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Policies are composed using Effect's policy combinators, allowing fine-grained control over retry behavior without imperative retry loops or setTimeout callbacks.","intents":["I want to automatically retry failed API calls with exponential backoff","I need to respect Anthropic's rate limits and backoff headers","I want to configure retry behavior declaratively without imperative loops"],"best_for":["Production systems requiring resilience to transient API failures","High-volume applications needing rate-limit-aware retry strategies","Teams wanting declarative, composable error recovery policies"],"limitations":["Jitter calculation adds ~1-5ms per retry decision","No built-in circuit breaker pattern — requires external Effect-based implementation","Retry state is not persisted across process restarts","Limited to Anthropic API error codes — custom error classification requires extension"],"requires":["Effect-TS 2.0+","TypeScript 4.7+","Understanding of Effect's Schedule and policy types"],"input_types":["retry configuration (max attempts, base delay, max delay)","API error responses with rate-limit headers"],"output_types":["Effect<Message, ApiError>","retry attempt metadata (attempt number, delay)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-effect-ai-anthropic__cap_6","uri":"capability://automation.workflow.timeout.enforcement.with.graceful.degradation.and.cancellation","name":"timeout enforcement with graceful degradation and cancellation","description":"Enforces timeouts on Anthropic API calls using Effect's timeout primitives, allowing graceful degradation (fallback to cached responses or partial results) or cancellation of long-running requests. 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Batch results are collected with guaranteed ordering and error handling, allowing partial success scenarios where some requests fail.","intents":["I want to process multiple prompts in parallel with controlled concurrency","I need to handle partial failures in batch operations without losing successful results","I want to limit concurrent API calls to respect rate limits"],"best_for":["Bulk processing workflows (batch inference, data labeling)","Applications with rate-limit constraints requiring concurrency control","Systems needing deterministic error handling for partial batch failures"],"limitations":["Concurrency control adds ~10-50ms overhead depending on queue depth","No built-in batching API support — requires manual request grouping","Batch results are not persisted — requires external storage for checkpointing","Memory usage scales with batch size — very large batches (10000+) may require streaming"],"requires":["Effect-TS 2.0+","TypeScript 4.7+","Understanding of Effect's Semaphore and Queue types"],"input_types":["arrays of prompt objects","concurrency limit (number)","timeout per request"],"output_types":["Effect<BatchResult[], BatchError>","arrays of Message objects with error tracking","partial success results"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-effect-ai-anthropic__cap_9","uri":"capability://automation.workflow.observability.and.tracing.integration.with.effect.s.logging.and.metrics","name":"observability and tracing integration with effect's logging and metrics","description":"Integrates with Effect's logging and metrics systems to provide structured logging of API calls, response times, token usage, and errors. Traces are automatically propagated through the Effect runtime, enabling correlation of logs across multiple API calls and service boundaries without manual trace ID threading.","intents":["I want to log all Anthropic API calls with request/response details","I need to track token usage and API costs across requests","I want to correlate logs across multiple API calls using trace IDs"],"best_for":["Production systems requiring observability and debugging","Teams tracking API costs and token usage","Applications needing distributed tracing across services"],"limitations":["Logging adds ~2-5ms overhead per API call","Trace propagation requires compatible logging backend (e.g., OpenTelemetry)","No built-in cost calculation — requires external integration with pricing data","Sensitive data (prompts, responses) may be logged — requires careful configuration"],"requires":["Effect-TS 2.0+","TypeScript 4.7+","Logging backend (e.g., Winston, Pino, OpenTelemetry)","Understanding of Effect's Logger and Span types"],"input_types":["API request objects","response objects","error objects"],"output_types":["structured log entries","trace spans with timing data","metrics (token count, latency)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"high","permissions":["TypeScript 4.7+","Effect-TS 2.0+","Node.js 18+","Anthropic API key (via environment variable or explicit configuration)","@anthropic-ai/sdk package","Anthropic API with streaming support enabled","Understanding of Effect's Stream and Sink abstractions","TypeScript 4.7+ with strict mode enabled","Anthropic API with tool-use support","JSON Schema definitions for tool inputs"],"failure_modes":["Requires understanding of Effect-TS concepts (Effect, Layer, Either) — steeper learning curve than direct API calls","Adds ~5-10ms overhead per API call due to Effect runtime and error handling machinery","Limited to Anthropic API — no multi-provider abstraction layer","No built-in caching or request deduplication — requires external Effect-based cache layer","Stream composition adds complexity compared to simple promise-based streaming","Requires understanding of Effect's Stream API and lazy evaluation semantics","No built-in token counting or cost estimation — requires external integration","Backpressure handling may introduce latency if consumer is slow","Schema definition requires explicit TypeScript types — no automatic inference from function signatures","Tool execution is synchronous by default — async tools require explicit Effect wrapping","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.24329692908744058,"quality":0.3,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-04-22T08:08:13.650Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":13550,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=effect-ai-anthropic","compare_url":"https://unfragile.ai/compare?artifact=effect-ai-anthropic"}},"signature":"brUFJiO/CiH2GRE+Ut7oubgMj/r0ZakXFVmYVaz+P6OEluzikv+yDH7vyoRRJqdwd5isQAbtdyK8WIdsm44qAQ==","signedAt":"2026-06-20T21:27:02.261Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/effect-ai-anthropic","artifact":"https://unfragile.ai/effect-ai-anthropic","verify":"https://unfragile.ai/api/v1/verify?slug=effect-ai-anthropic","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}