Anthropic Claude Sonnet Agent Reasoning Quality Scoring (n8n)
Anthropic Claude Sonnet Agent Reasoning Quality Scoring (n8n)
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Anthropic Claude Sonnet Agent Reasoning Quality Scoring (n8n)
Regular price
£52.99
Regular price
£52.99
Sale price
Unit price
/
per
Score an agent’s reasoning trace with Claude Sonnet—then pass/fail it automatically
This n8n automation workflow scores the quality of an agent’s reasoning trace using Anthropic Claude Sonnet 4.6. It generates per-dimension quality scores with justifications and returns a passed / failed result based on configurable thresholds—so your automation can reliably decide whether an agent’s output is acceptable.
What this workflow does
-
Receives inputs from a parent workflow call:
reasoning_trace(array), the agentverdict, andraw_evidence. - Applies quality thresholds by setting an overall reasoning quality threshold and a per-dimension threshold to define pass/fail criteria.
-
Calls Anthropic Claude Sonnet 4.6 to score the trace and evidence across dimensions such as:
- Evidence grounding
- Circularity
- Contradiction handling
- Confidence calibration
-
Extracts structured results (dimension scores, justifications, and the overall
reasoning_qualityvalue) from Claude’s JSON output. -
Evaluates thresholds and returns:
passed: true/false-
flagged_dimensionslisting any dimension scores at or below threshold
- Returns a merged result back to the calling workflow for downstream automation.
Use cases
- Quality gating for AI agents in n8n: reject weak or poorly grounded reasoning before acting.
- Audit-friendly evaluation: capture justifications per dimension for review and iteration.
- Policy enforcement: automatically fail outputs when contradictions or circular logic are detected.
Technical details
- Runs as a sub-workflow called by an Execute Workflow step in a parent workflow.
- Uses nodes including
if,set, andmerge, along with anexecute workflow triggerstructure. - Uses the Anthropic Chat Model via an Anthropic credential for Claude Sonnet 4.6.
- Includes UI elements such as a sticky note for setup guidance and configuration.
Setup tip: Create/select an Anthropic credential, then configure overall_threshold and dimension_threshold in the configuration step to match your quality bar.
