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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Added

  • Planned:
    • Plan / Code modes in interactive CLI (explicit "planning" vs "coding" flows for complex tasks).
    • First‑class support for open‑source models via third‑party providers (e.g. OpenRouter, Groq and similar gateways), alongside existing Ollama + cloud integrations.

Fixed

  • TBC

[0.1.3] - 2025-01-XX

Fixed

  • Critical Bug Fix: Fixed duplicate code generation issue where natural language requests triggered code generation twice, causing unnecessary LLM API calls, high CPU usage, and duplicate code blocks in output
  • Removed duplicate code block in natural language processing path that was calling _process_input() twice for the same user input

[0.1.2] - 2025-01-XX

Added

  • MCP Integration: Full Model Context Protocol (MCP) client support with commands for server management (/mcp-servers, /mcp-connect, /mcp-disconnect), tools (/mcp-tools, /mcp-call), resources (/mcp-resources, /mcp-read), and prompts (/mcp-prompts, /mcp-prompt)
  • MCP Documentation: Complete MCP guides and tutorials (overview, integration reference, filesystem assistant, GitHub triage)
  • MCP Examples: Working implementations for filesystem assistant and GitHub triage copilot, plus configuration examples
  • MCP Configuration: Support for stdio, SSE, and WebSocket transports with multiple directory access for filesystem server
  • MCP Error Handling: Auto-connect for /mcp-tools, detailed error messages with troubleshooting tips

Changed

  • Default Performance Settings: Fast mode now enabled by default, RAG disabled by default for faster initial responses
  • /mcp-tools command now auto-connects to servers if not already connected
  • Improved MCP error messages and session management
  • Welcome screen displays performance settings (RAG/Fast Mode status) with contextual tips
  • Code generation completion messages now include tips to enable RAG for better quality when disabled

Fixed

  • Fixed /mcp-tools command failing when server not connected
  • Improved error handling for MCP connection and configuration issues

[0.1.1] - 2025-11-27

Added

  • UV Support: Full support for uv as an alternative to python -m venv for creating virtual environments. Documentation updated to recommend uv as the primary method.
  • Performance Toggles: New /fast-mode [on|off], /disable-rag, and /enable-rag commands for controlling RAG indexing and response speed. Performance settings now visible in welcome screen and /status command.
  • Venv Detection: Automatic detection of virtual environment in project root with startup warnings if missing.

Changed

  • Welcome screen now displays RAG Mode and Fast Mode status with context-aware tips.
  • Code execution prefers Python from project's .venv/bin/python when available.
  • Documentation updated to recommend uv as the primary installation method.

[0.1.0] - 2025-11-26

Added

  • Interactive CLI: Rich TUI with natural language interface for generating DSPy Signatures, Modules, and Programs. Core workflows: development (/init → generate → /validate → /run) and optimization (/data → /optimize → /eval).
  • Model Support: Local Ollama models and cloud providers (OpenAI, Anthropic, Gemini) with interactive /model command for easy connection. SDK support via optional extras: dspy-code[openai], dspy-code[anthropic], dspy-code[gemini], dspy-code[llm-all].
  • Code Generation: Natural language to DSPy code with support for major patterns (ChainOfThought, ReAct, RAG, etc.) and templates for common use cases.
  • Validation & Execution: /validate for code checks, /run and /test for sandboxed execution.
  • GEPA Optimization: End-to-end optimization workflows with /optimize commands and evaluation metrics integration.
  • MCP Integration: Built-in MCP client for connecting to external tools and data sources.
  • Project Management: /init, codebase indexing, RAG support, session management, and export/import functionality.
  • Documentation: Complete docs site (MkDocs Material) with getting started guides, tutorials, and reference documentation.

Changed

  • Default Ollama timeout increased to 120 seconds for large models.
  • Examples updated to use modern models (gpt-5-nano, claude-sonnet-4.5, gemini-2.5-flash).
  • Interactive UI improved with Rich library and DSPY_CODE_SIMPLE_UI mode for limited emoji support.
  • Natural language routing refined to prefer answers for questions and avoid duplicate code generation.

Fixed

  • OpenAI SDK migration to new client API, removed unsupported parameters for newer models.
  • Interactive mode errors (name 'explanations' is not defined, syntax errors).
  • Ollama timeout handling and error messages.
  • Documentation formatting and navigation issues.