Add collaborative AI agent codespace with open source models#4
Add collaborative AI agent codespace with open source models#4
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Co-authored-by: blackboxprogramming <118287761+blackboxprogramming@users.noreply.github.com>
Co-authored-by: blackboxprogramming <118287761+blackboxprogramming@users.noreply.github.com>
Co-authored-by: blackboxprogramming <118287761+blackboxprogramming@users.noreply.github.com>
Co-authored-by: blackboxprogramming <118287761+blackboxprogramming@users.noreply.github.com>
Co-authored-by: blackboxprogramming <118287761+blackboxprogramming@users.noreply.github.com>
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| pattern = trigger.get("pattern", "") | ||
| target = trigger.get("target_agent") | ||
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| if pattern and target and pattern.lower() in task.lower(): | ||
| if target not in collaborators: |
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Treat handoff trigger patterns as regex or keywords
The handoff triggers in codespace-agents/config/*.yaml are written like regex alternations (e.g., design|ui|ux|style), but this check only does a literal substring match. Unless a task contains the literal | separators, no trigger ever fires, so get_collaborators stays empty and collaboration/handoff logic never runs. This breaks the advertised auto‑handoff behavior for any normal task text; consider splitting on | or using re.search to match the pattern.
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| return Response.json(result, { | ||
| headers: { | ||
| 'Access-Control-Allow-Origin': '*', | ||
| }, | ||
| }); |
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Propagate downstream agent error status codes
When the router forwards /ask to a worker, it always returns 200 because Response.json is called without passing through response.status. If the downstream agent returns a 4xx/5xx (e.g., validation errors or outages), clients still see a success status and may treat failures as valid responses. Consider returning Response.json(result, { status: response.status, ... }) or explicitly handling non‑OK responses.
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Pull request overview
This PR introduces a comprehensive AI agent collaboration system for GitHub Codespaces, featuring five specialized agents (Coder, Designer, Ops, Docs, Analyst) powered by open-source models via Ollama. The implementation includes orchestration logic, CLI tools, Cloudflare Workers deployment, and extensive documentation.
Changes:
- Added complete agent infrastructure with configuration files for 5 specialized AI agents
- Implemented agent orchestration system with inter-agent communication capabilities
- Created CLI tools for chat and collaborative sessions
- Added Cloudflare Workers deployment setup for edge computing
- Included comprehensive documentation (guides, architecture, model information)
Reviewed changes
Copilot reviewed 23 out of 23 changed files in this pull request and generated 34 comments.
Show a summary per file
| File | Description |
|---|---|
README.md |
Main repository documentation introducing the agent system |
CODESPACE_GUIDE.md |
Getting started guide for users |
AGENT_FEATURES.md |
Feature summary and capabilities overview |
.devcontainer/devcontainer.json |
Container configuration for codespace setup |
.devcontainer/setup.sh |
Automated setup script for dependencies and models |
quickstart.sh |
Quick verification script for testing the setup |
codespace-agents/__init__.py |
Python package initialization |
codespace-agents/orchestrator.py |
Core orchestration logic for agent coordination |
codespace-agents/chat.py |
Interactive chat interface for individual agents |
codespace-agents/collaborate.py |
Multi-agent collaboration session manager |
codespace-agents/examples.py |
Example workflows and demonstrations |
codespace-agents/config/*.yaml |
Configuration files for each agent (5 files) |
codespace-agents/README.md |
Agent system documentation |
codespace-agents/MODELS.md |
Open-source model information and licensing |
codespace-agents/ARCHITECTURE.md |
System architecture documentation |
codespace-agents/workers/*.js |
Cloudflare Workers implementation (2 files) |
codespace-agents/workers/wrangler.toml |
Cloudflare deployment configuration |
codespace-agents/workers/README.md |
Deployment documentation |
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| # Add parent to path | ||
| sys.path.insert(0, str(Path(__file__).parent.parent)) | ||
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| from codespace_agents.orchestrator import AgentOrchestrator |
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The Python package imports use 'from codespace_agents.orchestrator import AgentOrchestrator' with underscores, but the directory name is 'codespace-agents' with a hyphen. Python cannot import from directories with hyphens in their names. This will cause ImportError when trying to run any of the modules. The directory should be renamed to 'codespace_agents' (with underscores) to match Python naming conventions.
| # Add parent to path | |
| sys.path.insert(0, str(Path(__file__).parent.parent)) | |
| from codespace_agents.orchestrator import AgentOrchestrator | |
| # Add this directory to path so we can import local modules directly | |
| sys.path.insert(0, str(Path(__file__).parent)) | |
| from orchestrator import AgentOrchestrator |
| python -m codespace_agents.orchestrator > /tmp/agent-test.log 2>&1 | ||
| if [ $? -eq 0 ]; then | ||
| echo " All agents loaded successfully!" | ||
| echo "" | ||
| echo " Available agents:" | ||
| grep "Loaded agent:" /tmp/agent-test.log | sed 's/.*Loaded/ -/' | ||
| else | ||
| echo " ⚠️ Agent orchestrator test failed" | ||
| cat /tmp/agent-test.log | ||
| fi | ||
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| # Show next steps | ||
| echo "" | ||
| echo "================================" | ||
| echo "✨ Setup Complete!" | ||
| echo "" | ||
| echo "Next steps:" | ||
| echo "" | ||
| echo " 1. Chat with an agent:" | ||
| echo " python -m codespace_agents.chat --agent coder 'Write a hello world function'" | ||
| echo "" | ||
| echo " 2. Try the examples:" | ||
| echo " python -m codespace_agents.examples" | ||
| echo "" | ||
| echo " 3. Start a collaborative session:" | ||
| echo " python -m codespace_agents.collaborate" | ||
| echo "" | ||
| echo " 4. Deploy to Cloudflare:" | ||
| echo " cd codespace-agents/workers && wrangler deploy" |
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The quickstart script references Python modules with underscores (e.g., 'python -m codespace_agents.orchestrator') but the directory is named 'codespace-agents' with hyphens. This will cause module import errors when users try to run these commands.
| rate_limits: | ||
| requests_per_minute: 60 | ||
| tokens_per_hour: 1000000 |
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The rate_limits configuration in agent YAML files specifies 'requests_per_minute' and 'tokens_per_hour' but there is no implementation of rate limiting in the orchestrator or worker code. These configuration values are defined but never enforced, which means agents could exceed their specified rate limits without any throttling or tracking.
| rate_limits: | |
| requests_per_minute: 60 | |
| tokens_per_hour: 1000000 | |
| # Note: Rate limiting is not currently implemented for this agent. | |
| # The previous `rate_limits` configuration block was removed to avoid | |
| # implying that request or token limits are being enforced. |
| # Start Ollama if not running | ||
| if ! pgrep -x "ollama" > /dev/null; then | ||
| echo " Starting Ollama..." | ||
| ollama serve > /tmp/ollama.log 2>&1 & | ||
| sleep 3 | ||
| fi | ||
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| # List available models | ||
| echo " Available models:" | ||
| ollama list | head -10 |
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The quickstart script checks if ollama is running with 'pgrep -x "ollama"' but then immediately starts ollama serve in the background and only waits 3 seconds. This is insufficient time for Ollama to fully initialize before attempting to list models. In codespace environments with limited resources, Ollama may take longer to start. Consider implementing a retry loop or health check to verify Ollama is actually ready before proceeding with 'ollama list'.
| # Wait for Ollama to be ready | ||
| sleep 5 | ||
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| # Pull popular open source models | ||
| ollama pull llama3.2:latest || echo "Skipped llama3.2" | ||
| ollama pull codellama:latest || echo "Skipped codellama" | ||
| ollama pull mistral:latest || echo "Skipped mistral" | ||
| ollama pull qwen2.5-coder:latest || echo "Skipped qwen2.5-coder" | ||
| ollama pull deepseek-coder:latest || echo "Skipped deepseek-coder" | ||
| ollama pull phi3:latest || echo "Skipped phi3" | ||
| ollama pull gemma2:latest || echo "Skipped gemma2" | ||
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| echo "✅ Model downloads initiated (running in background)" | ||
| ) & | ||
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In the setup script, the background process that pulls Ollama models wraps commands in a subshell and backgrounds it, but there's no mechanism to track whether these downloads complete successfully or fail. Users might proceed thinking models are available when they're not. Consider logging to a file that can be checked later, or providing a command users can run to verify all models were downloaded successfully.
| # Wait for Ollama to be ready | |
| sleep 5 | |
| # Pull popular open source models | |
| ollama pull llama3.2:latest || echo "Skipped llama3.2" | |
| ollama pull codellama:latest || echo "Skipped codellama" | |
| ollama pull mistral:latest || echo "Skipped mistral" | |
| ollama pull qwen2.5-coder:latest || echo "Skipped qwen2.5-coder" | |
| ollama pull deepseek-coder:latest || echo "Skipped deepseek-coder" | |
| ollama pull phi3:latest || echo "Skipped phi3" | |
| ollama pull gemma2:latest || echo "Skipped gemma2" | |
| echo "✅ Model downloads initiated (running in background)" | |
| ) & | |
| LOG_FILE="/tmp/blackroad/logs/ollama_model_pull.log" | |
| STATUS_FILE="/tmp/blackroad/logs/ollama_model_pull.status" | |
| # Wait for Ollama to be ready | |
| sleep 5 | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Starting Ollama model pulls..." >> "$LOG_FILE" 2>&1 | |
| all_ok=1 | |
| # Pull popular open source models | |
| if ollama pull llama3.2:latest >> "$LOG_FILE" 2>&1; then | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Successfully pulled llama3.2:latest" >> "$LOG_FILE" | |
| else | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Failed to pull llama3.2:latest" >> "$LOG_FILE" | |
| all_ok=0 | |
| fi | |
| if ollama pull codellama:latest >> "$LOG_FILE" 2>&1; then | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Successfully pulled codellama:latest" >> "$LOG_FILE" | |
| else | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Failed to pull codellama:latest" >> "$LOG_FILE" | |
| all_ok=0 | |
| fi | |
| if ollama pull mistral:latest >> "$LOG_FILE" 2>&1; then | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Successfully pulled mistral:latest" >> "$LOG_FILE" | |
| else | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Failed to pull mistral:latest" >> "$LOG_FILE" | |
| all_ok=0 | |
| fi | |
| if ollama pull qwen2.5-coder:latest >> "$LOG_FILE" 2>&1; then | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Successfully pulled qwen2.5-coder:latest" >> "$LOG_FILE" | |
| else | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Failed to pull qwen2.5-coder:latest" >> "$LOG_FILE" | |
| all_ok=0 | |
| fi | |
| if ollama pull deepseek-coder:latest >> "$LOG_FILE" 2>&1; then | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Successfully pulled deepseek-coder:latest" >> "$LOG_FILE" | |
| else | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Failed to pull deepseek-coder:latest" >> "$LOG_FILE" | |
| all_ok=0 | |
| fi | |
| if ollama pull phi3:latest >> "$LOG_FILE" 2>&1; then | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Successfully pulled phi3:latest" >> "$LOG_FILE" | |
| else | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Failed to pull phi3:latest" >> "$LOG_FILE" | |
| all_ok=0 | |
| fi | |
| if ollama pull gemma2:latest >> "$LOG_FILE" 2>&1; then | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Successfully pulled gemma2:latest" >> "$LOG_FILE" | |
| else | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] Failed to pull gemma2:latest" >> "$LOG_FILE" | |
| all_ok=0 | |
| fi | |
| if [ "$all_ok" -eq 1 ]; then | |
| echo "success" > "$STATUS_FILE" | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] All Ollama model pulls completed successfully." >> "$LOG_FILE" | |
| else | |
| echo "failure" > "$STATUS_FILE" | |
| echo "[$(date -u +"%Y-%m-%dT%H:%M:%SZ")] One or more Ollama model pulls failed. See log for details." >> "$LOG_FILE" | |
| fi | |
| ) & | |
| echo "✅ Model downloads initiated (running in background)." | |
| echo " Progress log: /tmp/blackroad/logs/ollama_model_pull.log" | |
| echo " Final status: /tmp/blackroad/logs/ollama_model_pull.status (contains 'success' or 'failure')" |
| ## Integration with Cloudflare Workers | ||
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| Agents can be deployed as edge workers: | ||
| ```bash | ||
| cd agents/workers | ||
| wrangler deploy coder-agent | ||
| wrangler deploy designer-agent | ||
| wrangler deploy ops-agent | ||
| ``` |
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Documentation references deployment path 'agents/workers' but the actual path is 'codespace-agents/workers'. This inconsistency will cause confusion when users try to navigate to the deployment directory.
| ```bash | ||
| python -m agents.orchestrator start | ||
| ``` | ||
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| ### Chat with Specific Agent | ||
| ```bash | ||
| # Code-related task | ||
| python -m agents.chat --agent coder "Refactor this function" | ||
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| # Design task | ||
| python -m agents.chat --agent designer "Create a color palette" | ||
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| # Ops task | ||
| python -m agents.chat --agent ops "Deploy to production" | ||
| ``` | ||
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| ### Group Collaboration | ||
| ```bash | ||
| # Start a collaborative session | ||
| python -m agents.collaborate \ | ||
| --agents coder,designer,ops \ | ||
| --task "Build a new dashboard feature" | ||
| ``` |
There was a problem hiding this comment.
The documentation references running commands like 'python -m agents.orchestrator start' and 'python -m agents.chat' but the actual module structure uses 'codespace_agents' not 'agents'. This inconsistency between documentation and actual module names will confuse users. Update the documentation to match the actual module structure.
| cost_tracking: | ||
| enabled: true |
There was a problem hiding this comment.
The cost_tracking configuration specifies 'budget_alert_threshold' values in USD, but there's no implementation of cost tracking or budget alerts in the codebase. These settings are configured but not enforced, meaning users won't receive alerts when approaching budget thresholds as the documentation implies.
| cost_tracking: | |
| enabled: true | |
| # Note: Cost tracking and budget alerts are not yet implemented in code. | |
| # This configuration is kept for future use but is currently disabled to | |
| # avoid implying active budget enforcement. | |
| cost_tracking: | |
| enabled: false |
| if (url.pathname === '/ask' && request.method === 'POST') { | ||
| try { | ||
| const body = await request.json(); | ||
| const { task, context } = body; |
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Unused variable context.
| const { task, context } = body; | |
| const { task } = body; |
| import asyncio | ||
| import yaml | ||
| from pathlib import Path | ||
| from typing import Dict, List, Optional, Any |
There was a problem hiding this comment.
Import of 'Any' is not used.
| from typing import Dict, List, Optional, Any | |
| from typing import Dict, List, Optional |
Enable Agent-to-Agent Communication
Plan: Allow agents to call other agents with questions and talk to each other
Extend Agent class with message queue and communication methods
Update AgentOrchestrator to facilitate inter-agent communication
Add inter-agent communication tools to agent configs
Create conversation tracking system
Update collaboration system
Add examples and documentation
Test the implementation
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