new feature of llama-agents

bootstraprag/templates/llamaindex/llama_agents_simpleq/agents_core.py

@@ -0,0 +1,44 @@
+from llama_agents import (
+    AgentService,
+    AgentOrchestrator,
+    ControlPlaneServer,
+    SimpleMessageQueue,
+)
+
+from llama_index.core.agent import ReActAgent
+from llama_index.core.tools import FunctionTool
+from llama_index.llms.openai import OpenAI
+
+
+# create an agent
+def get_the_secret_fact() -> str:
+    """Returns the secret fact."""
+    return "The secret fact is: A baby llama is called a 'Cria'."
+
+
+tool = FunctionTool.from_defaults(fn=get_the_secret_fact)
+
+agent1 = ReActAgent.from_tools([tool], llm=OpenAI())
+agent2 = ReActAgent.from_tools([], llm=OpenAI())
+
+# create our multi-agent framework components
+message_queue = SimpleMessageQueue(port=8000)
+control_plane = ControlPlaneServer(
+    message_queue=message_queue,
+    orchestrator=AgentOrchestrator(llm=OpenAI(model="gpt-4-turbo")),
+    port=8001,
+)
+agent_server_1 = AgentService(
+    agent=agent1,
+    message_queue=message_queue,
+    description="Useful for getting the secret fact.",
+    service_name="secret_fact_agent",
+    port=8002,
+)
+agent_server_2 = AgentService(
+    agent=agent2,
+    message_queue=message_queue,
+    description="Useful for getting random dumb facts.",
+    service_name="dumb_fact_agent",
+    port=8003,
+)

bootstraprag/templates/llamaindex/llama_agents_simpleq/main.py

@@ -0,0 +1,16 @@
+from llama_agents import LocalLauncher
+import nest_asyncio
+from agents_core import agent_server_1, agent_server_2, control_plane, message_queue
+
+# needed for running in a notebook
+nest_asyncio.apply()
+
+# launch it
+launcher = LocalLauncher(
+    [agent_server_1, agent_server_2],
+    control_plane,
+    message_queue,
+)
+result = launcher.launch_single("What is the secret fact?")
+
+print(f"Result: {result}")

bootstraprag/templates/llamaindex/llama_agents_simpleq/requirements.txt

@@ -0,0 +1,10 @@
+llama-agents==0.0.14
+llama-index==0.10.65
+llama-index-llms-openai==0.1.29
+llama-index-llms-ollama==0.2.2
+llama-index-embeddings-openai==0.1.11
+llama-index-embeddings-ollama==0.2.0
+llama-index-vector-stores-qdrant==0.2.16
+qdrant-client==1.11.0
+fastapi==0.112.1
+uvicorn==0.30.6

bootstraprag/templates/llamaindex/simple_rag/requirements.txt

@@ -1,10 +1,10 @@
 python-dotenv==1.0.1
-llama-index==0.10.58
-llama-index-llms-openai==0.1.27
-llama-index-llms-ollama==0.2.0
+llama-index==0.10.65
+llama-index-llms-openai==0.1.29
+llama-index-llms-ollama==0.2.2
 llama-index-embeddings-openai==0.1.11
-llama-index-embeddings-ollama==0.1.2
-llama-index-vector-stores-qdrant==0.2.14
-qdrant-client==1.10.1
-fastapi==0.112.0
-uvicorn==0.30.5
+llama-index-embeddings-ollama==0.2.0
+llama-index-vector-stores-qdrant==0.2.16
+qdrant-client==1.11.0
+fastapi==0.112.1
+uvicorn==0.30.6