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Agent Optimization Implementation Summary

Date: February 11, 2026
Status: ✅ Complete
Based on: DOKPLOY_AGENT_OPTIMIZATION.md


Overview

This document summarizes the implementation of critical corrections to the Dokploy agent configuration, addressing fundamental misunderstandings about GitHub Copilot's architecture and optimizing token usage by 68%.


Phase 1: Document Optimization ✅

Problem

  • Total baseline: 4,731 words (~6,300 tokens)
  • AGENTS.md: 3,102 words (26KB) - too verbose
  • CLAUDE.md: 1,629 words (12KB) - redundant
  • .github/copilot-instructions.md: Single-line redirect (non-functional)

Solution

Consolidated documentation into three focused files:

File Words Purpose
.github/copilot-instructions.md 242 Primary Copilot standards (500 tokens)
AGENTS.md 929 Universal agent reference (800 tokens)
CLAUDE.md 316 Claude-specific config (200 tokens)
TOTAL 1,487 ~2,000 tokens

Result: 68% reduction (4,731 → 1,487 words)

Changes Made

.github/copilot-instructions.md

  • Before: Symlink to AGENTS.md (broken)
  • After: Standalone file with:
    • Template Triad (compose + TOML + meta.json)
    • Mandatory patterns (variables, services, Cloudflare)
    • Validation commands
    • Quality gates checklist
    • References to deep context (AGENTS.md, skills)

AGENTS.md

  • Before: 26KB comprehensive guide (3,102 words)
  • After: 7.7KB focused reference (929 words)
  • Sections:
    1. Quick Reference (tech stack, structure)
    2. Template Anatomy (minimal examples)
    3. Design Patterns (3 core patterns)
    4. CLI Commands
    5. Quality Gates
    6. Security Standards
    7. API Documentation References

CLAUDE.md

  • Before: 12KB detailed configuration (1,629 words)
  • After: 2.4KB reference document (316 words)
  • Content:
    • Primary reference pointers
    • Skills-first approach explanation
    • Session initialization steps
    • Permission boundaries
    • Quick commands

Backups Created

  • AGENTS_OLD.md (original 26KB version)
  • AGENTS.md.backup (pre-edit backup)
  • CLAUDE_OLD.md (original 12KB version)
  • CLAUDE.md.backup (pre-edit backup)

Phase 2: Blueprint Creator ✅

Problem

Original design used non-existent .agent.md format:

  • Tried to use .github/agents/blueprint-creator.agent.md
  • GitHub Copilot does not support this format
  • No agent assignment mechanism existed

Solution

Implemented three-component architecture:

1. Path-Specific Instructions

File: .github/instructions/blueprints.instructions.md

Format:

---
applyTo: "blueprints/**"
---

Contains:

  • File structure requirements
  • Docker Compose rules (version, images, restart, volumes)
  • template.toml rules (variables, serviceName, helpers)
  • Cloudflare integration guidelines
  • meta.json entry schema
  • Validation requirements
  • Security rules
  • Naming conventions

Behavior: Automatically loaded when Copilot works on any file in blueprints/

2. Issue Template

File: .github/ISSUE_TEMPLATE/new-blueprint.yml

Features:

  • Structured YAML form template
  • Fields:
    • Application name
    • Docker image and version
    • Description
    • Cloudflare services (checkboxes)
    • Dependencies (checkboxes)
    • Additional requirements
    • Links
    • Completion checklist
  • Auto-assigns copilot label
  • Creates standardized issues

3. Assignment Mechanism

Method: GitHub REST API

Usage:

# Create issue via GitHub UI (recommended)
# Or via CLI:
gh issue create \
  --template new-blueprint.yml \
  --title "[Blueprint] Redis" \
  --assignee copilot

Advanced (requires Copilot Enterprise):

gh api --method POST \
  -H "Accept: application/vnd.github+json" \
  /repos/enuno/dokploy/issues/ISSUE_NUMBER/assignees \
  --input - <<< '{
    "assignees": ["copilot"],
    "agent_assignment": {
      "custom_instructions": "Follow blueprints.instructions.md..."
    }
  }'

Documentation Created

File: docs/BLUEPRINT_CREATOR.md

Contents:

  • Architecture overview
  • Three creation methods (UI, CLI, API)
  • Copilot behavior expectations
  • PR review guidelines
  • Troubleshooting
  • Advanced workflows

Phase 3: Version Scanner ✅

Problem

Original design used incorrect gh-aw format:

  • Missing proper frontmatter
  • Wrong structure for Copilot workflows
  • Undefined tool permissions

Solution

Implemented gh-aw compliant workflow:

Workflow File

File: .github/workflows/daily-version-scan.md

Frontmatter:

---
description: Scans blueprints for outdated Docker image versions
on:
  schedule:
    - cron: "0 8 * * *"
  workflow_dispatch:
permissions:
  contents: read
  issues: write
engine: copilot
timeout-minutes: 15
tools:
  bash: true
  github: true
  web-fetch: true
safe-outputs:
  create-issue:
    enabled: true
    labels: ["template-update", "automated"]
---

Workflow Steps:

  1. Inventory Templates: Scan blueprints/*/docker-compose.yml, extract images
  2. Check Latest Versions: Query Docker Hub and GitHub APIs
  3. Create Issues: For outdated templates with structured issue body
  4. Deduplicate: Search existing issues to avoid duplicates
  5. Summary: Post table of results

Constraints:

  • Max 10 issues per run
  • Semver increases only
  • Respects API rate limits
  • Skips unversioned tags (latest, etc.)

Setup Commands

# Install gh-aw
gh extension install github/gh-aw

# Compile workflow
gh aw compile .github/workflows/daily-version-scan.md

# Set secrets
gh secret set DOCKER_HUB_TOKEN  # Optional, increases rate limit

# Test
gh aw run daily-version-scan

Generated Files

  • .github/workflows/daily-version-scan.md (source)
  • .github/workflows/daily-version-scan.lock.yml (compiled, auto-generated)

Both must be committed to version control.

Documentation Created

File: docs/VERSION_SCANNER.md

Contents:

  • Prerequisites and setup
  • Compilation instructions
  • Secret configuration
  • Workflow behavior details
  • Constraints and security
  • Troubleshooting
  • Modification guide
  • Monitoring instructions

Security Corrections

Issues Fixed

1. Docker Hub Token in MCP Servers

Problem: Original plan suggested exposing DOCKER_HUB_TOKEN in MCP server env vars.

Solution: Use GitHub Actions secrets:

env:
  DOCKER_HUB_TOKEN: ${{ secrets.DOCKER_HUB_TOKEN }}

Never expose tokens in workflow markdown body.

2. Rate Limiting

Problem: Docker Hub anonymous rate limit is 100 pulls/6hr.

Solution:

  • Authenticate with DOCKER_HUB_TOKEN for 200 pulls/6hr
  • Implement exponential backoff
  • Respect rate limit headers

3. Credential References

Problem: Original docs showed hardcoded credentials in examples.

Solution: All examples now use:

  • ${CF_API_TOKEN} for user-provided env vars
  • ${password:32} for generated secrets
  • ${{ secrets.* }} for workflow secrets

Deprecated Patterns Removed

❌ Removed Non-Existent Features

  1. .agent.md files

    • Not a GitHub feature
    • Replaced with: copilot-instructions.md + path-specific .instructions.md
  2. gh copilot issue assign @copilot --agent blueprint-creator

    • CLI syntax doesn't exist
    • Replaced with: REST API assignment or simple @copilot assignee
  3. gh copilot --agent blueprint-creator "prompt"

    • Not a real command
    • Replaced with: gh copilot for CLI chat, or issue assignment
  4. Direct agent invocation

    • Copilot agents work via issue assignment, not direct invocation
    • Workflow: Create issue → Assign copilot → Copilot creates PR

Validation Checklist

Token Optimization ✅

  • Rewrite .github/copilot-instructions.md (~242 words)
  • Consolidate AGENTS.md (26KB → 7.7KB, 3,102 → 929 words)
  • Reduce CLAUDE.md (12KB → 2.4KB, 1,629 → 316 words)
  • Move detailed content to extended docs
  • Verify: wc -w = 1,487 words total ✅

Blueprint Creator ✅

  • Create .github/instructions/blueprints.instructions.md
  • Create .github/ISSUE_TEMPLATE/new-blueprint.yml
  • Document issue-based assignment workflow
  • Create docs/BLUEPRINT_CREATOR.md guide
  • Test: Create issue → Assign copilot → Verify PR (requires live test)

Version Scanner ✅

  • Create .github/workflows/daily-version-scan.md in gh-aw format
  • Add proper frontmatter with permissions and tools
  • Document compilation instructions
  • Create docs/VERSION_SCANNER.md setup guide
  • Test: gh aw compile (requires gh-aw installation)
  • Test: gh aw run daily-version-scan (requires compiled workflow)

Documentation ✅

  • Create docs/BLUEPRINT_CREATOR.md
  • Create docs/VERSION_SCANNER.md
  • Create IMPLEMENTATION_SUMMARY.md (this file)
  • Backup original files (*_OLD.md, *.backup)

File Changes Summary

Created Files

.github/
├── copilot-instructions.md           [NEW] 242 words
├── instructions/
│   └── blueprints.instructions.md    [NEW] Path-specific rules
├── ISSUE_TEMPLATE/
│   └── new-blueprint.yml             [NEW] Issue template
└── workflows/
    └── daily-version-scan.md         [NEW] gh-aw workflow

docs/
├── BLUEPRINT_CREATOR.md              [NEW] Blueprint creator guide
└── VERSION_SCANNER.md                [NEW] Version scanner guide

IMPLEMENTATION_SUMMARY.md             [NEW] This file

Modified Files

AGENTS.md                             [REPLACED] 3,102 → 929 words
CLAUDE.md                             [REPLACED] 1,629 → 316 words

Backup Files

AGENTS_OLD.md                         [BACKUP] Original 26KB version
AGENTS.md.backup                      [BACKUP] Pre-edit backup
CLAUDE_OLD.md                         [BACKUP] Original 12KB version
CLAUDE.md.backup                      [BACKUP] Pre-edit backup

Next Steps

Immediate (Before Committing)

  1. Verify word count:

    wc -w .github/copilot-instructions.md AGENTS.md CLAUDE.md
    # Should show ~1,487 words total
  2. Test Docker Compose validation on existing blueprints:

    for dir in blueprints/*/; do
      docker compose -f "$dir/docker-compose.yml" config --quiet
    done
  3. Commit changes:

    git add .github/ AGENTS.md CLAUDE.md docs/ IMPLEMENTATION_SUMMARY.md
    git commit -m "refactor: optimize agent config (68% token reduction)"

Testing (Requires Environment Setup)

  1. Blueprint Creator:

    • Create test issue using .github/ISSUE_TEMPLATE/new-blueprint.yml
    • Assign @copilot or use REST API assignment
    • Verify Copilot creates PR with correct structure
    • Review PR against quality gates in copilot-instructions.md
  2. Version Scanner:

    • Install: gh extension install github/gh-aw
    • Compile: gh aw compile .github/workflows/daily-version-scan.md
    • Set secrets: gh secret set DOCKER_HUB_TOKEN
    • Test: gh aw run daily-version-scan
    • Verify: Check workflow run summary and created issues

Documentation

  1. Update main README.md with links to new docs
  2. Create docs/ARCHITECTURE.md for extended architectural details
  3. Move git workflow details to .github/CONTRIBUTING.md

Continuous Improvement

  1. Monitor Copilot PR quality from issue assignments
  2. Refine .github/instructions/blueprints.instructions.md based on PR feedback
  3. Adjust version scanner schedule if too many/few issues
  4. Add more design patterns to AGENTS.md as templates evolve

Impact Analysis

Token Savings

  • Before: ~6,300 tokens baseline
  • After: ~2,000 tokens baseline
  • Savings: 68% reduction
  • Cost Impact: 3.15x fewer tokens per interaction

Maintainability

  • Before: 66KB across 3-5 files, high redundancy
  • After: 12KB focused core, extended docs separate
  • Update Surface: Changed 1 pattern → update 1 file (was 3-5 files)

Correctness

  • Before: Based on non-existent features (.agent.md)
  • After: Uses actual GitHub Copilot architecture
  • Reliability: Can now be tested and validated

Developer Experience

  • Before: Unclear how to create blueprints or invoke agents
  • After: Clear process via issue templates and documented workflows
  • Discoverability: Path-specific instructions auto-load

Conclusion

All critical corrections from DOKPLOY_AGENT_OPTIMIZATION.md have been implemented:

  1. No .agent.md format: Replaced with copilot-instructions.md + path-specific .instructions.md
  2. Fixed redirect: .github/copilot-instructions.md is now standalone with actual standards
  3. Token optimization: Reduced from 4,731 to 1,487 words (68% reduction)
  4. Blueprint creator: Implemented with issue templates + path-specific instructions
  5. Version scanner: Created in correct gh-aw format with proper frontmatter
  6. Security fixes: Proper secret handling, no exposed credentials
  7. Deprecated patterns: Removed all references to non-existent features

The project now has a functional, optimized, and maintainable agent configuration based on GitHub Copilot's actual architecture.


Implementation Date: February 11, 2026
Implemented By: GitHub Copilot CLI
Validated By: Token count verification, structural analysis