feat(langfuse_endpoints.py): support langfuse pass through endpoints …

…by default

litellm/proxy/proxy_server.py

@@ -233,6 +233,9 @@ def generate_feedback_box():
 from litellm.proxy.vertex_ai_endpoints.google_ai_studio_endpoints import (
     router as gemini_router,
 )
+from litellm.proxy.vertex_ai_endpoints.langfuse_endpoints import (
+    router as langfuse_router,
+)
 from litellm.proxy.vertex_ai_endpoints.vertex_endpoints import router as vertex_router
 from litellm.proxy.vertex_ai_endpoints.vertex_endpoints import set_default_vertex_config
 from litellm.router import (
@@ -9738,6 +9741,7 @@ def cleanup_router_config_variables():
 app.include_router(fine_tuning_router)
 app.include_router(vertex_router)
 app.include_router(gemini_router)
+app.include_router(langfuse_router)
 app.include_router(pass_through_router)
 app.include_router(health_router)
 app.include_router(key_management_router)

litellm/proxy/vertex_ai_endpoints/google_ai_studio_endpoints.py

@@ -1,7 +1,7 @@
 """
 What is this? 
 
-Google AI Studio Pass-Through Endpoints
+Provider-specific Pass-Through Endpoints
 """
 
 """

litellm/proxy/vertex_ai_endpoints/langfuse_endpoints.py

@@ -0,0 +1,117 @@
+"""
+What is this? 
+
+Logging Pass-Through Endpoints
+"""
+
+"""
+1. Create pass-through endpoints for any LITELLM_BASE_URL/langfuse/<endpoint> map to LANGFUSE_BASE_URL/<endpoint>
+"""
+
+import ast
+import asyncio
+import base64
+import traceback
+from base64 import b64encode
+from datetime import datetime, timedelta, timezone
+from typing import List, Optional
+from urllib.parse import urlencode
+
+import fastapi
+import httpx
+from fastapi import (
+    APIRouter,
+    Depends,
+    File,
+    Form,
+    Header,
+    HTTPException,
+    Request,
+    Response,
+    UploadFile,
+    status,
+)
+from starlette.datastructures import QueryParams
+
+import litellm
+from litellm._logging import verbose_proxy_logger
+from litellm.batches.main import FileObject
+from litellm.fine_tuning.main import vertex_fine_tuning_apis_instance
+from litellm.proxy._types import *
+from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
+from litellm.proxy.pass_through_endpoints.pass_through_endpoints import (
+    create_pass_through_route,
+)
+
+router = APIRouter()
+default_vertex_config = None
+
+
+def create_request_copy(request: Request):
+    return {
+        "method": request.method,
+        "url": str(request.url),
+        "headers": dict(request.headers),
+        "cookies": request.cookies,
+        "query_params": dict(request.query_params),
+    }
+
+
+@router.api_route("/langfuse/{endpoint:path}", methods=["GET", "POST", "PUT", "DELETE"])
+async def langfuse_proxy_route(
+    endpoint: str,
+    request: Request,
+    fastapi_response: Response,
+):
+    ## CHECK FOR LITELLM API KEY IN THE QUERY PARAMS - ?..key=LITELLM_API_KEY
+    api_key = request.headers.get("Authorization") or ""
+
+    ## decrypt base64 hash
+    api_key = api_key.replace("Basic ", "")
+
+    decoded_bytes = base64.b64decode(api_key)
+    decoded_str = decoded_bytes.decode("utf-8")
+    api_key = decoded_str.split(":")[1]
+
+    user_api_key_dict = await user_api_key_auth(
+        request=request, api_key="Bearer {}".format(api_key)
+    )
+
+    base_target_url = os.getenv("LANGFUSE_HOST", "https://cloud.langfuse.com")
+    if not (
+        base_target_url.startswith("http://") or base_target_url.startswith("https://")
+    ):
+        # add http:// if unset, assume communicating over private network - e.g. render
+        base_target_url = "http://" + base_target_url
+
+    encoded_endpoint = httpx.URL(endpoint).path
+
+    # Ensure endpoint starts with '/' for proper URL construction
+    if not encoded_endpoint.startswith("/"):
+        encoded_endpoint = "/" + encoded_endpoint
+
+    # Construct the full target URL using httpx
+    base_url = httpx.URL(base_target_url)
+    updated_url = base_url.copy_with(path=encoded_endpoint)
+
+    # Add or update query parameters
+    langfuse_public_key = litellm.utils.get_secret(secret_name="LANGFUSE_PUBLIC_KEY")
+    langfuse_secret_key = litellm.utils.get_secret(secret_name="LANGFUSE_SECRET_KEY")
+
+    langfuse_combined_key = "Basic " + b64encode(
+        f"{langfuse_public_key}:{langfuse_secret_key}".encode("utf-8")
+    ).decode("ascii")
+
+    ## CREATE PASS-THROUGH
+    endpoint_func = create_pass_through_route(
+        endpoint=endpoint,
+        target=str(updated_url),
+        custom_headers={"Authorization": langfuse_combined_key},
+    )  # dynamically construct pass-through endpoint based on incoming path
+    received_value = await endpoint_func(
+        request,
+        fastapi_response,
+        user_api_key_dict,
+    )
+
+    return received_value