Add Streamlit UI, M9 feedback wiring, retrieval scoping, and two-tier… #1

	name: Eval Gate (M3)

	on:
	push:
	paths:
	- "prompts/**"
	- "agents/**"
	- "evaluation/**"
	pull_request:
	paths:
	- "prompts/**"
	- "agents/**"
	- "evaluation/**"

	jobs:
	eval-gate:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4

	- uses: actions/setup-python@v5
	with:
	python-version: "3.11"
	cache: pip

	- name: Install dependencies
	run: pip install -r requirements.txt

	- name: Run evaluation suite
	env:
	ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
	OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
	LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
	LANGSMITH_TRACING: "true"
	LANGSMITH_PROJECT: document-rag-analysis-ci
	run: python -m evaluation.eval_gate

	- name: Upload score report
	if: always()
	uses: actions/upload-artifact@v4
	with:
	name: eval-scores
	path: eval_scores.json

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