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fix: 'validation error for ToolInvokeMessage' when blob_message meta is None (#11212)
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tool fix: 'validation error for ToolInvokeMessage' when blob_message meta is None (#11212) 11 meses atrás
utils fix: refactor all 'or []' and 'or {}' logic to make code more clear (#10883) 11 meses atrás
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README_CN.md docs: Add Japanese documentation for tools (#8469) 1 ano atrás
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__init__.py improve: generalize tool parameter converter (#4786) 1 ano atrás
errors.py chore(api/core): apply ruff reformatting (#7624) 1 ano atrás
tool_engine.py make tool parameters parsing compatible with the response of glm4 model in xinference provider when function tool call integerated (#11049) 11 meses atrás
tool_file_manager.py chore(lint): cleanup repeated cause exception in logging.exception replaced by helpful message (#10425) 11 meses atrás
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tool_manager.py chore(lint): cleanup repeated cause exception in logging.exception replaced by helpful message (#10425) 11 meses atrás

README.md

Tools

This module implements built-in tools used in Agent Assistants and Workflows within Dify. You could define and display your own tools in this module, without modifying the frontend logic. This decoupling allows for easier horizontal scaling of Dify’s capabilities.

Feature Introduction

The tools provided for Agents and Workflows are currently divided into two categories:

  • Built-in Tools are internally implemented within our product and are hardcoded for use in Agents and Workflows.
  • Api-Based Tools leverage third-party APIs for implementation. You don’t need to code to integrate these -- simply provide interface definitions in formats like OpenAPI , Swagger, or the OpenAI-plugin on the front-end.

Built-in Tool Providers

Alt text

API Tool Providers

Alt text

Tool Integration

To enable developers to build flexible and powerful tools, we provide two guides:

Quick Integration 👈🏻

Quick integration aims at quickly getting you up to speed with tool integration by walking over an example Google Search tool.

Advanced Integration 👈🏻

Advanced integration will offer a deeper dive into the module interfaces, and explain how to implement more complex capabilities, such as generating images, combining multiple tools, and managing the flow of parameters, images, and files between different tools.