Support LiteLLM

src/examples/crewai_example/trip_planner/agents.py

@@ -12,9 +12,9 @@ class TravelAgents:
     def __init__(self):
         self.OpenAIGPT35 = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0.7)
         self.OpenAIGPT4 = ChatOpenAI(model_name="gpt-4", temperature=0.7)
-        self.Ollama = ChatOllama(model="openhermes")
+        self.Ollama = ChatOllama(model="llama3")
         self.Cohere = ChatCohere(model="command-r")
-        self.Anthropic = ChatAnthropic(model="claude-3-5-sonnet")
+        self.Anthropic = ChatAnthropic(model="claude-3-5-sonnet-20240620")
 
     def expert_travel_agent(self):
         return Agent(
@@ -28,7 +28,7 @@ def expert_travel_agent(self):
             # tools=[tool_1, tool_2],
             allow_delegation=False,
             verbose=True,
-            llm=self.OpenAIGPT4,
+            llm=self.Cohere,
         )
 
     def city_selection_expert(self):
@@ -39,7 +39,7 @@ def city_selection_expert(self):
             # tools=[tool_1, tool_2],
             allow_delegation=False,
             verbose=True,
-            llm=self.OpenAIGPT4,
+            llm=self.Cohere,
         )
 
     def local_tour_guide(self):
@@ -50,5 +50,5 @@ def local_tour_guide(self):
             # tools=[tool_1, tool_2],
             allow_delegation=False,
             verbose=True,
-            llm=self.OpenAIGPT4,
+            llm=self.Cohere,
         )

src/examples/litellm_example/basic.py

@@ -0,0 +1,98 @@
+from langtrace_python_sdk import with_langtrace_root_span, langtrace
+from dotenv import load_dotenv
+from litellm import completion, acompletion
+import litellm
+import asyncio
+
+load_dotenv()
+
+
+litellm.success_callback = ["langtrace"]
+langtrace.init()
+litellm.set_verbose = False
+
+
+@with_langtrace_root_span("Litellm Example OpenAI")
+def openAI(streaming=False):
+    response = completion(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"content": "respond only in Yoda speak.", "role": "system"},
+            {"content": "Hello, how are you?", "role": "user"},
+        ],
+        stream=streaming,
+        stream_options={"include_usage": True},
+    )
+    if streaming:
+        for _ in response:
+            pass
+    else:
+        return response
+
+
+# @with_langtrace_root_span("Litellm Example Anthropic Completion")
+def anthropic(streaming=False):
+    try:
+
+        response = completion(
+            model="claude-2.1",
+            messages=[
+                {"content": "respond only in Yoda speak.", "role": "system"},
+                {"content": "what is 2 + 2?", "role": "user"},
+            ],
+            temperature=0.5,
+            top_p=0.5,
+            n=1,
+            stream=streaming,
+            stream_options={"include_usage": True},
+        )
+        # print(response)
+        if streaming:
+            for _ in response:
+                pass
+        else:
+            return response
+    except Exception as e:
+        print("ERORRRR", e)
+
+
+# @with_langtrace_root_span("Litellm Example OpenAI Async Streaming")
+async def async_anthropic(streaming=False):
+    response = await acompletion(
+        model="claude-2.1",
+        messages=[{"content": "Hello, how are you?", "role": "user"}],
+        stream=streaming,
+        stream_options={"include_usage": True},
+        temperature=0.5,
+        top_p=0.5,
+        n=1,
+    )
+    if streaming:
+        async for _ in response:
+            pass
+    else:
+        return response
+
+
+def cohere(streaming=False):
+    response = completion(
+        model="command-r",
+        messages=[
+            {"content": "respond only in Yoda speak.", "role": "system"},
+            {"content": "Hello, how are you?", "role": "user"},
+        ],
+        stream=streaming,
+        stream_options={"include_usage": True},
+    )
+    if streaming:
+        for _ in response:
+            pass
+    else:
+        return response
+
+
+if __name__ == "__main__":
+    # openAI()
+    anthropic(streaming=False)
+    cohere(streaming=True)
+    # asyncio.run(async_anthropic(streaming=True))

src/langtrace_python_sdk/langtrace.py

@@ -72,7 +72,7 @@ def init(
     disable_instrumentations: Optional[DisableInstrumentations] = None,
     disable_tracing_for_functions: Optional[InstrumentationMethods] = None,
     service_name: Optional[str] = None,
-    disable_logging = False
+    disable_logging=False,
 ):
     if disable_logging:
         sys.stdout = open(os.devnull, "w")
@@ -93,7 +93,9 @@ def init(
     provider = TracerProvider(resource=resource, sampler=sampler)
 
     remote_write_exporter = (
-        LangTraceExporter(api_key=api_key, api_host=host, disable_logging=disable_logging)
+        LangTraceExporter(
+            api_key=api_key, api_host=host, disable_logging=disable_logging
+        )
         if custom_remote_exporter is None
         else custom_remote_exporter
     )