fleet-memory/hindsight-docs/examples/api/recall.py
Nicolò Boschi 0bb5ca4caf
feat: filter graph memories with tags (#431)
* feat: filter graph memories with tags

* fix(cli): pass new q/tags/tags_match args to get_graph

* docs: use CodeSnippet for tags_match examples in recall.mdx
2026-02-25 10:31:40 +01:00

281 lines
8.7 KiB
Python

#!/usr/bin/env python3
"""
Recall API examples for Hindsight.
Run: python examples/api/recall.py
"""
import os
import requests
HINDSIGHT_URL = os.getenv("HINDSIGHT_API_URL", "http://localhost:8888")
# =============================================================================
# Setup (not shown in docs)
# =============================================================================
from hindsight_client import Hindsight
client = Hindsight(base_url=HINDSIGHT_URL)
# Seed some data for recall examples
client.retain(bank_id="my-bank", content="Alice works at Google as a software engineer")
client.retain(bank_id="my-bank", content="Alice loves hiking on weekends")
client.retain(bank_id="my-bank", content="Bob is a data scientist who works with Alice")
# =============================================================================
# Doc Examples
# =============================================================================
# [docs:recall-basic]
response = client.recall(bank_id="my-bank", query="What does Alice do?")
# response.results is a list of RecallResult objects, each with:
# - id: fact ID
# - text: the extracted fact
# - type: "world", "experience", or "observation"
# - context: context label set during retain
# - metadata: dict[str, str] set during retain
# - tags: list of tags
# - entities: list of entity name strings linked to this fact
# - occurred_start: ISO datetime of when the event started
# - occurred_end: ISO datetime of when the event ended
# - mentioned_at: ISO datetime of when the fact was retained
# - document_id: document this fact belongs to
# - chunk_id: chunk this fact was extracted from
# Example response.results:
# [
# RecallResult(id="a1b2...", text="Alice works at Google as a software engineer", type="world", context="career", ...),
# RecallResult(id="c3d4...", text="Alice got promoted to senior engineer", type="experience", occurred_start="2024-03-15T00:00:00Z", ...),
# ]
# [/docs:recall-basic]
# [docs:recall-with-options]
response = client.recall(
bank_id="my-bank",
query="What does Alice do?",
types=["world", "experience"],
budget="high",
max_tokens=8000,
trace=True,
)
# Access results
for r in response.results:
print(f"- {r.text}")
# [/docs:recall-with-options]
# [docs:recall-world-only]
# Only world facts (objective information)
world_facts = client.recall(
bank_id="my-bank",
query="Where does Alice work?",
types=["world"]
)
# [/docs:recall-world-only]
# [docs:recall-experience-only]
# Only experience (conversations and events)
experience = client.recall(
bank_id="my-bank",
query="What have I recommended?",
types=["experience"]
)
# [/docs:recall-experience-only]
# [docs:recall-observations-only]
# Only observations (consolidated knowledge)
observations = client.recall(
bank_id="my-bank",
query="What patterns have I learned?",
types=["observation"]
)
# [/docs:recall-observations-only]
# [docs:recall-with-observations]
# Include observations in recall
results = client.recall(
bank_id="my-bank",
query="What programming languages does Alice prefer?",
types=["world", "experience", "observation"]
)
# Observations only
observations = client.recall(
bank_id="my-bank",
query="What patterns have I learned?",
types=["observation"]
)
# [/docs:recall-with-observations]
# [docs:recall-source-facts]
# Recall observations and include their source facts
response = client.recall(
bank_id="my-bank",
query="What patterns have I learned about Alice?",
types=["observation"],
include_source_facts=True,
max_source_facts_tokens=4096,
)
for obs in response.results:
print(f"Observation: {obs.text}")
if obs.source_fact_ids and response.source_facts:
print(" Derived from:")
for fact_id in obs.source_fact_ids:
fact = response.source_facts.get(fact_id)
if fact:
print(f" - [{fact.type}] {fact.text}")
# [/docs:recall-source-facts]
# [docs:recall-token-budget]
# Fill up to 4K tokens of context with relevant memories
results = client.recall(bank_id="my-bank", query="What do I know about Alice?", max_tokens=4096)
# Smaller budget for quick lookups
results = client.recall(bank_id="my-bank", query="Alice's email", max_tokens=500)
# [/docs:recall-token-budget]
# [docs:recall-budget-levels]
# Quick lookup
results = client.recall(bank_id="my-bank", query="Alice's email", budget="low")
# Deep exploration
results = client.recall(bank_id="my-bank", query="How are Alice and Bob connected?", budget="high")
# [/docs:recall-budget-levels]
# [docs:recall-with-tags]
# Filter recall to only memories tagged for a specific user
response = client.recall(
bank_id="my-bank",
query="What feedback did the user give?",
tags=["user:alice"],
tags_match="any" # OR matching, includes untagged (default)
)
# [/docs:recall-with-tags]
# [docs:recall-tags-strict]
# Strict mode: only return memories that have matching tags (exclude untagged)
response = client.recall(
bank_id="my-bank",
query="What did the user say?",
tags=["user:alice"],
tags_match="any_strict" # OR matching, excludes untagged memories
)
# [/docs:recall-tags-strict]
# [docs:recall-tags-all]
# AND matching: require ALL specified tags to be present
response = client.recall(
bank_id="my-bank",
query="What bugs were reported?",
tags=["user:alice", "bug-report"],
tags_match="all_strict" # Memory must have BOTH tags
)
# [/docs:recall-tags-all]
# [docs:recall-tags-any]
response = client.recall(
bank_id="my-bank",
query="communication preferences",
tags=["user:alice"],
tags_match="any", # default
)
# Returns:
# [match] "Alice prefers async communication" — has "user:alice"
# [no match] "Bob dislikes long meetings" — no overlap with ["user:alice"]
# [match] "Team uses Slack for announcements" — has "user:alice"
# [match] "Company policy: no meetings on Fridays" — untagged, included by default
# [/docs:recall-tags-any]
# [docs:recall-tags-any-strict]
response = client.recall(
bank_id="my-bank",
query="communication preferences",
tags=["user:alice"],
tags_match="any_strict",
)
# Returns:
# [match] "Alice prefers async communication" — has "user:alice"
# [no match] "Bob dislikes long meetings" — no overlap with ["user:alice"]
# [match] "Team uses Slack for announcements" — has "user:alice"
# [no match] "Company policy: no meetings on Fridays" — untagged, excluded
# [/docs:recall-tags-any-strict]
# [docs:recall-tags-all-mode]
response = client.recall(
bank_id="my-bank",
query="communication tools",
tags=["user:alice", "team"],
tags_match="all",
)
# Returns:
# [no match] "Alice prefers async communication" — missing "team"
# [no match] "Bob dislikes long meetings" — missing both tags
# [match] "Team uses Slack for announcements" — has both "user:alice" and "team"
# [match] "Company policy: no meetings on Fridays" — untagged, included by default
# [/docs:recall-tags-all-mode]
# [docs:recall-tags-all-strict]
response = client.recall(
bank_id="my-bank",
query="communication tools",
tags=["user:alice", "team"],
tags_match="all_strict",
)
# Returns:
# [no match] "Alice prefers async communication" — missing "team"
# [no match] "Bob dislikes long meetings" — missing both tags
# [match] "Team uses Slack for announcements" — has both "user:alice" and "team"
# [no match] "Company policy: no meetings on Fridays" — untagged, excluded
# [/docs:recall-tags-all-strict]
# =============================================================================
# Legacy snippets for v0.3 docs (kept for backward compatibility)
# =============================================================================
# [docs:recall-opinions-only]
# Legacy: opinions replaced by observations in v0.4+
# Only retrieve opinions (beliefs and preferences)
opinions = client.recall(
bank_id="my-bank",
query="What are my preferences?",
types=["opinion"]
)
# [/docs:recall-opinions-only]
# [docs:recall-include-entities]
# Legacy: entity summaries replaced by observations in v0.4+
# Include entity summaries in recall results
response = client.recall(
bank_id="my-bank",
query="What do I know about Alice?",
include_entities=True,
max_entity_tokens=500
)
# [/docs:recall-include-entities]
# =============================================================================
# Cleanup (not shown in docs)
# =============================================================================
requests.delete(f"{HINDSIGHT_URL}/v1/default/banks/my-bank")
print("recall.py: All examples passed")