15ea23d5d6
* 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)
37 lines
1.5 KiB
Python
37 lines
1.5 KiB
Python
"""Pydantic models for directives."""
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from datetime import datetime, timezone
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from uuid import UUID
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from pydantic import BaseModel, Field
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class Directive(BaseModel):
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"""A directive is a hard rule injected into prompts.
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Directives are user-defined rules that guide agent behavior. Unlike mental models
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which are automatically consolidated from memories, directives are explicit
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instructions that are always included in relevant prompts.
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Examples:
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- "Always respond in formal English"
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- "Never share personal data with third parties"
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- "Prefer conservative investment recommendations"
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"""
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id: UUID = Field(description="Unique identifier")
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bank_id: str = Field(description="Bank this directive belongs to")
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name: str = Field(description="Human-readable name")
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content: str = Field(description="The directive text to inject into prompts")
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priority: int = Field(default=0, description="Higher priority directives are injected first")
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is_active: bool = Field(default=True, description="Whether this directive is currently active")
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tags: list[str] = Field(default_factory=list, description="Tags for filtering")
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created_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc), description="When this directive was created"
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)
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updated_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc), description="When this directive was last updated"
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)
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class Config:
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from_attributes = True
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