chore: import upstream snapshot with attribution

examples/integration-strands-agents/agent_provider.py

@@ -0,0 +1,66 @@
+"""Promptfoo provider for Strands Agents SDK.
+
+This module exposes a call_api function that promptfoo uses to interact
+with the Strands agent for evaluation.
+
+The provider follows promptfoo's Python provider interface:
+https://promptfoo.dev/docs/providers/python/
+
+Usage in promptfooconfig.yaml:
+    providers:
+      - id: 'file://agent_provider.py:call_api'
+        config:
+          model_id: 'gpt-4o-mini'
+
+For more information:
+- Strands Agents SDK: https://github.com/strands-agents/sdk-python
+- Strands Documentation: https://strandsagents.com/
+- promptfoo Python Providers: https://promptfoo.dev/docs/providers/python/
+"""
+
+from typing import Any, Dict
+
+from agent import run_agent
+
+
+def call_api(
+    prompt: str, options: Dict[str, Any], context: Dict[str, Any]
+) -> Dict[str, Any]:
+    """Main entry point for promptfoo to call the Strands agent.
+
+    This function is called by promptfoo for each test case. It receives the
+    rendered prompt and returns the agent's response.
+
+    Args:
+        prompt: The user's input message (rendered from the prompt template)
+        options: Configuration options from the provider config in YAML
+        context: Context information from promptfoo (vars, test metadata, etc.)
+
+    Returns:
+        Dictionary with 'output' key containing the agent's response.
+        On error, includes both 'error' and 'output' keys.
+    """
+    try:
+        # Extract model configuration from provider options
+        config = options.get("config", {})
+        model_id = config.get("model_id", "gpt-4o-mini")
+
+        # Run the Strands agent and get the response
+        result = run_agent(prompt, model_id)
+
+        # Return in promptfoo's expected format
+        return {"output": result}
+    except Exception as e:
+        # Return error in a format promptfoo can display
+        return {"error": str(e), "output": f"Error: {str(e)}"}
+
+
+if __name__ == "__main__":
+    import os
+
+    print("Testing Strands agent provider...")
+    if os.getenv("OPENAI_API_KEY"):
+        result = call_api("What's the weather in New York?", {}, {})
+        print(f"Result: {result}")
+    else:
+        print("Set OPENAI_API_KEY to test.")