130Write an async batch caller for an LLM API: N requests, a concurrency cap, timeouts, and retries with backoff.▼mediumOpenAIAnthropicScale AI◆ premiumThe most job-shaped coding screen in AI, ML, and GenAI engineering: fan out N LLM calls without melting the rate limit or losing the batch to one bad request. What matters is the retry policy, not the async syntax. Below is the version that passes.Open full answer →
135Write a tool-call handler for an LLM API: schema validation, execution, error feedback, and parallel calls.▼mediumOpenAIAnthropicLangChain◆ premiumEvery agent is a loop around this function. The candidates who fail it raise an exception on a bad tool call; the ones who pass hand the error back to the model as a tool result and let it fix itself on the next turn.Open full answer →
