Feishu API rejects messages with content exceeding ~64KB with error
230001 "invalid message content". Added truncation at 60,000 characters
to prevent this, with a notice appended to truncated content.
- Fetch URL and extract readable text
- HTML to plain text conversion
- Removes scripts, styles, and HTML tags
- Decodes HTML entities
- JSON pretty printing
- SSRF protection
- Includes 6 unit tests
- HTTP client with GET/POST/PUT/DELETE/PATCH support
- Domain allowlist for security
- SSRF protection (blocks private IPs, localhost)
- Response size limit and truncation
- Timeout control
- Includes 8 unit tests
- Execute shell commands with timeout
- Safety guards block dangerous commands (rm -rf, fork bombs)
- Output truncation for large outputs
- Working directory support
- Includes 7 unit tests
- Edit file by replacing old_text with new_text
- Supports multiline edits
- Fuzzy line-based matching for minor differences
- replace_all option for batch replacement
- Includes 5 unit tests
- Added ContentBlock enum for multimodal content representation (text, image).
- Enhanced ChatMessage struct to include media references.
- Updated InboundMessage and OutboundMessage to use MediaItem for media handling.
- Implemented media download and upload functionality in FeishuChannel.
- Modified message processing in the gateway to handle media items.
- Improved logging for message processing and media handling in debug mode.
- Refactored message serialization for LLM providers to support content blocks.
- Removed internal history management from AgentLoop.
- Updated process method to accept conversation history as a parameter.
- Adjusted continue_with_tool_results to work with external history.
- Added OutboundDispatcher for handling outbound messages from MessageBus.
- Introduced InboundMessage and OutboundMessage structs for message handling.
- Updated Channel trait to include message handling and publishing to MessageBus.
- Refactored Session to manage chat histories instead of AgentLoop instances.
- Enhanced GatewayState to start message processing loops for inbound and outbound messages.
- Introduced a new CalculatorTool for performing various arithmetic and statistical calculations.
- Enhanced the AgentLoop to support tool execution, including handling tool calls in the process flow.
- Updated ChatMessage structure to include optional fields for tool call identification and names.
- Modified the Session and SessionManager to manage tool registrations and pass them to agents.
- Updated the OpenAIProvider to serialize tool-related message fields.
- Added a ToolRegistry for managing multiple tools and their definitions.
- Implemented tests for the CalculatorTool to ensure functionality and correctness.
