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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.

CI CodeQL Release License: Apache-2.0 npm GitHub stars

Screenshot 2026-04-06 at 7 31 49 PM

What's New — v0.3.67

  • Session pool timer leak fixcloseAll() now clears the sweepTimer interval (#199)
  • Tauri GUI crash protection — defensive if let replaces unsafe .unwrap() in setup (#200)
  • WS reconnect timer cleanup — prevent dual polling on reconnect (#198)
  • Monitor signal handler — defensive exit handler prevents double-signal crashes (#197)
  • 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 · Full changelog


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)
                   │
              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

  • 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
  • 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

Uninterrupted Coding Sessions

Claude Code sessions die when the API returns 429 or 5xx — you lose context, wait, and retry manually. With multiple subagents (Explore, Plan, code review) firing simultaneously, one rate limit can cascade into multiple failed agents.

  • 429 → instant race: Instead of waiting for retry-after, all remaining providers are raced simultaneously. Recovery in <2s vs 30-60s wait.
  • Circuit breaker (3 failures in 60s → open): A degraded provider stops receiving traffic within seconds, not minutes. Auto-recovers via half-open probing.
  • Connection retry (exponential backoff, up to 5 retries): Stale HTTP/2 connections, TTFB timeouts, and GOAWAY frames are retried transparently before escalating to fallback.
  • Global backoff: If ALL providers are unhealthy, returns 503 immediately instead of wasting 30+ seconds trying each one sequentially.

Cost Optimization Without Quality Loss

Running everything through Anthropic API at Tier 1/2 rates gets expensive. A full Claude Code session with multiple subagents can generate 50-100+ API calls.

  • Weighted routing with health blending: finalWeight = (1-0.3) * staticWeight + 0.3 * healthScore. Traffic distribution automatically shifts toward healthier providers when a provider 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.

Fast Responses Even With Unstable Providers

Some providers have extreme latency variance (CV 1.5-4.0). A request that normally takes 3 seconds might take 30 seconds, freezing your coding session.

  • Request hedging (CV > 0.5 triggers): Sends 2-4 copies of the same request simultaneously and returns the fastest response. Production data shows providers with CV 1.5-4.0 benefit significantly from hedging.
  • Adaptive TTFB: Dynamically adjusts the "time to first byte" timeout based on each provider's observed latency history. No false positives on slow-but-healthy providers, fast failure on stuck ones.
  • Stall detection (default 15s): If a streaming response stops sending data mid-stream, it aborts and falls back immediately.
  • Health-score reordering: Providers with health scores below 0.5 are deprioritized to the end of fallback chains automatically. Score = 0.7 * successRate + 0.3 * latencyScore (5-minute rolling window).
  • Session agent pooling: Reuses HTTP/2 connections across requests within the same session. Eliminates TCP+TLS handshake overhead per request — critical when subagents fire 10+ requests in rapid succession.

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 (e.g., 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.

Summary

Pain Point Feature Advantage
429 rate limits kill sessions Adaptive racing on 429 <2s recovery vs 30-60s wait
Provider downtime Fallback chains + circuit breaker Automatic failover, no manual intervention
High latency variance Hedging (CV > 0.5) + adaptive TTFB 3-5s responses even with 30s tail latency
Expensive API bills Weighted distribution + tier routing Traffic to cheapest acceptable provider
Blind to failures GUI + health scores + error tracking Know exactly what's failing and why
Stale connections Connection retry + GOAWAY handling Transparent recovery, no visible errors
Config changes need restart Hot-reload (300ms debounce) Change weights mid-session, zero downtime
Connection overhead per request Session agent pooling (HTTP/2 reuse) Faster sequential requests from subagents

Prerequisites

  • Node.js 20 or later — Install Node.js
  • 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:

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

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

# 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

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

CLI Commands

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

Init Options

  --global                 Edit global config only
  --path <file>            Write config to a specific file

Daemon Mode

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

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.

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

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)
    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"]

Routing priority

  1. Exact model name (modelRouting) — if the request model matches exactly, use that route
  2. Weighted distribution — if the model has weight entries, requests are distributed across providers proportionally
  3. Tier pattern (tierPatterns + routing) — substring match the model name against patterns, then use the tier's provider chain
  4. 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)
  • No fallback on: 4xx (bad request, auth failure, forbidden) — returned immediately
  • 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:

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

Or use the CLI:

npx @kianwoon/modelweaver reload

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

API

Health check

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

Returns circuit breaker state for all providers and server uptime.

Version

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

Returns the running ModelWeaver version.

Connection pool status

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

Returns active connection pool state for all providers.

Health scores

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

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

Session pool status

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

Returns session agent pool statistics.

Observability

# 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

npm install          # Install dependencies
npm test             # Run tests (299 tests)
npm run build        # Build for production (tsup)
npm run dev          # Run in dev mode (tsx)

License

Apache-2.0

About

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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