v0.3.0

🎉 DAIV v0.3.0 – Quick Actions, Cleaner Workflows

We’re thrilled to announce DAIV v0.3.0, bringing powerful new quick action triggers, smarter automation, and key stability fixes for a smoother experience.

⚡ What’s New

• Quick Actions for Issues and Merge Requests:
  You can now perform actions simply by commenting! DAIV listens to specific phrases to trigger automations:

  • @daiv plan revise – triggers plan revision on an issue.
  • @daiv plan execute – approves a plan on an issue.
  • @daiv pipeline repair – repairs a pipeline directly from a merge request.
  • @daiv pipeline repair apply – applies a repair plan to a pipeline directly from a merge request.

🔁 Updated Behavior

• Agents are now quick action–driven:

  • PipelineFixerAgent no longer requires webhooks—just a comment.
  • IssueAddressorAgent can now approve plans via quick action.

• Async-first Architecture:
  RunSandboxCommandsTool and RunSandboxCodeTool are now fully async, improving performance and scalability.

🐛 Bug Fixes

• ReviewAddressorAgent now correctly handles single-line review comments without a range.
• IssueAddressorAgent now properly removes bot labels from issue titles, fixing errors related to title parsing. (#435)
• Fixed handling of bot mentions in review comments, eliminating confusing agent prompts. (#436)

v0.2.1

🎉 DAIV v0.2.1 – Smarter Agents, Better Integration

We’re excited to release DAIV v0.2.1, featuring smarter agent behavior, improved workflows, and enhanced deployment capabilities.

🚀 What’s New

• OpenAI o3 model is now supported.
• Docker images are now built and pushed from the main branch—making edge version testing easier than ever.

💡 Key Improvement

• More targeted reviews with ReviewAddressorAgent:
  It now only addresses merge requests that explicitly mention DAIV in the discussion thread—reducing noise and making automated reviews more relevant and intentional.

🔧 Enhancements

• Default model for CodebaseChatAgent set to gpt-4.1.

• PlanAndExecuteAgent now defaults to medium thinking level for more balanced execution.

• Enhanced PipelineFixerAgent:

  • Ensures complete_task is called exactly once per run.
  • Includes richer troubleshooting context.

• Deployment docs updated with MCP proxy setup details.

• MCP server updated to @sentry/[email protected].

• Base Python image bumped to 3.13.5.

🐛 Fixes

• MCP proxy requests now properly include an Authorization: Bearer header when a token is configured (#419).

🔥 Removed

• Dropped support for Anthropic's claude-3-7-sonnet.

v0.2.0

🚀 DAIV v0.2.0 Released – Now with MCP Tools Support!

We’re thrilled to announce the latest release of DAIV, and it’s a big one:
This is the first version introducing support for MCP tools, enabling agents to interact with external services in a secure, modular and extensible way.

🧠 Key Features:

• 🔌 MCP Tools (Initial Support):
  Agents can now use built-in MCP tools like fetch and sentry to interact with external systems.

  Support for custom MCP tools is on the roadmap for upcoming versions.

• 📊 Improved Agent Reasoning:

  • Rewritten prompts for PlanAndExecuteAgent, ReviewAddressorAgent, and PipelineFixerAgent for better structure, clarity, and workflow guidance.
  • Improved agents thinking workflow, increasing the quality and predictability of execution plans.

• ⚡ Async by Default:
  The entire project has been migrated to async for improved performance and scalability.

Explore the release on GitHub and let us know what you think!

Full change log

v0.1.5

Added

• Added cleanup_indexes command to clean up outdated indexes and inaccessible repositories.

Fixed

• Fixed connection closed or lost on ConnectionPool by using check_connection to verify if the connection is still working.
• Fixed chunks length check to use the correct number of tokens instead of the number of characters.

v0.1.4

Added

• Added support to claude-sonnet-4 and claude-opus-4 models from Anthropic.

Changed

• Optimized PullRequestDescriberAgent prompt to improve the quality of the responses for a 0-shot agent.
• Optimized CodebaseChatAgent prompts to improve the quality of the responses, reduce hallucinations, gatekeeping first and improve the reasoning capabilities of the agent.
• Updated PlanAndExecuteAgent to use claude-sonnet-4 as the default model for planning and execution.

Fixed

• reply_reviewer node of ReviewAddressorAgent was not using the correct tool to reply to the reviewer comments. We completely refactored the agent to turn it more reliable and robust.
• SearchCodeSnippetsTool was being called with repository parameter even when repo_id was being provided, leading to errors. Now we support conditionally add the repository parameter to the signature of the tool.
• Sometimes Document.id was being defined as an uuid when retrieving the document from the database, leading to errors.

v0.1.3

Added

• Added mapping for yaml language for .yaml and .yml extensions.

Fixed

• Temperature is being sent on o4-mini model, which is not supported.
• Large chunks were being indexed, causing errors on the embedding process. Now it will skip chunks that are too large (more than 2x the chunk size). #378

v0.1.2

Added

• Added support to 04-mini model from OpenAI.
• Added support to define LANGSMITH_API_KEY as docker secrets.

Changed

• Improved plan comment template readability by adding a separator between the each step of the plan.
• Normalized WEB_SEARCH_API_KEY to be AUTOMATION_WEB_SEARCH_API_KEY and followed the same pattern for other keys.

Fixed

• Fixed ImportError when LanguageParser try to parse a files with tree-sitter-languages, which is not installed.
• Fixed system checks to verify if required environment variables or docker secrets are set up.
• Fixed PushCallback to consider only merge requests created by DAIV to avoid indexing every merge request on the project.

v0.1.1

Fixed

• Fixed start-app script passing iligal option -o.

v0.1.0

🤖 DAIV v0.1.0 – First Official Release 🎉

We’re excited to announce the first official release of DAIV — an open-source automation assistant built to supercharge developer productivity through intelligent AI agents.

After extensive development and testing, DAIV is ready for real-world use and open for contributions!

🚀 What is DAIV?

DAIV is an AI-powered automation platform that helps developers focus on what matters most. It integrates seamlessly with your workflow to understand, adapt, and act on codebase context — making tedious tasks faster and smarter.

🔧 Key Features

• Plan & Execute Codebase Changes
  Automate development tasks by linking DAIV agents directly to issues or feature requests.

• Automated PR Improvements
  Let DAIV respond to code review comments, adjust implementation, and refine your pull requests.

• CI/CD-Aware Fixes
  Monitor your pipelines. When something fails, DAIV can analyze logs and suggest or apply fixes.

• Chat with Your Codebase
  Ask questions and explore your codebase using DAIV’s built-in RAG engine for smart context-aware answers.

📦 Getting Started

DAIV can be installed and configured by following the official documentation:
👉 Up & Running Guide

📚 Documentation

Full documentation is available at:
👉 srtab.github.io/daiv

🔍 Known Limitations

DAIV is still in its early stages (v0.1.0), so expect rapid iteration and evolving APIs.
We welcome feedback to improve its capabilities and compatibility across workflows.

🙌 Get Involved

DAIV is fully open-source — contributions, feedback, and bug reports are encouraged!
Check out the GitHub repository to get started.

v0.1.0-beta.5

Added

• Added support for HuggingFace and VoyageAI embeddings models.

Changed

• Improved README.md to include information about how to setup a test project on local GitLab.
• Command update_index now has a --semantic-augmented-context flag to conditionally generate semantic augmented context.

Fixed

• PlanAndExecuteAgent: Plan prompt <file_path> was always empty.
• Agent model configurations did not allow you to configure models that were not declared on the ModelName enum. Now you can pass arbitrary strings.