Summary
Add module-level debug logging to track Agent canvas execution flow
(Closes#9306), enabling developers to diagnose component invocation,
input/output states, and variable resolution without modifying
production code.
Also fix related bugs in message.py: re.sub backreference issue and
unawaited _save_to_memory coroutine causing silent memory save failures.
Changes
agent/canvas.py: log workflow start, component invocation, and component
completion
agent/component/agent_with_tools.py: log Agent parameter resolution and
LLM invocation path; standardize json.dumps usage
agent/component/base.py: log get_input() variable resolution branches
agent/component/message.py: fix re.sub backreference issue; properly
await _save_to_memory coroutine
Design
Uses module-level loggers (logging.getLogger(__name__)) to support
selective debugging: LOG_LEVELS=agent=DEBUG
Zero performance impact in production (INFO level by default)
Works with existing PUT /system/config/log API for runtime level changes
Closes#9306
Note: While adding debug logging, I discovered and fixed two related
bugs in message.py:
- re.sub replacement value was interpreted as regex backreference
instead of literal string
- _save_to_memory coroutine was not properly awaited, causing silent
failures
---------
Co-authored-by: wills <willsgao@163.com>
### What problem does this PR solve?
Python implementation of the Go-based model_provider API suite.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
---------
Co-authored-by: bill <yibie_jingnian@163.com>
### What problem does this PR solve?
When multiple MCP servers expose tools with the same name, the agent
currently registers those tools using their original MCP names. This can
lead to two issues:
- later MCP tools may overwrite earlier ones in the agent tool map
- duplicate function names may be exposed to the LLM
This PR fixes duplicate MCP tool-name handling by applying the same
indexed naming strategy already used for native agent tools. Native
tools are exposed with generated names such as `<tool_name>_<index>` to
avoid collisions, and MCP tools now follow the same convention for
consistency.
Specifically, this PR:
- assigns unique indexed function names to MCP tools exposed to the LLM
- preserves each MCP tool's original server-side name in an
`MCPToolBinding`
- dispatches MCP calls using the original MCP tool name while keeping
the indexed name in the agent tool map
- allows MCP metadata conversion to override only the OpenAI function
name without modifying the original MCP tool metadata
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### Validation
The validation was performed using two MCP servers. Both servers exposed
a tool with the same name: `mcp0`. Both tools take no input parameters.
**MCP Server One:**
<img width="1780" height="625" alt="ONE"
src="https://github.com/user-attachments/assets/801a2654-fc10-4b71-b31c-81841fd40c55"
/>
**MCP Server Two:**
<img width="1777" height="624" alt="Second"
src="https://github.com/user-attachments/assets/c095151d-7bdf-47c8-9bfe-6aaf4a01b944"
/>
**Before the fix:**
When invoking `mcp0`, only the `mcp0` tool from the MCP server injected
later could be called successfully. As shown below, both `mcp0` tools
were present, but only the later-registered one was actually invokable.
<img width="694" height="935" alt="Three"
src="https://github.com/user-attachments/assets/3b9d7ab2-1765-492c-b8e0-bf05a69933ca"
/>
**After the fix:**
Both `mcp0` tools can now be invoked correctly.
<img width="737" height="1095" alt="F"
src="https://github.com/user-attachments/assets/6e896627-2b7f-41bb-becc-daa0c73ff58f"
/>
<img width="730" height="1090" alt="six"
src="https://github.com/user-attachments/assets/aba75593-26ae-4e3b-951d-b45ff177fd32"
/>
### What problem does this PR solve?
agent toolcall null response & schema validation & DeepSeek think
history
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Sandbox don't attach attachment metadata
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add id for table tenant_llm and apply in LLMBundle.
### Type of change
- [x] Refactoring
---------
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>
Co-authored-by: Liu An <asiro@qq.com>
Fixes AttributeError in _remove_reasoning_content() when LLM returns
None, and improves JSON parsing regex for markdown code fences in
agent_with_tools.py
### What problem does this PR solve?
Refact: switch from oogle-generativeai to google-genai #13132
Refact: commnet out unused pywencai.
### Type of change
- [x] Refactoring
### What problem does this PR solve?
As title.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
Co-authored-by: Liu An <asiro@qq.com>
### What problem does this PR solve?
Fix LLM tool does not exist in multiple retrieval case
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
pr:#12117
change:remove duplicate tool_meta
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Fix only one of multiple retrieval tools is effective
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
pr:#12091
change:update method call to use simplified async tool reaction
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
change：
enhance webhook response to include status and success fields and
simplify ReAct agent
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Make RAGFlow more asynchronous 2. #11551, #11579, #11619.
### Type of change
- [x] Refactoring
- [x] Performance Improvement
### What problem does this PR solve?
Make RAGFlow more asynchronous 2. #11551, #11579, #11619.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
- [x] Performance Improvement
### What problem does this PR solve?
issue:
[#11541](https://github.com/infiniflow/ragflow/issues/11541)
change:
enable structured output for agent with tool
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
change:
“After each dialogue turn, the agent component’s output is not reset.”
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
Add mechanism to check cancellation in Agent.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix: Agent.reset() argument wrong #10463 & Unable to converse with agent
through Python API. #10415
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
issue：#5617
change：add IBM DB2 support in ExeSQL
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
Fix broken imports
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
---------
Signed-off-by: jinhai <haijin.chn@gmail.com>
### What problem does this PR solve?
Fixes the issue in the analyze_task execution flow where the Lead Agent
was not utilizing its own sys_prompt during task analysis, resulting in
incorrect or incomplete task planning.
https://github.com/infiniflow/ragflow/issues/9294
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
### What problem does this PR solve?
#9082#6365
<u> **WARNING: it's not compatible with the older version of `Agent`
module, which means that `Agent` from older versions can not work
anymore.**</u>
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
