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Technical Guide2026-05-1722 min Read

Building AI Agents with Chinese LLMs

Technical guide to developing autonomous AI agents using function calling, tool use, and multi-step reasoning with Chinese models.

AI AgentFunction CallingTool UseAgentic AI

Agent Architecture Components

A production AI agent typically includes:

ComponentFunctionImplementation
PlanningTask decompositionChain-of-thought prompting
MemoryContext retentionVector + summary hybrid
ToolsExternal capabilitiesFunction definitions
ExecutionAction loopWhile/until conditions

Best Chinese LLMs for Agents

Model selection impacts agent performance:

  • DeepSeek R1: Best reasoning for complex task decomposition
  • Qwen Plus: Strong function calling accuracy
  • Yi-Large: Excellent tool selection
  • GLM-4: Good balance of cost and capability

Tool Definition Best Practices

Define tools clearly for optimal performance:

Error Handling & Recovery

Production agents need robust error handling:

  • Implement retry logic with exponential backoff
  • Provide fallback responses for tool failures
  • Log all actions for debugging and optimization
  • Set maximum iteration limits to prevent loops