Release: Nightly -> Main #244
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- Added retry mechanism with configurable retry count to handle transient failures - Enhanced prompt formatting with clearer template list presentation and validation rules - Improved error handling to retry on failures before falling back to null selection
…tion - Move auto-resume logic to initial state restoration for more reliable reconnection handling - Update agent state handler to only manage UI state, not trigger generation - Add proper phase cancellation tracking when generation is stopped by user
- Fixed model disposal to prevent memory leaks - Improved value updates using pushEditOperations for better undo/redo support
- Process escaped newlines and tabs in commit messages to preserve proper formatting - Apply unescaping in both FileManager and git tool for consistency
- Set isGenerating flag immediately before triggering generation to avoid UI state inconsistencies - Added flag update for both new chat and reconnection scenarios
Fix: general bug fixes, prompt fixes, workflow improvements
- Split monolithic simpleCodeGeneratorAgent into baseAgentBehavior and PhasicAgentBehavior - CodeGeneratorAgent now inherits Agent class (DO) and uses behavior - AgentBehavior relies on AgentInfrastructure (provided by DO) to work, allows to write non-DO coding agents (like cli based) - Phasic for legacy state machine app builder, Agentic for agent driven loop - Agentic would support multiple project types - 'app', 'workflow', 'slides/docs'
…h-github-token-caching
Fix: patch GitHub token caching
…t 1" This reverts commit fc34077.
- Add agent-specific model constraints and filtering - Refactor centralize AI model configuration with credit-based system - Add SimpleCodeGeneration operation - Update model configurations and rate limits - Improve model selector and config UI
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…ration - Add instance-level static analysis cache to reduce redundant analysis calls - Invalidate cache on sandbox deployment to ensure fresh analysis - Move final phase generation logic from executeFinalization to use executePhaseGeneration - Remove staticAnalysis parameter passing through execution methods - Move LAST_PHASE_PROMPT from PhaseImplementation to PhaseGeneration operation - Add isFinal flag to phase generation to
) * refactor: split agent config by deployment type and reduce resource limits Split AGENT_CONFIG into platform-specific and vanilla deployments based on PLATFORM_MODEL_PROVIDERS environment variable. Add documentation comments explaining config usage. Reduce deepDebugger max tool calling depth from 100 to 50 and conversation compactification threshold from 100k to 50k tokens. Add Google Vertex AI models (GPT OSS 120B and Kimi K2 Thinking) to model catalog. Enhance blueprint system prompt to emphas * refactor: adjust blueprint and implementation agent model configurations Switch blueprint agent from Gemini 3 Pro Preview to OpenAI 5 Mini with reduced max tokens (32k). Update firstPhaseImplementation and phaseImplementation agents to use Gemini 2.5 Pro instead of Gemini 3 Pro Preview. Lower firstPhaseImplementation temperature from 1.0 to 0.2 for more consistent output. Update blueprint system prompt to clarify project seriousness by replacing "toy or educational" with "toy or demo". * refactor: extract shared agent configs and improve config organization
Refactor: improve static analysis caching and finalization phase generation rewrite
…e type exports Move getModelConfigsInfo implementation from SimpleCodeGeneratorAgent to ModelConfigService for better separation of concerns. Export ModelConfigsInfoMessage, AgentDisplayConfig, and ModelConfigsInfo types from websocketTypes for frontend consumption. Remove duplicate AgentDisplayConfig interface from model-config-tabs.tsx. Add blueprint_chunk WebSocket message type. Remove 'advanced' workflow tab and update agent
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