Back to Prompt Library
implementation
Build Rail Dispatch Agent with Extended Thinking
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Phosphate Rail Track Scheduling Agent with Claude Agents SDK
Format
Text-first
Lines
1
Sections
1
Linked challenge
Phosphate Rail Track Scheduling Agent with Claude Agents SDK
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Using `anthropic` SDK, instantiate an agent with model `claude-3-7-sonnet-20250219` enabling extended thinking. Define tool `check_track_block_availability` and solve the train conflict prompt without collisions.
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.