OpenClaw Integration
OpenClaw + TheRouter: AI Agents, Every Channel
Power OpenClaw deployments with health-aware routing, multimodal support, and 125+ models. Automatic failover, cost visibility, enterprise security.
Why TheRouter for OpenClaw
Build reliable, cost-effective AI agents across every channel
Automatic Failover
Health-aware routing with instant provider switching. If one provider fails, your channels stay online with zero manual intervention.
Multimodal Ready
Vision, audio, PDF, and video support across all channels. Run rich multimedia workflows with WhatsApp, Telegram, Discord, and Slack.
Cost Visibility
Per-channel usage tracking with token-level accounting. See exactly what each bot, channel, and conversation costs in real-time.
Enterprise Security
API key isolation, audit logging, GDPR/CCPA compliance. Zero prompt storage by default. Built for enterprise trust requirements.
Unified API
Single OpenAI-compatible endpoint for 125+ models across Anthropic, OpenAI, Google, Bedrock, xAI. No vendor-specific code.
Direct Connections
Every request hits the real provider's real model. No substitution, no pools, no middlemen. Verify on every single request.
Multimodal Capabilities Across Providers
Run vision, audio, and document workflows across all channels
| Anthropic | OpenAI | Google (Vertex AI) | Bedrock | xAI | |
|---|---|---|---|---|---|
| Text | |||||
| Vision | |||||
| Audio | |||||
| Video |
✓ = Full support • = Partial support — = Not supported
Power AI Across Every Channel
Build once, deploy everywhere
Rich multimedia support for business conversations
Telegram
Fast, secure bots with inline queries and webhooks
Discord
Community engagement with slash commands and threads
Slack
Workplace automation and team collaboration
China's leading messaging platform for business and social
Enterprise Security & Trust
Built for production deployments with compliance, audit trails, and privacy guarantees
API Key Isolation
Tenant boundaries enforced at every layer. No cross-tenant access.
Audit Logging
Complete request history with channel, model, cost, and latency tracking.
GDPR/CCPA Ready
Data retention controls, export API, and right-to-deletion support.
Zero Prompt Storage
Request bodies pass through but aren't persisted by default. Metadata only.
Get Started in Minutes
Three steps to production-ready OpenClaw deployment
1
Sign Up & Get API Key
Create your TheRouter account and generate an API key from the dashboard.
Get API Key →2
Install OpenClaw
Install the OpenClaw framework globally or in your project.
npm install -g openclaw3
Configure & Deploy
Copy-paste the JSON5 config into your OpenClaw setup and you're ready.
CLI One-Liner
openclaw onboard --non-interactive \
--provider-name=therouter \
--provider-type=openai \
--provider-url=https://api.therouter.ai/v1 \
--provider-api-key=${THEROUTER_API_KEY} \
--default-model=anthropic/claude-sonnet-4.6OpenClaw Configuration (35 models)
Expand full config ▼
{
// TheRouter OpenClaw Configuration
// 35 curated models covering multimodal, reasoning, coding, and cost-effective use cases
// Copy this entire block into your OpenClaw config file
agents: {
defaults: {
model: {
// Primary model for all agents
primary: "anthropic/claude-sonnet-4.6",
// Automatic fallback models if primary is unavailable
fallbacks: [
"openai/gpt-5.2",
"google/gemini-3-flash-preview"
],
},
},
},
providers: [
{
name: "therouter",
type: "openai",
url: "https://api.therouter.ai/v1",
// Set your API key via environment variable
apiKey: "${THEROUTER_API_KEY}",
models: [
{
"id": "anthropic/claude-opus-4.6",
"name": "Claude Opus 4.6",
"context_length": 1000000,
"max_completion_tokens": 128000,
"pricing": {
"input": 0.000005,
"output": 0.000025,
"cache_read": 5e-7
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"long_context",
"prompt_caching"
]
},
{
"id": "anthropic/claude-sonnet-4.6",
"name": "Claude Sonnet 4.6",
"context_length": 1000000,
"max_completion_tokens": 64000,
"pricing": {
"input": 0.000003,
"output": 0.000015,
"cache_read": 3e-7
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"long_context",
"prompt_caching"
]
},
{
"id": "anthropic/claude-haiku-4.5",
"name": "Claude Haiku 4.5",
"context_length": 200000,
"max_completion_tokens": 8192,
"pricing": {
"input": 0.000001,
"output": 0.000005,
"cache_read": 1.0000000000000001e-7
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"cost_effective",
"prompt_caching"
]
},
{
"id": "anthropic/claude-sonnet-3.7",
"name": "Claude Sonnet 3.7",
"context_length": 200000,
"max_completion_tokens": 16384,
"pricing": {
"input": 0.000003,
"output": 0.000015,
"cache_read": 3e-7
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"extended_thinking"
]
},
{
"id": "anthropic/claude-opus-4.5",
"name": "Claude Opus 4.5",
"context_length": 200000,
"max_completion_tokens": 64000,
"pricing": {
"input": 0.000005,
"output": 0.000025,
"cache_read": 5e-7
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"computer_use"
]
},
{
"id": "openai/gpt-5.4",
"name": "GPT-5.4",
"context_length": 1000000,
"max_completion_tokens": 128000,
"pricing": {
"input": 0.0000025,
"output": 0.000015,
"cache_read": 2.5e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"long_context",
"prompt_caching"
]
},
{
"id": "openai/gpt-5.2",
"name": "GPT-5.2",
"context_length": 400000,
"max_completion_tokens": 128000,
"pricing": {
"input": 0.00000175,
"output": 0.000014,
"cache_read": 1.75e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"prompt_caching"
]
},
{
"id": "openai/gpt-5-mini",
"name": "GPT-5 Mini",
"context_length": 400000,
"max_completion_tokens": 128000,
"pricing": {
"input": 2.5e-7,
"output": 0.000002,
"cache_read": 2.5000000000000002e-8
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"cost_effective",
"prompt_caching"
]
},
{
"id": "openai/gpt-4.1",
"name": "GPT-4.1",
"context_length": 1047576,
"max_completion_tokens": 32768,
"pricing": {
"input": 0.000002,
"output": 0.000008,
"cache_read": 5e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"long_context",
"prompt_caching"
]
},
{
"id": "openai/gpt-4.1-mini",
"name": "GPT-4.1 Mini",
"context_length": 1047576,
"max_completion_tokens": 32768,
"pricing": {
"input": 4.0000000000000003e-7,
"output": 0.0000016000000000000001,
"cache_read": 1.0000000000000001e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"cost_effective",
"long_context",
"prompt_caching"
]
},
{
"id": "openai/o3",
"name": "o3",
"context_length": 200000,
"max_completion_tokens": 100000,
"pricing": {
"input": 0.000002,
"output": 0.000008,
"cache_read": 5e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"deep_reasoning"
]
},
{
"id": "openai/o4-mini",
"name": "o4-mini",
"context_length": 200000,
"max_completion_tokens": 100000,
"pricing": {
"input": 0.0000011,
"output": 0.0000044,
"cache_read": 2.75e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"cost_effective"
]
},
{
"id": "openai/gpt-audio-1.5",
"name": "gpt-audio-1.5",
"context_length": 128000,
"max_completion_tokens": 16384,
"pricing": {
"input": 0.000004,
"output": 0.000016,
"cache_read": 4.0000000000000003e-7
},
"modality": {
"input": [
"text",
"audio",
"image"
],
"output": [
"text",
"audio"
]
},
"capabilities": [
"vision",
"audio_input",
"audio_output",
"tools",
"multimodal"
]
},
{
"id": "openai/gpt-5-codex",
"name": "GPT-5-Codex",
"context_length": 400000,
"max_completion_tokens": 128000,
"pricing": {
"input": 0.00000125,
"output": 0.00001,
"cache_read": 1.25e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"coding",
"prompt_caching"
]
},
{
"id": "openai/gpt-5.3-codex",
"name": "GPT-5.3-Codex",
"context_length": 400000,
"max_completion_tokens": 128000,
"pricing": {
"input": 0.000005,
"output": 0.00004,
"cache_read": 5e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"coding",
"prompt_caching"
]
},
{
"id": "openai/gpt-realtime-1.5",
"name": "gpt-realtime-1.5",
"context_length": 128000,
"max_completion_tokens": 16384,
"pricing": {
"input": 0.000004,
"output": 0.000016,
"cache_read": 4.0000000000000003e-7
},
"modality": {
"input": [
"text",
"audio",
"image"
],
"output": [
"text",
"audio"
]
},
"capabilities": [
"vision",
"audio_input",
"audio_output",
"tools",
"realtime"
]
},
{
"id": "google/gemini-3.1-pro-preview",
"name": "Gemini 3.1 Pro Preview",
"context_length": 1000000,
"max_completion_tokens": 65536,
"pricing": {
"input": 0.000002,
"output": 0.000012,
"cache_read": 2.0000000000000002e-7
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"long_context",
"prompt_caching"
]
},
{
"id": "google/gemini-3-flash-preview",
"name": "Gemini 3 Flash Preview",
"context_length": 1000000,
"max_completion_tokens": 65536,
"pricing": {
"input": 5e-7,
"output": 0.000003,
"cache_read": 5.0000000000000004e-8
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"long_context",
"cost_effective",
"prompt_caching"
]
},
{
"id": "google/gemini-3.1-flash-lite-preview",
"name": "Gemini 3.1 Flash Lite Preview",
"context_length": 1000000,
"max_completion_tokens": 65536,
"pricing": {
"input": 2.5e-7,
"output": 0.0000015,
"cache_read": 2.5000000000000002e-8
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"long_context",
"cost_effective",
"prompt_caching"
]
},
{
"id": "google/gemini-2.5-pro",
"name": "Gemini 2.5 Pro",
"context_length": 1048576,
"max_completion_tokens": 65536,
"pricing": {
"input": 0.00000125,
"output": 0.00001,
"cache_read": 1.25e-7
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"long_context",
"thinking",
"prompt_caching"
]
},
{
"id": "google/gemini-2.5-flash",
"name": "Gemini 2.5 Flash",
"context_length": 1048576,
"max_completion_tokens": 65536,
"pricing": {
"input": 3e-7,
"output": 0.0000025,
"cache_read": 3e-8
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"long_context",
"thinking",
"prompt_caching"
]
},
{
"id": "google/gemini-2.5-flash-lite",
"name": "Gemini 2.5 Flash Lite",
"context_length": 1048576,
"max_completion_tokens": 65536,
"pricing": {
"input": 1.0000000000000001e-7,
"output": 4.0000000000000003e-7,
"cache_read": 1e-8
},
"modality": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"long_context",
"cost_effective",
"prompt_caching"
]
},
{
"id": "google/gemini-3.1-flash-image-preview",
"name": "Gemini 3.1 Flash Image Preview",
"context_length": 131072,
"max_completion_tokens": 32768,
"pricing": {
"input": 5e-7,
"output": 0.00006
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text",
"image"
]
},
"capabilities": [
"vision",
"image_generation",
"multimodal"
]
},
{
"id": "xai/grok-4",
"name": "Grok 4",
"context_length": 256000,
"max_completion_tokens": 65536,
"pricing": {
"input": 0.0000045,
"output": 0.0000225,
"cache_read": 0.000001125
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"deep_reasoning"
]
},
{
"id": "xai/grok-4-1-fast-reasoning",
"name": "Grok 4.1 Fast Reasoning",
"context_length": 2000000,
"max_completion_tokens": 65536,
"pricing": {
"input": 3e-7,
"output": 7.5e-7,
"cache_read": 7.5e-8
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"long_context",
"prompt_caching"
]
},
{
"id": "xai/grok-code-fast-1",
"name": "Grok Code Fast 1",
"context_length": 256000,
"max_completion_tokens": 65536,
"pricing": {
"input": 3e-7,
"output": 0.00000225,
"cache_read": 3e-8
},
"modality": {
"input": [
"text"
],
"output": [
"text"
]
},
"capabilities": [
"reasoning",
"tools",
"coding"
]
},
{
"id": "deepseek/deepseek-v3.2",
"name": "DeepSeek V3.2",
"context_length": 128000,
"max_completion_tokens": 32768,
"pricing": {
"input": 8.000000000000001e-7,
"output": 0.0000024
},
"modality": {
"input": [
"text"
],
"output": [
"text"
]
},
"capabilities": [
"reasoning",
"tools",
"coding",
"cost_effective"
]
},
{
"id": "deepseek/deepseek-r1",
"name": "DeepSeek R1",
"context_length": 128000,
"max_completion_tokens": 32768,
"pricing": {
"input": 0.00000175,
"output": 0.000007
},
"modality": {
"input": [
"text"
],
"output": [
"text"
]
},
"capabilities": [
"reasoning",
"deep_reasoning",
"chain_of_thought",
"coding"
]
},
{
"id": "meta/llama-4-maverick",
"name": "Llama 4 Maverick",
"context_length": 1000000,
"max_completion_tokens": 16384,
"pricing": {
"input": 3e-7,
"output": 0.00000125
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"long_context",
"multilingual"
]
},
{
"id": "meta/llama-4-scout",
"name": "Llama 4 Scout",
"context_length": 10000000,
"max_completion_tokens": 16384,
"pricing": {
"input": 2.2e-7,
"output": 8.5e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"tools",
"extreme_context",
"multilingual"
]
},
{
"id": "meta/llama-3.2-90b",
"name": "Llama 3.2 90B Vision",
"context_length": 128000,
"max_completion_tokens": 8192,
"pricing": {
"input": 9.000000000000001e-7,
"output": 9.000000000000001e-7
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"multimodal"
]
},
{
"id": "qwen/qwen3-235b",
"name": "Qwen3 235B",
"context_length": 131072,
"max_completion_tokens": 32768,
"pricing": {
"input": 3e-7,
"output": 0.00000115
},
"modality": {
"input": [
"text"
],
"output": [
"text"
]
},
"capabilities": [
"reasoning",
"tools",
"multilingual",
"thinking"
]
},
{
"id": "qwen/qwen3-coder-480b",
"name": "Qwen3 Coder 480B",
"context_length": 262144,
"max_completion_tokens": 65536,
"pricing": {
"input": 6e-7,
"output": 0.00000235
},
"modality": {
"input": [
"text"
],
"output": [
"text"
]
},
"capabilities": [
"tools",
"coding",
"long_context"
]
},
{
"id": "mistral/mistral-large-3",
"name": "Mistral Large 3",
"context_length": 128000,
"max_completion_tokens": 16384,
"pricing": {
"input": 6.5e-7,
"output": 0.000002
},
"modality": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"capabilities": [
"vision",
"reasoning",
"tools",
"multilingual"
]
},
{
"id": "mistral/devstral-2",
"name": "Devstral 2",
"context_length": 128000,
"max_completion_tokens": 16384,
"pricing": {
"input": 5.5e-7,
"output": 0.0000026
},
"modality": {
"input": [
"text"
],
"output": [
"text"
]
},
"capabilities": [
"tools",
"coding"
]
}
],
},
],
}Or Install TheRouter Skill
Works with Claude Code, OpenClaw, Cursor, Gemini CLI, and 30+ agent tools
clawhub install therouter-apinpx @skill-hub/cli install therouter-apiFrequently Asked Questions
Common questions about using TheRouter with OpenClaw deployments
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