checkpoint

simple_conversation.py

@@ -5,25 +5,40 @@ import signal
 from vocode.conversation import Conversation
 from vocode.helpers import create_microphone_input_and_speaker_output
 from vocode.models.transcriber import DeepgramTranscriberConfig
-from vocode.models.agent import ChatGPTAgentConfig
+from vocode.models.agent import ChatGPTAgentConfig, RESTfulUserImplementedAgentConfig
 from vocode.models.synthesizer import AzureSynthesizerConfig
+from vocode.user_implemented_agent.restful_agent import RESTfulAgent
 
 logging.basicConfig()
 logging.root.setLevel(logging.INFO)
 
+class EchoAgent(RESTfulAgent):
+
+    async def respond(self, input: str) -> str:
+        return input
+
 if __name__ == "__main__":
+    import threading
+
     microphone_input, speaker_output = create_microphone_input_and_speaker_output(use_first_available_device=False)
+    user_agent_thread = threading.Thread(target=EchoAgent().run)
+    user_agent_thread.start()
 
     conversation = Conversation(
         input_device=microphone_input,
         output_device=speaker_output,
         transcriber_config=DeepgramTranscriberConfig.from_input_device(microphone_input),
-        agent_config=ChatGPTAgentConfig(
+        agent_config=RESTfulUserImplementedAgentConfig(
             initial_message="Hello!",
-            prompt_preamble="The AI is having a pleasant conversation about life."
+            generate_responses=False,
+            respond=RESTfulUserImplementedAgentConfig.EndpointConfig(
+                url="http://localhost:3001/respond",
+                method="POST"
+            )
         ),
         synthesizer_config=AzureSynthesizerConfig.from_output_device(speaker_output)
     )
     signal.signal(signal.SIGINT, lambda _0, _1: conversation.deactivate())
     asyncio.run(conversation.start())
+    user_agent_thread.join()