- Add support for native tool call streaming with XML-like tags
- Implement stringHash for message name anonymization
- Add debug environment variable for printing request messages
- Remove unused function and arguments fields in message contents
- Modify message type handling for tool calls in streaming chat
- Replace deprecated model "text-davinci-003" with "gpt-3_5-turbo-instruct"
- Comment out deprecated Edits method in tests and implementation
- Enhance HTTP request headers with explicit Content-Type
- Add fallback for model configuration when not explicitly set
- Improve header handling for Azure and standard OpenAI authentication
- Implement Azure OpenAI authentication with `azure` flag in OpenAI struct
- Update HTTP request headers to support Azure API key authentication
- Enhance message parsing to handle additional edge cases in OpenAI responses
- Add debug logging for OpenAI messages when debug environment is set
- Improve error and usage detection in stream message processing
- Add user ID to input name when not explicitly set
- Update stream chat to mark final message as "think" type
- Modify history retrieval to add system prompts after fetching chat history
- Remove debug print statement in message data mapping
- Added `Hidden` flag to `Message` struct for controlling message visibility
- Modified `saveChatHistory` to conditionally save messages based on hidden status
- Simplified stream chat processing by removing debug print statements
- Restructured message output and next action handling in stream chat
- Commented out unused process action execution method
- Added default base URL "/v1" in NewMoapi method
- Supports flexible base URL configuration for OpenAI API client
- Complements previous work on API configuration and streaming improvements
- Implemented handling of reasoning_content in OpenAI message parsing
- Added support for tracking thinking state with `<think>` tags
- Updated message generation to handle delta messages and thinking states
- Modified OpenAI API to support flexible base URL configuration
- Enhanced token scanning and message processing for reasoning content
- Updated ScanTokens method to preserve and reuse existing message IDs
- Modified streaming chat to track and pass current message ID during token scanning
- Ensured consistent message ID generation when not explicitly provided
- Introduced UUID generation for message contents during token scanning
- Updated message and contents methods to support optional ID parameter
- Modified streaming chat processing to include message ID tracking
- Enhanced message parsing and appending with ID preservation
- Removed unnecessary breakpoint and token tracking variables
- Streamlined token scanning and message processing in assistant API
- Simplified text handling and token parsing in contents scanning
- Reduced complexity of stream chat message generation
- Implemented token scanning for 'think' and 'tool' types in stream chat
- Added support for delta message streaming with improved message chunking
- Updated contents handling to remove last empty data and track token states
- Refined message type processing and streaming logic in assistant API
- Modified message appending and type handling to support new streaming approach
- Implemented system prompts for tool calls when connector settings disable native tool handling
- Added JSON-formatted tool list and explicit rules for tool call processing
- Included guidelines for tool call response formatting and function usage
- Preserved existing tool prompts functionality
- Updated `DSL` struct to include `Connectors` with `assistant.ConnectorSetting` type
- Modified `initAssistant()` to set connector settings via `SetConnectorSettings()`
- Adjusted `load.go` and `types.go` to support new connector settings configuration
- Implemented connector-specific tool and vision handling in assistant methods
- Renamed `Functions` to `Tools` across multiple files
- Added `ConnectorSetting` to support vision and tools flags
- Updated loading and serialization logic for tools
- Modified message contents handling for better JSON parsing
- Adjusted test cases to reflect tool-related changes
- Enhanced error handling in OpenAI message processing
- Added colored console output for JSON parsing errors
- Updated Error struct to support flexible code type
- Improved message type and done state setting for various error scenarios
- Added support for parsing different error message formats
- Implemented `select` parameter parsing in `parseAssistantFilter`
- Added support for selecting fields via string, string array, or interface array
- Enhanced `neo/process.go` to handle flexible field selection
- Improved error handling in stream chat processing
- Fixed function message handling in message appending
- Added support for parsing and handling pending and error messages in stream processing
- Improved error message extraction and writing for better error visibility
- Updated message type handling to capture and process raw error messages
- Introduced more flexible input parsing in withHistory and execute methods
- Added environment variable support for connector configuration in assistant loading
This change improves the robustness of error handling and message processing in the Neo API assistant, providing more comprehensive error reporting and input flexibility.
- Added filtering for 'function' type messages in requestMessages method
- Removed debug print statement in streamChat method
- Enhanced message handling to ignore function call messages during processing
This change refines the message filtering logic in the Neo API assistant, improving the clarity and efficiency of message stream processing.
- Updated HookCreate to support extended timeout and input message parsing
- Modified CreateResponse to include optional input messages
- Refactored assistant hooks to improve context and message handling
- Added support for more flexible streaming and done hook processing
- Adjusted timeout contexts and method signatures for better error management
This change improves the Neo API assistant's flexibility and robustness in handling complex message interactions and hook scenarios.
- Added `AssistantIDs` field to `AssistantFilter` to support filtering by multiple assistant IDs
- Updated `GetAssistants` and `DeleteAssistants` methods to handle multiple assistant ID filtering
- Expanded test cases to verify multi-ID filtering, selection, and deletion functionality
- Simplified and improved test data generation and cleanup processes
This change provides more flexible assistant retrieval and management capabilities in the Neo API.
- Implemented `processAssistantMatch` method to handle assistant matching requests
- Added support for limit parameter with default and maximum values
- Introduced `forceStore` flag to control matching method (RAG or store)
- Created placeholder methods `assistantMatchRAG` and `assistantMatchStore`
- Enhanced OpenAI message handling to parse error responses
- Updated message type handling to include error messages
This change adds flexible assistant matching capabilities with initial infrastructure for RAG and store-based matching.
- Introduced Version and RAG flags in the Context struct to support advanced assistant features
- Updated Execute method to set RAG and Version context properties
- Enhanced withOptions method to conditionally add custom options and tools
- Modified HookInit to pass options parameter, improving hook flexibility
This change improves the Assistant's configurability and supports more dynamic assistant interactions.
- Converted initialization methods from receiver methods to package-level functions
- Simplified method calls by directly using the global Neo instance
- Removed redundant method receiver references in initialization logic
- Improved code readability and reduced unnecessary method complexity
This change streamlines the Neo initialization process and makes the code more straightforward and maintainable.
- Improved tag handling in loadMap to support multiple input types
- Added support for parsing tags from []interface{}, string, and other JSON-compatible formats
- Utilized jsoniter for robust type conversion and marshaling
- Increased robustness of tag loading process for diverse input scenarios
This change enhances the flexibility of tag parsing during Assistant initialization, allowing more versatile data input methods.
- Implemented a new `/chats/latest` endpoint to fetch the most recent chat or generate a placeholder
- Added `handleChatLatest` method in the DSL to support retrieving the latest chat for a given session
- Introduced `GetPlaceholder()` method in the Assistant interface to support placeholder generation
- Enhanced API flexibility by allowing optional assistant ID specification for placeholder retrieval
This change improves the chat retrieval capabilities of the Neo API, providing a convenient way to access the most recent chat or generate a starting point for new conversations.
- Introduced a new Placeholder struct to provide additional metadata for assistants
- Updated Assistant struct to include an optional Placeholder field
- Modified loading and mapping methods to handle Placeholder data
- Extended database schema and test cases to support Placeholder functionality
This enhancement provides a flexible way to add descriptive metadata to assistants, improving their discoverability and configuration.
- Modified the message handling logic to include 'action' messages in the ignore list alongside 'loading' and 'error' messages, improving the clarity of message processing.
- This change enhances the robustness of the Neo API assistant by ensuring that irrelevant message types are not processed, streamlining the overall message handling workflow.
- Added a new endpoint for executing assistant calls via POST request, enhancing the API's capabilities.
- Introduced the handleAssistantCall method to process incoming requests, validate parameters, and execute the assistant's script.
- Updated the Assistant interface to include the Call method, allowing for dynamic method invocation based on the provided payload.
- Enhanced error handling for missing parameters and invalid requests, improving the robustness of the assistant's API interactions.
These changes significantly improve the Neo API assistant's functionality, enabling more interactive and dynamic assistant capabilities.
- Added 'updated_at' field to the chat selection query to include the last modified timestamp in chat responses.
- Updated the ordering of chat results to prioritize 'updated_at' over 'created_at', improving the relevance of displayed chats.
- Modified the handling of chat creation timestamps to fall back on 'created_at' if 'updated_at' is not available, ensuring consistent date representation.
- Implemented an update mechanism for the 'updated_at' field when saving chat history, enhancing data integrity and tracking.
These changes improve the chat management capabilities of the Neo API assistant, ensuring more accurate and relevant chat data retrieval.
