chore: import upstream snapshot with attribution

docs/en/documentation/getting-started/quickstart/python/llamaindex/quickstart.py

@@ -0,0 +1,62 @@
+import asyncio
+import os
+
+from llama_index.core.agent.workflow import AgentWorkflow
+from llama_index.core.workflow import Context
+
+# TODO(developer): replace this with another import if needed
+from llama_index.llms.google_genai import GoogleGenAI
+# from llama_index.llms.anthropic import Anthropic
+
+from toolbox_llamaindex import ToolboxClient
+
+project = os.environ.get("GCP_PROJECT") or "project-id"
+
+prompt = """
+  You're a helpful hotel assistant. You handle hotel searching, booking and
+  cancellations. When the user searches for a hotel, mention it's name, id,
+  location and price tier. Always mention hotel ids while performing any
+  searches. This is very important for any operations. For any bookings or
+  cancellations, please provide the appropriate confirmation. Be sure to
+  update checkin or checkout dates if mentioned by the user.
+  Don't ask for confirmations from the user.
+"""
+
+queries = [
+    "Find hotels in Basel with Basel in its name.",
+    "Can you book the Hilton Basel for me?",
+    "Oh wait, this is too expensive. Please cancel it and book the Hyatt Regency instead.",
+    "My check in dates would be from April 10, 2024 to April 19, 2024.",
+]
+
+async def main():
+    # TODO(developer): replace this with another model if needed
+    llm = GoogleGenAI(
+        model="gemini-2.5-flash",
+        vertexai_config={"project": project, "location": "us-central1"},
+    )
+    # llm = GoogleGenAI(
+    #     api_key=os.getenv("GOOGLE_API_KEY"),
+    #     model="gemini-2.5-flash",
+    # )
+    # llm = Anthropic(
+    #   model="claude-3-7-sonnet-latest",
+    #   api_key=os.getenv("ANTHROPIC_API_KEY")
+    # )
+
+    # Load the tools from the Toolbox server
+    async with ToolboxClient("http://127.0.0.1:5000") as client:
+        tools = await client.aload_toolset()
+
+        agent = AgentWorkflow.from_tools_or_functions(
+            tools,
+            llm=llm,
+            system_prompt=prompt,
+        )
+        ctx = Context(agent)
+        for query in queries:
+            response = await agent.run(user_msg=query, ctx=ctx)
+            print(f"---- {query} ----")
+            print(str(response))
+
+asyncio.run(main())