Async Operations
Use the async client for better performance:
from julep import AsyncJulep
import asyncio
async def main():
client = AsyncJulep(api_key="your_julep_api_key")
# Create multiple agents concurrently
agents = await asyncio.gather(*[
client.agents.create(name=f"Agent {i}")
for i in range(5)
])
# Execute multiple tasks concurrently
executions = await asyncio.gather(*[
client.executions.create(task_id=task.id)
for task in tasks
])
if __name__ == "__main__":
asyncio.run(main())
Complex Workflows
Create sophisticated task workflows:
name: Advanced Workflow
description: Complex task with multiple steps and error handling
tools:
- name: web_search
type: integration
integration:
provider: brave
method: search
- name: process_data
type: function
function:
parameters:
type: object
properties:
data:
type: array
items:
type: string
main:
# Parallel processing with error handling
- try:
- map_reduce:
over: _.topics
map:
- tool: web_search
arguments:
query: _
parallelism: 5
catch:
- log: Search failed
- return: {"error": "Search operation failed"}
# Conditional branching
- if: len(_.search_results) > 0
then:
- evaluate:
processed_data: process_results(_.search_results)
else:
- return: {"error": "No results found"}
# Custom aggregation
- evaluate:
summary: aggregate_results(_.processed_data)
confidence: calculate_confidence(_.processed_data)
# Dynamic tool selection
- switch:
- case: _.confidence > 0.8
then:
- tool: high_confidence_processor
- case: _.confidence > 0.5
then:
- tool: medium_confidence_processor
- case: _
then:
- tool: low_confidence_processor
Work in progress. We’re working on a way to allow you to implement your own tools.
Advanced Error Handling
Work in progress. We’re working on a way to handle errors in a more robust way.
Work in progress. We’re working on a way to optimize the performance of the SDK.
Testing Strategies
Work in progress. We’re working on a way to test the SDK.
