diff --git a/examples/02-agents/providers/openai/filesearch/main.go b/examples/02-agents/providers/openai/filesearch/main.go
new file mode 100644
index 00000000..b52c1ab4
--- /dev/null
+++ b/examples/02-agents/providers/openai/filesearch/main.go
@@ -0,0 +1,65 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+package main
+
+import (
+	"context"
+	"os"
+	"strings"
+
+	"github.com/microsoft/agent-framework-go/agent"
+	"github.com/microsoft/agent-framework-go/examples/internal/demo"
+	"github.com/microsoft/agent-framework-go/message"
+	"github.com/microsoft/agent-framework-go/provider/openaiprovider"
+	"github.com/microsoft/agent-framework-go/tool"
+	"github.com/microsoft/agent-framework-go/tool/hostedtool"
+	"github.com/openai/openai-go/v3"
+)
+
+// vectorStoreID identifies the OpenAI vector store the file-search tool queries.
+// Create one via the OpenAI dashboard or API, upload your documents to it, then
+// export its identifier before running this example:
+//
+//	export VECTOR_STORE_ID=vs_...
+var vectorStoreID = strings.TrimSpace(os.Getenv("VECTOR_STORE_ID"))
+
+var logger = demo.NewLogger(
+	"OpenAI File Search",
+	"Demonstrates the hosted file-search (vector store) tool with an OpenAI Responses agent.",
+	"Model", "gpt-4o-mini",
+)
+
+func main() {
+	if vectorStoreID == "" {
+		demo.Assistant("Set VECTOR_STORE_ID to a vector store you own to run this example.")
+		demo.Assistant("  export VECTOR_STORE_ID=vs_...")
+		return
+	}
+
+	// Create an OpenAI Responses agent with the hosted file-search tool. The tool
+	// retrieves grounding context from the referenced vector store and caps the
+	// number of returned chunks with MaximumResultCount.
+	a := openaiprovider.NewAgent(
+		openai.NewClient(),
+		openaiprovider.AgentConfig{
+			Model:        "gpt-4o-mini",
+			Instructions: "You are a helpful assistant. Answer using the documents in the vector store.",
+			Config: agent.Config{
+				Name:        "FileSearchAgent",
+				Middlewares: []agent.Middleware{logger}, // for logging agent interactions
+				Tools: []tool.Tool{
+					&hostedtool.FileSearch{
+						MaximumResultCount: 5,
+						Inputs: []message.Content{
+							&message.HostedVectorStoreContent{VectorStoreID: vectorStoreID},
+						},
+					},
+				},
+			},
+		},
+	)
+
+	// Invoke the agent with a retrieval-style query and output the text result.
+	resp, err := a.RunText(context.Background(), "What do the documents say? Summarize the key points.").Collect()
+	demo.Response(resp, err)
+}