# buildBenchmarkPrompt

**Kind:** Function

**Source:** [`atloria-monorepo/libs/agent-core/src/autonomous/adaptive-prompt.ts`](https://github.com/sherkety/atloria/blob/main/atloria-monorepo/libs/agent-core/src/autonomous/adaptive-prompt.ts#L229)

Build a benchmark-optimized system prompt.

Unlike `buildAdaptivePrompt` (which has a 5-phase workflow including
"run baseline tests first"), this prompt is action-first:

  1. Read the issue → identify the source file and function
  2. Call edit_file immediately with the fix
  3. Run the targeted test to verify

The "establish baseline first" step is intentionally omitted because:
  - Baselines consume 50-80% of the turn budget on analysis
  - The model then produces text describing its plan instead of calling edit_file
  - Azure Responses API expires previous_response_id on completion → no second turn
  - SWE-bench eval applies the diff, not the agent's text response

Used by BenchmarkRunner instead of buildAdaptivePrompt.

## Signature

```ts
function buildBenchmarkPrompt(options: {
  workspace: string;
  toolGuide: string;
  repoMap?: string;
  domainRules?: string[];
  /** Specific test names that must pass (from SWE-bench FAIL_TO_PASS metadata) */
  failToPassTests?: string[];
}): string
```

## Parameters

| Name | Type |
|---|---|
| `options` | `{
  workspace: string;
  toolGuide: string;
  repoMap?: string;
  domainRules?: string[];
  /** Specific test names that must pass (from SWE-bench FAIL_TO_PASS metadata) */
  failToPassTests?: string[];
}` |

**Returns:** `string`