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LlamaIndex & DeepSeek R1 Integration

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Linked challenge: LlamaIndex & DeepSeek R1 Actuarial Risk Analysis Agent

Format
Code-aware
Lines
6
Sections
3
Linked challenge
LlamaIndex & DeepSeek R1 Actuarial Risk Analysis Agent

Prompt source

Original prompt text with formatting preserved for inspection.

6 lines
3 sections
No variables
0 checklist items
from llamaindex.core import VectorStoreIndex, SimpleDirectoryReader, Settings
from llamaindex.llms.openai_like import OpenAILike

# Configure DeepSeek R1 as the primary LLM
Settings.llm = OpenAILike(model='deepseek-reasoner', api_base='https://api.deepseek.com/v1', api_key='YOUR_KEY')

# Load actuarial reports and create query engine
# Write custom query engine code below

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.