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Initial OpenEnv Agent Submission
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Project History and Knowledge Log

Every code, logic, or design change must be documented here with full context. Format: ## [Date] β€” vX.Y β€” [Module Changed]


Template for New Entries

## [YYYY-MM-DD] β€” vX.Y β€” [Module Name]
**Changed by:** [Name / Agent]
**File(s) affected:** [list of files]
**Reason:** [why was this change made]
**What changed:** [what exactly changed]
**Impact:** [what breaks or improves as a result]
**Linked issue:** [error log entry if applicable]

Version 0.1 β€” Project Inception

Date: 2026-04-07 (estimated) Changed by: Manas

Summary

Initial idea finalized.

  • Project selected: Git Conflict Resolver
  • Target platform: Antigravity OpenEnv
  • Deployment target: Hugging Face Spaces
  • Language: Python 3.10+
  • Core concept: Autonomous AI agent that resolves Git merge conflicts inside a sandboxed repository, evaluated with a dense reward function
  • Environment model: OpenEnv standard (reset / step / state API)

Version 0.2 β€” Task Design

Changed by: Manas

Summary

Created task design for the 3 core difficulty levels.

Task ID Name Type
Task 1 easy_conflict Single-file conflict with standard markers
Task 2 medium_conflict Multi-file dependency conflict β€” signature mismatch
Task 3 hard_conflict Semantic merge conflict β€” logic duplication across branches

Files affected:

  • CHECKLIST.MD β€” Phase 2 items defined
  • ROADMAP.md β€” Task folders listed under "Task Repository Creation"

Impact: Defined scope of evaluation for the agent. All three tasks must be solvable before deployment.


Version 0.3 β€” Environment API Design

Changed by: Manas

Summary

Implemented environment API contract and reward function structure.

Files affected:

  • skills/environment_rules.md β€” reset(), step(), state() API defined
  • skills/grading_logic.md β€” Reward components and scoring table defined
  • ROADMAP.md β€” Reward values documented

Reward structure introduced:

Reward Event Value
Conflict marker correctly removed +0.15 per block
File passes AST syntax check +0.20
File fails AST parse βˆ’0.10
All unit tests pass +0.30
Duplicated logic detected βˆ’0.20

Impact: Defined the learning signal for agent training. Reward is dense β€” given at every step, not just episode end.


Version 0.4 β€” Skills Documentation

Changed by: Manas

Summary

Documented the 5 agent skills.

Files affected:

  • skills/agent_purpose.md β€” Primary objective and agent role defined
  • skills/agent_skills.md β€” 5 skill modules described:
    1. Conflict Detection (marker scanning)
    2. Syntax Validation (AST-based)
    3. Cross-file Dependency Resolution
    4. Semantic Merge (logic deduplication)
    5. Test Validation (unit test execution)

Impact: Skills serve as both implementation guide and agent self-description for LLM-based agent prompting.


Version 0.5 β€” Documentation Structure

Changed by: Manas

Summary

Created docs/ directory with two key logging files.

Files created:

  • docs/idea_and_development_chat.md β€” Architecture and design decision log
  • docs/error_and_solving_chat.md β€” Runtime error and solution log

Purpose: Maintain a living record of design reasoning and debugging history throughout development. This prevents repeated mistakes and helps onboarding.


Update Rules (Mandatory)

Every change made to this project must be logged here. An entry is required when:

  1. βœ… A new file is created
  2. βœ… An existing file's logic changes
  3. βœ… A reward value is adjusted
  4. βœ… A skill definition changes
  5. βœ… A task repository is modified
  6. βœ… A bug is fixed (link to error_and_solving_chat.md)
  7. βœ… A deployment is made

An entry must include:

  • The date
  • Which module/file changed
  • Why it changed
  • What the impact is
  • Any linked issue or error