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Add live AI checks to system health (#3155)
* Add live AI checks to system health Give super admins a dedicated AI status view with bounded liveness probes for LLMs, vector stores, pgvector, and embedding endpoints. Record sanitized failures in both the system debug log and Rails logger, and document the recommended local configuration.\n\nCloses #3145 * Fix AI health CI checks * Address AI health review feedback * Correct Ollama model preload guidance * Distinguish OpenAI-compatible providers * Make Ollama startup readiness explicit * Recognize Cloudflare AI endpoints
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@@ -4,7 +4,9 @@ class VectorStore::EmbeddableTest < ActiveSupport::TestCase
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class EmbeddableHost
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include VectorStore::Embeddable
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# Expose private methods for testing
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public :extract_text, :chunk_text, :embed, :embed_batch
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public :extract_text, :chunk_text, :embed, :embed_batch,
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:embedding_model, :embedding_dimensions, :embedding_uri_base,
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:embedding_access_token
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end
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setup do
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@@ -138,6 +140,18 @@ class VectorStore::EmbeddableTest < ActiveSupport::TestCase
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assert_raises(VectorStore::Error) { @host.embed("test text") }
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end
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test "embedding configuration delegates to the shared runtime configuration" do
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VectorStore.expects(:embedding_model).returns("model")
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VectorStore.expects(:embedding_dimensions).returns(3)
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VectorStore.expects(:embedding_uri_base).returns("https://embeddings.example.test/v1")
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VectorStore.expects(:embedding_access_token).returns("token")
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assert_equal "model", @host.embedding_model
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assert_equal 3, @host.embedding_dimensions
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assert_equal "https://embeddings.example.test/v1", @host.embedding_uri_base
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assert_equal "token", @host.embedding_access_token
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end
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# --- embed_batch ---
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test "embed_batch processes texts and returns ordered vectors" do
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