Nova AI
13717f16e5
- Replaced /home/william/.openclaw/workspace/rag with dynamic path - Replaced /home/william/.local/bin/openclaw with PATH resolution - Script now portable across different user environments - Addresses security scan findings from clawhub.com
54 lines
1.6 KiB
Bash
54 lines
1.6 KiB
Bash
#!/bin/bash
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# RAG Agent Launcher - Spawns an agent with automatic knowledge base access
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#
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# This spawns a sub-agent that has RAG automatically integrated
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# The agent will query your knowledge base before responding to questions
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# Dynamic path resolution for portability
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RAG_SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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SESSION_SPAWN_COMMAND='python3 -c "
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import sys
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import os
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sys.path.insert(0, os.path.expanduser(\"~/.openclaw/workspace/rag\"))
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# Add RAG context to system prompt
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ORIGINAL_TASK=\"$@\"
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# Search for relevant context
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from rag_system import RAGSystem
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rag = RAGSystem()
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# Find similar past conversations
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results = rag.search(ORIGINAL_TASK, n_results=3)
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if results:
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context = \"\\n=== RELEVANT CONTEXT FROM KNOWLEDGE BASE ===\\n\"
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for i, r in enumerate(results, 1):
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meta = r.get(\"metadata\", {})
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text = r.get(\"text\", \"\")[:500]
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doc_type = meta.get(\"type\", \"unknown\")
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source = meta.get(\"source\", \"unknown\")
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context += f\"\\n[{doc_type.upper()} - {source}]\\n{text}\\n\"
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else:
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context = \"\"
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# Respond with context-aware task
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print(f\"\"\"{context}
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=== CURRENT TASK ===
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{ORIGINAL_TASK}
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Use the context above if relevant to help answer the question.\"
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\"\")"
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# Spawn the agent with RAG context
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# Use 'openclaw' from PATH if available, fallback to local installation
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if command -v openclaw >/dev/null 2>&1; then
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openclaw sessions spawn "$SESSION_SPAWN_COMMAND"
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elif [ -f "$HOME/.local/bin/openclaw" ]; then
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"$HOME/.local/bin/openclaw" sessions spawn "$SESSION_SPAWN_COMMAND"
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else
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echo "Error: openclaw command not found in PATH or ~/.local/bin/" >&2
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exit 1
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fi |