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updating rest examples
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‎articles/ai-services/agents/how-to/tools/azure-ai-search-samples.md‎

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## Create an Azure AI Client
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Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`. The client creation is demonstrated in the next section.
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Follow the [REST API Quickstart](../../quickstart.md#api-call-information?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
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## Get the connection ID for the Azure AI Search resource
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‎articles/ai-services/agents/how-to/tools/azure-functions-samples.md‎

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In the sample below we create a client and an agent that has the tools definition for the Azure Function
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Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`. Then create the agent using:
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Follow the [REST API Quickstart](../../quickstart.md#api-call-information?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
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```bash
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curl --request POST \

‎articles/ai-services/agents/how-to/tools/bing-code-samples.md‎

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>[!IMPORTANT]
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> 1. This REST API allows developers to invoke the Grounding with Bing Search tool through the Azure AI Foundry Agent Service. It does not send calls to the Grounding with Bing Search API directly.
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Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`. The client creation is demonstrated in the next section.
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Follow the [REST API Quickstart](../../quickstart.md#api-call-information?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
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## Create an Agent with the Grounding with Bing search tool enabled

‎articles/ai-services/agents/how-to/tools/bing-custom-search-samples.md‎

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>[!IMPORTANT]
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> 1. This REST API allows developers to invoke the Grounding with Bing Custom Search tool through the Azure AI Foundry Agent Service. It does not send calls to the Grounding with Bing Custom Search API directly.
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Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN` and `AZURE_AI_AGENTS_ENDPOINT`. The client creation is demonstrated in the next section.
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Follow the [REST API Quickstart](../../quickstart.md#api-call-information?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
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## Create an Agent with the Grounding with Bing Custom Search tool enabled
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To make the Grounding with Bing Custom Search tool available to your agent, use a connection to initialize the tool and attach it to the agent. You can find your connection in the **connected resources** section of your project in the [Azure AI Foundry portal](https://ai.azure.com/).
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/assistants?api-version=2025-05-15-preview \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/assistants?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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## Create a thread
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```console
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads?api-version=2025-05-15-preview \
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d ''
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```
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## Add a user question to the thread
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```console
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=2025-05-15-preview \
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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Create a run and observe that the model uses the Grounding with Bing Custom Search tool to provide a response to the user's question.
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```console
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs?api-version=2025-05-15-preview \
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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### Retrieve the status of the run
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```console
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=2025-05-15-preview \
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```bash
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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### Retrieve the agent response
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```console
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=2025-05-15-preview \
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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‎articles/ai-services/agents/how-to/tools/code-interpreter-samples.md‎

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:::zone pivot="rest-api"
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Follow the [REST API Quickstart](../../quickstart.md#api-call-information?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
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## Upload a file
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/files?api-version=2025-05-01 \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/files?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-F purpose="assistants" \
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-F file="@c:\\path_to_file\\file.csv"
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## Create an agent with the code interpreter tool
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/assistants?api-version=2025-05-01 \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/assistants?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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## Create a thread
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d ''
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## Add a user question to the thread
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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## Run the thread
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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## Retrieve the status of the run
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=2025-05-01 \
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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## Retrieve the agent response
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```bash
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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‎articles/ai-services/agents/how-to/tools/fabric.md‎

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:::zone pivot="rest"
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>[!IMPORTANT]
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> This REST API allows developers to invoke the Grounding with Bing Search tool through the Azure AI Foundry Agent Service. It does not send calls to the Grounding with Bing Search API directly.
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Follow the [REST API Quickstart](../../quickstart.md?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN` and `AZURE_AI_AGENTS_ENDPOINT`. The client creation is demonstrated in the next section.
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Follow the [REST API Quickstart](../../quickstart.md#api-call-information?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
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### Create an agent with the Microsoft Fabric tool enabled
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/assistants?api-version=2025-05-15-preview \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/assistants?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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#### Create a thread
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads?api-version=2025-05-15-preview \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d ''
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#### Add a user question to the thread
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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#### Run the thread
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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#### Retrieve the status of the run
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=2025-05-15-preview \
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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#### Retrieve the agent response
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=2025-05-15-preview \
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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:::zone-end

‎articles/ai-services/agents/how-to/tools/file-search-upload-files.md‎

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To access your files, the file search tool uses the vector store object. Upload your files and create a vector store. After creating the vector store, poll its status until all files are out of the in_progress state to ensure that all content is fully processed. The SDK provides helpers for uploading and polling.
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Follow the [REST API Quickstart](../../quickstart.md#api-call-information?pivots=rest-api) to set the right values for the environment variables `AZURE_AI_AGENTS_TOKEN`, `AZURE_AI_FOUNDRY_PROJECT_ENDPOINT` and `API_VERSION`.
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### Upload a file
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/files?api-version=2025-05-01 \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/files?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-F purpose="assistants" \
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-F file="@c:\\path_to_file\\sample_file_for_upload.txt"
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### Create a vector store
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```bash
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/vector_stores?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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### Attach the uploaded file to the vector store
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/vector_stores/vs_abc123/files?api-version=2025-05-01 \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/vector_stores/vs_abc123/files?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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## Create an agent and enable file search
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```bash
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-H "api-key: $AZURE_OPENAI_API_KEY" \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/assistants?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H 'Content-Type: application/json' \
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-d '{
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"name": "Financial Analyst Assistant",
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You can also attach files as Message attachments on your thread. Doing so creates another vector store associated with the thread, or, if there's already a vector store attached to this thread, attaches the new files to the existing thread vector store. When you create a Run on this thread, the file search tool queries both the vector store from your agent and the vector store on the thread.
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads?api-version=2025-05-01 \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d ''
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### Add a user question to the thread
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=2025-05-01 \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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### Run the thread
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs?api-version=2025-05-01 \
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curl --request POST \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN" \
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-H "Content-Type: application/json" \
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-d '{
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### Retrieve the status of the run
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=2025-05-01 \
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/runs/run_abc123?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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### Retrieve the agent response
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```bash
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curl $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=2025-05-01 \
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curl --request GET \
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--url $AZURE_AI_FOUNDRY_PROJECT_ENDPOINT/threads/thread_abc123/messages?api-version=$API_VERSION \
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-H "Authorization: Bearer $AZURE_AI_AGENTS_TOKEN"
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```
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