Add TruthStream MVP: backend pipeline, API, CLI, React frontend, providers, and tests

[Gitcoder12]

Motivation

• Provide a minimal, deterministic MVP for evidence-centered claim verification that runs locally and in CI without external model keys.
• Offer a clear, extensible architecture that separates claim extraction, evidence retrieval, scoring, and presentation so remote providers or NLP models can be swapped in later.

Description

• Add a new Python package truthstream under src/ implementing domain models (models.py), deterministic claim extraction (extraction.py), evidence retrieval abstractions and an in-memory retriever (evidence.py), real-world provider integrations with caching (providers.py), confidence scoring (scoring.py), a composable pipeline (pipeline.py), runtime settings (settings.py), a FastAPI app (api.py), and a CLI entrypoint (cli.py).
• Introduce a React + TypeScript + Tailwind frontend scaffold under frontend/ including pages, components, types, build config, and docs for local development and the Vite proxy.
• Add packaging and developer config via pyproject.toml, a top-level README.md expanded with quickstart instructions, and a .gitignore tuned for Python and the frontend.
• Include automated tests covering the API, pipeline behavior, and provider mappings under tests/, and small utilities for local caching and retriever composition.

Testing

• Ran pytest against the new test suite including tests/test_api.py, tests/test_pipeline.py, and tests/test_providers.py, and all tests passed.
• The FastAPI health and verify endpoints were exercised via fastapi.testclient in tests and returned expected JSON payloads.
• Provider unit tests simulated remote responses via injected openers and verified mapping to Evidence objects and caching behavior.

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