Merge branch 'release/0.0.2'

.env.example

@@ -39,6 +39,10 @@ SENDGRID_API_KEY="your-sendgrid-api-key"
 EMAIL_FROM="noreply@yourdomain.com"
 APP_URL="https://yourdomain.com"
 
+LANGFUSE_PUBLIC_KEY="your-langfuse-public-key"
+LANGFUSE_SECRET_KEY="your-langfuse-secret-key"
+OTEL_EXPORTER_OTLP_ENDPOINT="https://cloud.langfuse.com/api/public/otel"
+
 # Server settings
 HOST="0.0.0.0"
 PORT=8000

pyproject.toml

@@ -49,6 +49,8 @@ dependencies = [
     "jwcrypto==1.5.6",
     "pyjwt[crypto]==2.9.0",
     "langgraph==0.4.1",
+    "opentelemetry-sdk==1.33.0",
+    "opentelemetry-exporter-otlp==1.33.0",
 ]
 
 [project.optional-dependencies]

src/api/chat_routes.py

@@ -102,9 +102,8 @@ async def websocket_chat(
                         memory_service=memory_service,
                         db=db,
                     ):
-                        # Send each chunk as a JSON message
                         await websocket.send_json(
-                            {"message": chunk, "turn_complete": False}
+                            {"message": json.loads(chunk), "turn_complete": False}
                         )
 
                     # Send signal of complete turn

src/config/settings.py

@@ -84,6 +84,11 @@ class Settings(BaseSettings):
     DEMO_PASSWORD: str = os.getenv("DEMO_PASSWORD", "demo123")
     DEMO_CLIENT_NAME: str = os.getenv("DEMO_CLIENT_NAME", "Demo Client")
 
+    # Langfuse / OpenTelemetry settings
+    LANGFUSE_PUBLIC_KEY: str = os.getenv("LANGFUSE_PUBLIC_KEY", "")
+    LANGFUSE_SECRET_KEY: str = os.getenv("LANGFUSE_SECRET_KEY", "")
+    OTEL_EXPORTER_OTLP_ENDPOINT: str = os.getenv("OTEL_EXPORTER_OTLP_ENDPOINT", "")
+
     class Config:
         env_file = ".env"
         env_file_encoding = "utf-8"

src/main.py

@@ -7,6 +7,7 @@ from fastapi.staticfiles import StaticFiles
 from src.config.database import engine, Base
 from src.config.settings import settings
 from src.utils.logger import setup_logger
+from src.utils.otel import init_otel
 
 # Necessary for other modules
 from src.services.service_providers import session_service  # noqa: F401
@@ -85,6 +86,9 @@ app.include_router(session_router, prefix=API_PREFIX)
 app.include_router(agent_router, prefix=API_PREFIX)
 app.include_router(a2a_router, prefix=API_PREFIX)
 
+# Inicializa o OpenTelemetry para Langfuse
+init_otel()
+
 
 @app.get("/")
 def read_root():

src/services/agent_runner.py

@@ -10,6 +10,9 @@ from src.services.agent_builder import AgentBuilder
 from sqlalchemy.orm import Session
 from typing import Optional, AsyncGenerator
 import asyncio
+import json
+from src.utils.otel import get_tracer
+from opentelemetry import trace
 
 logger = setup_logger(__name__)
 
@@ -24,6 +27,16 @@ async def run_agent(
     db: Session,
     session_id: Optional[str] = None,
     timeout: float = 60.0,
+):
+    tracer = get_tracer()
+    with tracer.start_as_current_span(
+        "run_agent",
+        attributes={
+            "agent_id": agent_id,
+            "external_id": external_id,
+            "session_id": session_id or f"{external_id}_{agent_id}",
+            "message": message,
+        },
     ):
         exit_stack = None
         try:
@@ -109,7 +122,9 @@ async def run_agent(
                         if last_response:
                             await response_queue.put(last_response)
                         else:
-                        await response_queue.put("Finished without specific response")
+                            await response_queue.put(
+                                "Finished without specific response"
+                            )
 
                         execution_completed.set()
                     except Exception as e:
@@ -127,7 +142,9 @@ async def run_agent(
                         p.cancel()
 
                     if not execution_completed.is_set():
-                    logger.warning(f"Agent execution timed out after {timeout} seconds")
+                        logger.warning(
+                            f"Agent execution timed out after {timeout} seconds"
+                        )
                         await response_queue.put(
                             "The response took too long and was interrupted."
                         )
@@ -180,6 +197,17 @@ async def run_agent(
                     # Do not raise the exception to not obscure the original error
 
 
+def convert_sets(obj):
+    if isinstance(obj, set):
+        return list(obj)
+    elif isinstance(obj, dict):
+        return {k: convert_sets(v) for k, v in obj.items()}
+    elif isinstance(obj, list):
+        return [convert_sets(i) for i in obj]
+    else:
+        return obj
+
+
 async def run_agent_stream(
     agent_id: str,
     external_id: str,
@@ -190,6 +218,18 @@ async def run_agent_stream(
     db: Session,
     session_id: Optional[str] = None,
 ) -> AsyncGenerator[str, None]:
+    tracer = get_tracer()
+    span = tracer.start_span(
+        "run_agent_stream",
+        attributes={
+            "agent_id": agent_id,
+            "external_id": external_id,
+            "session_id": session_id or f"{external_id}_{agent_id}",
+            "message": message,
+        },
+    )
+    try:
+        with trace.use_span(span, end_on_exit=True):
             try:
                 logger.info(
                     f"Starting streaming execution of agent {agent_id} for external_id {external_id}"
@@ -246,11 +286,9 @@ async def run_agent_stream(
                     )
 
                     async for event in events_async:
-                if event.content and event.content.parts:
+                        event_dict = event.dict()
-                    text = event.content.parts[0].text
+                        event_dict = convert_sets(event_dict)
-                    if text:
+                        yield json.dumps(event_dict)
-                        yield text
-                        await asyncio.sleep(0)  # Allow other tasks to run
 
                     completed_session = session_service.get_session(
                         app_name=agent_id,
@@ -276,5 +314,9 @@ async def run_agent_stream(
                 logger.error(f"Error processing request: {str(e)}")
                 raise e
             except Exception as e:
-        logger.error(f"Internal error processing request: {str(e)}", exc_info=True)
+                logger.error(
+                    f"Internal error processing request: {str(e)}", exc_info=True
+                )
                 raise InternalServerError(str(e))
+    finally:
+        span.end()

src/services/workflow_agent.py

@@ -304,7 +304,6 @@ class WorkflowAgent(BaseAgent):
                 "session_id": session_id,
             }
 
-        # Função para message-node
         async def message_node_function(
             state: State, node_id: str, node_data: Dict[str, Any]
         ) -> AsyncGenerator[State, None]:
@@ -318,7 +317,6 @@ class WorkflowAgent(BaseAgent):
             session_id = state.get("session_id", "")
             conversation_history = state.get("conversation_history", [])
 
-            # Adiciona a mensagem como um novo Event do tipo agent
             new_event = Event(
                 author="agent",
                 content=Content(parts=[Part(text=message_content)]),
@@ -750,7 +748,7 @@ class WorkflowAgent(BaseAgent):
                 content=Content(parts=[Part(text=user_message)]),
             )
 
-            # Se o histórico estiver vazio, adiciona a mensagem do usuário
+            # If the conversation history is empty, add the user message
             conversation_history = ctx.session.events or []
             if not conversation_history or (len(conversation_history) == 0):
                 conversation_history = [user_event]
@@ -768,16 +766,17 @@ class WorkflowAgent(BaseAgent):
             print("\n🚀 Starting workflow execution:")
             print(f"Initial content: {user_message[:100]}...")
 
-            # Execute the graph with a recursion limit to avoid infinite loops
+            sent_events = 0  # Count of events already sent
-            result = await graph.ainvoke(initial_state, {"recursion_limit": 20})
 
-            # 6. Process and return the result
+            async for state in graph.astream(initial_state, {"recursion_limit": 20}):
-            final_content = result.get("content", [])
+                # The state can be a dict with the node name as a key
-            print(f"\n✅ FINAL RESULT: {final_content[:100]}...")
+                for node_state in state.values():
-
+                    content = node_state.get("content", [])
-            for content in final_content:
+                    # Only send new events
-                if content.author != "user":
+                    for event in content[sent_events:]:
-                    yield content
+                        if event.author != "user":
+                            yield event
+                    sent_events = len(content)
 
             # Execute sub-agents
             for sub_agent in self.sub_agents:

src/utils/otel.py

@@ -0,0 +1,41 @@
+import os
+import base64
+from src.config.settings import settings
+
+from opentelemetry import trace
+from opentelemetry.sdk.resources import Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import BatchSpanProcessor
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+
+_otlp_initialized = False
+
+
+def init_otel():
+    global _otlp_initialized
+    if _otlp_initialized:
+        return
+    if not (
+        settings.LANGFUSE_PUBLIC_KEY
+        and settings.LANGFUSE_SECRET_KEY
+        and settings.OTEL_EXPORTER_OTLP_ENDPOINT
+    ):
+        return
+
+    langfuse_auth = base64.b64encode(
+        f"{settings.LANGFUSE_PUBLIC_KEY}:{settings.LANGFUSE_SECRET_KEY}".encode()
+    ).decode()
+    os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = settings.OTEL_EXPORTER_OTLP_ENDPOINT
+    os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = f"Authorization=Basic {langfuse_auth}"
+
+    provider = TracerProvider(
+        resource=Resource.create({"service.name": "evo_ai_agent"})
+    )
+    exporter = OTLPSpanExporter()
+    provider.add_span_processor(BatchSpanProcessor(exporter))
+    trace.set_tracer_provider(provider)
+    _otlp_initialized = True
+
+
+def get_tracer(name: str = "evo_ai_agent"):
+    return trace.get_tracer(name)