🔀 refactor(endpoints.py): rename predict_flow endpoint to process_flow and update its functionality

🔀 refactor(constants.tsx): update BASE_API_URL to reflect the changes in the predict_flow endpoint name
The predict_flow endpoint has been renamed to process_flow to better reflect its functionality. The inputs are now passed as a dictionary instead of a PredictRequest object. The tweaks parameter is now optional and is passed as a dictionary. The response model has been updated to reflect the changes in the response. The BASE_API_URL constant in constants.tsx has been updated to reflect the changes in the endpoint name.

src/backend/langflow/api/v1/endpoints.py

@@ -1,3 +1,4 @@
+from typing import Optional
 from langflow.cache.utils import save_uploaded_file
 from langflow.database.models.flow import Flow
 from langflow.processing.process import process_graph_cached, process_tweaks
@@ -6,8 +7,7 @@ from langflow.utils.logger import logger
 from fastapi import APIRouter, Depends, HTTPException, UploadFile
 
 from langflow.api.v1.schemas import (
-    PredictRequest,
+    ProcessResponse,
-    PredictResponse,
     UploadFileResponse,
 )
 
@@ -24,14 +24,15 @@ def get_all():
     return build_langchain_types_dict()
 
 
-@router.post("/predict/{flow_id}", response_model=PredictResponse)
+@router.post("/process/{flow_id}", response_model=ProcessResponse)
-async def predict_flow(
+async def process_flow(
-    predict_request: PredictRequest,
     flow_id: str,
+    inputs: dict,
+    tweaks: Optional[dict] = None,
     session: Session = Depends(get_session),
 ):
     """
-    Endpoint to process a message using the flow passed in the bearer token.
+    Endpoint to process an input with a given flow_id.
     """
 
     try:
@@ -42,15 +43,14 @@ async def predict_flow(
         if flow.data is None:
             raise ValueError(f"Flow {flow_id} has no data")
         graph_data = flow.data
-        if predict_request.tweaks:
+        if tweaks:
             try:
-                graph_data = process_tweaks(graph_data, predict_request.tweaks)
+                graph_data = process_tweaks(graph_data, tweaks)
             except Exception as exc:
                 logger.error(f"Error processing tweaks: {exc}")
-        response = process_graph_cached(graph_data, predict_request.message)
+        response = process_graph_cached(graph_data, inputs)
-        return PredictResponse(
+        return ProcessResponse(
-            result=response.get("result", ""),
+            result=response,
-            intermediate_steps=response.get("thought", ""),
         )
     except Exception as e:
         # Log stack trace

src/frontend/src/constants.tsx

@@ -66,7 +66,7 @@ export const getPythonApiCode = (flow: FlowType): string => {
 
 BASE_API_URL = "${window.location.protocol}//${
     window.location.host
-  }/api/v1/predict"
+  }/api/v1/process"
 FLOW_ID = "${flowId}"
 # You can tweak the flow by adding a tweaks dictionary
 # e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
@@ -106,7 +106,7 @@ export const getCurlCode = (flow: FlowType): string => {
   return `curl -X POST \\
   ${window.location.protocol}//${
     window.location.host
-  }/api/v1/predict/${flowId} \\
+  }/api/v1/process/${flowId} \\
   -H 'Content-Type: application/json' \\
   -d '{"message": "Your message", "tweaks": ${JSON.stringify(
     tweaks,