5b52a84fff
This commit renames the terminology across the entire codebase: - "mental models" (fact_type='mental_model' in memory_units) → "observations" - "reflections" table (stored reflect responses) → "mental_models" Changes include: - Database migration to rename tables, indexes, and constraints - API endpoints: /reflections → /mental-models, /mental-models → /observations - Config: ENABLE_MENTAL_MODELS → ENABLE_OBSERVATIONS - Response models and Pydantic classes - Reflect agent tools and prompts - Control plane UI and routes - Documentation and examples - Regenerated OpenAPI spec and client SDKs (Python, TypeScript) - Rust CLI: reflection commands → mental-model commands - LiteLLM: updated fact_types documentation
63 lines
2 KiB
Bash
Executable file
63 lines
2 KiB
Bash
Executable file
#!/bin/bash
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# Reflect API examples for Hindsight CLI
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# Run: bash examples/api/reflect.sh
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set -e
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HINDSIGHT_URL="${HINDSIGHT_API_URL:-http://localhost:8888}"
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# =============================================================================
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# Setup (not shown in docs)
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# =============================================================================
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hindsight memory retain my-bank "Alice works at Google as a software engineer"
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hindsight memory retain my-bank "Alice has been working there for 5 years"
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# =============================================================================
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# Doc Examples
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# =============================================================================
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# [docs:reflect-basic]
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hindsight memory reflect my-bank "What do you know about Alice?"
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# [/docs:reflect-basic]
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# [docs:reflect-with-context]
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hindsight memory reflect my-bank "Should I learn Python?" --context "career advice"
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# [/docs:reflect-with-context]
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# [docs:reflect-high-budget]
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hindsight memory reflect my-bank "Summarize my week" --budget high
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# [/docs:reflect-high-budget]
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# [docs:reflect-structured-output]
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# First, create a JSON schema file schema.json:
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cat > schema.json << 'EOF'
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{
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"type": "object",
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"properties": {
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"recommendation": {"type": "string"},
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"confidence": {"type": "string", "enum": ["low", "medium", "high"]},
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"key_factors": {"type": "array", "items": {"type": "string"}}
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},
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"required": ["recommendation", "confidence", "key_factors"]
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}
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EOF
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# Then use the --schema flag:
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hindsight memory reflect hiring-team \
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"Should we hire Alice for the ML team lead position?" \
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--schema schema.json
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# Cleanup the temporary schema file
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rm -f schema.json
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# [/docs:reflect-structured-output]
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# =============================================================================
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# Cleanup (not shown in docs)
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# =============================================================================
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curl -s -X DELETE "${HINDSIGHT_URL}/v1/default/banks/my-bank" > /dev/null
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echo "reflect.sh: All examples passed"
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