Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.praison.ai/llms.txt

Use this file to discover all available pages before exploring further.

​
Sequential Workflow

Pass work from one agent to the next, like an assembly line.

​
How Context Flows

Each agent receives the previous output automatically.

​
When to Use

​
Code

from praisonaiagents import Agent, AgentFlow

researcher = Agent(name="Researcher", instructions="Research topics")
analyst = Agent(name="Analyst", instructions="Analyze research findings")
writer = Agent(name="Writer", instructions="Write based on analysis")

# Sequential: researcher → analyst → writer
flow = AgentFlow(steps=[researcher, analyst, writer])
result = flow.start("AI trends in 2024")

​
Example: Blog Post Pipeline

StepAgentReceivesOutputs
1ResearcherTopicFacts, data
2AnalystFactsKey insights
3WriterInsightsDraft article
4EditorDraftPolished post

​
With Callbacks

from praisonaiagents import AgentFlow, WorkflowHooksConfig

flow = AgentFlow(
    steps=[researcher, analyst, writer],
    hooks=WorkflowHooksConfig(
        on_step_complete=lambda name, r: print(f"✅ {name} done")
    )
)

Parallel

All at once (faster)

Routing

Send to specialists