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hub / github.com/VectifyAI/PageIndex / _run

Function _run

examples/agentic_vectorless_rag_demo.py:89–129  ·  view source on GitHub ↗
()

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87 )
88
89 async def _run():
90 streamed_run = Runner.run_streamed(agent, prompt)
91 current_stream_kind = None
92 async for event in streamed_run.stream_events():
93 if isinstance(event, RawResponsesStreamEvent):
94 if isinstance(event.data, ResponseReasoningSummaryTextDeltaEvent):
95 if current_stream_kind != "reasoning":
96 if current_stream_kind is not None:
97 print()
98 print("\n[reasoning]: ", end="", flush=True)
99 delta = event.data.delta
100 print(delta, end="", flush=True)
101 current_stream_kind = "reasoning"
102 elif isinstance(event.data, ResponseTextDeltaEvent):
103 if current_stream_kind != "text":
104 if current_stream_kind is not None:
105 print()
106 print("\n[text]: ", end="", flush=True)
107 delta = event.data.delta
108 print(delta, end="", flush=True)
109 current_stream_kind = "text"
110 elif isinstance(event, RunItemStreamEvent):
111 item = event.item
112 if item.type == "tool_call_item":
113 if current_stream_kind is not None:
114 print()
115 raw = item.raw_item
116 args = getattr(raw, "arguments", "{}")
117 args_str = f"({args})" if verbose else ""
118 print(f"\n[tool call]: {raw.name}{args_str}", flush=True)
119 current_stream_kind = None
120 elif item.type == "tool_call_output_item" and verbose:
121 if current_stream_kind is not None:
122 print()
123 output = str(item.output)
124 preview = output[:200] + "..." if len(output) > 200 else output
125 print(f"\n[tool call output]: {preview}", flush=True)
126 current_stream_kind = None
127 if current_stream_kind is not None:
128 print()
129 return "" if not streamed_run.final_output else str(streamed_run.final_output)
130
131 try:
132 asyncio.get_running_loop()

Callers 1

query_agentFunction · 0.85

Calls

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Tested by

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