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Add collaborative AI agent codespace with open source models#4

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Copilot wants to merge 6 commits intomainfrom
copilot/configure-agent-codespace
Open

Add collaborative AI agent codespace with open source models#4
Copilot wants to merge 6 commits intomainfrom
copilot/configure-agent-codespace

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Copilot AI commented Jan 27, 2026

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

    • Add message inbox/outbox
    • Add ask_agent() method for questions
    • Add send_message() for direct communication
  • Update AgentOrchestrator to facilitate inter-agent communication

    • Add message routing between agents
    • Add agent query handling
    • Track conversation threads
    • Enable async agent-to-agent calls
  • Add inter-agent communication tools to agent configs

    • Add "ask_agent" tool to all agents
    • Update system prompts to mention agent communication
    • Configure which agents can talk to which
  • Create conversation tracking system

    • Message history between agents
    • Conversation threading
    • Context preservation across agent calls
  • Update collaboration system

    • Enable agents to initiate conversations
    • Allow agents to request help proactively
    • Add conversation visualization
  • Add examples and documentation

    • Example of agent-to-agent queries
    • Update documentation
    • Add tests/demos
  • Test the implementation

    • Test agent asking another agent
    • Test multi-agent conversations
    • Verify context preservation
Original prompt

Cece lets ensure that we really configure an agent codespace for this and additionally lets fork open source ai models literally all of them that are open source no restrictions and ok for commercial and create actual agents in this github that can work with us. so the cloudflare workers etc. the goal is we can all chat together giant group message and coding project haha


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Copilot AI and others added 4 commits January 27, 2026 20:55
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>
Copilot AI changed the title [WIP] Configure agent codespace for collaborative project Add collaborative AI agent codespace with open source models Jan 27, 2026
Co-authored-by: blackboxprogramming <118287761+blackboxprogramming@users.noreply.github.com>
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💡 Codex Review

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Reviewed commit: dc8b207742

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Comment on lines +160 to +164
pattern = trigger.get("pattern", "")
target = trigger.get("target_agent")

if pattern and target and pattern.lower() in task.lower():
if target not in collaborators:

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P2 Badge 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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Comment on lines +75 to +79
return Response.json(result, {
headers: {
'Access-Control-Allow-Origin': '*',
},
});

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P2 Badge 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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Comment on lines +13 to +16
# Add parent to path
sys.path.insert(0, str(Path(__file__).parent.parent))

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.

Suggested change
# 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

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Comment on lines +47 to +75
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

# 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.

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Comment on lines +137 to +139
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.

Suggested change
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.

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Comment on lines +22 to +31
# 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

# 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'.

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Comment on lines +72 to +86
# 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)"
) &

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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.

Suggested change
# 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')"

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Comment on lines +165 to +173
## Integration with Cloudflare Workers

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.

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Comment on lines +115 to +137
```bash
python -m agents.orchestrator start
```

### Chat with Specific Agent
```bash
# Code-related task
python -m agents.chat --agent coder "Refactor this function"

# Design task
python -m agents.chat --agent designer "Create a color palette"

# Ops task
python -m agents.chat --agent ops "Deploy to production"
```

### Group Collaboration
```bash
# Start a collaborative session
python -m agents.collaborate \
--agents coder,designer,ops \
--task "Build a new dashboard feature"
```
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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.

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Comment on lines +142 to +143
cost_tracking:
enabled: true
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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.

Suggested change
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

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if (url.pathname === '/ask' && request.method === 'POST') {
try {
const body = await request.json();
const { task, context } = body;
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Unused variable context.

Suggested change
const { task, context } = body;
const { task } = body;

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import asyncio
import yaml
from pathlib import Path
from typing import Dict, List, Optional, Any
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Import of 'Any' is not used.

Suggested change
from typing import Dict, List, Optional, Any
from typing import Dict, List, Optional

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