MultiCriticPanel
Batching Consensus & Adversarial Critique Panel
An AI-powered evaluation panel that audits thought streams in structured batches, issuing formal ACCEPT or REJECT verdicts against problem constraints to prevent rate limits and context saturation.
System Overview & Engineering Purpose
MultiCriticPanel acts as an adversarial filter inside Quantix and SynapseFabric. Rather than allowing an agent's initial thoughts to pass straight to synthesis, MultiCriticPanel groups intermediate thoughts into batches (batch size 5), evaluates them against structured percepts, and issues formal ACCEPT or REJECT verdicts accompanied by granular feedback.
Execution Pipeline & Component Nodes
Step-by-Step Runtime Protocol
Batch Segmentation
Partitions thought arrays into chunks of 5, preventing context window saturation and token throttling.
Prompt Assembly
Combines original parsed problem constraints with batch thoughts into a structured critique evaluation prompt.
Structured Evaluation
Requests JSON-enforced verdicts from GPT-4o, detailing logical soundness, edge-case handling, and factual validity.
Verdict Routing
Aggregates batch verdicts. If flaws are found, emits structured critique feedback back into the orchestrator loop.
Implementation Snippet
async evaluate(thoughts, problemContext) {
if (thoughts.length === 0) return this._handleEmptyThoughts();
let allVerdicts = [];
for (let i = 0; i < thoughts.length; i += this.batchSize) {
const batch = thoughts.slice(i, i + this.batchSize);
const prompt = this._createBatchPrompt(batch, problemContext, i);
const response = await this.client.chat.completions.create({
model: this.model,
messages: [{ role: 'system', content: prompt }],
response_format: { type: 'json_object' },
});
const content = JSON.parse(response.choices[0].message.content);
allVerdicts.push(...content.verdicts);
}
return this._aggregateResults(allVerdicts);
}