
CrewAI
Python script for CrewAI agents, tasks, and orchestration.
Not generated yet
Studio
Step 1
An agent has a stable name, purpose, context, and task.
Agent name, role, and context.
OpenAI model used by this agent.
OpenAI provider · select a mini model
Instruction assigned to the agent.
Advanced properties are preserved in YAML.
Step 2
Group agents in parallel or in an explicit loop.
Execution group identifier.
Agent execution mode.
Agents included in this module.
Configure the fixed iteration limit.
Advanced properties are preserved in YAML.
Step 3
Review references and order before converting the project.
Drop components into the flow.
Step 4
Blocking errors are separated from portability recommendations.
Step 5
Generate artifacts, review the code, then run the workflow from the Studio.

Python script for CrewAI agents, tasks, and orchestration.
Not generated yet

Python script with Google ADK parallelism and loops.
Not generated yet
Stateful Python graph with native branches, joins, and bounded loops.
Not generated yet
OpenAI agents with deterministic orchestration and built-in traces.
Not generated yet
Production graph workflows with synchronized fan-out and fan-in.
Not generated yet
Native multi-agent graphs with explicit branch synchronization.
Not generated yet
Type-safe agents with deterministic async orchestration.
Not generated yet
Conversational agents, parallel tasks, and bounded teams.
Not generated yet

Stable chat agents with deterministic async orchestration.
Not generated yet
Native agents with deterministic asynchronous workflow hand-offs.
Not generated yet
Checking the local runner…
Generate framework code to preview it.Waiting for an execution…