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feat: Add llms to support the latest Open Source SOTA models (#497)

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* fix: update README and configuration guide for new model support and reasoning capabilities

* fix: format code for consistency in agent and node files

* fix: update test cases for environment variable handling in llm configuration

* fix: refactor message chunk conversion functions for improved clarity and maintainability

* refactor: remove enable_thinking parameter from LLM configuration functions

* chore: update agent-LLM mapping for consistency

* chore: update LLM configuration handling for improved clarity

* test: add unit tests for Dashscope message chunk conversion and LLM configuration

* test: add unit tests for message chunk conversion in Dashscope

* test: add unit tests for message chunk conversion in Dashscope

* chore: remove unused imports from test_dashscope.py

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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
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CHANGXUBO
2025-08-13 22:29:22 +08:00
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README.md
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@@ -193,7 +193,7 @@ DeerFlow support private knowledgebase such as ragflow and vikingdb, so that you
- 🤖 **LLM Integration**
- It supports the integration of most models through [litellm](https://docs.litellm.ai/docs/providers).
- Support for open source models like Qwen
- Support for open source models like Qwen, you need to read the [configuration](docs/configuration_guide.md) for more details.
- OpenAI-compatible API interface
- Multi-tier LLM system for different task complexities