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Build Modal Serverless LlamaIndex Query Function

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Linked challenge: MCED Patient Triage Pipeline using LlamaIndex and Modal Serverless

Format
Code-aware
Lines
9
Sections
3
Linked challenge
MCED Patient Triage Pipeline using LlamaIndex and Modal Serverless

Prompt source

Original prompt text with formatting preserved for inspection.

9 lines
3 sections
No variables
0 checklist items
import modal
from llamaindex.core import VectorStoreIndex, SimpleDirectoryReader

app = modal.App('mced-triage-app')

@app.function()
def query_mced_guidelines(patient_data: dict):
    # Load guidelines and run query using LlamaIndex
    index = VectorStoreIndex.from_documents([])
    query_engine = index.as_query_engine()
    return query_engine.query(f"Generate summary for {patient_data}")

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.