Xpersona

Crawler Summary

chinese-llm-router answer-first brief

Chinese LLM Router Chinese LLM Router Route your OpenClaw conversations to the best Chinese AI models — no config headaches, just pick and chat. What It Does Gives your OpenClaw instant access to all major Chinese LLMs through a single unified interface: - **DeepSeek** (V3.2 / R1) — Best open-source reasoning, dirt cheap - **Qwen** (Qwen3-Max / Qwen3-Max-Thinking / Qwen3-Coder-Plus) — Alibaba's flagship, strong all-rounder - **GLM** (G Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.

Freshness

Last checked 3/1/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

chinese-llm-router is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

chinese-llm-router

Chinese LLM Router Chinese LLM Router Route your OpenClaw conversations to the best Chinese AI models — no config headaches, just pick and chat. What It Does Gives your OpenClaw instant access to all major Chinese LLMs through a single unified interface: - **DeepSeek** (V3.2 / R1) — Best open-source reasoning, dirt cheap - **Qwen** (Qwen3-Max / Qwen3-Max-Thinking / Qwen3-Coder-Plus) — Alibaba's flagship, strong all-rounder - **GLM** (G

OpenClawself-declared

Public facts

6

Change events

1

Artifacts

0

Freshness

Mar 1, 2026

Verifiededitorial-contentNo verified compatibility signals

Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Mar 1, 2026

Vendor

Xdd Xund

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 3/1/2026.

View Source

Setup snapshot

git clone https://github.com/Xdd-xund/chinese-llm-router.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Xdd Xund

profilemedium
Observed Mar 1, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

4

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

Use DeepSeek V3.2 for this conversation

text

Which Chinese model is best for coding? Switch to it.

json

{
  "providers": {
    "deepseek": {
      "apiKey": "sk-xxx",
      "baseUrl": "https://api.deepseek.com/v1",
      "models": ["deepseek-chat", "deepseek-reasoner"]
    },
    "qwen": {
      "apiKey": "sk-xxx",
      "baseUrl": "https://dashscope.aliyuncs.com/compatible-mode/v1",
      "models": ["qwen3-max", "qwen3-max-thinking", "qwen3-coder-plus"]
    },
    "glm": {
      "apiKey": "xxx.xxx",
      "baseUrl": "https://open.bigmodel.cn/api/paas/v4",
      "models": ["glm-5", "glm-4-plus"]
    },
    "kimi": {
      "apiKey": "sk-xxx",
      "baseUrl": "https://api.moonshot.cn/v1",
      "models": ["kimi-k2.5", "kimi-k2.5-thinking"]
    },
    "doubao": {
      "apiKey": "xxx",
      "baseUrl": "https://ark.cn-beijing.volces.com/api/v3",
      "models": ["doubao-seed-2.0-pro", "doubao-seed-2.0-lite", "doubao-seed-2.0-mini"]
    },
    "minimax": {
      "apiKey": "xxx",
      "baseUrl": "https://api.minimax.chat/v1",
      "models": ["minimax-m2.5"]
    },
    "step": {
      "apiKey": "xxx",
      "baseUrl": "https://api.stepfun.com/v1",
      "models": ["step-3.5-flash"]
    },
    "baichuan": {
      "apiKey": "xxx",
      "baseUrl": "https://api.baichuan-ai.com/v1",
      "models": ["baichuan4-turbo"]
    },
    "spark": {
      "apiKey": "xxx",
      "baseUrl": "https://spark-api-open.xf-yun.com/v1",
      "models": ["spark-v4.0-ultra"]
    },
    "hunyuan": {
      "apiKey": "xxx",
      "baseUrl": "https://api.hunyuan.cloud.tencent.com/v1",
      "models": ["hunyuan-turbo-s"]
    }
  },
  "default": "qwen3-max",
  "fallback": ["deepseek-chat", "doubao-seed-2.0-pro"]
}

bash

node scripts/setup.js

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Chinese LLM Router Chinese LLM Router Route your OpenClaw conversations to the best Chinese AI models — no config headaches, just pick and chat. What It Does Gives your OpenClaw instant access to all major Chinese LLMs through a single unified interface: - **DeepSeek** (V3.2 / R1) — Best open-source reasoning, dirt cheap - **Qwen** (Qwen3-Max / Qwen3-Max-Thinking / Qwen3-Coder-Plus) — Alibaba's flagship, strong all-rounder - **GLM** (G

Full README

Chinese LLM Router

Route your OpenClaw conversations to the best Chinese AI models — no config headaches, just pick and chat.

What It Does

Gives your OpenClaw instant access to all major Chinese LLMs through a single unified interface:

  • DeepSeek (V3.2 / R1) — Best open-source reasoning, dirt cheap
  • Qwen (Qwen3-Max / Qwen3-Max-Thinking / Qwen3-Coder-Plus) — Alibaba's flagship, strong all-rounder
  • GLM (GLM-5 / GLM-4.7) — Zhipu AI, top-tier coding & agent tasks
  • Kimi (K2.5 / K2.5-Thinking) — Moonshot AI, great for long context & vision
  • Doubao Seed 2.0 (Pro / Lite / Mini) — ByteDance, fast & cheap
  • MiniMax (M2.5) — Lightweight powerhouse, runs locally too
  • Step (3.5 Flash) — StepFun, blazing fast inference
  • Baichuan (Baichuan4-Turbo) — Strong Chinese language understanding
  • Spark (v4.0 Ultra) — iFlytek, speech & Chinese NLP specialist
  • Hunyuan (Turbo-S) — Tencent, WeChat ecosystem integration

Quick Start

Tell your OpenClaw:

Use DeepSeek V3.2 for this conversation

Or ask it to pick the best model:

Which Chinese model is best for coding? Switch to it.

Commands

| Command | What it does | |---------|-------------| | list models | Show all available Chinese LLMs with status | | use <model> | Switch to a specific model | | compare <models> | Compare capabilities & pricing | | recommend <task> | Get model recommendation for a task type | | test <model> | Send a test prompt to verify connectivity | | status | Check which models are currently accessible |

Model Selection Guide

| Task | Recommended Model | Why | |------|------------------|-----| | General chat | Qwen3-Max | Best all-rounder, strong Chinese | | Coding | GLM-5 / Kimi K2.5 | Top coding benchmarks | | Math & reasoning | DeepSeek R1 | Purpose-built for reasoning | | Long documents | Kimi K2.5 (128K) / DeepSeek V3.2 (1M) | Massive context windows | | Fast & cheap | Step 3.5 Flash / Doubao Seed 2.0 Mini | Sub-second latency | | Creative writing | Qwen3-Max / Doubao Seed 2.0 Pro | Rich Chinese expression | | Agent tasks | GLM-5 / Qwen3-Max | Best tool-use support |

Configuration

The skill reads API keys from environment or from ~/.chinese-llm-router/config.json:

{
  "providers": {
    "deepseek": {
      "apiKey": "sk-xxx",
      "baseUrl": "https://api.deepseek.com/v1",
      "models": ["deepseek-chat", "deepseek-reasoner"]
    },
    "qwen": {
      "apiKey": "sk-xxx",
      "baseUrl": "https://dashscope.aliyuncs.com/compatible-mode/v1",
      "models": ["qwen3-max", "qwen3-max-thinking", "qwen3-coder-plus"]
    },
    "glm": {
      "apiKey": "xxx.xxx",
      "baseUrl": "https://open.bigmodel.cn/api/paas/v4",
      "models": ["glm-5", "glm-4-plus"]
    },
    "kimi": {
      "apiKey": "sk-xxx",
      "baseUrl": "https://api.moonshot.cn/v1",
      "models": ["kimi-k2.5", "kimi-k2.5-thinking"]
    },
    "doubao": {
      "apiKey": "xxx",
      "baseUrl": "https://ark.cn-beijing.volces.com/api/v3",
      "models": ["doubao-seed-2.0-pro", "doubao-seed-2.0-lite", "doubao-seed-2.0-mini"]
    },
    "minimax": {
      "apiKey": "xxx",
      "baseUrl": "https://api.minimax.chat/v1",
      "models": ["minimax-m2.5"]
    },
    "step": {
      "apiKey": "xxx",
      "baseUrl": "https://api.stepfun.com/v1",
      "models": ["step-3.5-flash"]
    },
    "baichuan": {
      "apiKey": "xxx",
      "baseUrl": "https://api.baichuan-ai.com/v1",
      "models": ["baichuan4-turbo"]
    },
    "spark": {
      "apiKey": "xxx",
      "baseUrl": "https://spark-api-open.xf-yun.com/v1",
      "models": ["spark-v4.0-ultra"]
    },
    "hunyuan": {
      "apiKey": "xxx",
      "baseUrl": "https://api.hunyuan.cloud.tencent.com/v1",
      "models": ["hunyuan-turbo-s"]
    }
  },
  "default": "qwen3-max",
  "fallback": ["deepseek-chat", "doubao-seed-2.0-pro"]
}

Setup

  1. Get API keys from the providers you want (most offer free tiers):

    • DeepSeek: https://platform.deepseek.com
    • Qwen (Alibaba): https://dashscope.console.aliyun.com
    • GLM (Zhipu): https://open.bigmodel.cn
    • Kimi (Moonshot): https://platform.moonshot.cn
    • Doubao (ByteDance): https://console.volcengine.com/ark
    • MiniMax: https://platform.minimaxi.com
    • Step (StepFun): https://platform.stepfun.com
    • Baichuan: https://platform.baichuan-ai.com
    • Spark (iFlytek): https://console.xfyun.cn
    • Hunyuan (Tencent): https://cloud.tencent.com/product/hunyuan

  2. Run the setup script:

    node scripts/setup.js

  3. Done! Your OpenClaw can now use any configured model.

Pricing Reference (Feb 2026)

| Model | Input (¥/M tokens) | Output (¥/M tokens) | Notes | |-------|-------------------|---------------------|-------| | DeepSeek V3.2 | ¥0.5 (cache ¥0.1) | ¥2.0 | Cheapest flagship | | Qwen3-Max | ¥2.0 | ¥6.0 | Free tier available | | GLM-5 | ¥5.0 | ¥5.0 | Just launched, may change | | Kimi K2.5 | ¥2.0 | ¥6.0 | Open source, self-host free | | Doubao Seed 2.0 Pro | ¥0.8 | ¥2.0 | ByteDance subsidy | | Doubao Seed 2.0 Mini | ¥0.15 | ¥0.3 | Ultra cheap | | MiniMax M2.5 | ¥1.0 | ¥3.0 | Can run locally | | Step 3.5 Flash | ¥0.7 | ¥1.4 | Fastest inference |

Prices as of Feb 2026. All providers offer free tiers or credits for new users.

All APIs are OpenAI-Compatible

Every provider listed uses the OpenAI chat/completions format. No special SDKs needed — just change baseUrl and apiKey.

Features

  • Auto-fallback: If one provider is down, automatically try the next
  • Cost tracking: See per-model token usage and estimated cost
  • Smart routing: Describe your task, get the best model recommendation
  • Batch compare: Send the same prompt to multiple models, compare outputs
  • Context-aware: Remembers your model preference per conversation topic

Links

  • 🦐 Try our AI Plaza: https://ai.xudd-v.com
  • 📦 ClawHub: https://clawhub.ai/Xdd-xund/chinese-llm-router
  • 💬 Feedback: https://ai.xudd-v.com/connect.html

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/snapshot"
curl -s "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract"
curl -s "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/Xdd-xund/chinese-llm-router#input",
  "outputSchemaRef": "https://github.com/Xdd-xund/chinese-llm-router#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:41:54.609Z",
  "sourceUpdatedAt": "2026-02-24T19:41:54.609Z",
  "freshnessSeconds": 4422153
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T00:04:27.638Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "now",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "run",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:now|supported|profile capability:run|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Xdd Xund",
    "href": "https://github.com/Xdd-xund/chinese-llm-router",
    "sourceUrl": "https://github.com/Xdd-xund/chinese-llm-router",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-01T06:03:19.295Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:41:54.609Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:54.609Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/Xdd-xund/chinese-llm-router#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:54.609Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/xdd-xund-chinese-llm-router/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to chinese-llm-router and adjacent AI workflows.