Workflows allow you to connect multiple assistants in a sequential chain passing the output from one step to another in a deterministic way.
Step-by-step guide
- Start by creating 2 agents (you need to have at least 2 agents to be able to create a workflow).
1 import os 2 from superagent.client import Superagent 3 4 client = Superagent( 5 base_url="https://api.beta.superagent.sh", 6 token=os.environ["SUPERAGENT_API_KEY"] 7 ) 8 9 agent1 = client.agent.create( 10 name="Blog Assistant", 11 description="An Assistant that can create blog post contents", 12 avatar="https://example.com/logo.png", # Replace with a real image 13 is_active=True, 14 llm_model="GPT_3_5_TURBO_16K_0613", 15 initial_message="Hi there, how can I help you?", 16 prompt="Create blog post contents." 17 ) 18 19 agent2 = client.agent.create( 20 name="Title Assistant", 21 description="An Assistant that can create a compelling blog post title", 22 avatar="https://example.com/logo2.png", # Replace with a real image 23 is_active=True, 24 llm_model="GPT_3_5_TURBO_16K_0613", 25 initial_message="Hi there, how can I help you?", 26 prompt="Given a blog post, create a compelling title." 27 )
- Next, let’s create a workflow.
1 workflow = client.workflow.create(request={ 2 "name": "Blog Post Generator Workflow", 3 "description": "Useful for generating blog post", 4 })
- Add the workflow steps
1 step1 = client.workflow.add_step(workflow_id=workflow.data.id, request={ 2 "agentId": agent1.data.id, 3 "order": 0 4 }) 5 step2 = client.workflow.add_step(workflow_id=workflow.data.id, request={ 6 "agentId": agent2.data.id, 7 "order": 1 8 })
- Let’s invoke the workflow
1 response = client.workflow.invoke(workflow_id=workflow.data.id, input="create a blog post about AI", enable_streaming=False) 2 print(response)
Full code
1 import os 2 from superagent.client import Superagent 3 4 client = Superagent( 5 base_url="https://api.beta.superagent.sh", 6 token=os.environ["SUPERAGENT_API_KEY"] 7 ) 8 9 agent1 = client.agent.create( 10 name="Blog Assistant", 11 description="An Assistant that can create blog post contents", 12 avatar="https://example.com/logo.png", # Replace with a real image 13 is_active=True, 14 llm_model="GPT_3_5_TURBO_16K_0613", 15 initial_message="Hi there, how can I help you?", 16 prompt="Create blog post contents." 17 ) 18 19 agent2 = client.agent.create( 20 name="Title Assistant", 21 description="An Assistant that can create a compelling blog post title", 22 avatar="https://example.com/logo2.png", # Replace with a real image 23 is_active=True, 24 llm_model="GPT_3_5_TURBO_16K_0613", 25 initial_message="Hi there, how can I help you?", 26 prompt="Given a blog post, create a compelling title." 27 ) 28 29 workflow = client.workflow.create(request={ 30 "name": "Blog Post Generator Workflow", 31 "description": "Useful for generating blog post", 32 }) 33 34 step1 = client.workflow.add_step(workflow_id=workflow.data.id, request={ 35 "agentId": agent1.data.id, 36 "order": 0 37 }) 38 step2 = client.workflow.add_step(workflow_id=workflow.data.id, request={ 39 "agentId": agent2.data.id, 40 "order": 1 41 }) 42 response = client.workflow.invoke(workflow_id=workflow.data.id, 43 input="create a blog post about AI", enable_streaming=False) 44 print(response)