agentera/agently-streaming-and-react

Agently Streaming and ReAct Skill

Use this skill for streaming outputs, runtime stream UX, and ReAct-style tool loops.

Key Patterns

• Use get_generator(type="instant") for structured streaming.
• Use TriggerFlow runtime_stream for live UI output.
• ReAct loop: thought -> action -> observation -> final.

Pitfalls to Avoid (Lessons from NexusTodo)

• Do not stop the loop after a list_tasks if it is only used to locate targets for update/delete; continue to the write action.
• Stop after successful write or query completion to avoid infinite loops.
• Emit task cards only on final/done; stream only thought/observation during execution.
• Keep action enum strict and JSON-only output to prevent parse drift.
• Set LLM temperature=0 to stabilize structured output.

References

• examples/streaming_with_instant_mode.py
• examples/response_event_streams.py
• examples/trigger_flow_with_agent.py
• examples/react_tool_loop.py

Examples

See examples/run.sh for runnable commands.