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This commit is contained in:
James Hush
2025-09-17 11:39:21 +08:00
parent 50a2a0dc86
commit c8a3d65aa4
2 changed files with 40 additions and 13 deletions
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3
examples/foundational/45-openai-agent-basic.py
View File

@@ -172,7 +172,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
"I can help you with weather information, share interesting facts, " "I can help you with weather information, share interesting facts, "
"or just have a conversation. What would you like to know?" "or just have a conversation. What would you like to know?"
), ),
EndFrame(), # Don't send EndFrame() here - that closes the pipeline!
# The conversation should continue after the greeting
] ]
) )

50
src/pipecat/services/openai_agent/agent_service.py
View File

@@ -288,6 +288,8 @@ class OpenAIAgentService(AIService):
self._agent, input_text, context=self._session_config self._agent, input_text, context=self._session_config
) )
has_streaming_deltas = False
# Process the stream events # Process the stream events
async for event in result.stream_events(): async for event in result.stream_events():
if event.type == "raw_response_event": if event.type == "raw_response_event":
@@ -296,19 +298,23 @@ class OpenAIAgentService(AIService):
if hasattr(event.data, "delta") and getattr(event.data, "delta", None): if hasattr(event.data, "delta") and getattr(event.data, "delta", None):
delta_text = getattr(event.data, "delta", "") delta_text = getattr(event.data, "delta", "")
if delta_text: if delta_text:
has_streaming_deltas = True
self._accumulated_text += delta_text
await self.push_frame(LLMTextFrame(text=delta_text)) await self.push_frame(LLMTextFrame(text=delta_text))
elif event.type == "run_item_stream_event": elif event.type == "run_item_stream_event":
# Handle completed items # Handle completed items
if event.item.type == "message_output_item": if event.item.type == "message_output_item":
# Get the complete message text # Only process complete message if we didn't get streaming deltas
message_text = self._extract_message_text(event.item) if not has_streaming_deltas:
if message_text and message_text != self._accumulated_text: message_text = self._extract_message_text(event.item)
# Send any new text that wasn't already streamed logger.debug(
new_text = message_text[len(self._accumulated_text) :] f"Processing complete message (no deltas): {message_text[:50]}..."
if new_text: if len(message_text) > 50
await self.push_frame(LLMTextFrame(text=new_text)) else f"Processing complete message: {message_text}"
self._accumulated_text = message_text )
if message_text:
await self.push_frame(LLMTextFrame(text=message_text))
elif event.item.type == "tool_call_item": elif event.item.type == "tool_call_item":
# Use getattr for safe attribute access # Use getattr for safe attribute access
@@ -359,8 +365,27 @@ class OpenAIAgentService(AIService):
The extracted text content. The extracted text content.
""" """
try: try:
# Handle different message item formats # Handle OpenAI Agents SDK MessageOutputItem format
if hasattr(item, "content"): if hasattr(item, "raw_item") and hasattr(item.raw_item, "content"):
content = item.raw_item.content
if isinstance(content, list):
text_parts = []
for content_part in content:
if hasattr(content_part, "text"):
text_parts.append(content_part.text)
elif (
isinstance(content_part, dict)
and content_part.get("type") == "output_text"
):
text_parts.append(content_part.get("text", ""))
elif isinstance(content_part, dict) and content_part.get("type") == "text":
text_parts.append(content_part.get("text", ""))
return "".join(text_parts)
elif isinstance(content, str):
return content
# Handle direct content attribute
elif hasattr(item, "content"):
if isinstance(item.content, str): if isinstance(item.content, str):
return item.content return item.content
elif isinstance(item.content, list): elif isinstance(item.content, list):
@@ -373,8 +398,9 @@ class OpenAIAgentService(AIService):
text_parts.append(content_part) text_parts.append(content_part)
return "".join(text_parts) return "".join(text_parts)
# Fallback: try to get text through string conversion # If no text content found, return empty string instead of str(item)
return str(item) logger.debug(f"No extractable text content found in item: {type(item)}")
return ""
except Exception as e: except Exception as e:
logger.warning(f"Could not extract text from message item: {e}") logger.warning(f"Could not extract text from message item: {e}")