Version 0.1.2 release

Added user-owned LLM generation config management across API, CLI, MCP, and docs.

Highlights

• Added open-data-products config generation for LLM config discovery and management.

• Users can copy the bundled config template into their own project:

  open-data-products config generation --copy-to my-generation.config.yaml
  open-data-products config generation --copy-to config/

• Folder targets create missing folders and write generation.config.yaml inside the target folder.

• Users can print the active YAML config:

  open-data-products config generation --config my-generation.config.yaml --print

• Users can validate config before generation:

  open-data-products config generation --config my-generation.config.yaml --check

• Config validation catches bad keys, unsupported provider types, invalid maxTokens, malformed field types, and secret-looking values.

• Generation docs now show real input/output workflows and explicit one-run provider/model overrides:

  open-data-products generate \
    --config my-generation.config.yaml \
    --provider groq \
    --model openai/gpt-oss-120b \
    --input source_docs/ \
    --output generated/ \
    --json

Public API Additions

• get_config()
• get_config_path()
• copy_config_template()
• print_config()
• validate_config()

Agent/MCP Additions

• get_config
• validate_config

Docs Updated

• README.md
• docs/API.md
• docs/generation.md
• llms.txt

CI/Release Workflow

• Fixed the PyPI publish workflow to upload the built dist/* artifact before publishing.