OAuth2 Settings Finder with OpenRouter Chat Model and Llama 3.3

Find OAuth URIs with AI Llama Overview: The AI agent identifies: Authorization URI Token URI Audience Methodology: Confidence scoring is utilized to assess the trustworthiness of extracted data: Score Range: 0 < x ≤ 1 Score Granularity: 0.01 increments Model Details: Leveraging the Wayfarer Large 70b Llama 3.3 model. How it works: This template is designed to assist users in obtaining OAuth2 settings using AI-powered insights. It is ideal for developers, IT professionals, or anyone working with APIs that require OAuth2 authentication. By leveraging the AI agent, users can simplify the process of extracting and validating key details such as the authorizationurl, tokenurl, and audience. Se

Help me set up the n8n workflow "OAuth2 Settings Finder with OpenRouter Chat Model and Llama 3.3" (https://n8n.io/workflows/3279). It uses: Code, Basic LLM Chain, Structured Output Parser, OpenRouter Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.