- Added a new API keys service with endpoints for creating, listing, revoking, and deleting API keys.
- Integrated API key validation and caching for performance.
- Updated backend configuration to include API key secret and throttling settings.
- Created frontend components for managing API keys, including a user interface for creating and displaying keys.
- Introduced a new database migration for the API keys table with necessary constraints and security policies.
- Enhanced authentication methods to support API key usage alongside JWT.
- Introduced a new local key-value store configuration file to manage agent and thread IDs.
- Updated the weather retrieval tool to return a different weather condition.
- Integrated a real-time stream processor for improved message handling and status updates in the main function.
- Updated the `create_thread` endpoint to set a default name if none is provided.
- Modified the `Agent` class to use a dictionary for `agentpress_tools` instead of a custom type.
- Improved the `LocalKVStore` initialization to use a hidden filename.
- Added a new weather retrieval tool to the MCP.
- Updated agent and thread setup in the main function for better clarity and functionality.
- Refactored message handling in the `ThreadsClient` to use query parameters for message posting.
- Introduced the `Kortix` class to manage agents and threads with API integration.
- Enhanced the `Agent` class to support running agents with prompts and managing threads.
- Added streaming capabilities for real-time message processing.
- Created example scripts for testing agent functionality and stream processing.
- Updated models and tools to improve integration and usability.
- Moved existing components to a new `sdk` directory for better organization.
- Introduced new API structure for agent and thread management.
- Added models for tools and messages to enhance functionality.
- Implemented a local key-value store for persistent data management.
- Updated README and project files to reflect new structure and usage.
- Added core modules including agent management, HTTP client, configuration, and tool execution.
- Implemented FastMCP for tool registration and execution.
- Created example script for weather tool integration.
- Established testing framework with mock API for comprehensive testing.
- Included README for SDK usage instructions and setup.
- Introduced GEMINI_API_KEY in setup and environment files.
- Updated SetupWizard to include Google Gemini as a supported LLM provider.
- Adjusted model selection logic to accommodate Gemini models.
- Modified billing and configuration files to handle Gemini model pricing and aliases.
- Updated documentation to reflect the addition of GEMINI_API_KEY.
- Introduced comprehensive guidelines for backend development, including Python standards, FastAPI architecture patterns, and database integration practices.
- Added frontend development guidelines focusing on TypeScript standards, Next.js app structure, and state management.
- Established infrastructure and DevOps guidelines covering Docker best practices, environment management, and CI/CD strategies.
- Created a project overview document detailing the architecture components, development principles, and key technologies for the Suna AI Agent project.
mykonos-ibiza
Bobbie
Saumya
Marko Kraemer
kubet
marko-kraemer