From e50a06fd000b1b53e94d4ff2cec62e0aa756b8b0 Mon Sep 17 00:00:00 2001 From: weiweiw <14335254+weiweiw22@user.noreply.gitee.com> Date: Sun, 29 Dec 2024 15:59:16 +0800 Subject: [PATCH] commit configuration files --- chatchat_data/basic_settings.yaml | 43 ++++ chatchat_data/kb_settings.yaml | 114 +++++++++++ chatchat_data/model_settings.yaml | 189 ++++++++++++++++++ chatchat_data/prompt_settings.yaml | 76 +++++++ chatchat_data/tool_settings.yaml | 96 +++++++++ .../agent/tools_factory/tools_registry.py | 2 + .../agent/tools_factory/weather_check.py | 1 + .../chatchat/server/api_server/chat_routes.py | 5 + libs/chatchat-server/chatchat/webui.py | 2 +- 9 files changed, 527 insertions(+), 1 deletion(-) create mode 100644 chatchat_data/basic_settings.yaml create mode 100644 chatchat_data/kb_settings.yaml create mode 100644 chatchat_data/model_settings.yaml create mode 100644 chatchat_data/prompt_settings.yaml create mode 100644 chatchat_data/tool_settings.yaml diff --git a/chatchat_data/basic_settings.yaml b/chatchat_data/basic_settings.yaml new file mode 100644 index 0000000..9fa33f3 --- /dev/null +++ b/chatchat_data/basic_settings.yaml @@ -0,0 +1,43 @@ +# 服务器基本配置信息 +# 除 log_verbose/HTTPX_DEFAULT_TIMEOUT 修改后即时生效 +# 其它配置项修改后都需要重启服务器才能生效，服务运行期间请勿修改 + + +# 生成该配置模板的项目代码版本，如这里的值与程序实际版本不一致，建议重建配置文件模板 +version: 0.3.1.3 + +# 是否开启日志详细信息 +log_verbose: false + +# httpx 请求默认超时时间（秒）。如果加载模型或对话较慢，出现超时错误，可以适当加大该值。 +HTTPX_DEFAULT_TIMEOUT: 300.0 + +# 知识库默认存储路径 +KB_ROOT_PATH: /home/bns001/Langchain-Chatchat-latest-dev/chatchat_data/data/knowledge_base + +# 数据库默认存储路径。如果使用sqlite，可以直接修改DB_ROOT_PATH；如果使用其它数据库，请直接修改SQLALCHEMY_DATABASE_URI。 +DB_ROOT_PATH: + /home/bns001/Langchain-Chatchat-latest-dev/chatchat_data/data/knowledge_base/info.db + +# 知识库信息数据库连接URI +SQLALCHEMY_DATABASE_URI: + sqlite:////home/bns001/Langchain-Chatchat-latest-dev/chatchat_data/data/knowledge_base/info.db + +# API 是否开启跨域 +OPEN_CROSS_DOMAIN: false + +# 各服务器默认绑定host。如改为"0.0.0.0"需要修改下方所有XX_SERVER的host +# Windows 下 WEBUI 自动弹出浏览器时，如果地址为 "0.0.0.0" 是无法访问的，需要手动修改地址栏 +DEFAULT_BIND_HOST: 0.0.0.0 + +# API 服务器地址。其中 public_host 用于生成云服务公网访问链接（如知识库文档链接） +API_SERVER: + host: 0.0.0.0 + port: 7861 + public_host: 127.0.0.1 + public_port: 7861 + +# WEBUI 服务器地址 +WEBUI_SERVER: + host: 0.0.0.0 + port: 8501 diff --git a/chatchat_data/kb_settings.yaml b/chatchat_data/kb_settings.yaml new file mode 100644 index 0000000..a5530ee --- /dev/null +++ b/chatchat_data/kb_settings.yaml @@ -0,0 +1,114 @@ +# 知识库相关配置 + + +# 默认使用的知识库 +DEFAULT_KNOWLEDGE_BASE: samples + +# 默认向量库/全文检索引擎类型 +# 可选值：['faiss', 'milvus', 'zilliz', 'pg', 'es', 'relyt', 'chromadb'] +DEFAULT_VS_TYPE: faiss + +# 缓存向量库数量（针对FAISS） +CACHED_VS_NUM: 1 + +# 缓存临时向量库数量（针对FAISS），用于文件对话 +CACHED_MEMO_VS_NUM: 10 + +# 知识库中单段文本长度(不适用MarkdownHeaderTextSplitter) +CHUNK_SIZE: 750 + +# 知识库中相邻文本重合长度(不适用MarkdownHeaderTextSplitter) +OVERLAP_SIZE: 150 + +# 知识库匹配向量数量 +VECTOR_SEARCH_TOP_K: 3 + +# 知识库匹配相关度阈值，取值范围在0-2之间，SCORE越小，相关度越高，取到2相当于不筛选，建议设置在0.5左右 +SCORE_THRESHOLD: 2.0 + +# 默认搜索引擎 +# 可选值：['bing', 'duckduckgo', 'metaphor', 'searx'] +DEFAULT_SEARCH_ENGINE: duckduckgo + +# 搜索引擎匹配结题数量 +SEARCH_ENGINE_TOP_K: 3 + +# 是否开启中文标题加强，以及标题增强的相关配置 +ZH_TITLE_ENHANCE: false + +# PDF OCR 控制：只对宽高超过页面一定比例（图片宽/页面宽，图片高/页面高）的图片进行 OCR。 +# 这样可以避免 PDF 中一些小图片的干扰，提高非扫描版 PDF 处理速度 +PDF_OCR_THRESHOLD: + - 0.6 + - 0.6 + +# 每个知识库的初始化介绍，用于在初始化知识库时显示和Agent调用，没写则没有介绍，不会被Agent调用。 +KB_INFO: + samples: 关于本项目issue的解答 + +# 可选向量库类型及对应配置 +kbs_config: + faiss: {} + milvus: + host: 127.0.0.1 + port: '19530' + user: '' + password: '' + secure: false + zilliz: + host: in01-a7ce524e41e3935.ali-cn-hangzhou.vectordb.zilliz.com.cn + port: '19530' + user: '' + password: '' + secure: true + pg: + connection_uri: postgresql://postgres:postgres@127.0.0.1:5432/langchain_chatchat + relyt: + connection_uri: postgresql+psycopg2://postgres:postgres@127.0.0.1:7000/langchain_chatchat + es: + scheme: http + host: 127.0.0.1 + port: '9200' + index_name: test_index + user: '' + password: '' + verify_certs: true + ca_certs: + client_cert: + client_key: + milvus_kwargs: + search_params: + metric_type: L2 + index_params: + metric_type: L2 + index_type: HNSW + chromadb: {} + +# TextSplitter配置项，如果你不明白其中的含义，就不要修改。 +# source 如果选择tiktoken则使用openai的方法 "huggingface" +text_splitter_dict: + ChineseRecursiveTextSplitter: + source: '' + tokenizer_name_or_path: '' + SpacyTextSplitter: + source: huggingface + tokenizer_name_or_path: gpt2 + RecursiveCharacterTextSplitter: + source: tiktoken + tokenizer_name_or_path: cl100k_base + MarkdownHeaderTextSplitter: + headers_to_split_on: + - - '#' + - head1 + - - '##' + - head2 + - - '###' + - head3 + - - '####' + - head4 + +# TEXT_SPLITTER 名称 +TEXT_SPLITTER_NAME: ChineseRecursiveTextSplitter + +# Embedding模型定制词语的词表文件 +EMBEDDING_KEYWORD_FILE: embedding_keywords.txt diff --git a/chatchat_data/model_settings.yaml b/chatchat_data/model_settings.yaml new file mode 100644 index 0000000..ccdbcbd --- /dev/null +++ b/chatchat_data/model_settings.yaml @@ -0,0 +1,189 @@ +# 模型配置项 + + +# 默认选用的 LLM 名称 +DEFAULT_LLM_MODEL: qwen2-instruct + +# 默认选用的 Embedding 名称 +DEFAULT_EMBEDDING_MODEL: bge-large-zh-v1.5 + +# AgentLM模型的名称 (可以不指定，指定之后就锁定进入Agent之后的Chain的模型，不指定就是 DEFAULT_LLM_MODEL) +Agent_MODEL: '' + +# 默认历史对话轮数 +HISTORY_LEN: 3 + +# 大模型最长支持的长度，如果不填写，则使用模型默认的最大长度，如果填写，则为用户设定的最大长度 +MAX_TOKENS: + +# LLM通用对话参数 +TEMPERATURE: 0.7 + +# 支持的Agent模型 +SUPPORT_AGENT_MODELS: + - chatglm3-6b + - glm-4 + - openai-api + - Qwen-2 + - qwen2-instruct + - gpt-3.5-turbo + - gpt-4o + +# LLM模型配置，包括了不同模态初始化参数。 +# `model` 如果留空则自动使用 DEFAULT_LLM_MODEL +LLM_MODEL_CONFIG: + preprocess_model: + model: '' + temperature: 0.05 + max_tokens: 4096 + history_len: 10 + prompt_name: default + callbacks: false + llm_model: + model: '' + temperature: 0.9 + max_tokens: 4096 + history_len: 10 + prompt_name: default + callbacks: true + action_model: + model: '' + temperature: 0.01 + max_tokens: 4096 + history_len: 10 + prompt_name: ChatGLM3 + callbacks: true + postprocess_model: + model: '' + temperature: 0.01 + max_tokens: 4096 + history_len: 10 + prompt_name: default + callbacks: true + image_model: + model: sd-turbo + size: 256*256 + +# # 模型加载平台配置 + + +# # 平台名称 +# platform_name: xinference + +# # 平台类型 +# # 可选值：['xinference', 'ollama', 'oneapi', 'fastchat', 'openai', 'custom openai'] +# platform_type: xinference + +# # openai api url +# api_base_url: http://127.0.0.1:9997/v1 + +# # api key if available +# api_key: EMPTY + +# # API 代理 +# api_proxy: '' + +# # 该平台单模型最大并发数 +# api_concurrencies: 5 + +# # 是否自动获取平台可用模型列表。设为 True 时下方不同模型类型可自动检测 +# auto_detect_model: false + +# # 该平台支持的大语言模型列表，auto_detect_model 设为 True 时自动检测 +# llm_models: [] + +# # 该平台支持的嵌入模型列表，auto_detect_model 设为 True 时自动检测 +# embed_models: [] + +# # 该平台支持的图像生成模型列表，auto_detect_model 设为 True 时自动检测 +# text2image_models: [] + +# # 该平台支持的多模态模型列表，auto_detect_model 设为 True 时自动检测 +# image2text_models: [] + +# # 该平台支持的重排模型列表，auto_detect_model 设为 True 时自动检测 +# rerank_models: [] + +# # 该平台支持的 STT 模型列表，auto_detect_model 设为 True 时自动检测 +# speech2text_models: [] + +# # 该平台支持的 TTS 模型列表，auto_detect_model 设为 True 时自动检测 +# text2speech_models: [] +MODEL_PLATFORMS: + - platform_name: xinference + platform_type: xinference + api_base_url: http://127.0.0.1:9997/v1 + api_key: EMPTY + api_proxy: '' + api_concurrencies: 5 + auto_detect_model: true + llm_models: [] + embed_models: [] + text2image_models: [] + image2text_models: [] + rerank_models: [] + speech2text_models: [] + text2speech_models: [] + - platform_name: ollama + platform_type: ollama + api_base_url: http://127.0.0.1:11434/v1 + api_key: EMPTY + api_proxy: '' + api_concurrencies: 5 + auto_detect_model: false + llm_models: + - qwen:7b + - qwen2:7b + embed_models: + - quentinz/bge-large-zh-v1.5 + text2image_models: [] + image2text_models: [] + rerank_models: [] + speech2text_models: [] + text2speech_models: [] + - platform_name: oneapi + platform_type: oneapi + api_base_url: http://127.0.0.1:3000/v1 + api_key: sk- + api_proxy: '' + api_concurrencies: 5 + auto_detect_model: false + llm_models: + - chatglm_pro + - chatglm_turbo + - chatglm_std + - chatglm_lite + - qwen-turbo + - qwen-plus + - qwen-max + - qwen-max-longcontext + - ERNIE-Bot + - ERNIE-Bot-turbo + - ERNIE-Bot-4 + - SparkDesk + embed_models: + - text-embedding-v1 + - Embedding-V1 + text2image_models: [] + image2text_models: [] + rerank_models: [] + speech2text_models: [] + text2speech_models: [] + - platform_name: openai + platform_type: openai + api_base_url: https://api.openai.com/v1 + api_key: sk-proj- + api_proxy: '' + api_concurrencies: 5 + auto_detect_model: false + llm_models: + - gpt-4o + - gpt-3.5-turbo + embed_models: + - text-embedding-3-small + - text-embedding-3-large + text2image_models: [] + image2text_models: [] + rerank_models: [] + speech2text_models: [] + text2speech_models: [] diff --git a/chatchat_data/prompt_settings.yaml b/chatchat_data/prompt_settings.yaml new file mode 100644 index 0000000..0196c15 --- /dev/null +++ b/chatchat_data/prompt_settings.yaml @@ -0,0 +1,76 @@ +# Prompt 模板.除 Agent 模板使用 f-string 外，其它均使用 jinja2 格式 + + +# 意图识别用模板 +preprocess_model: + default: "你只要回复0 和 1 ，代表不需要使用工具。以下几种问题不需要使用工具:\n1. 需要联网查询的内容\n2. 需要计算的内容\n3. 需要查询实时性的内容\n\ + 如果我的输入满足这几种情况，返回1。其他输入，请你回复0，你只要返回一个数字\n这是我的问题:" + +# 普通 LLM 用模板 +llm_model: + default: '{{input}}' + with_history: "The following is a friendly conversation between a human and an AI.\n + The AI is talkative and provides lots of specific details from its context.\n + If the AI does not know the answer to a question, it truthfully says it does not + know.\n\nCurrent conversation:\n{{history}}\nHuman: {{input}}\nAI:" + +# RAG 用模板，可用于知识库问答、文件对话、搜索引擎对话 +rag: + default: "【指令】根据已知信息，简洁和专业的来回答问题。如果无法从中得到答案，请说 “根据已知信息无法回答该问题”，不允许在答案中添加编造成分，答案请使用中文。\n\ + \n【已知信息】{{context}}\n\n【问题】{{question}}\n" + empty: "请你回答我的问题:\n{{question}}" + +# Agent 模板 +action_model: + GPT-4: "Answer the following questions as best you can. You have access to the following + tools:\nThe way you use the tools is by specifying a json blob.\nSpecifically, + this json should have a `action` key (with the name of the tool to use) and a + `action_input` key (with the input to the tool going here).\nThe only values that + should be in the \"action\" field are: {tool_names}\nThe $JSON_BLOB should only + contain a SINGLE action, do NOT return a list of multiple actions. Here is an + example of a valid $JSON_BLOB:\n```\n\n{{{{\n \"action\": $TOOL_NAME,\n \"action_input\"\ + : $INPUT\n}}}}\n```\n\nALWAYS use the following format:\nQuestion: the input question + you must answer\nThought: you should always think about what to do\nAction:\n + ```\n\n$JSON_BLOB```\n\nObservation: the result of the action\n... (this Thought/Action/Observation + can repeat N times)\nThought: I now know the final answer\nFinal Answer: the final + answer to the original input question\nBegin! Reminder to always use the exact + characters `Final Answer` when responding.\nQuestion:{input}\nThought:{agent_scratchpad}\n" + ChatGLM3: "You can answer using the tools.Respond to the human as helpfully and + accurately as possible.\nYou have access to the following tools:\n{tools}\nUse + a json blob to specify a tool by providing an action key (tool name)\nand an action_input + key (tool input).\nValid \"action\" values: \"Final Answer\" or [{tool_names}]\n + Provide only ONE action per $JSON_BLOB, as shown:\n\n```\n{{{{\n \"action\": + $TOOL_NAME,\n \"action_input\": $INPUT\n}}}}\n```\n\nFollow this format:\n\n + Question: input question to answer\nThought: consider previous and subsequent + steps\nAction:\n```\n$JSON_BLOB\n```\nObservation: action result\n... (repeat + Thought/Action/Observation N times)\nThought: I know what to respond\nAction:\n\ + ```\n{{{{\n \"action\": \"Final Answer\",\n \"action_input\": \"Final response + to human\"\n}}}}\nBegin! Reminder to ALWAYS respond with a valid json blob of + a single action. Use tools if necessary.\nRespond directly if appropriate. Format + is Action:```$JSON_BLOB```then Observation:.\nQuestion: {input}\n\n{agent_scratchpad}\n" + qwen: "Answer the following questions as best you can. You have access to the following + APIs:\n\n{tools}\n\nUse the following format:\n\nQuestion: the input question + you must answer\nThought: you should always think about what to do\nAction: the + action to take, should be one of [{tool_names}]\nAction Input: the input to the + action\nObservation: the result of the action\n... (this Thought/Action/Action + Input/Observation can be repeated zero or more times)\nThought: I now know the + final answer\nFinal Answer: the final answer to the original input question\n\n + Format the Action Input as a JSON object.\n\nBegin!\n\nQuestion: {input}\n\n{agent_scratchpad}\n\ + \n" + structured-chat-agent: "Respond to the human as helpfully and accurately as possible. + You have access to the following tools:\n\n{tools}\n\nUse a json blob to specify + a tool by providing an action key (tool name) and an action_input key (tool input).\n + \nValid \"action\" values: \"Final Answer\" or {tool_names}\n\nProvide only ONE + action per $JSON_BLOB, as shown:\n\n```\n{{\n \"action\": $TOOL_NAME,\n \"action_input\"\ + : $INPUT\n}}\n```\n\nFollow this format:\n\nQuestion: input question to answer\n + Thought: consider previous and subsequent steps\nAction:\n```\n$JSON_BLOB\n```\n + Observation: action result\n... (repeat Thought/Action/Observation N times)\n + Thought: I know what to respond\nAction:\n```\n{{\n \"action\": \"Final Answer\"\ + ,\n \"action_input\": \"Final response to human\"\n}}\n\nBegin! Reminder to ALWAYS + respond with a valid json blob of a single action. Use tools if necessary. Respond + directly if appropriate. Format is Action:```$JSON_BLOB```then Observation\n{input}\n\ + \n{agent_scratchpad}\n\n" + +# 后处理模板 +postprocess_model: + default: '{{input}}' diff --git a/chatchat_data/tool_settings.yaml b/chatchat_data/tool_settings.yaml new file mode 100644 index 0000000..60b8fd4 --- /dev/null +++ b/chatchat_data/tool_settings.yaml @@ -0,0 +1,96 @@ +# Agent 工具配置项 + + +# 本地知识库工具配置项 +search_local_knowledgebase: + use: false + top_k: 3 + score_threshold: 2.0 + conclude_prompt: + with_result: "<指令>根据已知信息，简洁和专业的来回答问题。如果无法从中得到答案，请说 \"根据已知信息无法回答该问题\"，不允许在答案中添加编造成分，答案请使用中文。 + \n<已知信息>{{ context }}\n<问题>{{ question }}\n" + without_result: "请你根据我的提问回答我的问题:\n{{ question }}\n请注意，你必须在回答结束后强调，你的回答是根据你的经验回答而不是参考资料回答的。\n" + +# 搜索引擎工具配置项。推荐自己部署 searx 搜索引擎，国内使用最方便。 +search_internet: + use: false + search_engine_name: duckduckgo + search_engine_config: + bing: + bing_search_url: https://api.bing.microsoft.com/v7.0/search + bing_key: '' + metaphor: + metaphor_api_key: '' + split_result: false + chunk_size: 500 + chunk_overlap: 0 + duckduckgo: {} + searx: + host: https://metasearx.com + engines: [] + categories: [] + language: zh-CN + top_k: 5 + verbose: Origin + conclude_prompt: "<指令>这是搜索到的互联网信息，请你根据这些信息进行提取并有调理，简洁的回答问题。如果无法从中得到答案，请说 “无法搜索到能回答问题的内容”。 + \n<已知信息>{{ context }}\n<问题>\n{{ question }}\n\n" +arxiv: + use: false + +# 心知天气（https://www.seniverse.com/）工具配置项 +weather_check: + use: true + api_key: 'SwOnf9XkLSik-uUBt' +search_youtube: + use: false +wolfram: + use: false + appid: '' + +# numexpr 数学计算工具配置项 +calculate: + use: false + +# 图片生成工具配置项。model 必须是在 model_settings.yaml/MODEL_PLATFORMS 中配置过的。 +text2images: + use: false + model: sd-turbo + size: 256*256 + +# text2sql使用建议 +# 1、因大模型生成的sql可能与预期有偏差，请务必在测试环境中进行充分测试、评估； +# 2、生产环境中，对于查询操作，由于不确定查询效率，推荐数据库采用主从数据库架构，让text2sql连接从数据库，防止可能的慢查询影响主业务； +# 3、对于写操作应保持谨慎，如不需要写操作，设置read_only为True,最好再从数据库层面收回数据库用户的写权限，防止用户通过自然语言对数据库进行修改操作； +# 4、text2sql与大模型在意图理解、sql转换等方面的能力有关，可切换不同大模型进行测试； +# 5、数据库表名、字段名应与其实际作用保持一致、容易理解，且应对数据库表名、字段进行详细的备注说明，帮助大模型更好理解数据库结构； +# 6、若现有数据库表名难于让大模型理解，可配置下面table_comments字段，补充说明某些表的作用。 +text2sql: + model_name: qwen-plus + use: false + sqlalchemy_connect_str: mysql+pymysql://用户名:密码@主机地址/数据库名称 + read_only: false + top_k: 50 + return_intermediate_steps: true + table_names: [] + table_comments: {} + +# 高德地图、天气相关工具配置项。 +amap: + use: false + api_key: 高德地图 API KEY + +# text2promql 使用建议 +# 1、因大模型生成的 promql 可能与预期有偏差, 请务必在测试环境中进行充分测试、评估; +# 2、text2promql 与大模型在意图理解、metric 选择、promql 转换等方面的能力有关, 可切换不同大模型进行测试; +# 3、当前仅支持 单prometheus 查询, 后续考虑支持 多prometheus 查询. +text2promql: + use: false + prometheus_endpoint: http://127.0.0.1:9090 + username: '' + password: '' + +# URL内容阅读（https://r.jina.ai/）工具配置项 +# 请确保部署的网络环境良好，以免造成超时等问题 +url_reader: + use: false + timeout: '10000' diff --git a/libs/chatchat-server/chatchat/server/agent/tools_factory/tools_registry.py b/libs/chatchat-server/chatchat/server/agent/tools_factory/tools_registry.py index e327789..cd269c0 100644 --- a/libs/chatchat-server/chatchat/server/agent/tools_factory/tools_registry.py +++ b/libs/chatchat-server/chatchat/server/agent/tools_factory/tools_registry.py @@ -85,6 +85,7 @@ def regist_tool( def _parse_tool(t: BaseTool): nonlocal description, title + print(f"_parse_too:t.name : {t.name}") _TOOLS_REGISTRY[t.name] = t # change default description @@ -165,6 +166,7 @@ def format_context(self: BaseToolOutput) -> str: doc = DocumentWithVSId.parse_obj(doc) source_documents.append(doc.page_content) + print(f"format_context: doc.page_content: {doc.page_content}") if len(source_documents) == 0: context = "没有找到相关文档,请更换关键词重试" else: diff --git a/libs/chatchat-server/chatchat/server/agent/tools_factory/weather_check.py b/libs/chatchat-server/chatchat/server/agent/tools_factory/weather_check.py index 14b06ec..0664378 100644 --- a/libs/chatchat-server/chatchat/server/agent/tools_factory/weather_check.py +++ b/libs/chatchat-server/chatchat/server/agent/tools_factory/weather_check.py @@ -15,6 +15,7 @@ def weather_check( ): """Use this tool to check the weather at a specific city""" + print(f"weather_check,city{city}") tool_config = get_tool_config("weather_check") api_key = tool_config.get("api_key") url = f"https://api.seniverse.com/v3/weather/now.json?key={api_key}&location={city}&language=zh-Hans&unit=c" diff --git a/libs/chatchat-server/chatchat/server/api_server/chat_routes.py b/libs/chatchat-server/chatchat/server/api_server/chat_routes.py index 4eb8fe7..d1529d1 100644 --- a/libs/chatchat-server/chatchat/server/api_server/chat_routes.py +++ b/libs/chatchat-server/chatchat/server/api_server/chat_routes.py @@ -22,6 +22,7 @@ from chatchat.settings import Settings from chatchat.utils import build_logger from .openai_routes import openai_request, OpenAIChatOutput +# FastAPI 路由处理器，处理与对话相关的请求 logger = build_logger() @@ -73,12 +74,16 @@ async def chat_completions( # check tools & tool_choice in request body if isinstance(body.tool_choice, str): + logger.info(f"tool_choice") if t := get_tool(body.tool_choice): + logger.info(f"function name: {t.name}") body.tool_choice = {"function": {"name": t.name}, "type": "function"} if isinstance(body.tools, list): + logger.info(f"tools") for i in range(len(body.tools)): if isinstance(body.tools[i], str): if t := get_tool(body.tools[i]): + logger.info(f"function name: {t.name}") body.tools[i] = { "type": "function", "function": { diff --git a/libs/chatchat-server/chatchat/webui.py b/libs/chatchat-server/chatchat/webui.py index 0d632e8..8283727 100644 --- a/libs/chatchat-server/chatchat/webui.py +++ b/libs/chatchat-server/chatchat/webui.py @@ -46,7 +46,7 @@ if __name__ == "__main__": with st.sidebar: st.image( - get_img_base64("logo-long-chatchat-trans-v2.png"), use_column_width=True + get_img_base64("logo-long-chatchat-trans-v2.png"), use_container_width=True ) st.caption( f"""

当前版本：{__version__}

""",