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ClawRouter

What it is

ClawRouter is an agent-native LLM router for OpenClaw-focused workflows.

What problem it solves

It helps route model calls across multiple models and providers with low-latency decision logic, which is useful when agent workloads need better cost, speed, or model specialization control.

Where it fits in the stack

Infrastructure / Routing Layer. It sits in the model-routing layer for agent systems, especially OpenClaw-centered stacks.

Typical use cases

  • Routing agent calls across different LLMs
  • Cost-optimizing high-volume agent workflows
  • Selecting specialized models for different OpenClaw tasks

Strengths

  • Designed for agent-native routing rather than generic API abstraction
  • Clear fit for OpenClaw ecosystems
  • Useful when model routing is a first-class operational concern

Limitations

  • More niche than general routing layers like LiteLLM
  • Best fit is OpenClaw-heavy stacks, not every company AI stack

When to use it

  • When OpenClaw is a core part of your workflow and model routing matters
  • When agent workloads need explicit cost and speed tuning across models

When not to use it

  • When a simpler router like LiteLLM is enough
  • When the company is not using OpenClaw or similar agent-native environments

Technical examples

Cost-Based Routing Configuration

Configure ClawRouter to route simple tasks to cheaper models and complex reasoning to premium models.

# clawrouter.yml example
routing_rules:
  - condition: "task_complexity == 'low'"
    target: "gpt-4o-mini"
    fallback: "claude-3-haiku"
  - condition: "task_complexity == 'high'"
    target: "claude-3-5-sonnet"
    fallback: "gpt-4o"

provider_priorities:
  - provider: "anthropic"
    weight: 0.8
  - provider: "openai"
    weight: 0.2

Specialized Model Routing

Route specific agent actions to the best model for that domain (e.g., coding, browsing).

action_routing:
  coding: "claude-3-5-sonnet"
  web_search: "gpt-4o"
  summarization: "claude-3-haiku"

# Example of dynamic routing based on agent state
dynamic_routing:
  - if: "agent_mode == 'fast'"
    target: "gpt-4o-mini"
  - if: "agent_mode == 'accurate'"
    target: "claude-3-5-sonnet"

Technical Workflow: Provider Fallback

Ensure high availability by configuring automatic failover between providers.

failover_groups:
  premium_reasoning:
    primary: "anthropic/claude-3-5-sonnet"
    secondary: "openai/gpt-4o"
    timeout_ms: 5000
    retry_attempts: 2

Example company use cases

  • High-volume agent ops: route routine OpenClaw actions to cheaper models while reserving premium models for harder steps.
  • Multi-model specialization: use one model for browsing, another for code generation, and another for summarization.
  • Cost-aware experimentation: compare routing strategies before standardizing a production model mix.

Selection comments

  • Use ClawRouter when routing is part of the agent architecture itself.
  • Use LiteLLM for broader, provider-agnostic routing across many application teams.
  • Use OpenRouter when you want one billing and access layer, not a deeper routing control plane.

Sources / References

Contribution Metadata

  • Last reviewed: 2026-05-15
  • Confidence: high