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Construct LlamaIndex Clearing Risk Agent

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Linked challenge: Build a Real-Time Clearing Risk Engine using LlamaIndex RAG Framework

Format
Code-aware
Lines
8
Sections
4
Linked challenge
Build a Real-Time Clearing Risk Engine using LlamaIndex RAG Framework

Prompt source

Original prompt text with formatting preserved for inspection.

8 lines
4 sections
No variables
0 checklist items
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
from llama_index.core.agent import AgentRunner
from llama_index.core.tools import FunctionTool

def calculate_required_margin(exposure: float, collateral: float, vix: float) -> dict:
    # Execute margin calculation formula...
    pass

margin_tool = FunctionTool.from_defaults(fn=calculate_required_margin)

# Build LlamaIndex agent with vector index memory and margin tool...

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.