How to realize the combined invocation of multiple tools in complex AI experiments?

2025-08-27

1.9 K

Multi-tool synergistic engineering practice programs

For complex experimental scenarios where multiple tools need to be combined, the following realization paths are suggested:

Tool chain design::
1. Clearly defined input and output specifications for each tool
2. Create a tool dependency diagram
3. Design of intermediate results delivery mechanisms
Code generation optimization::
- Emphasize toolset strategies in system tips
- Example: "Call the crawler tool first to get the data, then use the analyzer tool to process the results"
execution monitoring::
- Use .stream() to watch the tool call order in real time
- Implementation of exception handling tools

Hands-on case:

@tool
def tool_a(input):...
@tool
def tool_b(input):...
# 智能体会自动生成：
data = tool_a("参数")
result = tool_b(data)

Advanced tip: Tool execution tracking can be achieved by modifying the eval parameter of create_codeact.