- Replaced 'Voice' with 'Audio' in the system configuration and related tests to better reflect functionality.
- Introduced new methods for role management in the llmprovider, allowing for dynamic retrieval of roles based on user and team context.
- Updated the OpenAPI settings to support new role management endpoints and capabilities.
- Enhanced the handling of API keys in provider management, allowing for optional plain-text retrieval.
- Remove the `LoadModelCapabilities` test and associated model capabilities initialization from the agent, streamlining the loading process.
- Update the LLM provider implementations to utilize a unified `Capabilities` structure, replacing references to `openai.Capabilities` with `llm.Capabilities`.
- Enhance capability retrieval methods to simplify the extraction of connector capabilities, ensuring compatibility across different LLM providers.
- Clean up unused functions and variables related to model capabilities, improving code maintainability.
- Update the `ToMap` function in `capabilities.go` to include the `stt` capability from OpenAI.
- Modify the `convertAnthropicCaps` function to map the `STT` field from Anthropic capabilities.
- Enhance documentation in `llm.go` to describe the new `stt` capability for audio transcription models.
- Add handling for Anthropic connector types in the sandbox, allowing direct connections without a proxy.
- Enhance capability retrieval to support both OpenAI and Anthropic formats, ensuring a unified interface.
- Update the executor and command logic to differentiate between OpenAI and Anthropic configurations, streamlining environment setup.
- Modify the provider selection logic to accommodate Anthropic capabilities, improving flexibility in LLM provider management.
- Refactor API detection to include Anthropic, ensuring accurate identification of connector types.
- Replaced the deprecated getConnectorCapabilities method with a unified capability getter in the Assistant model, improving capability retrieval logic.
- Added a new API endpoint to retrieve essential assistant information, including fields like id, name, avatar, and connector options, enhancing the assistant's data accessibility.
- Updated the LLM management to support filtering by capabilities, allowing for more flexible provider listings based on user-defined models.
- Improved overall structure and clarity in the assistant's capabilities and API responses, ensuring better maintainability and usability.
- Updated context creation in handleChat, handleGenerateTitle, and handleGeneratePrompts to use the request context, improving context management.
- Commented out unused context settings for assistant ID, silent mode, history visibility, and client type to streamline the code.
- Refactored context handling in assistant methods to enhance clarity and maintainability.
- Removed deprecated functions and cleaned up the context structure for better performance and readability.
- Updated the assistant-related API handler functions in neo/api.go to follow Go naming conventions by capitalizing the function names, making them exported for use in openapi/agent.
- This change enhances code readability and consistency across the API implementation.
- Added new LLM and MCP server management handlers in their respective packages, improving the overall structure and organization of the OpenAPI module.
- Removed the obsolete agent.go file, streamlining the codebase.
- Introduced ObtainAccessTokenWithRootPermission function to streamline the creation of test users with root permissions, ensuring consistent access token generation for tests.
- Updated various test cases to utilize the new function, improving clarity and reducing redundancy in access token acquisition.
- Enhanced team configuration retrieval to expose public settings while hiding sensitive information, improving security in API responses.
