Strict JSON Document Extractor
A deterministic data extraction pipeline. By utilizing native tool calling rather than prompt engineering, it forces the LLM to output strict JSON schemas for reliable database ingestion.
Execution_Steps
- 01
Setup Ingestion
Place an `input` node. Connect this to an `llm_call` node.
- 02
Configure Reasoning Parameters
Open the `llm_call` node. Select "gpt-4o". In the expected tokens, allocate a high input token count (e.g., P95: 8000) to account for large document processing.
- 03
Enforce Schema via Tool Calling
Instead of prompt engineering for JSON, drag a `tool_call` node and attach it to the LLM. Configure the tool call with the explicit JSON schema required for your database (e.g., extracting "merchant" and "total"). This forces the LLM to output strictly formatted arguments.
- 04
Finalize API Output
Connect the Tool Call to your `output` terminal. Simulate the traffic to observe how forced tool calling impacts overall latency compared to raw text generation.