Back to Prompt Library
implementation

Langroid Agent Implementation Prompt

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

Linked challenge: Home Robot Agent

Format
Text-first
Lines
1
Sections
1
Linked challenge
Home Robot Agent

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Implement the core Langroid agent logic that takes a user command (e.g., 'Make me a double espresso.'), uses GPT-5 for extended planning, and invokes the defined Model Context Protocol tools. The agent should parse environmental observations and update its internal state accordingly. Include basic error handling for tool failures.

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.