diff --git a/.github/workflows/check-broken-links-in-docs.yaml b/.github/workflows/check-broken-links-in-docs.yaml index fad75fd47..27e2a2d09 100644 --- a/.github/workflows/check-broken-links-in-docs.yaml +++ b/.github/workflows/check-broken-links-in-docs.yaml @@ -15,5 +15,5 @@ jobs: uses: ruzickap/action-my-broken-link-checker@v2 with: url: https://fastagency.ai - cmd_params: '--buffer-size=8192 --max-connections=1 --color=always --header="User-Agent:Mozilla/5.0(Firefox/97.0)" --exclude="(localhost:8000|linkedin.com|fonts.gstatic.com|reddit.com)" --max-connections-per-host=1 --rate-limit=1 --max-response-body-size=20000000' + cmd_params: '--buffer-size=8192 --max-connections=1 --color=always --header="User-Agent:Mozilla/5.0(Firefox/97.0)" --exclude="(localhost:8000|linkedin.com|fonts.gstatic.com|reddit.com|code.visualstudio.com)" --max-connections-per-host=1 --rate-limit=1 --max-response-body-size=20000000' debug: true diff --git a/docs/docs/en/user-guide/runtimes/autogen/interactions.md b/docs/docs/en/user-guide/runtimes/autogen/interactions.md index db6475bbe..4da29d4f6 100644 --- a/docs/docs/en/user-guide/runtimes/autogen/interactions.md +++ b/docs/docs/en/user-guide/runtimes/autogen/interactions.md @@ -1,6 +1,6 @@ # Custom User Interactions -In this example, we'll demonstrate how to create custom interaction with the user using [`UI`](../../../../api/fastagency/UI/) protocol and its [`process_message`](../../../../api/fastagency/UI/#fastagency.UI.create_subconversation) method. +In this example, we'll demonstrate how to create custom interaction with the user using [`UI`](../../../../api/fastagency/UI/) protocol and its [`process_message`](../../../../api/fastagency/UI/#fastagency.UI.process_message) method. ## Install diff --git a/docs/docs/en/user-guide/ui/console/basics.md b/docs/docs/en/user-guide/ui/console/basics.md index db48f1219..5bf0c1062 100644 --- a/docs/docs/en/user-guide/ui/console/basics.md +++ b/docs/docs/en/user-guide/ui/console/basics.md @@ -20,7 +20,7 @@ We begin by importing the necessary modules from **FastAgency** and **AutoGen**. - **ConversableAgent**: This class allows the creation of agents that can engage in conversational tasks. - **[FastAgency](../../../../api/fastagency/FastAgency/)**: The core class responsible for orchestrating workflows and connecting them with UIs. - **[UI](../../../../api/fastagency/UI/)** and **[ConsoleUI](../../../../api/fastagency/ui/console/ConsoleUI/)**: These classes define the user interface for interaction, with ConsoleUI providing a text-based interface. -- **[AutoGenWorkflows](../../../../api/fastagency/runtimes/autogen/base/AutoGenWorkflows/)**: Manages the creation and execution of multi-agent workflows. +- **[AutoGenWorkflows](../../../../api/fastagency/runtimes/autogen/AutoGenWorkflows/)**: Manages the creation and execution of multi-agent workflows. #### 2. **Configure the Language Model (LLM)** Next, we configure the language model that will power the agents. In this case, we're using **GPT-4o**, and the API key is retrieved from the environment. diff --git a/docs/docs/en/user-guide/ui/mesop/basics.md b/docs/docs/en/user-guide/ui/mesop/basics.md index 9e4fcb97b..83d63ba93 100644 --- a/docs/docs/en/user-guide/ui/mesop/basics.md +++ b/docs/docs/en/user-guide/ui/mesop/basics.md @@ -80,7 +80,7 @@ We begin by importing the necessary modules from **FastAgency** and **AutoGen**. - **ConversableAgent**: This class allows the creation of agents that can engage in conversational tasks. - **[FastAgency](../../../../api/fastagency/FastAgency/)**: The core class responsible for orchestrating workflows and connecting them with UIs. - **[UI](../../../../api/fastagency/UI/)** and **[MesopUI](../../../../api/fastagency/ui/mesop/MesopUI/)**: These classes define the user interface for interaction, with **MesopUI** enabling a web-based interaction. -- **[AutoGenWorkflows](../../../../api/fastagency/runtimes/autogen/base/AutoGenWorkflows/)**: Manages the creation and execution of multi-agent workflows. +- **[AutoGenWorkflows](../../../../api/fastagency/runtimes/autogen/AutoGenWorkflows/)**: Manages the creation and execution of multi-agent workflows. #### 2. **Configure the Language Model (LLM)** Next, we configure the language model that powers the agents. In this case, we're using **GPT-4o**, and the API key is retrieved from the environment.