Create a Tauri desktop app with Lynx UI for OpenAI Agent SDK #179
+445
−0
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Add a new Tauri desktop app with Lynx UI for creating and handling AI agents in the OpenAI Agent SDK. * **README.md**: Add instructions to set up and run the Tauri desktop app, mentioning the new `tauri-app` directory and its purpose. * **Tauri Backend**: - `tauri-app/src-tauri/src/main.rs`: Import the Lynx library, initialize and run the Lynx UI components when the Tauri application starts. - `tauri-app/src-tauri/src/lynx_integration.rs`: Create a new Rust file to handle the Lynx integration, implementing the code to create and manage the Lynx UI components. * **Tauri Frontend**: - `tauri-app/src/frontend/index.html`: Add the HTML structure for the Tauri frontend, including sections for creating and managing agents. - `tauri-app/src/frontend/main.js`: Implement the JavaScript code to communicate with the Lynx UI components using Tauri's IPC. - `tauri-app/src/frontend/agent_hooks.js`: Implement custom hooks for agent lifecycle events by subclassing the `AgentHooks` class and integrating them into the Tauri application. - `tauri-app/src/frontend/agent_management.js`: Implement features for creating, configuring, and managing agents, including instructions, models, tools, context, output types, handoffs, guardrails, and cloning. Implement features for managing context, tracing, function tools, models, and debug logging as per the OpenAI Agent SDK.
* **Dashboard**: Display all created agents with their statuses, configurations, and recent activities. Implement search and filter functionalities. Provide options to edit, clone, or delete agents. * **Notifications**: Integrate real-time notifications for agent lifecycle events. * **Chat Interface**: Add a chat interface for users to interact with agents. * **Visual Representation**: Implement a visual representation of agent handoffs and tool usage. * **Configuration**: Allow users to configure agent guardrails, handoffs, and tools. Provide templates for common agent configurations. Add a validation feature for agent configurations.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Add a new Tauri desktop app with Lynx UI for creating and handling AI agents in the OpenAI Agent SDK.
tauri-appdirectory and its purpose.tauri-app/src-tauri/src/main.rs: Import the Lynx library, initialize and run the Lynx UI components when the Tauri application starts.tauri-app/src-tauri/src/lynx_integration.rs: Create a new Rust file to handle the Lynx integration, implementing the code to create and manage the Lynx UI components.tauri-app/src/frontend/index.html: Add the HTML structure for the Tauri frontend, including sections for creating and managing agents.tauri-app/src/frontend/main.js: Implement the JavaScript code to communicate with the Lynx UI components using Tauri's IPC.tauri-app/src/frontend/agent_hooks.js: Implement custom hooks for agent lifecycle events by subclassing theAgentHooksclass and integrating them into the Tauri application.tauri-app/src/frontend/agent_management.js: Implement features for creating, configuring, and managing agents, including instructions, models, tools, context, output types, handoffs, guardrails, and cloning. Implement features for managing context, tracing, function tools, models, and debug logging as per the OpenAI Agent SDK.