implementation

LangGraph State Definition

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Researcher-Critique Loop with LangGraph, GPT-5.4 Pro, and BentoML

Format

Text-first

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Sections

Linked challenge

Researcher-Critique Loop with LangGraph, GPT-5.4 Pro, and BentoML

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines

1 sections

No variables

0 checklist items

Define a TypedDict state for a LangGraph that tracks the 'research_report', the 'critique_list', and the 'iteration_count'. Create the nodes for 'Researcher' (using GPT-5.4 Pro) and 'Critic' (using Claude Sonnet 4.6.6).

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

Prompt diagnostics

Variables

Lists

Code blocks

Purpose

implementation

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Researcher-Critique Loop with LangGraph, GPT-5.4 Pro, and BentoML

Inspired by Microsoft's Copilot Cowork Researcher Critique tool, this challenge involves building a stateful research graph. You will use LangGraph to manage a cyclic workflow where a primary researcher agent generates reports using GPT-5.4 Pro, and a critique agent analyzes the report for factual consistency and depth using Claude Sonnet 4.6.6. This 'adversarial' collaboration ensures high-quality output. The final system is packaged for high-performance inference using BentoML, enabling it to scale for enterprise-wide research tasks. The workflow must maintain state across multiple critique rounds to show iterative improvement in the research quality.

Open challenge

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