model orchestration proxy for Claude Code. Route agent roles (planning, coding, research) to different LLM providers with automatic fallback, daemon mode, desktop GUI, config hot-reload, and crash recovery.
https://github.com/kianwoon/modelweaver

ai-agents anthropic api-proxy claude claude-code desktop-gui developer-tools fallback hono hot-reload llm llm-proxy model-routing multi-provider openrouter proxy rate-limiting sse tauri typescript

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Multi-provider model orchestration proxy for Claude Code. Route agent roles (planning, coding, research) to different LLM providers with automatic fallback, daemon mode, desktop GUI, config hot-reload, and crash recovery.

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ModelWeaver

# ModelWeaver

Multi-provider LLM proxy for Claude Code. Route different agent roles to different model providers with automatic fallback, racing, circuit breakers, and a native desktop GUI.

## 30-Second Setup

```bash
npx @kianwoon/modelweaver init # pick your provider, paste your API key
npx @kianwoon/modelweaver # start the proxy

# In another terminal — point Claude Code at ModelWeaver:
export ANTHROPIC_BASE_URL=http://localhost:3456
export ANTHROPIC_API_KEY=unused-but-required
claude
```

No config file editing. No provider SDK installs. The wizard tests your API key and generates the config automatically.

[Full setup guide](#quick-start) · [All CLI commands](#cli-commands) · [Configuration reference](#configuration)

---

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Screenshot 2026-04-06 at 7 31 49 PM

## What's New — v0.3.73

- **Smart request routing** — classify message content by complexity and route to the appropriate model tier automatically (#97)
- **Single-provider hedge skip** — hedging disabled for single-provider chains, prevents rate-limit amplification (#231)
- **408/504 retry with fresh pool** — request timeout and server-unavailable now retry with a new connection pool (#231)
- **Transient error detection** — detect and retry on transient errors in 400/413 response bodies (#230)
- **GET /v1/models endpoint** — list available models from configured providers (#229)
- **Retry-After header support** — respect provider rate-limit backoff for 429/503 responses (#228)
- **Streaming-only token speed** — TTFB excluded from token-per-second calculations for accurate metrics (#227)
- **Per-model connection pools** — each model gets its own HTTP/2 connection for TCP isolation (#186)
- **GOAWAY-aware retry** — graceful HTTP/2 drain no longer marks pool as "failed" (#188)

[View all releases](https://github.com/kianwoon/modelweaver/releases) · [Full changelog](CHANGELOG.md)

---

## How It Works

ModelWeaver sits between Claude Code and upstream model providers as a local HTTP proxy. It inspects the `model` field in each Anthropic Messages API request and routes it to the best-fit provider.

```
Claude Code ──→ ModelWeaver ──→ Anthropic (primary)
(localhost) ──→ OpenRouter (fallback)

0. Classify message content → tier override? (smartRouting)
1. Match exact model name (modelRouting)
2. Match tier via substring (tierPatterns)
3. Fallback on 429 / 5xx errors
4. Race remaining providers on 429
```

## Features

- **Smart request routing** — classify request complexity by message content (regex keyword scoring) and override the model tier automatically
- **Tier-based routing** — route by model family (sonnet/opus/haiku) using substring pattern matching
- **Exact model routing** — route specific model names to dedicated providers (checked first)
- **Automatic fallback** — transparent failover on rate limits (429) and server errors (5xx)
- **Adaptive racing** — on 429, automatically races remaining providers simultaneously
- **Model name rewriting** — each provider in the chain can use a different model name
- **Weighted distribution** — spread traffic across providers by weight percentage
- **Circuit breaker** — per-provider circuit breaker with closed/open/half-open states, prevents hammering unhealthy providers
- **Request hedging** — sends multiple copies when a provider shows high latency variance (CV > 0.5), returns the fastest response (skipped for single-provider chains to avoid rate-limit amplification)
- **TTFB timeout** — fails slow providers before full timeout elapses (configurable per provider)
- **Stall detection** — detects stalled streams and aborts them, triggering fallback
- **Connection pooling** — per-provider undici Agent dispatcher with configurable pool size
- **Per-model connection pools** — isolate HTTP/2 connections per model via `modelPools` config for TCP-level isolation
- **Connection retry** — automatic retry with exponential backoff for stale connections, TTFB timeouts, and GOAWAY drains
- **Session agent pooling** — reuses HTTP/2 agents across requests within the same session for connection affinity
- **Adaptive TTFB** — dynamically adjusts TTFB timeout based on observed latency history
- **GOAWAY-aware retry** — graceful HTTP/2 GOAWAY drain no longer marks pool as "failed"
- **Stream buffering** — optional time-based and size-based SSE buffering (`streamBufferMs`, `streamBufferBytes`)
- **Health scores** — per-provider health scoring based on latency and error rates
- **Provider error tracking** — per-provider error counts with status code breakdown, displayed in GUI in real-time
- **Concurrent limits** — cap concurrent requests per provider
- **Interactive setup wizard** — guided configuration with API key validation, hedging config, and provider editing
- **Config hot-reload** — changes to config file are picked up automatically, no restart needed
- **Daemon mode** — background process with auto-restart, launchd integration, and reload support
- **Desktop GUI** — native Tauri app with real-time progress bars, provider health, error breakdown, and recent request history

## Why ModelWeaver

### Single-Provider Is a Hobby Setup

Relying on one LLM provider is fine for experiments. For serious development, it's a liability. When your provider degrades — rate limits, slow tokens, stalled streams, outright outages — your entire coding session freezes. A 1-hour task becomes a 3-hour wait-and-retry loop.

ModelWeaver gives you **high availability for AI coding** — multiple providers, automatic failover, and intelligent traffic management. When one provider goes down, you don't even notice.

**What happens without ModelWeaver:**
```
10:00 Coding session starts — everything's fast
10:30 Token generation slows from 80 tok/s to 3 tok/s
10:35 Stream stalls mid-response — you wait
10:40 Retry — 429 rate limit — you wait more
10:50 Another retry — 502 error — you give up
11:30 Start over, lost context
Result: 1-hour job took 4 hours
```

**What happens with ModelWeaver:**
```
10:00 Coding session starts — ModelWeaver routes to Provider A
10:30 Provider A slows down — hedging detects high latency variance
→ sends 2 copies simultaneously, returns the fastest
10:35 Provider A stalls — stall detection aborts in seconds
→ transparent fallback to Provider B, stream continues
10:40 Provider A rate limits (429) — remaining providers race simultaneously
→ recovery in <2s, no context lost
Result: 1-hour job took 1 hour
```

### How It Works

| Problem | What ModelWeaver Does | Recovery Time |
|---|---|---|
| Provider slows down | Hedging sends 2-4 copies, returns fastest | Instant |
| Stream stalls mid-response | Stall detection aborts, falls back to next provider | Seconds |
| 429 rate limit | Races all remaining providers simultaneously | <2s |
| Provider goes down | Circuit breaker opens, traffic rerouted automatically | Seconds |
| All providers unhealthy | Global backoff returns 503 immediately | Immediate |
| Stale HTTP/2 connection | Transparent retry with exponential backoff | Transparent |
| Provider returns errors | Health-score reordering deprioritizes bad providers | Rolling 5-min window |

### Cost Optimization Without Quality Loss

Running everything through one provider at premium rates gets expensive. A full Claude Code session with multiple subagents generates 50-100+ API calls.

- **Weighted routing with health blending**: Traffic automatically shifts toward healthier and cheaper providers when one degrades
- **Tier-based routing**: Haiku-tier Explore agents (cheap, fast) never accidentally hit Opus-tier pricing. Sonnet coding agents don't burn expensive Opus tokens
- **Model rewriting per provider**: The same `claude-sonnet-4-6` model name can route to different models on different providers — zero config changes in Claude Code

### Operational Visibility

When coding through a proxy, you're normally blind to why responses are slow or failing.

- **Desktop GUI**: Real-time progress bars showing which provider handled each request, response time, and whether hedging fired
- **Health scores API**: `curl /api/health-scores` shows per-provider scores (0-1). A score of 0.3 means the provider is failing ~50% of requests
- **Error breakdown**: Per-provider error counts with status code breakdown — spot patterns like a provider returning 502s consistently
- **Circuit breaker state**: See which providers are open/closed/half-open in real-time

### Zero-Downtime Configuration

- **Hot-reload (300ms debounce)**: Edit `config.yaml` and the daemon picks up changes automatically. No restart, no killed in-flight requests
- **SIGHUP reload**: After rebuilding from source, `modelweaver reload` restarts the worker without killing the monitor

## Prerequisites

- **Node.js** 20 or later — [Install Node.js](https://nodejs.org)
- `npx` — included with Node.js (no separate install needed)

## Installation

ModelWeaver requires no permanent install — `npx` downloads and runs it on the fly. But if you prefer a global install:

```bash
npm install -g @kianwoon/modelweaver
```

After that, replace `npx @kianwoon/modelweaver` with `modelweaver` (or the shorter `mw`) in all commands below.

## Quick Start

### 1. Run the setup wizard

```bash
npx @kianwoon/modelweaver init
```

The wizard guides you through:
- Selecting from 6 preset providers (Anthropic, OpenRouter, Together AI, GLM/Z.ai, Minimax, Fireworks)
- Testing API keys to verify connectivity
- Setting up model routing tiers and hedging config
- Creating `~/.modelweaver/config.yaml` and `~/.modelweaver/.env`

### 2. Start ModelWeaver

```bash
# Foreground (see logs in terminal)
npx @kianwoon/modelweaver

# Background daemon (auto-restarts on crash)
npx @kianwoon/modelweaver start

# Install as launchd service (auto-start at login)
npx @kianwoon/modelweaver install
```

### 3. Point Claude Code to ModelWeaver

```bash
export ANTHROPIC_BASE_URL=http://localhost:3456
export ANTHROPIC_API_KEY=unused-but-required
claude
```

## CLI Commands

```bash
npx @kianwoon/modelweaver init # Interactive setup wizard
npx @kianwoon/modelweaver start # Start as background daemon
npx @kianwoon/modelweaver stop # Stop background daemon
npx @kianwoon/modelweaver status # Show daemon status + service state
npx @kianwoon/modelweaver remove # Stop daemon + remove PID and log files
npx @kianwoon/modelweaver reload # Reload daemon worker (after rebuild)
npx @kianwoon/modelweaver install # Install launchd service (auto-start at login)
npx @kianwoon/modelweaver uninstall # Uninstall launchd service
npx @kianwoon/modelweaver gui # Launch desktop GUI (auto-downloads binary)
npx @kianwoon/modelweaver [options] # Run in foreground
```

### CLI Options

```
-p, --port Server port (default: from config)
-c, --config Config file path (auto-detected)
-v, --verbose Enable debug logging (default: off)
-h, --help Show help
```

### Init Options

```
--global Edit global config only
--path Write config to a specific file
```

## Daemon Mode

Run ModelWeaver as a background process that survives terminal closure and auto-recovers from crashes.

```bash
npx @kianwoon/modelweaver start # Start (forks monitor + daemon)
npx @kianwoon/modelweaver status # Check if running
npx @kianwoon/modelweaver reload # Reload worker after rebuild
npx @kianwoon/modelweaver stop # Graceful stop (SIGTERM → SIGKILL after 5s)
npx @kianwoon/modelweaver remove # Stop + remove PID file + log file
npx @kianwoon/modelweaver install # Install launchd service
npx @kianwoon/modelweaver uninstall # Uninstall launchd service
```

**How it works**: `start` forks a lightweight monitor process that owns the PID file. The monitor spawns the actual daemon worker. If the worker crashes, the monitor auto-restarts it with exponential backoff starting at 500ms (up to 10 attempts). After 60 seconds of stable running, the restart counter resets.

```
modelweaver.pid → Monitor process (handles signals, watches child)
└── modelweaver.worker.pid → Daemon worker (runs HTTP server)
```

**Files**:
- `~/.modelweaver/modelweaver.pid` — monitor PID
- `~/.modelweaver/modelweaver.worker.pid` — worker PID
- `~/.modelweaver/modelweaver.log` — daemon output log

## Desktop GUI

ModelWeaver ships a native desktop GUI built with Tauri. No Rust toolchain needed — the binary is auto-downloaded from GitHub Releases.

```bash
npx @kianwoon/modelweaver gui
```

First run downloads the latest binary for your platform (~10-30 MB). Subsequent launches use the cached version.

**GUI features:**
- Real-time progress bars with provider name and model info
- Provider health cards with error counts and status code breakdown
- Recent request history sorted by timestamp
- Config validation error banner
- Auto-reconnect on daemon restart

**Supported platforms:**

| Platform | Format |
|---|---|
| macOS (Apple Silicon) | `.dmg` |
| macOS (Intel) | `.dmg` |
| Linux (x86_64) | `.AppImage` |
| Windows (x86_64) | `.msi` |

**Cached files** are stored in `~/.modelweaver/gui/` with version tracking — new versions download automatically on the next `gui` launch.

## Configuration

### Config file locations

Checked in order (first found wins):
1. `./modelweaver.yaml` (project-local)
2. `~/.modelweaver/config.yaml` (user-global)

### Full config schema

```yaml
server:
port: 3456 # Server port (default: 3456)
host: localhost # Bind address (default: localhost)
streamBufferMs: 0 # Time-based stream flush threshold (default: disabled)
streamBufferBytes: 0 # Size-based stream flush threshold (default: disabled)
globalBackoffEnabled: true # Global backoff on repeated failures (default: true)
unhealthyThreshold: 0.5 # Health score below which provider is unhealthy (default: 0.5, 0–1)
maxBodySizeMB: 10 # Max request body size in MB (default: 10, 1–100)
sessionIdleTtlMs: 600000 # Session agent pool idle TTL in ms (default: 600000 / 10min, min: 60000)
disableThinking: false # Strip thinking blocks from requests (default: false)

# Adaptive request hedging
hedging:
speculativeDelay: 500 # ms before starting backup providers (default: 500)
cvThreshold: 0.5 # latency CV threshold for hedging (default: 0.5)
maxHedge: 4 # max concurrent copies per request (default: 4)

providers:
anthropic:
baseUrl: https://api.anthropic.com
apiKey: ${ANTHROPIC_API_KEY} # Env var substitution
timeout: 20000 # Request timeout in ms (default: 20000)
ttfbTimeout: 8000 # TTFB timeout in ms (default: 8000)
stallTimeout: 15000 # Stall detection timeout (default: 15000)
poolSize: 10 # Connection pool size (default: 10)
concurrentLimit: 10 # Max concurrent requests (default: unlimited)
connectionRetries: 3 # Retries for stale connections (default: 3, max: 10)
staleAgentThresholdMs: 30000 # Mark pooled agent stale after idle ms (optional)
rateLimitBackoffMs: 2000 # Backoff after 429/503 in ms (optional, overrides Retry-After)
retryableErrorPatterns: # Regex patterns for retryable error messages (optional)
- "network error"
- "system error"
modelPools: # Per-model pool size overrides (optional)
"claude-sonnet-4-20250514": 20
modelLimits: # Per-provider token limits (optional)
maxOutputTokens: 16384
authType: anthropic # "anthropic" | "bearer" (default: anthropic)
circuitBreaker: # Per-provider circuit breaker (optional)
failureThreshold: 3 # Failures before opening circuit (alias: threshold, default: 3)
windowSeconds: 60 # Time window for failure count (default: 60)
cooldownSeconds: 30 # Cooldown in seconds (alias: cooldown, also in seconds, default: 30)
rateLimitCooldownSeconds: 10 # Shorter cooldown for 429 rate limits (optional)
openrouter:
baseUrl: https://openrouter.ai/api
apiKey: ${OPENROUTER_API_KEY}
authType: bearer
timeout: 60000

# Exact model name routing (checked FIRST, before tier patterns)
modelRouting:
"glm-5-turbo":
- provider: anthropic
"MiniMax-M2.7":
- provider: openrouter
model: minimax/MiniMax-M2.7 # With model name rewrite
# Weighted distribution example:
# "claude-sonnet-4":
# - provider: anthropic
# weight: 70
# - provider: openrouter
# weight: 30

# Tier-based routing (fallback chain)
routing:
sonnet:
- provider: anthropic
model: claude-sonnet-4-20250514 # Optional: rewrite model name
- provider: openrouter
model: anthropic/claude-sonnet-4 # Fallback
opus:
- provider: anthropic
model: claude-opus-4-20250514
haiku:
- provider: anthropic
model: claude-haiku-4-5-20251001

# Pattern matching: model name includes any string → matched to tier
tierPatterns:
sonnet: ["sonnet", "3-5-sonnet", "3.5-sonnet"]
opus: ["opus", "3-opus", "3.5-opus"]
haiku: ["haiku", "3-haiku", "3.5-haiku"]

# Smart request routing — classify message content and override model tier
# When enabled, analyzes the last user message against regex patterns.
# If cumulative score >= escalationThreshold, routes to the classified tier
# instead of the model requested. Disabled by default.
# smartRouting:
# enabled: true
# escalationThreshold: 2 # minimum score to trigger tier override
# patterns:
# "1": # Tier 1 — best model (e.g., opus-tier)
# - pattern: "architect|design system|from scratch"
# score: 3
# - pattern: "debug|troubleshoot|investigate|root cause"
# score: 2
# "2": # Tier 2 — good model (e.g., sonnet-tier)
# - pattern: "explain|summarize|compare"
# score: 2
# - pattern: "write.*test|refactor|review"
# score: 2
# Requires matching routing entries: routing.tier1, routing.tier2 (tier3 optional)
# Graceful degradation: if classified tier has no providers, tries next tier down
```

### Routing priority

1. **Smart content routing** (`smartRouting`) — if enabled and message content matches classification patterns, override to the classified tier (bypasses all other routing)
2. **Exact model name** (`modelRouting`) — if the request model matches exactly, use that route
3. **Weighted distribution** — if the model has `weight` entries, requests are distributed across providers proportionally
4. **Tier pattern** (`tierPatterns` + `routing`) — substring match the model name against patterns, then use the tier's provider chain
5. **No match** — returns 502 with a descriptive error listing configured tiers and model routes

### Provider chain behavior

- **First provider is primary**, rest are fallbacks
- **Fallback triggers** on: 429 (rate limit), 5xx (server error), network timeout, stream stall
- **Adaptive race mode** — when a 429 is received, remaining providers are raced simultaneously (not sequentially) for faster recovery
- **Circuit breaker** — providers that repeatedly fail are temporarily skipped (auto-recovers after cooldown, configurable window)
- **Hedging skip** — single-provider chains skip hedging entirely (multi-copy to one provider amplifies rate limits without improving outcome)
- **No fallback on**: 4xx (bad request, auth failure, forbidden) — returned immediately (except 429 and transient errors in 400/413 bodies)
- **Model rewriting**: each provider entry can override the `model` field in the request body

### Supported providers

| Provider | Auth Type | Base URL |
|---|---|---|
| Anthropic | `x-api-key` | `https://api.anthropic.com` |
| OpenRouter | Bearer | `https://openrouter.ai/api` |
| Together AI | Bearer | `https://api.together.xyz` |
| GLM (Z.ai) | `x-api-key` | `https://api.z.ai/api/anthropic` |
| Minimax | `x-api-key` | `https://api.minimax.io/anthropic` |
| Fireworks | Bearer | `https://api.fireworks.ai/inference/v1` |

Any OpenAI/Anthropic-compatible API works — just set `baseUrl` and `authType` appropriately.

### Config hot-reload

In daemon mode, ModelWeaver watches the config file for changes and reloads automatically (debounced 300ms). You can also send a manual reload signal:

```bash
kill -SIGHUP $(cat ~/.modelweaver/modelweaver.pid)
```

Or use the CLI:

```bash
npx @kianwoon/modelweaver reload
```

Re-running `npx @kianwoon/modelweaver init` also signals the running daemon to reload.

## API

### Health check

```bash
curl http://localhost:3456/api/status
```

Returns circuit breaker state for all providers and server uptime.

### Version

```bash
curl http://localhost:3456/api/version
```

Returns the running ModelWeaver version.

### Available models

```bash
curl http://localhost:3456/v1/models
```

Returns the list of available models from configured providers (Anthropic-compatible format).

### Connection pool status

```bash
curl http://localhost:3456/api/pool
```

Returns active connection pool state for all providers.

### Health scores

```bash
curl http://localhost:3456/api/health-scores
```

Returns per-provider health scores based on latency and error rates.

### Session pool status

```bash
curl http://localhost:3456/api/sessions
```

Returns session agent pool statistics.

## Observability

```bash
# Aggregated request metrics (by model, provider, error type)
curl http://localhost:3456/api/metrics/summary

# Per-provider circuit breaker state
curl http://localhost:3456/api/circuit-breaker

# Hedging win/loss statistics
curl http://localhost:3456/api/hedging/stats
```

## How Claude Code Uses Model Tiers

Claude Code sends different model names for different agent roles:

| Agent Role | Model Tier | Typical Model Name |
|---|---|---|
| Main conversation, coding | Sonnet | `claude-sonnet-4-20250514` |
| Explore (codebase search) | Haiku | `claude-haiku-4-5-20251001` |
| Plan (analysis) | Sonnet | `claude-sonnet-4-20250514` |
| Complex subagents | Opus | `claude-opus-4-20250514` |
| GLM/Z.ai models | Exact routing | `glm-5-turbo` |
| MiniMax models | Exact routing | `MiniMax-M2.7` |

ModelWeaver uses the model name to determine which agent tier is calling, then routes accordingly.

## Development

```bash
npm install # Install dependencies
npm test # Run tests (307 tests)
npm run build # Build for production (tsup)
npm run dev # Run in dev mode (tsx)
```

## FAQ

**Why do I need `ANTHROPIC_API_KEY=unused-but-required`?**

Claude Code validates that `ANTHROPIC_API_KEY` is set before connecting. ModelWeaver handles real auth to upstream providers — the env var just satisfies Claude Code's startup check.

**Port 3456 is already in use.**

Something else is running on that port. Either stop it, or set a different port in your config:

```yaml
server:
port: 8080
```

Then update `ANTHROPIC_BASE_URL` to match.

**How do I know ModelWeaver is running?**

```bash
curl http://localhost:3456/api/status
```

Returns JSON with uptime and circuit breaker state. Or check the GUI:

```bash
npx @kianwoon/modelweaver gui
```

**How do I switch providers?**

Run `npx @kianwoon/modelweaver init` again — it opens your existing config for editing. Or edit `~/.modelweaver/config.yaml` directly (hot-reloaded automatically in daemon mode).

## License

Apache-2.0