[azure-ai-evaluation] Fix broken README/migration code samples, typos, and stale links

sdk/evaluation/azure-ai-evaluation/README.md

@@ -58,15 +58,15 @@ from azure.ai.evaluation import evaluate, RelevanceEvaluator, ViolenceEvaluator,
 
 # NLP bleu score evaluator
 bleu_score_evaluator = BleuScoreEvaluator()
-result = bleu_score(
+result = bleu_score_evaluator(
     response="Tokyo is the capital of Japan.",
     ground_truth="The capital of Japan is Tokyo."
 )
 
 # AI assisted quality evaluator
 model_config = {
     "azure_endpoint": os.environ.get("AZURE_OPENAI_ENDPOINT"),
-    "api_key": os.environ.get("AZURE_OPENAI_API_KEY"),
+    "api_key": os.environ.get("AZURE_OPENAI_KEY"),
     "azure_deployment": os.environ.get("AZURE_OPENAI_DEPLOYMENT"),
 }
 
@@ -116,13 +116,13 @@ class BlocklistEvaluator:
         self._blocklist = blocklist
 
     def __call__(self, *, response: str, **kwargs):
-        score = any([word in answer for word in self._blocklist])
+        score = any([word in response for word in self._blocklist])
         return {"score": score}
 
 blocklist_evaluator = BlocklistEvaluator(blocklist=["bad, worst, terrible"])
 
 result = response_length("The capital of Japan is Tokyo.")
-result = blocklist_evaluator(answer="The capital of Japan is Tokyo.")
+result = blocklist_evaluator(response="The capital of Japan is Tokyo.")
 
 ```
 
@@ -144,12 +144,12 @@ result = evaluate(
     evaluator_config={
         "relevance": {
             "column_mapping": {
-                "query": "${data.queries}"
-                "ground_truth": "${data.ground_truth}"
+                "query": "${data.queries}",
+                "ground_truth": "${data.ground_truth}",
                 "response": "${outputs.response}"
             } 
         }
-    }
+    },
     # Optionally provide your AI Foundry project information to track your evaluation results in your Azure AI Foundry project
     azure_ai_project = azure_ai_project,
     # Optionally provide an output path to dump a json of metric summary, row level data and metric and AI Foundry URL
@@ -171,8 +171,8 @@ result = evaluate(
     evaluator_config={
         "default": {
             "column_mapping": {
-                "query": "${data.queries}"
-                "context": "${outputs.context}"
+                "query": "${data.queries}",
+                "context": "${outputs.context}",
                 "response": "${outputs.response}"
             } 
         }
@@ -186,7 +186,7 @@ For more details refer to [Evaluate on a target][evaluate_target]
 ### Simulator
 
 
-Simulators allow users to generate synthentic data using their application. Simulator expects the user to have a callback method that invokes their AI application. The intergration between your AI application and the simulator happens at the callback method. Here's how a sample callback would look like:
+Simulators allow users to generate synthetic data using their application. Simulator expects the user to have a callback method that invokes their AI application. The integration between your AI application and the simulator happens at the callback method. Here's how a sample callback would look like:
 
 
 ```python
@@ -216,9 +216,9 @@ The simulator initialization and invocation looks like this:
 ```python
 from azure.ai.evaluation.simulator import Simulator
 model_config = {
-    "azure_endpoint": os.environ.get("AZURE_ENDPOINT"),
-    "azure_deployment": os.environ.get("AZURE_DEPLOYMENT_NAME"),
-    "api_version": os.environ.get("AZURE_API_VERSION"),
+    "azure_endpoint": os.environ.get("AZURE_OPENAI_ENDPOINT"),
+    "api_key": os.environ.get("AZURE_OPENAI_KEY"),
+    "azure_deployment": os.environ.get("AZURE_OPENAI_DEPLOYMENT"),
 }
 custom_simulator = Simulator(model_config=model_config)
 outputs = asyncio.run(custom_simulator(
@@ -323,7 +323,7 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [evaluation_pypi]: https://pypi.org/project/azure-ai-evaluation/
 [evaluation_ref_docs]: https://learn.microsoft.com/python/api/azure-ai-evaluation/azure.ai.evaluation?view=azure-python-preview
 [evaluation_samples]: https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios
-[product_documentation]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/evaluate-sdk
+[product_documentation]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/evaluate-sdk
 [python_logging]: https://docs.python.org/3/library/logging.html
 [sdk_logging_docs]: https://docs.microsoft.com/azure/developer/python/azure-sdk-logging
 [azure_core_readme]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md
@@ -335,24 +335,24 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [code_of_conduct]: https://opensource.microsoft.com/codeofconduct/
 [coc_faq]: https://opensource.microsoft.com/codeofconduct/faq/
 [coc_contact]: mailto:opencode@microsoft.com
-[evaluate_target]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/evaluate-sdk#evaluate-on-a-target
-[evaluate_dataset]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/evaluate-sdk#evaluate-on-test-dataset-using-evaluate
+[evaluate_target]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/evaluate-sdk#local-evaluation-on-a-target
+[evaluate_dataset]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/evaluate-sdk#local-evaluation-on-test-datasets-using-evaluate
 [evaluators]: https://learn.microsoft.com/python/api/azure-ai-evaluation/azure.ai.evaluation?view=azure-python-preview
 [evaluate_api]: https://learn.microsoft.com/python/api/azure-ai-evaluation/azure.ai.evaluation?view=azure-python-preview#azure-ai-evaluation-evaluate
 [evaluate_app]: https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/evaluate/Supported_Evaluation_Targets/Evaluate_App_Endpoint
 [evaluation_tsg]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/evaluation/azure-ai-evaluation/TROUBLESHOOTING.md
-[ai_studio]: https://learn.microsoft.com/azure/ai-studio/what-is-ai-studio
-[ai_project]: https://learn.microsoft.com/azure/ai-studio/how-to/create-projects?tabs=ai-studio
+[ai_studio]: https://learn.microsoft.com/azure/foundry/what-is-foundry
+[ai_project]: https://learn.microsoft.com/azure/foundry/how-to/create-projects
 [azure_openai]: https://learn.microsoft.com/azure/ai-services/openai/
 [evaluate_models]: https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/evaluate/Supported_Evaluation_Targets/Evaluate_Base_Model_Endpoint
 [custom_evaluators]: https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/evaluate/Supported_Evaluation_Metrics/Custom_Evaluators
 [evaluate_samples]: https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/evaluate
-[evaluation_metrics]: https://learn.microsoft.com/azure/ai-studio/concepts/evaluation-metrics-built-in
-[performance_and_quality_evaluators]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/evaluate-sdk#performance-and-quality-evaluators
-[risk_and_safety_evaluators]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/evaluate-sdk#risk-and-safety-evaluators
-[composite_evaluators]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/evaluate-sdk#composite-evaluators
-[adversarial_simulation_docs]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/simulator-interaction-data#generate-adversarial-simulations-for-safety-evaluation
-[adversarial_simulation_scenarios]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/simulator-interaction-data#supported-adversarial-simulation-scenarios
+[evaluation_metrics]: https://learn.microsoft.com/azure/foundry/concepts/built-in-evaluators
+[performance_and_quality_evaluators]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/evaluate-sdk#built-in-evaluators
+[risk_and_safety_evaluators]: https://learn.microsoft.com/azure/foundry-classic/concepts/evaluation-evaluators/risk-safety-evaluators
+[composite_evaluators]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/evaluate-sdk#composite-evaluators
+[adversarial_simulation_docs]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/simulator-interaction-data#generate-adversarial-simulations-for-safety-evaluation
+[adversarial_simulation_scenarios]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/simulator-interaction-data#supported-adversarial-simulation-scenarios
 [adversarial_simulation]: https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/evaluate/Simulators/Simulate_Adversarial_Data
 [simulate_with_conversation_starter]: https://github.com/Azure-Samples/azureai-samples/tree/main/scenarios/evaluate/Simulators/Simulate_Context-Relevant_Data/Simulate_From_Conversation_Starter
-[adversarial_jailbreak]: https://learn.microsoft.com/azure/ai-studio/how-to/develop/simulator-interaction-data#simulating-jailbreak-attacks
+[adversarial_jailbreak]: https://learn.microsoft.com/azure/foundry-classic/how-to/develop/simulator-interaction-data#simulate-jailbreak-attacks

sdk/evaluation/azure-ai-evaluation/TROUBLESHOOTING.md

@@ -28,11 +28,11 @@ This guide walks you through how to investigate failures, common errors in the `
 
 - Before running `evaluate()`, to ensure that you can enable logging and tracing to your Azure AI project, make sure you are first logged in by running `az login`.
 
-- Ensure that you assign the proper permissions to the storage account linked to your Azure AI Studio hub. This can be done with the following command. More information can be found [here](https://aka.ms/credentialleshub).
+- Ensure that you assign the proper permissions to the storage account linked to your Azure AI Foundry hub. This can be done with the following command. More information can be found [here](https://aka.ms/credentialleshub).
 
     ```Shell
-    # <mySubscriptionID>: Subscription ID of the Azure AI Studio hub's linked storage account (available in Azure AI hub resource view in Azure Portal).
-    # <myResourceGroupName>: Resource group of the Azure AI Studio hub's linked storage account.
+    # <mySubscriptionID>: Subscription ID of the Azure AI Foundry hub's linked storage account (available in Azure AI hub resource view in Azure Portal).
+    # <myResourceGroupName>: Resource group of the Microsoft Foundry hub's linked storage account.
     # <user-id>: User object ID for role assignment (retrieve with "az ad user show" command).
 
     az role assignment create --role "Storage Blob Data Contributor" --scope /subscriptions/<mySubscriptionID>/resourceGroups/<myResourceGroupName> --assignee-principal-type User --assignee-object-id "<user-id>"

sdk/evaluation/azure-ai-evaluation/migration_guide.md

@@ -88,6 +88,7 @@ content_safety_eval = ContentSafetyEvaluator(azure_cred, project_scope)
 content_safety_score = content_safety_eval(
     query="What is the capital of Japan?",
     response="The capital of Japan is Tokyo."
+)
 pprint(content_safety_score)
 
 # Using Chat conversation