primeira versão customizada de VAD- Voice Activity Detection

2026-10-30 19:15:01 +00:00
parent 2449b34137
commit aba05cb826
14 changed files with 3457 additions and 129 deletions
--- a/tools/deepagents_context_smoke_test.py
+++ b/tools/deepagents_context_smoke_test.py
@@ -0,0 +1,109 @@
+
+"""
+Deep Agents contextual memory smoke test.
+
+Uses OCI Generative AI through LangChain.
+Does not modify the AgentVoice application.
+"""
+
+import asyncio
+import os
+
+from deepagents import create_deep_agent
+from langchain_oci import ChatOCIGenAI
+from langchain_core.messages import HumanMessage
+from langgraph.checkpoint.memory import MemorySaver
+
+
+async def main():
+    compartment_id = os.environ.get("OCI_COMPARTMENT_ID")
+
+    if not compartment_id:
+        raise RuntimeError("OCI_COMPARTMENT_ID is required.")
+
+    model = ChatOCIGenAI(
+        model_id="openai.gpt-4o-mini",
+        compartment_id=compartment_id,
+        service_endpoint=(
+            "https://inference.generativeai."
+            "sa-vinhedo-1.oci.oraclecloud.com"
+        ),
+        auth_type="INSTANCE_PRINCIPAL",
+        is_stream=True,
+        model_kwargs={
+            "temperature": 0.3,
+            "max_tokens": 256,
+        },
+    )
+
+    try:
+        agent = create_deep_agent(
+            model=model,
+            tools=[],
+            system_prompt=(
+                "Você é o AgentVoice, um assistente por voz. "
+                "Responda em português brasileiro, de forma "
+                "natural, breve e contextual. "
+                "Considere as mensagens anteriores da conversa. "
+                "Quando o usuário corrigir uma pergunta, "
+                "interprete a correção usando o histórico."
+            ),
+            checkpointer=MemorySaver(),
+        )
+
+        config = {
+            "configurable": {
+                "thread_id": "agentvoice-context-test",
+            }
+        }
+
+        questions = [
+            (
+                "Estou planejando visitar o Japão. "
+                "Guarde esse destino no contexto da conversa."
+            ),
+            (
+                "Qual foi o país que mencionei anteriormente? "
+                "Responda somente com o nome do país."
+            ),
+        ]
+
+        for number, question in enumerate(questions, 1):
+            print(f"\n--- Turn {number} ---")
+            print("User:", question)
+
+            result = await agent.ainvoke(
+                {
+                    "messages": [
+                        HumanMessage(content=question)
+                    ]
+                },
+                config=config,
+            )
+
+            messages = result.get("messages", [])
+
+            response = next(
+                (
+                    message.content
+                    for message in reversed(messages)
+                    if message.type == "ai"
+                    and isinstance(message.content, str)
+                    and message.content.strip()
+                ),
+                None,
+            )
+
+            if not response:
+                raise RuntimeError(
+                    f"Turn {number} returned no AI response."
+                )
+
+            print("Agent:", response)
+
+    finally:
+        await model.aclose()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())