Merge remote-tracking branch 'origin/main' into telemetryphase1

Signed-off-by: Mark Sze <[email protected]>

.devcontainer/README.md

@@ -26,7 +26,7 @@ These configurations can be used with Codespaces and locally.
 - **Usage**: Recommended for developers who are contributing to the AutoGen project.
 - **Building the Image**: Run `docker build -f dev/Dockerfile -t ag2_dev_img .`.
 - **Using with Codespaces**: `Code > Codespaces > Click on ...> New with options > Choose "dev" as devcontainer configuration`. This image may require a Codespace with at least 64GB of disk space.
-- **Before using**: We highly encourage all potential contributors to read the [AutoGen Contributing](https://ag2ai.github.io/ag2/docs/Contribute) page prior to submitting any pull requests.
+- **Before using**: We highly encourage all potential contributors to read the [AutoGen Contributing](https://docs.ag2.ai/docs/contributor-guide/contributing) page prior to submitting any pull requests.
 
 
 ## Customizing Dockerfiles

.devcontainer/dev/Dockerfile

@@ -30,11 +30,10 @@ RUN sudo pip install --upgrade pip && \
 # Install pre-commit hooks
 RUN pre-commit install
 
-# Setup Docusaurus and Yarn for the documentation website
-RUN sudo npm install --global yarn
-RUN sudo pip install pydoc-markdown
+# Setup Mintlify for the documentation website
+RUN sudo pip install pydoc-markdown pyyaml termcolor nbclient
 RUN cd website
-RUN yarn install --frozen-lockfile --ignore-engines
+RUN npm install
 
 RUN arch=$(arch | sed s/aarch64/arm64/ | sed s/x86_64/amd64/) && \
     wget -q https://github.com/quarto-dev/quarto-cli/releases/download/v1.5.23/quarto-1.5.23-linux-${arch}.tar.gz && \

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,4 +1,4 @@
-<!-- Thank you for your contribution! Please review https://ag2ai.github.io/ag2/docs/Contribute before opening a pull request. -->
+<!-- Thank you for your contribution! Please review https://docs.ag2.ai/docs/contributor-guide/contributing before opening a pull request. -->
 
 <!-- Please add a reviewer to the assignee section when you create a PR. If you don't have the access to it, we will shortly find a reviewer and assign them to your PR. -->
 
@@ -12,6 +12,6 @@
 
 ## Checks
 
-- [ ] I've included any doc changes needed for https://ag2ai.github.io/ag2/. See https://ag2ai.github.io/ag2/docs/Contribute#documentation to build and test documentation locally.
+- [ ] I've included any doc changes needed for https://docs.ag2.ai/. See https://docs.ag2.ai/docs/contributor-guide/documentation to build and test documentation locally.
 - [ ] I've added tests (if relevant) corresponding to the changes introduced in this PR.
 - [ ] I've made sure all auto checks have passed.

.github/workflows/deploy-website-mintlify.yml

@@ -40,7 +40,7 @@ jobs:
       - name: Install Python dependencies
         run: |
           python -m pip install --upgrade pip
-          pip install pydoc-markdown pyyaml termcolor nbconvert
+          pip install pydoc-markdown pyyaml termcolor nbclient
           # Pin databind packages as version 4.5.0 is not compatible with pydoc-markdown.
           pip install databind.core==4.4.2 databind.json==4.4.2
 
@@ -86,7 +86,7 @@ jobs:
       - name: Install Python dependencies
         run: |
           python -m pip install --upgrade pip
-          pip install pydoc-markdown pyyaml termcolor nbconvert
+          pip install pydoc-markdown pyyaml termcolor nbclient
           # Pin databind packages as version 4.5.0 is not compatible with pydoc-markdown.
           pip install databind.core==4.4.2 databind.json==4.4.2
 

MAINTAINERS.md

@@ -32,7 +32,7 @@
 | Rajan Chari *    | [rajan-chari](https://github.com/rajan-chari)                | Microsoft Research                | CAP                        |
 
 ## I would like to join this list. How can I help the project?
-> We're always looking for new contributors to join our team and help improve the project. For more information, please refer to our [CONTRIBUTING](https://ag2ai.github.io/ag2/docs/contributor-guide/contributing) guide.
+> We're always looking for new contributors to join our team and help improve the project. For more information, please refer to our [CONTRIBUTING](https://docs.ag2.ai/docs/contributor-guide/contributing) guide.
 
 
 ## Are you missing from this list?

README.md

@@ -43,7 +43,7 @@ We adopt the Apache 2.0 license from v0.3. This enhances our commitment to open-
 
 :tada: May 11, 2024: [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://openreview.net/pdf?id=uAjxFFing2) received the best paper award at the [ICLR 2024 LLM Agents Workshop](https://llmagents.github.io/).
 
-<!-- :tada: Apr 26, 2024: [AutoGen.NET](https://ag2ai.github.io/ag2-for-net/) is available for .NET developers! -->
+<!-- :tada: Apr 26, 2024: [AutoGen.NET](https://docs.ag2.ai/ag2-for-net/) is available for .NET developers! -->
 
 :tada: Apr 17, 2024: Andrew Ng cited AutoGen in [The Batch newsletter](https://www.deeplearning.ai/the-batch/issue-245/) and [What's next for AI agentic workflows](https://youtu.be/sal78ACtGTc?si=JduUzN_1kDnMq0vF) at Sequoia Capital's AI Ascent (Mar 26).
 
@@ -55,7 +55,7 @@ We adopt the Apache 2.0 license from v0.3. This enhances our commitment to open-
 
 :tada: Dec 31, 2023: [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework](https://arxiv.org/abs/2308.08155) is selected by [TheSequence: My Five Favorite AI Papers of 2023](https://thesequence.substack.com/p/my-five-favorite-ai-papers-of-2023).
 
-<!-- :fire: Nov 24: pyautogen [v0.2](https://github.com/ag2ai/ag2/releases/tag/v0.2.0) is released with many updates and new features compared to v0.1.1. It switches to using openai-python v1. Please read the [migration guide](https://ag2ai.github.io/ag2/docs/Installation#python). -->
+<!-- :fire: Nov 24: pyautogen [v0.2](https://github.com/ag2ai/ag2/releases/tag/v0.2.0) is released with many updates and new features compared to v0.1.1. It switches to using openai-python v1. Please read the [migration guide](https://docs.ag2.ai/docs/installation/Installation). -->
 
 <!-- :fire: Nov 11: OpenAI's Assistants are available in AutoGen and interoperatable with other AutoGen agents! Checkout our [blogpost](https://docs.ag2.ai/blog/2023-11-13-OAI-assistants) for details and examples. -->
 
@@ -74,7 +74,7 @@ We adopt the Apache 2.0 license from v0.3. This enhances our commitment to open-
 <!--
 :fire: FLAML is highlighted in OpenAI's [cookbook](https://github.com/openai/openai-cookbook#related-resources-from-around-the-web).
 
-:fire: [autogen](https://ag2ai.github.io/ag2/) is released with support for ChatGPT and GPT-4, based on [Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference](https://arxiv.org/abs/2303.04673).
+:fire: [autogen](https://docs.ag2.ai/) is released with support for ChatGPT and GPT-4, based on [Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference](https://arxiv.org/abs/2303.04673).
 
 :fire: FLAML supports Code-First AutoML & Tuning – Private Preview in [Microsoft Fabric Data Science](https://learn.microsoft.com/en-us/fabric/data-science/). -->
 
@@ -117,11 +117,11 @@ The easiest way to start playing is
   </a>
 </p>
 
-## [Installation](https://ag2ai.github.io/ag2/docs/Installation)
+## [Installation](https://docs.ag2.ai/docs/installation/Installation)
 
 ### Option 1. Install and Run AG2 in Docker
 
-Find detailed instructions for users [here](https://ag2ai.github.io/ag2/docs/installation/Docker#step-1-install-docker), and for developers [here](https://ag2ai.github.io/ag2/docs/Contribute#docker-for-development).
+Find detailed instructions for users [here](https://docs.ag2.ai/docs/installation/Docker#step-1-install-docker), and for developers [here](https://docs.ag2.ai/docs/contributor-guide/docker).
 
 ### Option 2. Install AG2 Locally
 
@@ -138,13 +138,13 @@ Minimal dependencies are installed without extra options. You can install extra
 pip install "autogen[blendsearch]"
 ``` -->
 
-Find more options in [Installation](https://ag2ai.github.io/ag2/docs/Installation#option-2-install-autogen-locally-using-virtual-environment).
+Find more options in [Installation](https://docs.ag2.ai/docs/Installation#option-2-install-autogen-locally-using-virtual-environment).
 
 <!-- Each of the [`notebook examples`](https://github.com/ag2ai/ag2/tree/main/notebook) may require a specific option to be installed. -->
 
-Even if you are installing and running AG2 locally outside of docker, the recommendation and default behavior of agents is to perform [code execution](https://ag2ai.github.io/ag2/docs/FAQ/#code-execution) in docker. Find more instructions and how to change the default behaviour [here](https://ag2ai.github.io/ag2/docs/Installation#code-execution-with-docker-(default)).
+Even if you are installing and running AG2 locally outside of docker, the recommendation and default behavior of agents is to perform [code execution](https://docs.ag2.ai/docs/FAQ#if-you-want-to-run-code-execution-in-docker) in docker. Find more instructions and how to change the default behaviour [here](https://docs.ag2.ai/docs/FAQ#if-you-want-to-run-code-execution-locally).
 
-For LLM inference configurations, check the [FAQs](https://ag2ai.github.io/ag2/docs/FAQ#set-your-api-endpoints).
+For LLM inference configurations, check the [FAQs](https://docs.ag2.ai/docs/FAQ#set-your-api-endpoints).
 
 <p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
   <a href="#readme-top" style="text-decoration: none; color: blue; font-weight: bold;">
@@ -154,7 +154,7 @@ For LLM inference configurations, check the [FAQs](https://ag2ai.github.io/ag2/d
 
 ## Multi-Agent Conversation Framework
 
-AG2 enables the next-gen LLM applications with a generic [multi-agent conversation](https://ag2ai.github.io/ag2/docs/Use-Cases/agent_chat) framework. It offers customizable and conversable agents that integrate LLMs, tools, and humans.
+AG2 enables the next-gen LLM applications with a generic [multi-agent conversation](https://docs.ag2.ai/docs/Use-Cases/agent_chat) framework. It offers customizable and conversable agents that 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.
 
 Features of this use case include:
@@ -168,7 +168,7 @@ For [example](https://github.com/ag2ai/ag2/blob/main/test/twoagent.py),
 ```python
 from autogen import AssistantAgent, UserProxyAgent, config_list_from_json
 # Load LLM inference endpoints from an env variable or a file
-# See https://ag2ai.github.io/ag2/docs/FAQ#set-your-api-endpoints
+# See https://docs.ag2.ai/docs/FAQ#set-your-api-endpoints
 # and OAI_CONFIG_LIST_sample
 config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST")
 # You can also set config_list directly as a list, for example, config_list = [{'model': 'gpt-4o', 'api_key': '<your OpenAI API key here>'},]
@@ -191,7 +191,7 @@ The figure below shows an example conversation flow with AG2.
 
 
 Alternatively, the [sample code](https://github.com/ag2ai/build-with-ag2/blob/main/samples/simple_chat.py) here allows a user to chat with an AG2 agent in ChatGPT style.
-Please find more [code examples](https://ag2ai.github.io/ag2/docs/Examples#automated-multi-agent-chat) for this feature.
+Please find more [code examples](https://docs.ag2.ai/docs/Examples#automated-multi-agent-chat) for this feature.
 
 <p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
   <a href="#readme-top" style="text-decoration: none; color: blue; font-weight: bold;">
@@ -201,7 +201,7 @@ Please find more [code examples](https://ag2ai.github.io/ag2/docs/Examples#autom
 
 ## Enhanced LLM Inferences
 
-AG2 also helps maximize the utility out of the expensive LLMs such as gpt-4o. It offers [enhanced LLM inference](https://ag2ai.github.io/ag2/docs/Use-Cases/enhanced_inference#api-unification) with powerful functionalities like caching, error handling, multi-config inference and templating.
+AG2 also helps maximize the utility out of the expensive LLMs such as gpt-4o. It offers [enhanced LLM inference](https://docs.ag2.ai/docs/Use-Cases/enhanced_inference#api-unification) with powerful functionalities like caching, error handling, multi-config inference and templating.
 
 <!-- For example, you can optimize generations by LLM with your own tuning data, success metrics, and budgets.
 
@@ -220,7 +220,7 @@ config, analysis = autogen.Completion.tune(
 response = autogen.Completion.create(context=test_instance, **config)
 ```
 
-Please find more [code examples](https://ag2ai.github.io/ag2/docs/Examples#tune-gpt-models) for this feature. -->
+Please find more [code examples](https://docs.ag2.ai/docs/Examples#tune-gpt-models) for this feature. -->
 
 <p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
   <a href="#readme-top" style="text-decoration: none; color: blue; font-weight: bold;">
@@ -230,15 +230,15 @@ Please find more [code examples](https://ag2ai.github.io/ag2/docs/Examples#tune-
 
 ## Documentation
 
-You can find detailed documentation about AG2 [here](https://ag2ai.github.io/ag2/).
+You can find detailed documentation about AG2 [here](https://docs.ag2.ai/).
 
 In addition, you can find:
 
-- [Research](https://ag2ai.github.io/ag2/docs/Research), [blogposts](https://docs.ag2.ai/blog) around AG2, and [Transparency FAQs](https://github.com/ag2ai/ag2/blob/main/TRANSPARENCY_FAQS.md)
+- [Research](https://docs.ag2.ai/docs/Research), [blogposts](https://docs.ag2.ai/blog) around AG2, and [Transparency FAQs](https://github.com/ag2ai/ag2/blob/main/TRANSPARENCY_FAQS.md)
 
 - [Discord](https://discord.gg/pAbnFJrkgZ)
 
-- [Contributing guide](https://ag2ai.github.io/ag2/docs/Contribute)
+- [Contributing guide](https://docs.ag2.ai/docs/contributor-guide/contributing)
 
 <p align="right" style="font-size: 14px; color: #555; margin-top: 20px;">
   <a href="#readme-top" style="text-decoration: none; color: blue; font-weight: bold;">

autogen/agentchat/contrib/captainagent.py

@@ -163,7 +163,7 @@ def __init__(
             agent_lib (str): the path or a JSON file of the agent library for retrieving the nested chat instantiated by CaptainAgent.
             tool_lib (str): the path to the tool library for retrieving the tools used in the nested chat instantiated by CaptainAgent.
             nested_config (dict): the configuration for the nested chat instantiated by CaptainAgent.
-                A full list of keys and their functionalities can be found in [docs](https://ag2ai.github.io/ag2/docs/topics/captainagent/configurations).
+                A full list of keys and their functionalities can be found in [docs](https://docs.ag2.ai/docs/topics/captainagent/configurations).
             agent_config_save_path (str): the path to save the generated or retrieved agent configuration.
             **kwargs (dict): Please refer to other kwargs in
                 [ConversableAgent](https://github.com/ag2ai/ag2/blob/main/autogen/agentchat/conversable_agent.py#L74).

autogen/agentchat/contrib/swarm_agent.py

@@ -60,7 +60,7 @@ class ON_CONDITION:
     Args:
         target: The agent to hand off to or the nested chat configuration. Can be a SwarmAgent or a Dict.
             If a Dict, it should follow the convention of the nested chat configuration, with the exception of a carryover configuration which is unique to Swarms.
-            Swarm Nested chat documentation: https://ag2ai.github.io/ag2/docs/topics/swarm#registering-handoffs-to-a-nested-chat
+            Swarm Nested chat documentation: https://docs.ag2.ai/docs/topics/swarm#registering-handoffs-to-a-nested-chat
         condition: The condition for transitioning to the target agent, evaluated by the LLM to determine whether to call the underlying function/tool which does the transition.
         available: Optional condition to determine if this ON_CONDITION is available. Can be a Callable or a string.
             If a string, it will look up the value of the context variable with that name, which should be a bool.