Enhance retrieval scoring with adaptive freshness mix and specificity… #14

	name: ci

	on:
	push:
	branches: [main, master]
	pull_request:

	jobs:
	test:
	runs-on: ubuntu-latest
	strategy:
	matrix:
	python-version: ["3.11", "3.12"]
	steps:
	- uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install package
	run: pip install -e ".[embeddings]"

	- name: Run core tests
	run: python tests/test_voltmem.py

	- name: VoltMem end-to-end eval (escalation + retrieval)
	run: python experiments/voltmem_eval.py

	- name: Run client tests
	run: python tests/test_client.py

	- name: Run vector index tests
	run: python tests/test_vector_index.py

	- name: Run classifier tests
	run: python tests/test_classifiers.py

	- name: Custom classifier demo smoke test
	run: python examples/custom_classifier.py

	- name: Chat app demo smoke test
	run: python -m examples.chat_app --demo --echo

	- name: Contradiction demo smoke test
	run: python examples/contradiction_demo.py

	- name: Mem0-style comparison smoke test
	run: python experiments/mem0_comparison.py

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