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AI & LLM Engineering · Redis · By jeremylongshore

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1

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput, latency, and cost — streaming modes, explicit batch concurrency, semantic plus exact caches, persistent message history…

jeremylongshore/tons-of-skills-marketplace2.8k—~3.5kAutomated safety check: PassMITyesterday
2

Rate-limit LangChain 1.0 calls correctly across multi-worker deployments — Redis-backed limiters, asyncio.Semaphore, narrow exception whitelists, and provider-specific throttle handling.

jeremylongshore/tons-of-skills-marketplace2.8k—~4.4kAutomated safety check: PassMITyesterday
3

Dispatch LangChain 1.0 chain/agent events to external systems — webhooks, Kafka, Redis Streams, SNS — via async fire-and-forget callbacks, subgraph-aware wiring, and HMAC-signed delivery with…

jeremylongshore/tons-of-skills-marketplace2.8k—~3.9kAutomated safety check: PassMITyesterday
4

Implement caching for OpenRouter API responses to reduce cost and latency.

jeremylongshore/tons-of-skills-marketplace2.8k—~2.4kAutomated safety check: PassMITyesterday
5

Design production architectures using OpenRouter as the LLM gateway.

jeremylongshore/tons-of-skills-marketplace2.8k—~2.7kAutomated safety check: PassMITyesterday