update to proper sdk version

Author: miwialex

README.md

@@ -6,7 +6,7 @@ A curated collection of production-ready workflow examples demonstrating various
 
 These examples demonstrate how to build robust, scalable workflows using Render's Python SDK. All examples follow best practices for production deployments and include comprehensive documentation.
 
-Render Workflows support both Python and TypeScript. This repo contains Python examples using the `render-sdk` package, deployed as Workflow services on Render.
+Render Workflows support both Python and TypeScript. This repo contains Python examples using the `render` package, deployed as Workflow services on Render.
 
 ## Examples
 

data-pipeline/README.md

@@ -179,7 +179,7 @@ Input:
 Once deployed, trigger the pipeline via the Render API or SDK:
 
 ```python
-from render_sdk import Render
+from render import Render
 
 # Uses RENDER_API_KEY environment variable automatically
 render = Render()
@@ -379,7 +379,7 @@ async def send_pipeline_notification(ctx: TaskContext, result: dict) -> dict:
 
 ## Important Notes
 
-- **Python-only**: Workflows are only supported in Python via render-sdk
+- **Python-only**: Workflows are only supported in Python via `render`
 - **No Blueprint Support**: Workflows don't support render.yaml blueprint configuration
 - **Mock Data**: Example uses simulated data; replace with real API calls in production
 - **Idempotency**: Design pipeline to be safely re-runnable

data-pipeline/main.py

@@ -17,7 +17,7 @@
 import logging
 from datetime import datetime, timedelta
 
-from render_sdk import Retry, TaskContext, Workflows
+from render import Retry, TaskContext, Workflows
 
 # Configure logging
 logging.basicConfig(

data-pipeline/requirements.txt

@@ -1,2 +1,2 @@
-render-sdk>=0.5.0
+render>=1.0.1
 httpx>=0.27.0

etl-job/README.md

@@ -126,7 +126,7 @@ Input:
 Once deployed, trigger the ETL pipeline via the Render API or SDK:
 
 ```python
-from render_sdk import Render
+from render import Render
 
 # Uses RENDER_API_KEY environment variable automatically
 render = Render()
@@ -220,6 +220,6 @@ async def transform_batch_parallel(ctx: TaskContext, records: list[dict]) -> dic
 
 ## Important Notes
 
-- **Python-only**: Workflows are only supported in Python via render-sdk
+- **Python-only**: Workflows are only supported in Python via `render`
 - **No Blueprint Support**: Workflows don't support render.yaml blueprint configuration
 - **Service Type**: Deploy as a Workflow service on Render (not Background Worker or Web Service)

etl-job/main.py

@@ -17,7 +17,7 @@
 from datetime import datetime
 from pathlib import Path
 
-from render_sdk import Retry, TaskContext, Workflows
+from render import Retry, TaskContext, Workflows
 
 # Configure logging
 logging.basicConfig(

etl-job/requirements.txt

@@ -1 +1 @@
-render-sdk>=0.5.0
+render>=1.0.1

file-analyzer/README.md

@@ -204,7 +204,7 @@ async def analyze_file(ctx: TaskContext, file_content: str) -> dict:
 The API service demonstrates the complete Client SDK workflow:
 
 ```python
-from render_sdk import Render
+from render import Render
 
 # 1. Get client instance (uses RENDER_API_KEY env var automatically)
 render = Render()
@@ -495,7 +495,7 @@ Contains customer information with columns:
 
 **Creating the Client:**
 ```python
-from render_sdk import Render
+from render import Render
 
 # Uses RENDER_API_KEY environment variable automatically
 render = Render()
@@ -522,7 +522,7 @@ print(result.results)  # Return value from task
 
 **Defining Tasks:**
 ```python
-from render_sdk import TaskContext, Workflows
+from render import TaskContext, Workflows
 
 app = Workflows()
 
@@ -676,7 +676,7 @@ def parse_excel_data(ctx: TaskContext, file_content: bytes) -> dict:
 
 ## Important Notes
 
-- **Python-only**: Render Workflows are only supported in Python via `render-sdk`
+- **Python-only**: Render Workflows are only supported in Python via `render`
 - **No Blueprint Support**: Workflows don't support `render.yaml` blueprint configuration
 - **Service Types**: Workflow service (for tasks) vs Web Service (for API)
 - **Task Arguments**: Passed as a dict: `{"arg1": value1, "arg2": value2}`
@@ -687,7 +687,7 @@ def parse_excel_data(ctx: TaskContext, file_content: bytes) -> dict:
 ## Resources
 
 - [Render Workflows Documentation](https://docs.render.com/workflows)
-- [Render SDK on PyPI](https://pypi.org/project/render-sdk/)
+- [Render SDK on PyPI](https://pypi.org/project/render/)
 - [FastAPI Documentation](https://fastapi.tiangolo.com/)
 - [Render Dashboard](https://dashboard.render.com/)
 

file-analyzer/api-service/main.py

@@ -16,8 +16,8 @@
 from typing import Any
 from fastapi import FastAPI, File, UploadFile, HTTPException
 from fastapi.middleware.cors import CORSMiddleware
-from render_sdk import RenderAsync
-from render_sdk.client.errors import RenderError, TaskRunError
+from render import RenderAsync
+from render.client.errors import RenderError, TaskRunError
 from pydantic import BaseModel
 
 # Configure logging

file-analyzer/api-service/requirements.txt

@@ -1,4 +1,4 @@
-render-sdk>=0.5.0
+render>=1.0.1
 fastapi>=0.110.0
 uvicorn[standard]>=0.27.0
 python-multipart>=0.0.9