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Implement Claude Agents SDK MHS Controller with Langfuse

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Claude Agents SDK & Langfuse MHS Device Control Auditor

Format
Code-aware
Lines
9
Sections
3
Linked challenge
Claude Agents SDK & Langfuse MHS Device Control Auditor

Prompt source

Original prompt text with formatting preserved for inspection.

9 lines
3 sections
No variables
0 checklist items
import anthropic
from langfuse import Langfuse

langfuse = Langfuse()
client = anthropic.Anthropic()

# Define MHS device tool schema and wrap tool execution with Langfuse observe decorator
@langfuse.observe()
def execute_mhs_command(device_id: str, action: str, params: dict):
    # Implement safety verification against MHS physical limits
    pass

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.