Merge pull request #3486 from pipecat-ai/pk/fix-nova-sonic-reset-conversation

Fix `AWSNovaSonicLLMService.reset_conversation()`
This commit is contained in:
kompfner
2026-01-20 10:07:38 -05:00
committed by GitHub
3 changed files with 43 additions and 6 deletions

1
changelog/3486.fixed.md Normal file
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@@ -0,0 +1 @@
- Fixed `AWSNovaSonicLLMService.reset_conversation()`, which would previously error out. Now it successfully reconnects and "rehydrates" from the context object.

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@@ -113,6 +113,14 @@ async def load_conversation(params: FunctionCallParams):
# "content": f"{AWSNovaSonicLLMService.AWAIT_TRIGGER_ASSISTANT_RESPONSE_INSTRUCTION}",
# }
# )
# If the last message isn't from the user, add a message asking for a recap
if messages and messages[-1].get("role") != "user":
messages.append(
{
"role": "user",
"content": "Can you catch me up on what we were talking about?",
}
)
params.context.set_messages(messages)
await params.llm.reset_conversation()
# await params.llm.trigger_assistant_response()

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@@ -296,6 +296,7 @@ class AWSNovaSonicLLMService(LLMService):
self._user_text_buffer = ""
self._assistant_text_buffer = ""
self._completed_tool_calls = set()
self._audio_input_started = False
file_path = files("pipecat.services.aws.nova_sonic").joinpath("ready.wav")
with wave.open(file_path.open("rb"), "rb") as wav_file:
@@ -532,14 +533,30 @@ class AWSNovaSonicLLMService(LLMService):
if system_instruction:
await self._send_text_event(text=system_instruction, role=Role.SYSTEM)
# Send conversation history
for message in llm_connection_params["messages"]:
# Send conversation history (except for the last message if it's from the
# user, which we'll send as interactive after starting audio input)
messages = llm_connection_params["messages"]
last_user_message = None
for i, message in enumerate(messages):
# logger.debug(f"Seeding conversation history with message: {message}")
await self._send_text_event(text=message.text, role=message.role)
is_last_message = i == len(messages) - 1
if is_last_message and message.role == Role.USER:
# Save for sending after audio input starts
last_user_message = message
else:
await self._send_text_event(text=message.text, role=message.role)
# Start audio input
await self._send_audio_input_start_event()
# Now send the last user message as interactive to trigger bot response
if last_user_message:
# logger.debug(
# f"Sending last user message as interactive to trigger bot response: {last_user_message}")
await self._send_text_event(
text=last_user_message.text, role=last_user_message.role, interactive=True
)
# Start receiving events
self._receive_task = self.create_task(self._receive_task_handler())
@@ -602,6 +619,7 @@ class AWSNovaSonicLLMService(LLMService):
self._user_text_buffer = ""
self._assistant_text_buffer = ""
self._completed_tool_calls = set()
self._audio_input_started = False
logger.info("Finished disconnecting")
except Exception as e:
@@ -727,8 +745,18 @@ class AWSNovaSonicLLMService(LLMService):
}}
'''
await self._send_client_event(audio_content_start)
self._audio_input_started = True
async def _send_text_event(self, text: str, role: Role):
async def _send_text_event(self, text: str, role: Role, interactive: bool = False):
"""Send a text event to the LLM.
Args:
text: The text content to send.
role: The role associated with the text (e.g., USER, ASSISTANT, SYSTEM).
interactive: Whether the content is interactive. Defaults to False.
False: conversation history or system instruction, sent prior to interactive audio
True: text input sent during (or at the start of) interactive audio
"""
if not self._stream or not self._prompt_name or not text:
return
@@ -741,7 +769,7 @@ class AWSNovaSonicLLMService(LLMService):
"promptName": "{self._prompt_name}",
"contentName": "{content_name}",
"type": "TEXT",
"interactive": true,
"interactive": {json.dumps(interactive)},
"role": "{role.value}",
"textInputConfiguration": {{
"mediaType": "text/plain"
@@ -779,7 +807,7 @@ class AWSNovaSonicLLMService(LLMService):
await self._send_client_event(text_content_end)
async def _send_user_audio_event(self, audio: bytes):
if not self._stream:
if not self._stream or not self._audio_input_started:
return
blob = base64.b64encode(audio)