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ai.yaml is the source of truth (opt-in: enabled=False by default) with active model, idle-unload minutes, context override, and tool-call bound. The model catalog follows the map pattern: a bundled constant keeps the Manage tab working offline, the CDN manifest (ai/models.json + detached GPG signature) wins when reachable. GGUF downloads clone the map-extract flow — the per-file meta4 is GPG-verified once and the same bytes handed to aria2c, so the verified hash is the enforced one; unverified downloads are refused. Models land in <media>/ai/models/ (gated by the existing media_mounted download rules). Manage endpoints (catalog with RAM-tier recommendation, settings) live under /api/ai/manage/ which the future agent loop excludes from its tool catalog. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
17 lines
667 B
Python
17 lines
667 B
Python
# AI module test fixtures. The docs conftest is not star-imported by the root conftest, but the
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# AI endpoints cover docs; import its fixtures so AI tests can use doc_factory.
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import pytest
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from modules.ai.config import ai_config_context
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from modules.docs.conftest import * # noqa
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from wrolpi.api_utils import api_app
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@pytest.fixture
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def test_ai_config(test_directory, async_client):
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"""An isolated ai.yaml config for one test."""
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(test_directory / 'config').mkdir(exist_ok=True)
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config_path = test_directory / 'config/ai.yaml'
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with ai_config_context() as config:
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config.initialize(api_app.shared_ctx.ai_config)
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yield config_path
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