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Maintains cost aggregations by model, provider, and time period, and integrates with PostHog analytics for cost dashboards. 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Applies exponential backoff with jitter for retryable errors, respects provider-specific retry-after headers, and provides detailed error context for debugging.","intents":["Build resilient AI applications that gracefully handle transient LLM API failures","Avoid overwhelming LLM APIs during rate limiting with intelligent backoff","Debug LLM API errors with detailed error context and provider information"],"best_for":["Teams running LLM applications in production","Developers building fault-tolerant AI agents","Applications with strict uptime requirements"],"limitations":["Exponential backoff may introduce significant latency for heavily rate-limited scenarios","Retry logic is synchronous — no built-in support for queuing or async retries","No circuit breaker pattern for cascading failures across multiple providers"],"requires":["Configurable retry parameters (max attempts, backoff multiplier)","Provider error response parsing","Node.js 14+"],"input_types":["LLM API errors","retry configuration"],"output_types":["retry decisions","backoff delays","error logs"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-posthog-ai__cap_8","uri":"capability://code.generation.editing.type.safe.llm.client.generation.from.typescript.interfaces","name":"type-safe llm client generation from typescript interfaces","description":"Generates type-safe LLM client code from TypeScript interfaces, ensuring that LLM calls and responses are type-checked at compile time. Converts TypeScript types to JSON Schema for structured output validation, and generates wrapper functions with proper typing for tool definitions and message handling.","intents":["Build type-safe AI applications without manual type definitions","Catch type mismatches between LLM outputs and application code at compile time","Generate boilerplate LLM client code from existing TypeScript types"],"best_for":["TypeScript teams prioritizing type safety","Developers building large-scale AI applications","Teams with strict code quality standards"],"limitations":["Requires TypeScript — no support for JavaScript-only projects","Generated types may not capture all LLM output variations","Type generation adds build-time overhead"],"requires":["TypeScript 4.5+","TypeScript compiler API or similar reflection mechanism","Node.js 14+"],"input_types":["TypeScript interface definitions","LLM response schemas"],"output_types":["generated TypeScript client code","JSON Schema definitions","type definitions"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-posthog-ai__cap_9","uri":"capability://tool.use.integration.provider.agnostic.model.selection.and.fallback","name":"provider-agnostic model selection and fallback","description":"Enables runtime model selection and automatic fallback to alternative providers/models if the primary choice fails or is unavailable. 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