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Docs: Updated tips for max rounds (#9235)

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### What problem does this PR solve?

### Type of change

- [x] Documentation Update
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writinwaters
2025-08-05 10:59:37 +08:00
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parent a249803961
commit dd055deee9
2 changed files with 7 additions and 3 deletions
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6
docs/guides/agent/agent_component_reference/agent.mdx
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@ -82,7 +82,7 @@ An integer specifying the number of previous dialogue rounds to input into the L
This feature is used for multi-turn dialogue *only*. This feature is used for multi-turn dialogue *only*.
::: :::
### Max retrieves ### Max retries
Defines the maximum number of attempts the agent will make to retry a failed task or operation before stopping or reporting failure. Defines the maximum number of attempts the agent will make to retry a failed task or operation before stopping or reporting failure.
@ -94,6 +94,10 @@ The waiting period in seconds that the agent observes before retrying a failed t
Defines the maximum number reflection rounds of the selected chat model. Defaults to 5 rounds. Defines the maximum number reflection rounds of the selected chat model. Defaults to 5 rounds.
:::tip NOTE
You can set the value to 1 to shorten your agent's response time.
:::
### Output ### Output
The global variable name for the output of the **Agent** component, which can be referenced by other components in the workflow. The global variable name for the output of the **Agent** component, which can be referenced by other components in the workflow.

4
docs/release_notes.md
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@ -34,7 +34,7 @@ From v0.20.0 onwards, Agents are no longer compatible with earlier versions, and
- Unified orchestration of both Agents and Workflows. - Unified orchestration of both Agents and Workflows.
- A comprehensive refactor of the Agent, greatly enhancing its capabilities and usability, with support for Multi-Agent configurations, planning and reflection, and visual functionalities. - A comprehensive refactor of the Agent, greatly enhancing its capabilities and usability, with support for Multi-Agent configurations, planning and reflection, and visual functionalities.
- Fully realized MCP functionality, allowing for MCP Server import, Agents functioning as MCP Clients, and RAGFlow itself operating as an MCP Server. - Fully implemented MCP functionality, allowing for MCP Server import, Agents functioning as MCP Clients, and RAGFlow itself operating as an MCP Server.
- Access to runtime logs for Agents. - Access to runtime logs for Agents.
- Chat histories with Agents available through the management panel. - Chat histories with Agents available through the management panel.
- Integration of a new, more robust version of Infinity, enabling the auto-tagging functionality with Infinity as the underlying document engine. - Integration of a new, more robust version of Infinity, enabling the auto-tagging functionality with Infinity as the underlying document engine.
@ -43,7 +43,7 @@ From v0.20.0 onwards, Agents are no longer compatible with earlier versions, and
- RAGFlow’s codebase is now mirrored on Gitee. - RAGFlow’s codebase is now mirrored on Gitee.
- Introduction of a new model provider, Gitee AI. - Introduction of a new model provider, Gitee AI.
### New agent templates ### New agent templates introduced
- Multi-Agent based Deep Research: Collaborative Agent teamwork led by a Lead Agent with multiple Subagents, distinct from traditional workflow orchestration. - Multi-Agent based Deep Research: Collaborative Agent teamwork led by a Lead Agent with multiple Subagents, distinct from traditional workflow orchestration.
- An intelligent Q&A chatbot leveraging internal knowledge bases, designed for customer service and training scenarios. - An intelligent Q&A chatbot leveraging internal knowledge bases, designed for customer service and training scenarios.