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v0.1.3

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@therealonenak therealonenak released this 05 Jul 20:14
v0.1.3
3f2a9f2

First tagged release. seedloom introspects a live Postgres schema and uses an LLM to generate realistic, referentially-valid seed data - foreign keys are structurally constrained to real inserted parent values, never invented.

Highlights

  • pgvector support - detects vector, halfvec, and sparsevec columns and their dimensions automatically, filling them with unit-length vectors so indexes and similarity queries work out of the box. No extra dependency required.
  • MCP server - new seedloom-mcp console script (install via pip install seedloom[mcp]) exposes three tools for MCP clients like Claude Code and Cursor: list_providers, introspect_schema, and seed. Provider API keys are read only from the server's own environment, never accepted as a tool argument, so secrets never pass through the calling agent's context.
  • Shared pipeline - CLI and MCP server now run through the same orchestration code (seedloom/pipeline.py), so behavior stays consistent between both interfaces.

Fixes

  • Fixed a real bug in the integration test suite: FakeCursor was missing rowcount, which was masking a second bug where the FK-linking test never passed needed_columns into insert_rows() - meaning the test's core assertions had never actually executed since it was written.
  • Hardened the inserter, generator, introspect, and provider modules around rate limits.

Project infrastructure

  • Added CI (GitHub Actions running pytest across Python 3.10–3.12)
  • Added CONTRIBUTING.md, CODE_OF_CONDUCT.md, SECURITY.md
  • Added issue and PR templates

Install

```bash
pip install seedloom[anthropic] # or [openai], [gemini], [ollama], [mcp], [all]
```

Full changelog: https://github.com/therealonenak/seedloom/commits/v0.1.3

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