企业官网建设流程全解析

如何建设网站 知乎,公司简介怎么写吸引人,企业网页制作方案,网站空间 域名ref: ‍⁠​‌#xfeff;​‌​‬‍​​​​#xfeff;‍​​​⁠⁠​⁠​​‬#xfeff;‍‍​#xfeff;#xfeff;​‌​​#xfeff;#xfeff;‬#xfeff;​​《MetaGPT智能体开发入门》教程 - 飞书云文档 【多Agent】MetaGPT学习教程 - 飞书云文档 一…ref: ‍⁠​‌​‌​‬‍​​​​‍​​​⁠⁠​⁠​​‬‍‍​​‌​​‬​​《MetaGPT智能体开发入门》教程 - 飞书云文档【多Agent】MetaGPT学习教程 - 飞书云文档一、配置本地部署的llm和embeddingllm的配置以及embedding配置# Full Example: https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml # Reflected Code: https://github.com/geekan/MetaGPT/blob/main/metagpt/config2.py # Config Docs: https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html llm: api_type: openai base_url : http://0.0.0.0:8000/v1 model: llama # RAG Embedding. # For backward compatibility, if the embedding is not set and the llms api_type is either openai or azure, the llms config will be used. embedding: api_type: openai ollama # openai / azure / gemini / ollama etc. Check EmbeddingType for more options. base_url: http://0.0.0.0:8011/ api_key: model: bge-large-en-v1.5 api_version: v1 embed_batch_size: 100 dimensions: # output dimension of embedding model对于llm 如果max_model_len不能承受更多的话需要修改metagpt\provider\openrouter_reasoning.pydef _get_max_tokens(self, messages: list[dict]): if not self.auto_max_tokens: return 1024 return self.config.max_token # FIXME # https://community.openai.com/t/why-is-gpt-3-5-turbo-1106-max-tokens-limited-to-4096/494973/3 return min(get_max_completion_tokens(messages, self.model, self.config.max_token), 1024) #4096)对于rag案例需要修改metagpt\rag\schema.pyclass FAISSRetrieverConfig(IndexRetrieverConfig): Config for FAISS-based retrievers. dimensions: int Field(default0, descriptionDimensionality of the vectors for FAISS index construction.) _embedding_type_to_dimensions: ClassVar[dict[EmbeddingType, int]] { EmbeddingType.GEMINI: 768, EmbeddingType.OLLAMA: 1024 #4096, }二、用Discord 发送 github trending 跑通做好配置整个过程就是配置export DISCORD_TOKEN export DISCORD_CHANNEL_ID三、用Discord 发送 github trending动态 进阶版读取readme总结对应whole_run2.py四、用Discord发送 huggingface paper动态对应whole_run-huggingface.py五、用邮件发送github trending动态对应whole_run-email.py六、多智能体你画我猜 multi-ones.py