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model-ledger

CLAUDE.md14 starsChanged 4 months agoApache-2.0View on GitHub

Open-source model inventory and governance framework. Apache-2.0. This is an Apache-2.0 open-source project. All code must be generic and useful to any organization. Organization-specific connectors, auth, and backends go in separate packages. Examples in code, tests, and docstrings must be generic — use names like "Credit Scorecard", "feature_pipeline", "risk-team", "scoring_model". Never use organization-specific system names, team names, queue names, or person names in OSS code. The project is designed to be wrapped by downstream packages that add organization-specific connectors, auth,…

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    line 97

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CLAUDE.md

model-ledger

Open-source model inventory and governance framework. Apache-2.0.

Build & Test

.venv/bin/python -m pytest tests/ -v
.venv/bin/python -m pytest tests/test_file.py::test_name -v  # single test
.venv/bin/python -m ruff check src/ tests/
.venv/bin/python -m ruff format src/ tests/
.venv/bin/python -m mypy src/

Architecture

v0.7.2+ (current — agent protocol + connectors + change tracking)

  • src/model_ledger/connectors/sql.py — sql_connector() factory
  • src/model_ledger/connectors/rest.py — rest_connector() factory
  • src/model_ledger/connectors/github.py — github_connector() factory
  • src/model_ledger/connectors/prefect.py — prefect_connector() factory (Prefect Cloud API)
  • src/model_ledger/backends/sqlite_ledger.py — SQLiteLedgerBackend (persistent, zero-dep)
  • src/model_ledger/backends/snowflake.py — SnowflakeLedgerBackend (production)
  • src/model_ledger/backends/http.py — HttpLedgerBackend (MCP → REST API pass-through)
  • src/model_ledger/backends/json_files.py — JsonFileLedgerBackend (git-friendly)
  • src/model_ledger/sdk/ledger.py — Ledger SDK with last_seen, change_detected/change_occurred
  • src/model_ledger/tools/ — 8 agent tool functions (record, query, investigate, trace, changelog, discover, tag, list_tags)
  • src/model_ledger/mcp/server.py — MCP server (FastMCP, 8 tools + 3 resources)
  • src/model_ledger/rest/app.py — REST API (FastAPI, create_app() factory)

v0.4.x (DataNode graph)

  • src/model_ledger/core/ledger_models.py — ModelRef, Snapshot, Tag
  • src/model_ledger/sdk/ledger.py — Ledger SDK (register, record, tag, add, connect, trace, upstream, downstream)
  • src/model_ledger/graph/models.py — DataNode, DataPort (with schema discriminators)
  • src/model_ledger/graph/protocol.py — SourceConnector protocol
  • src/model_ledger/backends/ledger_protocol.py — LedgerBackend protocol
  • src/model_ledger/backends/ledger_memory.py — InMemory backend
  • src/model_ledger/adapters/sql.py — SQL parsing (extract_tables, write_tables, model_name_filters)
  • src/model_ledger/adapters/tables.py — Table-based pipeline discovery
  • src/model_ledger/adapters/cron.py — Cron expression translation

v0.3.0 (event-log paradigm)

  • Scanner protocol removed (deprecated v0.4.0, removed post-v0.7.7) — use SourceConnector + DataNode + Ledger.add()/connect()

v0.2.0 (legacy — retained for reference)

  • src/model_ledger/core/models.py — Model, ModelVersion, ComponentNode
  • src/model_ledger/sdk/inventory.py — Inventory, DraftVersion (context manager API)
  • src/model_ledger/backends/ — InventoryBackend protocol + SQLite/InMemory
  • src/model_ledger/validate/ — SR 11-7, EU AI Act, NIST AI RMF validation profiles
  • src/model_ledger/introspect/ — Plugin-based model introspection
  • src/model_ledger/cli/ — Typer CLI
  • src/model_ledger/export/ — Audit pack export

Boundary Rules

This is an Apache-2.0 open-source project. All code must be generic and useful to any organization. Organization-specific connectors, auth, and backends go in separate packages.

Examples in code, tests, and docstrings must be generic — use names like "Credit Scorecard", "feature_pipeline", "risk-team", "scoring_model". Never use organization-specific system names, team names, queue names, or person names in OSS code.

Extension Points

The project is designed to be wrapped by downstream packages that add organization-specific connectors, auth, envelope schemas, or REST wrappers. Changes that affect the public surface require coordinated updates in those packages:

  • LedgerBackend protocol (backends/ledger_protocol.py) — adding a method requires implementing it in every backend and any third-party backend.
  • Snapshot / Tag / ModelRef models (core/ledger_models.py) — schema changes propagate through all serialization paths.
  • REST API schemas (tools/schemas.py) and endpoints (rest/app.py) — version the API surface when breaking changes land.
  • MCP tool signatures (mcp/server.py) — downstream agents pin tool names and argument shapes.

Known Gaps

  • Ledger.record() accepts arbitrary payload: dict — envelope validation is the caller's responsibility. Downstream packages can layer schema validation on top.
  • HttpLedgerBackend.list_models() can't reconstruct model_hash from /query responses because ModelSummary omits created_at. get_model(model_hash) falls back to a lazy name-to-hash cache populated on successful name lookups.

Key Patterns

  • Event-log paradigm: models are identities (ModelRef), everything else is immutable Snapshots
  • Protocol-first: all extension points use @runtime_checkable Protocol (no ABCs)
  • Tool-shaped SDK: every Ledger method works as an agent tool call
  • Append-only audit trail on every mutation
  • Plugin discovery via importlib.metadata.entry_points()
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