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Self Agent Execution version plans

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Cole Medin 2025-02-28 14:03:23 -06:00
parent a8f6b10bc9
commit 53cfd5e6a7
2 changed files with 42 additions and 12 deletions
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9
README.md
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@ -138,10 +138,11 @@ There are a good amount of steps for the setup but it goes quick!
- V6: Tool Library and Example Integration - Pre-built external tool and agent examples incorporation
- V7: LangGraph Documentation - Allow Archon to build Pydantic AI AND LangGraph agents
- V8: Self-Feedback Loop - Automated validation and error correction
- V9: Multi-Framework Support - Framework-agnostic agent generation
- V10: Autonomous Framework Learning - Self-updating framework adapters
- V11: Advanced RAG Techniques - Enhanced retrieval and incorporation of framework documentation
- V12: MCP Agent Marketplace - Integrating Archon agents as MCP servers and publishing to marketplaces
- V9: Self Agent Execution - Testing and iterating on agents in an isolated environment
- V10: Multi-Framework Support - Framework-agnostic agent generation
- V11: Autonomous Framework Learning - Self-updating framework adapters
- V12: Advanced RAG Techniques - Enhanced retrieval and incorporation of framework documentation
- V13: MCP Agent Marketplace - Integrating Archon agents as MCP servers and publishing to marketplaces
### Future Integrations
- LangSmith

45
future_enhancements.py
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@ -595,8 +595,37 @@ def future_enhancements_tab():
7. Repeat until validation passes
""")
# V9: Multi-Framework Support
with st.expander("V9: Multi-Framework Support"):
# V9: Self Agent Execution
with st.expander("V9: Self Agent Execution"):
st.write("Testing and iterating on agents in an isolated environment")
st.write("#### Agent Execution Process")
execution_process = [
{"phase": "Sandbox Creation", "description": "Set up isolated environment using Local AI package"},
{"phase": "Agent Deployment", "description": "Load the generated agent into the testing environment"},
{"phase": "Test Execution", "description": "Run the agent against predefined scenarios and user queries"},
{"phase": "Performance Monitoring", "description": "Track response quality, latency, and resource usage"},
{"phase": "Error Detection", "description": "Identify runtime errors and logical inconsistencies"},
{"phase": "Iterative Improvement", "description": "Refine agent based on execution results"}
]
for i, phase in enumerate(execution_process):
st.write(f"**{i+1}. {phase['phase']}:** {phase['description']}")
st.write("#### Local AI Package Integration")
st.markdown("""
The [Local AI package](https://github.com/coleam00/local-ai-packaged) provides a containerized environment for:
- Running LLMs locally for agent testing
- Simulating API calls and external dependencies
- Monitoring agent behavior in a controlled setting
- Collecting performance metrics for optimization
""")
st.info("This enables Archon to test and refine agents in a controlled environment before deployment, significantly improving reliability and performance through empirical iteration.")
# V10: Multi-Framework Support
with st.expander("V10: Multi-Framework Support"):
st.write("Framework-agnostic agent generation")
frameworks = {
@ -617,8 +646,8 @@ def future_enhancements_tab():
st.dataframe(df_data, use_container_width=True)
# V10: Autonomous Framework Learning
with st.expander("V10: Autonomous Framework Learning"):
# V11: Autonomous Framework Learning
with st.expander("V11: Autonomous Framework Learning"):
st.write("Self-learning from mistakes and continuous improvement")
st.write("#### Self-Improvement Process")
@ -637,8 +666,8 @@ def future_enhancements_tab():
st.info("This enables Archon to stay updated with the latest AI frameworks without manual intervention.")
# V11: Advanced RAG Techniques
with st.expander("V11: Advanced RAG Techniques"):
# V12: Advanced RAG Techniques
with st.expander("V12: Advanced RAG Techniques"):
st.write("Enhanced retrieval and incorporation of framework documentation")
st.write("#### Advanced RAG Components")
@ -681,8 +710,8 @@ def future_enhancements_tab():
st.info("This enables Archon to more effectively retrieve and incorporate framework documentation, leading to more accurate and contextually appropriate agent generation.")
# V12: MCP Agent Marketplace
with st.expander("V12: MCP Agent Marketplace"):
# V13: MCP Agent Marketplace
with st.expander("V13: MCP Agent Marketplace"):
st.write("Integrating Archon agents as MCP servers and publishing to marketplaces")
st.write("#### MCP Integration Process")