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