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Start building LLM-empowered multi-agent applications in an easier way.

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--- name: Pull Request about: Create a pull request --- ## Description Added features to download models from hugging face model hub/load local hugging face model and fine-tune loaded model...

--- name: Add ZhipuAI model wrappers about: Create a pull request --- ## Description Support ZhipuAI API in agentscope. ## Checklist Please check the following items before code is ready...

documentation
enhancement
ready for review

## Description ## Updates #### Changes on code structure * migrate and reformat RAG/knowledge module(s) and RAG agent(s) from examples to a module in src * add `llama-index` as `rag_requires`...

feature

--- name: Pull Request about: Create a pull request --- ## Description This PR introduces the DBLP search functionality to our application, allowing users to search f through the DBLP...

--- Add post API for embedding model and fix embedding model wrappers --- ## Description * Add post API for embedding model to provide a default choice for some response...

bug
ready for review

## Description Add a prompt tuning module, which provides functions: - System prompt generation (with few-shot examples) - System prompt tuning ## Checklist Please check the following items before code...

**Describe the bug** query:品质最高的装备 ################################################################################ ##################### ITER 1, STEP 1: REASONING ###################### 2024-04-19 11:23:32.633 | DEBUG | agentscope.models.response:to_dict:74 - Text before parsing 我需要使用"get_best_card"函数来找到品质最高的装备。 2024-04-19 11:23:32.634 | DEBUG | agentscope.models.response:to_dict:81 -...

bug

## Description Add examples of tree_of_thougts, see examples/tree_of_thoughts/readme.md for more detail. All modifications are within the examples/tree_of_thoughts/ ## Checklist Please check the following items before code is ready to be...

--- name: Pull Request about: Create a pull request --- ## Description [Partially implement SWE-agent as an example] ## Checklist Please check the following items before code is ready to...

enhancement

我有一个简单的实现, AgentBase def speak( self, content: Union[str, dict], ) -> None: if self.is_tts: logger.chat(content) asyncio.run(async_get_speech(content.content)) else: logger.chat(content) ##### 采用edget_tts 库实现语音播放 import asyncio import io import os import re import tempfile...

enhancement
todo