kyfx
/
vscode-ai-toolkit
mirror of https://github.com/microsoft/vscode-ai-toolkit.git
3
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Update readme with discord link

This commit is contained in:
Junjie Li 2025-06-13 14:44:28 +08:00
parent a4b50ef265
commit 756c9700c7
1 changed files with 13 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
README.md
View File

@ -32,19 +32,22 @@ We recommend starting with models hosted by GitHub.
## Build AI agents ## Build AI agents
The key feature of AI Toolkit is to build AI agents. The agent builder provides a set of tools to help you create and optimize your AI agents. You can use the agent builder to: The key feature of AI Toolkit is to build AI agents. The agent builder provides a set of tools to help you create and optimize your AI agents. You can use the agent builder to:
- 🚀 Generate starter prompts with natural language - ✨ Generate starter prompts with natural language
- 🔁 Iterate and refine prompts based on model responses - 🔁 Iterate and refine prompts based on model responses
- 🧩 Break down tasks with prompt chaining and structured outputs - 🧩 Break down tasks with prompt chaining and structured outputs
- 🧪 Test integrations with real-time runs and tool use such as MCP servers - ⚡ Test integrations with real-time runs and tool use such as MCP servers
- 💻 Generate production-ready code for rapid app development - 💡 Generate production-ready code for rapid app development
- 📝 Use variables in prompts - 🧷 Use variables in prompts
- 🧪 Run agent with test cases to test your agent easily - 🧪 Run agents with test cases to validate your agent easily
- 📊 Evaluate the accuracy and performance of your agent with built-in or your custom metrics - 📊 Evaluate the accuracy and performance of your agent with built-in or custom metrics
- 🔗 Function calling support: Enable agents to invoke external functions dynamically
- 🗂️ Agent versioning and version comparison for evaluation results
And a lot of features are coming soon, stay tuned for: And a lot of features are coming soon, stay tuned for:
- 🌐 Function calling support: Enable agents to invoke external functions dynamically.
- 📌 Agent versioning and version comparison for evaluation results - 🐞 Local tracing and debugging of agents
- ☁️ Deploy your agent to cloud - 🚀 Deploy your models and agents to Azure AI Foundry
- ☁️ Deploy your agent to the cloud
Agents can now connect to external tools through MCP (Model Control Protocol) servers, enabling them to perform real-world actions like querying a database, accessing APIs, or executing custom logic. Agents can now connect to external tools through MCP (Model Control Protocol) servers, enabling them to perform real-world actions like querying a database, accessing APIs, or executing custom logic.
@ -55,7 +58,7 @@ Agents can now connect to external tools through MCP (Model Control Protocol) se
## Feedback and resources ## Feedback and resources
Your feedback is crucial to shape the feature roadmap. Read our [developer documentations](https://aka.ms/AIToolkit/doc) for more features or [reach us in GitHub](https://aka.ms/AIToolkit/feedback) to report an issue. We value your feedback to help shape our roadmap. Explore our [developer documentation](https://aka.ms/AIToolkit/doc) for more features, [open issues or share suggestions on GitHub](https://aka.ms/AIToolkit/feedback), or join our [Discord community](https://aka.ms/azureaifoundry/discord) to connect with other developers.
AI Toolkit ❤️ Developer Community. AI Toolkit ❤️ Developer Community.