file name change

Author: lgayhardt

articles/ai-foundry/how-to/develop/agent-evaluate-sdk.md

@@ -21,7 +21,7 @@ AI Agents are powerful productivity assistants to create workflows for business
 
 To build production-ready agentic applications and enable observability and transparency, developers need tools to assess not just the final output from an agent's workflows, but the quality and efficiency of the workflows themselves. For example, consider a typical agentic workflow:
 
-:::image type="content" source="../../media/evaluations/agent-workflow-eval.gif" alt-text="Animation of the agent's workflow from user query to intent resolution to tool calls to final response." lightbox="../../media/evaluations/agent-workflow-eval.gif":::
+:::image type="content" source="../../media/evaluations/agent-workflow-evaluation.gif" alt-text="Animation of the agent's workflow from user query to intent resolution to tool calls to final response." lightbox="../../media/evaluations/agent-workflow-evaluation.gif":::
 
 The agentic workflow is triggered by a user query "weather tomorrow". It starts to execute multiple steps, such as reasoning through user intents, tool calling, and utilizing retrieval-augmented generation to produce a final response. In this process, evaluating each step of the workflow—along with the quality and safety of the final output—is crucial. Specifically, we formulate these evaluation aspects into the following evaluators for agents: