From d79b43f2c37062c33222c3dbdd64219c676f8363 Mon Sep 17 00:00:00 2001 From: Mark Sze Date: Sun, 25 Aug 2024 02:19:22 +0000 Subject: [PATCH 1/6] Updated repo links --- website/docs/Examples.md | 68 ++++++++++---------- website/docs/FAQ.mdx | 2 +- website/docs/Getting-Started.mdx | 6 +- website/docs/Migration-Guide.md | 2 +- website/docs/Use-Cases/agent_chat.md | 6 +- website/docs/Use-Cases/enhanced_inference.md | 4 +- website/docs/tutorial/what-next.md | 2 +- 7 files changed, 45 insertions(+), 45 deletions(-) diff --git a/website/docs/Examples.md b/website/docs/Examples.md index d33156f3f2ce..e0d3b90fb133 100644 --- a/website/docs/Examples.md +++ b/website/docs/Examples.md @@ -18,7 +18,7 @@ Links to notebook examples: - Automated Task Solving by Group Chat (with 3 group member agents and 1 manager agent) - [View Notebook](/docs/notebooks/agentchat_groupchat) - Automated Data Visualization by Group Chat (with 3 group member agents and 1 manager agent) - [View Notebook](/docs/notebooks/agentchat_groupchat_vis) - Automated Complex Task Solving by Group Chat (with 6 group member agents and 1 manager agent) - [View Notebook](/docs/notebooks/agentchat_groupchat_research) -- Automated Task Solving with Coding & Planning Agents - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_planning.ipynb) +- Automated Task Solving with Coding & Planning Agents - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_planning.ipynb) - Automated Task Solving with transition paths specified in a graph - [View Notebook](https://autogen-ai.github.io/autogen/docs/notebooks/agentchat_groupchat_finite_state_machine) - Running a group chat as an inner-monolgue via the SocietyOfMindAgent - [View Notebook](/docs/notebooks/agentchat_society_of_mind) - Running a group chat with custom speaker selection function - [View Notebook](/docs/notebooks/agentchat_groupchat_customized) @@ -38,73 +38,73 @@ Links to notebook examples: ### Applications -- Automated Continual Learning from New Data - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_stream.ipynb) -- [OptiGuide](https://github.com/microsoft/optiguide) - Coding, Tool Using, Safeguarding & Question Answering for Supply Chain Optimization -- [AutoAnny](https://github.com/microsoft/autogen/tree/main/samples/apps/auto-anny) - A Discord bot built using AutoGen +- Automated Continual Learning from New Data - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_stream.ipynb) + +- [AutoAnny](https://github.com/autogen-ai/autogen/tree/main/samples/apps/auto-anny) - A Discord bot built using AutoGen ### Tool Use -- **Web Search**: Solve Tasks Requiring Web Info - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_web_info.ipynb) +- **Web Search**: Solve Tasks Requiring Web Info - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_web_info.ipynb) - Use Provided Tools as Functions - [View Notebook](/docs/notebooks/agentchat_function_call_currency_calculator) - Use Tools via Sync and Async Function Calling - [View Notebook](/docs/notebooks/agentchat_function_call_async) -- Task Solving with Langchain Provided Tools as Functions - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_langchain.ipynb) +- Task Solving with Langchain Provided Tools as Functions - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_langchain.ipynb) - **RAG**: Group Chat with Retrieval Augmented Generation (with 5 group member agents and 1 manager agent) - [View Notebook](/docs/notebooks/agentchat_groupchat_RAG) -- Function Inception: Enable AutoGen agents to update/remove functions during conversations. - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_inception_function.ipynb) +- Function Inception: Enable AutoGen agents to update/remove functions during conversations. - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_inception_function.ipynb) - Agent Chat with Whisper - [View Notebook](/docs/notebooks/agentchat_video_transcript_translate_with_whisper) -- Constrained Responses via Guidance - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_guidance.ipynb) -- Browse the Web with Agents - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_surfer.ipynb) -- **SQL**: Natural Language Text to SQL Query using the [Spider](https://yale-lily.github.io/spider) Text-to-SQL Benchmark - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_sql_spider.ipynb) +- Constrained Responses via Guidance - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_guidance.ipynb) +- Browse the Web with Agents - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_surfer.ipynb) +- **SQL**: Natural Language Text to SQL Query using the [Spider](https://yale-lily.github.io/spider) Text-to-SQL Benchmark - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_sql_spider.ipynb) - **Web Scraping**: Web Scraping with Apify - [View Notebook](/docs/notebooks/agentchat_webscraping_with_apify) -- **Write a software app, task by task, with specially designed functions.** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_function_call_code_writing.ipynb). +- **Write a software app, task by task, with specially designed functions.** - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_function_call_code_writing.ipynb). ### Human Involvement -- Simple example in ChatGPT style [View example](https://github.com/microsoft/autogen/blob/main/samples/simple_chat.py) -- Auto Code Generation, Execution, Debugging and **Human Feedback** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_human_feedback.ipynb) -- Automated Task Solving with GPT-4 + **Multiple Human Users** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_two_users.ipynb) -- Agent Chat with **Async Human Inputs** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/Async_human_input.ipynb) +- Simple example in ChatGPT style [View example](https://github.com/autogen-ai/autogen/blob/main/samples/simple_chat.py) +- Auto Code Generation, Execution, Debugging and **Human Feedback** - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_human_feedback.ipynb) +- Automated Task Solving with GPT-4 + **Multiple Human Users** - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_two_users.ipynb) +- Agent Chat with **Async Human Inputs** - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/Async_human_input.ipynb) ### Agent Teaching and Learning - Teach Agents New Skills & Reuse via Automated Chat - [View Notebook](/docs/notebooks/agentchat_teaching) - Teach Agents New Facts, User Preferences and Skills Beyond Coding - [View Notebook](/docs/notebooks/agentchat_teachability) -- Teach OpenAI Assistants Through GPTAssistantAgent - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_teachable_oai_assistants.ipynb) -- Agent Optimizer: Train Agents in an Agentic Way - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_agentoptimizer.ipynb) +- Teach OpenAI Assistants Through GPTAssistantAgent - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_teachable_oai_assistants.ipynb) +- Agent Optimizer: Train Agents in an Agentic Way - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_agentoptimizer.ipynb) ### Multi-Agent Chat with OpenAI Assistants in the loop -- Hello-World Chat with OpenAi Assistant in AutoGen - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_oai_assistant_twoagents_basic.ipynb) -- Chat with OpenAI Assistant using Function Call - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_oai_assistant_function_call.ipynb) -- Chat with OpenAI Assistant with Code Interpreter - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_oai_code_interpreter.ipynb) -- Chat with OpenAI Assistant with Retrieval Augmentation - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_oai_assistant_retrieval.ipynb) -- OpenAI Assistant in a Group Chat - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_oai_assistant_groupchat.ipynb) -- GPTAssistantAgent based Multi-Agent Tool Use - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/gpt_assistant_agent_function_call.ipynb) +- Hello-World Chat with OpenAi Assistant in AutoGen - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_oai_assistant_twoagents_basic.ipynb) +- Chat with OpenAI Assistant using Function Call - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_oai_assistant_function_call.ipynb) +- Chat with OpenAI Assistant with Code Interpreter - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_oai_code_interpreter.ipynb) +- Chat with OpenAI Assistant with Retrieval Augmentation - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_oai_assistant_retrieval.ipynb) +- OpenAI Assistant in a Group Chat - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_oai_assistant_groupchat.ipynb) +- GPTAssistantAgent based Multi-Agent Tool Use - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/gpt_assistant_agent_function_call.ipynb) ### Non-OpenAI Models - Conversational Chess using non-OpenAI Models - [View Notebook](/docs/notebooks/agentchat_nested_chats_chess_altmodels) ### Multimodal Agent -- Multimodal Agent Chat with DALLE and GPT-4V - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_dalle_and_gpt4v.ipynb) -- Multimodal Agent Chat with Llava - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_lmm_llava.ipynb) -- Multimodal Agent Chat with GPT-4V - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_lmm_gpt-4v.ipynb) +- Multimodal Agent Chat with DALLE and GPT-4V - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_dalle_and_gpt4v.ipynb) +- Multimodal Agent Chat with Llava - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_lmm_llava.ipynb) +- Multimodal Agent Chat with GPT-4V - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_lmm_gpt-4v.ipynb) ### Long Context Handling - + - Long Context Handling as A Capability - [View Notebook](/docs/notebooks/agentchat_transform_messages) ### Evaluation and Assessment -- AgentEval: A Multi-Agent System for Assess Utility of LLM-powered Applications - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agenteval_cq_math.ipynb) +- AgentEval: A Multi-Agent System for Assess Utility of LLM-powered Applications - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agenteval_cq_math.ipynb) ### Automatic Agent Building -- Automatically Build Multi-agent System with AgentBuilder - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/autobuild_basic.ipynb) -- Automatically Build Multi-agent System from Agent Library - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/autobuild_agent_library.ipynb) +- Automatically Build Multi-agent System with AgentBuilder - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/autobuild_basic.ipynb) +- Automatically Build Multi-agent System from Agent Library - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/autobuild_agent_library.ipynb) ### Observability -- Track LLM calls, tool usage, actions and errors using AgentOps - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_agentops.ipynb) +- Track LLM calls, tool usage, actions and errors using AgentOps - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_agentops.ipynb) ## Enhanced Inferences @@ -112,7 +112,7 @@ Links to notebook examples: - API Unification - [View Documentation with Code Example](https://autogen-ai.github.io/autogen/docs/Use-Cases/enhanced_inference/#api-unification) - Utility Functions to Help Managing API configurations effectively - [View Notebook](/docs/topics/llm_configuration) -- Cost Calculation - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_cost_token_tracking.ipynb) +- Cost Calculation - [View Notebook](https://github.com/autogen-ai/autogen/blob/main/notebook/agentchat_cost_token_tracking.ipynb) ### Inference Hyperparameters Tuning @@ -120,5 +120,5 @@ AutoGen offers a cost-effective hyperparameter optimization technique [EcoOptiGe Please find documentation about this feature [here](/docs/Use-Cases/enhanced_inference). Links to notebook examples: -* [Optimize for Code Generation](https://github.com/microsoft/autogen/blob/main/notebook/oai_completion.ipynb) | [Open in colab](https://colab.research.google.com/github/microsoft/autogen/blob/main/notebook/oai_completion.ipynb) -* [Optimize for Math](https://github.com/microsoft/autogen/blob/main/notebook/oai_chatgpt_gpt4.ipynb) | [Open in colab](https://colab.research.google.com/github/microsoft/autogen/blob/main/notebook/oai_chatgpt_gpt4.ipynb) +* [Optimize for Code Generation](https://github.com/autogen-ai/autogen/blob/main/notebook/oai_completion.ipynb) | [Open in colab](https://colab.research.google.com/github/autogen-ai/autogen/blob/main/notebook/oai_completion.ipynb) +* [Optimize for Math](https://github.com/autogen-ai/autogen/blob/main/notebook/oai_chatgpt_gpt4.ipynb) | [Open in colab](https://colab.research.google.com/github/autogen-ai/autogen/blob/main/notebook/oai_chatgpt_gpt4.ipynb) diff --git a/website/docs/FAQ.mdx b/website/docs/FAQ.mdx index ebe44a4381cb..95a96671b0d7 100644 --- a/website/docs/FAQ.mdx +++ b/website/docs/FAQ.mdx @@ -106,7 +106,7 @@ for each code-execution agent, or set `AUTOGEN_USE_DOCKER` to `False` as an environment variable. You can also develop your AutoGen application in a docker container. -For example, when developing in [GitHub codespace](https://codespaces.new/microsoft/autogen?quickstart=1), +For example, when developing in [GitHub codespace](https://codespaces.new/autogen-ai/autogen?quickstart=1), AutoGen runs in a docker container. If you are not developing in GitHub Codespaces, follow instructions [here](installation/Docker.md#option-1-install-and-run-autogen-in-docker) diff --git a/website/docs/Getting-Started.mdx b/website/docs/Getting-Started.mdx index 3e162a098327..30810e68d55d 100644 --- a/website/docs/Getting-Started.mdx +++ b/website/docs/Getting-Started.mdx @@ -118,7 +118,7 @@ Learn more about configuring LLMs for agents [here](/docs/topics/llm_configurati #### Multi-Agent Conversation Framework Autogen enables the next-gen LLM applications with a generic multi-agent conversation framework. It offers customizable and conversable agents which integrate LLMs, tools, and humans. -By automating chat among multiple capable agents, one can easily make them collectively perform tasks autonomously or with human feedback, including tasks that require using tools via code. For [example](https://github.com/microsoft/autogen/blob/main/test/twoagent.py), +By automating chat among multiple capable agents, one can easily make them collectively perform tasks autonomously or with human feedback, including tasks that require using tools via code. For [example](https://github.com/autogen-ai/autogen/blob/main/test/twoagent.py), The figure below shows an example conversation flow with AutoGen. @@ -135,10 +135,10 @@ The figure below shows an example conversation flow with AutoGen. - Follow on [Twitter](https://twitter.com/pyautogen) - See our [roadmaps](https://aka.ms/autogen-roadmap) -If you like our project, please give it a [star](https://github.com/microsoft/autogen/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/contributor-guide/contributing). +If you like our project, please give it a [star](https://github.com/autogen-ai/autogen/stargazers) on GitHub. If you are interested in contributing, please read [Contributor's Guide](/docs/contributor-guide/contributing).