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
155 lines
4.2 KiB
Python
155 lines
4.2 KiB
Python
#!/usr/bin/env python3
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"""
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Recall API examples for Hindsight.
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Run: python examples/api/recall.py
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"""
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import os
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import requests
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HINDSIGHT_URL = os.getenv("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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from hindsight_client import Hindsight
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client = Hindsight(base_url=HINDSIGHT_URL)
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# Seed some data for recall examples
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client.retain(bank_id="my-bank", content="Alice works at Google as a software engineer")
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client.retain(bank_id="my-bank", content="Alice loves hiking on weekends")
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client.retain(bank_id="my-bank", content="Bob is a data scientist who works with Alice")
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# =============================================================================
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# Doc Examples
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# =============================================================================
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# [docs:recall-basic]
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response = client.recall(bank_id="my-bank", query="What does Alice do?")
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for r in response.results:
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print(f"- {r.text}")
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# [/docs:recall-basic]
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# [docs:recall-with-options]
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response = client.recall(
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bank_id="my-bank",
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query="What does Alice do?",
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types=["world", "experience"],
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budget="high",
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max_tokens=8000,
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trace=True,
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)
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# Access results
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for r in response.results:
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print(f"- {r.text}")
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# [/docs:recall-with-options]
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# [docs:recall-world-only]
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# Only world facts (objective information)
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world_facts = client.recall(
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bank_id="my-bank",
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query="Where does Alice work?",
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types=["world"]
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)
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# [/docs:recall-world-only]
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# [docs:recall-experience-only]
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# Only experience (conversations and events)
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experience = client.recall(
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bank_id="my-bank",
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query="What have I recommended?",
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types=["experience"]
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)
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# [/docs:recall-experience-only]
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# [docs:recall-observations-only]
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# Only observations (consolidated knowledge)
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observations = client.recall(
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bank_id="my-bank",
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query="What patterns have I learned?",
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types=["observation"]
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)
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# [/docs:recall-observations-only]
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# [docs:recall-with-observations]
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# Include observations in recall
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results = client.recall(
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bank_id="my-bank",
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query="What programming languages does Alice prefer?",
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types=["world", "experience", "observation"]
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)
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# Observations only
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observations = client.recall(
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bank_id="my-bank",
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query="What patterns have I learned?",
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types=["observation"]
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)
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# [/docs:recall-with-observations]
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# [docs:recall-token-budget]
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# Fill up to 4K tokens of context with relevant memories
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results = client.recall(bank_id="my-bank", query="What do I know about Alice?", max_tokens=4096)
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# Smaller budget for quick lookups
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results = client.recall(bank_id="my-bank", query="Alice's email", max_tokens=500)
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# [/docs:recall-token-budget]
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# [docs:recall-budget-levels]
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# Quick lookup
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results = client.recall(bank_id="my-bank", query="Alice's email", budget="low")
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# Deep exploration
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results = client.recall(bank_id="my-bank", query="How are Alice and Bob connected?", budget="high")
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# [/docs:recall-budget-levels]
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# [docs:recall-with-tags]
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# Filter recall to only memories tagged for a specific user
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response = client.recall(
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bank_id="my-bank",
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query="What feedback did the user give?",
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tags=["user:alice"],
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tags_match="any" # OR matching, includes untagged (default)
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)
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# [/docs:recall-with-tags]
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# [docs:recall-tags-strict]
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# Strict mode: only return memories that have matching tags (exclude untagged)
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response = client.recall(
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bank_id="my-bank",
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query="What did the user say?",
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tags=["user:alice"],
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tags_match="any_strict" # OR matching, excludes untagged memories
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)
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# [/docs:recall-tags-strict]
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# [docs:recall-tags-all]
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# AND matching: require ALL specified tags to be present
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response = client.recall(
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bank_id="my-bank",
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query="What bugs were reported?",
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tags=["user:alice", "bug-report"],
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tags_match="all_strict" # Memory must have BOTH tags
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)
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# [/docs:recall-tags-all]
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# =============================================================================
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# Cleanup (not shown in docs)
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# =============================================================================
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requests.delete(f"{HINDSIGHT_URL}/v1/default/banks/my-bank")
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print("recall.py: All examples passed")
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