LLM Orchestration Pipeline

A fault-tolerant generation AI pipeline built on LangChain, designed to produce strictly structured output by orchestrating primary and fallback LLMs asynchronously.

Dual-Model Verification Flow

Design Highlights

LangChain Runnable Sequences

Replaces monolithic API calls with composable, functional Data pipelines (RunnableSequence). The data flows seamlessly from the PromptTemplate, explicitly piped into the Language Model, and then immediately piped into a parser.

Zod Validation Contracts

Generative AI output is inherently unstable. By enforcing a strict Zod specification, we guarantee that the LLM payload conforms mathematically to the application logic boundaries before it is ever allowed to touch the database.

Intelligent Model Rerouting

In production systems, third-party provider uptimes can severely bottleneck a queuing system. The architecture uses a try/catch router within the pipeline. If OpenAI goes down, the orchestrator instantly switches the identical prompt and schema configuration to a Google GenAI (Gemini) validationLlm model to maintain pipeline throughput automatically.