Add AI Resolver interface and Anthropic backend#148
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Introduces clicker/internal/ai — a model-agnostic Resolver interface with an Anthropic Messages API implementation. Prompt caching is enabled via cache_control markers (ephemeral) on the image block for vision requests and on the text block for text-only requests, reducing input token cost on repeated calls within the same page context. API key is read from VIBIUM_ANTHROPIC_API_KEY. ModelHaiku and ModelSonnet constants are exported for use by the locator pipeline. A test-only constructor (NewAnthropicResolverForTest) accepts a custom base URL so unit tests run against httptest.Server without hitting the real API. The integration test is skipped unless the env var is set. This is the foundation for the AI-powered locator pipeline (PR 1 of 8). See: VibiumDev#138
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Summary
clicker/internal/ai— a model-agnosticResolverinterface with a singleResolve(ctx, Request) (Response, error)methodAnthropicResolverimplementation calls the Anthropic Messages API via standardnet/http(no SDK dependency)cache_control: ephemeral— on the image block for vision requests, on the text block for text-only requests (~90% input token cost reduction on repeated calls within the same page context)VIBIUM_ANTHROPIC_API_KEY, consistent with existingVIBIUM_env var conventionModelHaikuandModelSonnetconstants exported for use by the locator pipelineTest plan
go test ./clicker/internal/ai/...— 5 unit tests pass (mock + httptest server, no API key needed)go test ./clicker/internal/ai/... -run Integration -v— real Anthropic API call verified (Haiku, 1.37s)go build ./clicker/internal/...compiles cleanContext
This is PR 1 of 8 for the AI-powered locator feature.
Architecture discussion: #138