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feat: Add llms to support the latest Open Source SOTA models (#497)
* 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 --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
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@@ -4,7 +4,7 @@
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from typing import Literal
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# Define available LLM types
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LLMType = Literal["basic", "reasoning", "vision"]
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LLMType = Literal["basic", "reasoning", "vision", "code"]
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# Define agent-LLM mapping
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AGENT_LLM_MAP: dict[str, LLMType] = {
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