Agent Calling Function Interrupt ERROR

langgenius / dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

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Dify version

0.10.1

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

Sometimes the agent senses the tool, but does not actually call the tool, and it is interrupted. Sometimes, the tool can be called correctly to output the answer.（This is shown in the following two figures）
What are the factors that contribute to this phenomenon? There's no way to fix it?

✔️ Expected Behavior

Expected

❌ Actual Behavior

ERROR

@koki233 Hello there! I'm here to assist you with bug fixes, answer questions, and guide you on how to contribute. While you wait for a human maintainer, feel free to ask me anything.

The interruption in the tool calling process could be due to several factors:

Max Iteration Steps: The process might be reaching the maximum number of iteration steps, which is determined by min(app_config.agent.max_iteration, 5) + 1. If this limit is reached, the tool calling process will stop ^[1].
Tool Availability: If the tool instance is not available, the tool call cannot proceed. This could happen if the tool is not properly configured or if there is an issue with the tool instance itself ^[1].
Tool Call Check: The system checks for tool calls using specific methods. If no tool calls are detected, the process will not proceed with the tool invocation ^[1].
JSON Decoding Errors: Errors in serializing tool call inputs to JSON might affect the process, although there are mechanisms to handle such errors ^[1].

To gain more insights into why the tool calling is interrupted, you can enable debugging by setting dify_config.DEBUG to True. This will log details about tool calls, including inputs, outputs, and errors, which can help diagnose the issue ^[2]. Additionally, integrating Dify with external Ops tools like Langfuse can provide detailed tracking and monitoring of tool invocations ^[3].

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langgenius / dify