fleet-memory/hindsight-api-slim/tests/test_source_facts_tokens.py
Nicolò Boschi 15ea23d5d6
feat: introduce hindsight-api-slim and hindsight-all-slim packages (#560)
* feat: introduce hindsight-api-slim and hindsight-all-slim packages

Closes #552

- Move all source code from hindsight-api/ to new hindsight-api-slim/
- hindsight-api-slim has heavy ML deps (torch, sentence-transformers,
  transformers, einops, flashrank, mlx, mlx-lm, safetensors) and
  pg0-embedded as optional extras: [local-ml], [embedded-db], [all]
- hindsight-api becomes a zero-code meta-package depending on
  hindsight-api-slim[all] for full backward compatibility
- Add hindsight-all-slim meta-package: hindsight-api-slim + client + embed
- hindsight-all updated to depend on hindsight-api-slim[all]
- pg0.py: lazy-import pg0 with clear ImportError pointing to [embedded-db]
- Dockerfile: replace sed hack with proper uv sync --extra flags
- Update release.yml, test.yml, lint.sh, release.sh, CLAUDE.md and
  all path references throughout the repo

* refactor: rename hindsight/ directory to hindsight-all/

* docs: document hindsight-api-slim and hindsight-all-slim package variants

Add package variants table and extras explanation to installation.md

* docs: remove emojis from installation.md, use professional tone

* docs: link Docker slim variant to pip package variants section

* docs: consolidate Docker image variants into single table

* ci: fix working-directory paths after package restructure

- Replace all hindsight-api → hindsight-api-slim in test.yml
- Replace hindsight → hindsight-all in test.yml
- Add --extra embedded-db to test-embed API install step

* ci: add local-ml and embedded-db extras to API sync steps

These extras were previously implicit in the old hindsight-api package
(which bundled everything). Now that hindsight-api-slim uses optional
extras, we must explicitly request local-ml and embedded-db in CI.

* ci: add API install step with embedded-db to test-embed smoke test

The smoke test starts hindsight-api as a daemon, which requires pg0-embedded.
Add a dedicated install step for hindsight-api-slim with embedded-db extra
so the daemon can start successfully.

* ci: remove --no-install-project when using optional extras

When --no-install-project is combined with --extra, the optional deps
are not installed because extras require the project to be active.
Remove --no-install-project from steps that need local-ml or embedded-db.

* ci: fix ordering of uv sync steps to preserve optional extras

When uv sync runs for a different workspace member, it removes optional
extras installed for other members. Fix by always running extra-requiring
API sync last, after other workspace member syncs.

Also remove --no-install-project from embedded-db sync in test-embed,
as --no-install-project prevents optional extras from being active.

* ci: add local-ml extra to test-embed API install for smoke test

The smoke test starts the full API server which needs sentence-transformers
for local embeddings (default provider). Add local-ml extra to the install.

* ci: simplify extras with --all-extras and add slim pip smoke test

- Replace explicit --extra local-ml --extra embedded-db with --all-extras
  for cleaner, more maintainable sync steps
- Add test-pip-slim job: tests hindsight-api-slim[embedded-db] without
  local ML models, using Cohere for embeddings/reranking (mirrors Docker
  slim smoke test approach)

* ci: simplify slim smoke test to health check only (mirrors Docker test)
2026-03-13 13:50:03 +01:00

170 lines
7 KiB
Python

"""Tests for source_facts token limiting in recall.
Covers:
- max_source_facts_tokens: total token budget across all source facts
- max_source_facts_tokens_per_observation: per-observation cap
Both parameters are tested at the recall_async level and verified to produce
fewer source facts when the budget is tight vs. unlimited.
"""
import pytest
from hindsight_api.config import _get_raw_config
from hindsight_api.engine.memory_engine import Budget
@pytest.fixture(autouse=True)
def enable_observations():
config = _get_raw_config()
original = config.enable_observations
config.enable_observations = True
yield
config.enable_observations = original
async def _setup_bank_with_observations(memory, bank_id, request_context):
"""Retain several memories and trigger consolidation to produce observations with source facts."""
contents = [
"Alice is a software engineer who loves Python programming.",
"Alice has been working at TechCorp for 5 years.",
"Alice recently completed a machine learning certification course.",
"Alice mentors junior developers on the team.",
"Alice prefers functional programming patterns in her code.",
]
for content in contents:
await memory.retain_async(
bank_id=bank_id,
content=content,
request_context=request_context,
)
await memory.run_consolidation(bank_id=bank_id, request_context=request_context)
class TestRecallSourceFactsPerObservationCap:
@pytest.mark.asyncio
async def test_per_observation_cap_reduces_source_facts(self, memory, request_context):
"""A tight per-observation token cap should return fewer source facts than unlimited."""
bank_id = "test-sf-per-obs-cap"
try:
await _setup_bank_with_observations(memory, bank_id, request_context)
result_limited = await memory.recall_async(
bank_id=bank_id,
query="Alice engineer",
fact_type=["observation"],
max_tokens=4096,
include_source_facts=True,
max_source_facts_tokens_per_observation=1, # Effectively cuts all source facts
budget=Budget.MID,
request_context=request_context,
)
result_unlimited = await memory.recall_async(
bank_id=bank_id,
query="Alice engineer",
fact_type=["observation"],
max_tokens=4096,
include_source_facts=True,
max_source_facts_tokens_per_observation=-1,
budget=Budget.MID,
request_context=request_context,
)
unlimited_count = len(result_unlimited.source_facts) if result_unlimited.source_facts else 0
limited_count = len(result_limited.source_facts) if result_limited.source_facts else 0
if unlimited_count > 0:
assert limited_count <= unlimited_count, (
f"Per-observation cap should yield fewer source facts ({limited_count} <= {unlimited_count})"
)
finally:
await memory.delete_bank(bank_id, request_context=request_context)
@pytest.mark.asyncio
async def test_per_observation_cap_does_not_mix_between_observations(self, memory, request_context):
"""Each observation's source facts are capped independently — not as a shared pool."""
bank_id = "test-sf-per-obs-independent"
try:
await _setup_bank_with_observations(memory, bank_id, request_context)
# With a generous per-observation limit each observation can have facts;
# with a global limit of 1 token the first observation would consume the whole budget.
result_per_obs = await memory.recall_async(
bank_id=bank_id,
query="Alice engineer",
fact_type=["observation"],
max_tokens=4096,
include_source_facts=True,
max_source_facts_tokens=4096, # large global budget
max_source_facts_tokens_per_observation=512, # reasonable per-obs limit
budget=Budget.MID,
request_context=request_context,
)
# Should not raise; source_facts may be populated for multiple observations
assert result_per_obs.source_facts is not None or len(result_per_obs.results) == 0
finally:
await memory.delete_bank(bank_id, request_context=request_context)
class TestRecallSourceFactsTotalBudget:
@pytest.mark.asyncio
async def test_total_budget_limits_source_facts(self, memory, request_context):
"""A tight total token budget should return fewer source facts than unlimited."""
bank_id = "test-sf-total-budget"
try:
await _setup_bank_with_observations(memory, bank_id, request_context)
result_tight = await memory.recall_async(
bank_id=bank_id,
query="Alice engineer",
fact_type=["observation"],
max_tokens=4096,
include_source_facts=True,
max_source_facts_tokens=1, # Effectively cuts all source facts
budget=Budget.MID,
request_context=request_context,
)
result_unlimited = await memory.recall_async(
bank_id=bank_id,
query="Alice engineer",
fact_type=["observation"],
max_tokens=4096,
include_source_facts=True,
max_source_facts_tokens=-1,
budget=Budget.MID,
request_context=request_context,
)
unlimited_count = len(result_unlimited.source_facts) if result_unlimited.source_facts else 0
tight_count = len(result_tight.source_facts) if result_tight.source_facts else 0
if unlimited_count > 0:
assert tight_count <= unlimited_count, (
f"Total budget should yield fewer source facts ({tight_count} <= {unlimited_count})"
)
finally:
await memory.delete_bank(bank_id, request_context=request_context)
@pytest.mark.asyncio
async def test_no_source_facts_without_flag(self, memory, request_context):
"""source_facts should be None when include_source_facts is not set."""
bank_id = "test-sf-no-flag"
try:
await _setup_bank_with_observations(memory, bank_id, request_context)
result = await memory.recall_async(
bank_id=bank_id,
query="Alice engineer",
fact_type=["observation"],
max_tokens=4096,
include_source_facts=False, # default
budget=Budget.MID,
request_context=request_context,
)
assert result.source_facts is None or len(result.source_facts) == 0
finally:
await memory.delete_bank(bank_id, request_context=request_context)