feat: continue stream processing on client cancel (#3796)
This commit is contained in:
cthomas
@@ -120,260 +120,34 @@ class OpenAIStreamingInterface:
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tool_dicts = [tool["function"] if isinstance(tool, dict) and "function" in tool else tool for tool in self.tools]
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self.fallback_input_tokens += num_tokens_from_functions(tool_dicts)
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prev_message_type = None
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message_index = 0
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try:
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async with stream:
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prev_message_type = None
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message_index = 0
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async for chunk in stream:
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if not self.model or not self.message_id:
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self.model = chunk.model
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self.message_id = chunk.id
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try:
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async for message in self._process_chunk(chunk, ttft_span, prev_message_type, message_index):
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new_message_type = message.message_type
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if new_message_type != prev_message_type:
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if prev_message_type != None:
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message_index += 1
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prev_message_type = new_message_type
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yield message
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except asyncio.CancelledError as e:
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import traceback
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# track usage
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if chunk.usage:
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self.input_tokens += chunk.usage.prompt_tokens
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self.output_tokens += chunk.usage.completion_tokens
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logger.info("Cancelled stream attempt but overriding %s: %s", e, traceback.format_exc())
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async for message in self._process_chunk(chunk, ttft_span, prev_message_type, message_index):
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new_message_type = message.message_type
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if new_message_type != prev_message_type:
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if prev_message_type != None:
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message_index += 1
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prev_message_type = new_message_type
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yield message
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if chunk.choices:
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choice = chunk.choices[0]
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message_delta = choice.delta
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# Don't raise the exception here
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continue
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if message_delta.tool_calls is not None and len(message_delta.tool_calls) > 0:
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tool_call = message_delta.tool_calls[0]
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if tool_call.function.name:
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# If we're waiting for the first key, then we should hold back the name
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# ie add it to a buffer instead of returning it as a chunk
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if self.function_name_buffer is None:
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self.function_name_buffer = tool_call.function.name
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else:
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self.function_name_buffer += tool_call.function.name
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if tool_call.id:
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# Buffer until next time
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if self.function_id_buffer is None:
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self.function_id_buffer = tool_call.id
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else:
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self.function_id_buffer += tool_call.id
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if tool_call.function.arguments:
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# updates_main_json, updates_inner_thoughts = self.function_args_reader.process_fragment(tool_call.function.arguments)
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self.current_function_arguments += tool_call.function.arguments
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updates_main_json, updates_inner_thoughts = self.function_args_reader.process_fragment(
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tool_call.function.arguments
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)
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if self.is_openai_proxy:
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self.fallback_output_tokens += count_tokens(tool_call.function.arguments)
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# If we have inner thoughts, we should output them as a chunk
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if updates_inner_thoughts:
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if prev_message_type and prev_message_type != "reasoning_message":
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message_index += 1
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self.reasoning_messages.append(updates_inner_thoughts)
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reasoning_message = ReasoningMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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reasoning=updates_inner_thoughts,
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# name=name,
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = reasoning_message.message_type
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yield reasoning_message
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# Additionally inner thoughts may stream back with a chunk of main JSON
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# In that case, since we can only return a chunk at a time, we should buffer it
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if updates_main_json:
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if self.function_args_buffer is None:
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self.function_args_buffer = updates_main_json
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else:
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self.function_args_buffer += updates_main_json
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# If we have main_json, we should output a ToolCallMessage
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elif updates_main_json:
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# If there's something in the function_name buffer, we should release it first
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# NOTE: we could output it as part of a chunk that has both name and args,
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# however the frontend may expect name first, then args, so to be
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# safe we'll output name first in a separate chunk
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if self.function_name_buffer:
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# use_assisitant_message means that we should also not release main_json raw, and instead should only release the contents of "message": "..."
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if self.use_assistant_message and self.function_name_buffer == self.assistant_message_tool_name:
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# Store the ID of the tool call so allow skipping the corresponding response
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if self.function_id_buffer:
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self.prev_assistant_message_id = self.function_id_buffer
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else:
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if prev_message_type and prev_message_type != "tool_call_message":
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message_index += 1
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self.tool_call_name = str(self.function_name_buffer)
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tool_call_msg = ToolCallMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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tool_call=ToolCallDelta(
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name=self.function_name_buffer,
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arguments=None,
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tool_call_id=self.function_id_buffer,
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),
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = tool_call_msg.message_type
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yield tool_call_msg
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# Record what the last function name we flushed was
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self.last_flushed_function_name = self.function_name_buffer
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if self.last_flushed_function_id is None:
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self.last_flushed_function_id = self.function_id_buffer
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# Clear the buffer
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self.function_name_buffer = None
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self.function_id_buffer = None
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# Since we're clearing the name buffer, we should store
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# any updates to the arguments inside a separate buffer
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# Add any main_json updates to the arguments buffer
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if self.function_args_buffer is None:
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self.function_args_buffer = updates_main_json
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else:
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self.function_args_buffer += updates_main_json
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# If there was nothing in the name buffer, we can proceed to
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# output the arguments chunk as a ToolCallMessage
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else:
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# use_assistant_message means that we should also not release main_json raw, and instead should only release the contents of "message": "..."
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if self.use_assistant_message and (
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self.last_flushed_function_name is not None
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and self.last_flushed_function_name == self.assistant_message_tool_name
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):
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# do an additional parse on the updates_main_json
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if self.function_args_buffer:
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updates_main_json = self.function_args_buffer + updates_main_json
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self.function_args_buffer = None
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# Pretty gross hardcoding that assumes that if we're toggling into the keywords, we have the full prefix
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match_str = '{"' + self.assistant_message_tool_kwarg + '":"'
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if updates_main_json == match_str:
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updates_main_json = None
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else:
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# Some hardcoding to strip off the trailing "}"
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if updates_main_json in ["}", '"}']:
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updates_main_json = None
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if updates_main_json and len(updates_main_json) > 0 and updates_main_json[-1:] == '"':
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updates_main_json = updates_main_json[:-1]
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if not updates_main_json:
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# early exit to turn into content mode
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continue
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# There may be a buffer from a previous chunk, for example
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# if the previous chunk had arguments but we needed to flush name
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if self.function_args_buffer:
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# In this case, we should release the buffer + new data at once
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combined_chunk = self.function_args_buffer + updates_main_json
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if prev_message_type and prev_message_type != "assistant_message":
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message_index += 1
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assistant_message = AssistantMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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content=combined_chunk,
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = assistant_message.message_type
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yield assistant_message
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# Store the ID of the tool call so allow skipping the corresponding response
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if self.function_id_buffer:
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self.prev_assistant_message_id = self.function_id_buffer
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# clear buffer
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self.function_args_buffer = None
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self.function_id_buffer = None
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else:
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# If there's no buffer to clear, just output a new chunk with new data
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# TODO: THIS IS HORRIBLE
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# TODO: WE USE THE OLD JSON PARSER EARLIER (WHICH DOES NOTHING) AND NOW THE NEW JSON PARSER
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# TODO: THIS IS TOTALLY WRONG AND BAD, BUT SAVING FOR A LARGER REWRITE IN THE NEAR FUTURE
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parsed_args = self.optimistic_json_parser.parse(self.current_function_arguments)
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if parsed_args.get(self.assistant_message_tool_kwarg) and parsed_args.get(
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self.assistant_message_tool_kwarg
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) != self.current_json_parse_result.get(self.assistant_message_tool_kwarg):
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new_content = parsed_args.get(self.assistant_message_tool_kwarg)
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prev_content = self.current_json_parse_result.get(self.assistant_message_tool_kwarg, "")
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# TODO: Assumes consistent state and that prev_content is subset of new_content
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diff = new_content.replace(prev_content, "", 1)
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self.current_json_parse_result = parsed_args
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if prev_message_type and prev_message_type != "assistant_message":
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message_index += 1
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assistant_message = AssistantMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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content=diff,
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# name=name,
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = assistant_message.message_type
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yield assistant_message
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# Store the ID of the tool call so allow skipping the corresponding response
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if self.function_id_buffer:
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self.prev_assistant_message_id = self.function_id_buffer
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# clear buffers
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self.function_id_buffer = None
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else:
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# There may be a buffer from a previous chunk, for example
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# if the previous chunk had arguments but we needed to flush name
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if self.function_args_buffer:
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# In this case, we should release the buffer + new data at once
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combined_chunk = self.function_args_buffer + updates_main_json
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if prev_message_type and prev_message_type != "tool_call_message":
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message_index += 1
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tool_call_msg = ToolCallMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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tool_call=ToolCallDelta(
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name=self.function_name_buffer,
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arguments=combined_chunk,
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tool_call_id=self.function_id_buffer,
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),
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# name=name,
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = tool_call_msg.message_type
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yield tool_call_msg
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# clear buffer
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self.function_args_buffer = None
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self.function_id_buffer = None
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else:
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# If there's no buffer to clear, just output a new chunk with new data
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if prev_message_type and prev_message_type != "tool_call_message":
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message_index += 1
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tool_call_msg = ToolCallMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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tool_call=ToolCallDelta(
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name=None,
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arguments=updates_main_json,
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tool_call_id=self.function_id_buffer,
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),
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# name=name,
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = tool_call_msg.message_type
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yield tool_call_msg
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self.function_id_buffer = None
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except asyncio.CancelledError as e:
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import traceback
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logger.error("Cancelled stream %s: %s", e, traceback.format_exc())
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ttft_span.add_event(
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name="stop_reason",
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attributes={"stop_reason": StopReasonType.cancelled.value, "error": str(e), "stacktrace": traceback.format_exc()},
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)
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raise e
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except Exception as e:
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import traceback
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@@ -386,3 +160,249 @@ class OpenAIStreamingInterface:
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raise e
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finally:
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logger.info("OpenAIStreamingInterface: Stream processing complete.")
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async def _process_chunk(
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self,
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chunk: ChatCompletionChunk,
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ttft_span: Optional["Span"] = None,
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prev_message_type: Optional[str] = None,
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message_index: int = 0,
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) -> AsyncGenerator[LettaMessage | LettaStopReason, None]:
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if not self.model or not self.message_id:
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self.model = chunk.model
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self.message_id = chunk.id
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# track usage
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if chunk.usage:
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self.input_tokens += chunk.usage.prompt_tokens
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self.output_tokens += chunk.usage.completion_tokens
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if chunk.choices:
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choice = chunk.choices[0]
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message_delta = choice.delta
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if message_delta.tool_calls is not None and len(message_delta.tool_calls) > 0:
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tool_call = message_delta.tool_calls[0]
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if tool_call.function.name:
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# If we're waiting for the first key, then we should hold back the name
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# ie add it to a buffer instead of returning it as a chunk
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if self.function_name_buffer is None:
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self.function_name_buffer = tool_call.function.name
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else:
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self.function_name_buffer += tool_call.function.name
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if tool_call.id:
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# Buffer until next time
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if self.function_id_buffer is None:
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self.function_id_buffer = tool_call.id
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else:
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self.function_id_buffer += tool_call.id
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if tool_call.function.arguments:
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# updates_main_json, updates_inner_thoughts = self.function_args_reader.process_fragment(tool_call.function.arguments)
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self.current_function_arguments += tool_call.function.arguments
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updates_main_json, updates_inner_thoughts = self.function_args_reader.process_fragment(tool_call.function.arguments)
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if self.is_openai_proxy:
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self.fallback_output_tokens += count_tokens(tool_call.function.arguments)
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# If we have inner thoughts, we should output them as a chunk
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if updates_inner_thoughts:
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if prev_message_type and prev_message_type != "reasoning_message":
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message_index += 1
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self.reasoning_messages.append(updates_inner_thoughts)
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reasoning_message = ReasoningMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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reasoning=updates_inner_thoughts,
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# name=name,
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = reasoning_message.message_type
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yield reasoning_message
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# Additionally inner thoughts may stream back with a chunk of main JSON
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# In that case, since we can only return a chunk at a time, we should buffer it
|
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if updates_main_json:
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if self.function_args_buffer is None:
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self.function_args_buffer = updates_main_json
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else:
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self.function_args_buffer += updates_main_json
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# If we have main_json, we should output a ToolCallMessage
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elif updates_main_json:
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|
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# If there's something in the function_name buffer, we should release it first
|
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# NOTE: we could output it as part of a chunk that has both name and args,
|
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# however the frontend may expect name first, then args, so to be
|
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# safe we'll output name first in a separate chunk
|
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if self.function_name_buffer:
|
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|
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# use_assisitant_message means that we should also not release main_json raw, and instead should only release the contents of "message": "..."
|
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if self.use_assistant_message and self.function_name_buffer == self.assistant_message_tool_name:
|
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|
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# Store the ID of the tool call so allow skipping the corresponding response
|
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if self.function_id_buffer:
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self.prev_assistant_message_id = self.function_id_buffer
|
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else:
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if prev_message_type and prev_message_type != "tool_call_message":
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message_index += 1
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self.tool_call_name = str(self.function_name_buffer)
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tool_call_msg = ToolCallMessage(
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id=self.letta_message_id,
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date=datetime.now(timezone.utc),
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tool_call=ToolCallDelta(
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name=self.function_name_buffer,
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arguments=None,
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tool_call_id=self.function_id_buffer,
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),
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otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
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)
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prev_message_type = tool_call_msg.message_type
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yield tool_call_msg
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# Record what the last function name we flushed was
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self.last_flushed_function_name = self.function_name_buffer
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if self.last_flushed_function_id is None:
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self.last_flushed_function_id = self.function_id_buffer
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# Clear the buffer
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self.function_name_buffer = None
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self.function_id_buffer = None
|
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# Since we're clearing the name buffer, we should store
|
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# any updates to the arguments inside a separate buffer
|
||||
|
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# Add any main_json updates to the arguments buffer
|
||||
if self.function_args_buffer is None:
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self.function_args_buffer = updates_main_json
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else:
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self.function_args_buffer += updates_main_json
|
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|
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# If there was nothing in the name buffer, we can proceed to
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# output the arguments chunk as a ToolCallMessage
|
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else:
|
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# use_assistant_message means that we should also not release main_json raw, and instead should only release the contents of "message": "..."
|
||||
if self.use_assistant_message and (
|
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self.last_flushed_function_name is not None
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||||
and self.last_flushed_function_name == self.assistant_message_tool_name
|
||||
):
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# do an additional parse on the updates_main_json
|
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if self.function_args_buffer:
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||||
updates_main_json = self.function_args_buffer + updates_main_json
|
||||
self.function_args_buffer = None
|
||||
|
||||
# Pretty gross hardcoding that assumes that if we're toggling into the keywords, we have the full prefix
|
||||
match_str = '{"' + self.assistant_message_tool_kwarg + '":"'
|
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if updates_main_json == match_str:
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updates_main_json = None
|
||||
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||||
else:
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# Some hardcoding to strip off the trailing "}"
|
||||
if updates_main_json in ["}", '"}']:
|
||||
updates_main_json = None
|
||||
if updates_main_json and len(updates_main_json) > 0 and updates_main_json[-1:] == '"':
|
||||
updates_main_json = updates_main_json[:-1]
|
||||
|
||||
if not updates_main_json:
|
||||
# early exit to turn into content mode
|
||||
pass
|
||||
|
||||
# There may be a buffer from a previous chunk, for example
|
||||
# if the previous chunk had arguments but we needed to flush name
|
||||
if self.function_args_buffer:
|
||||
# In this case, we should release the buffer + new data at once
|
||||
combined_chunk = self.function_args_buffer + updates_main_json
|
||||
|
||||
if prev_message_type and prev_message_type != "assistant_message":
|
||||
message_index += 1
|
||||
assistant_message = AssistantMessage(
|
||||
id=self.letta_message_id,
|
||||
date=datetime.now(timezone.utc),
|
||||
content=combined_chunk,
|
||||
otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
|
||||
)
|
||||
prev_message_type = assistant_message.message_type
|
||||
yield assistant_message
|
||||
# Store the ID of the tool call so allow skipping the corresponding response
|
||||
if self.function_id_buffer:
|
||||
self.prev_assistant_message_id = self.function_id_buffer
|
||||
# clear buffer
|
||||
self.function_args_buffer = None
|
||||
self.function_id_buffer = None
|
||||
|
||||
else:
|
||||
# If there's no buffer to clear, just output a new chunk with new data
|
||||
# TODO: THIS IS HORRIBLE
|
||||
# TODO: WE USE THE OLD JSON PARSER EARLIER (WHICH DOES NOTHING) AND NOW THE NEW JSON PARSER
|
||||
# TODO: THIS IS TOTALLY WRONG AND BAD, BUT SAVING FOR A LARGER REWRITE IN THE NEAR FUTURE
|
||||
parsed_args = self.optimistic_json_parser.parse(self.current_function_arguments)
|
||||
|
||||
if parsed_args.get(self.assistant_message_tool_kwarg) and parsed_args.get(
|
||||
self.assistant_message_tool_kwarg
|
||||
) != self.current_json_parse_result.get(self.assistant_message_tool_kwarg):
|
||||
new_content = parsed_args.get(self.assistant_message_tool_kwarg)
|
||||
prev_content = self.current_json_parse_result.get(self.assistant_message_tool_kwarg, "")
|
||||
# TODO: Assumes consistent state and that prev_content is subset of new_content
|
||||
diff = new_content.replace(prev_content, "", 1)
|
||||
self.current_json_parse_result = parsed_args
|
||||
if prev_message_type and prev_message_type != "assistant_message":
|
||||
message_index += 1
|
||||
assistant_message = AssistantMessage(
|
||||
id=self.letta_message_id,
|
||||
date=datetime.now(timezone.utc),
|
||||
content=diff,
|
||||
# name=name,
|
||||
otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
|
||||
)
|
||||
prev_message_type = assistant_message.message_type
|
||||
yield assistant_message
|
||||
|
||||
# Store the ID of the tool call so allow skipping the corresponding response
|
||||
if self.function_id_buffer:
|
||||
self.prev_assistant_message_id = self.function_id_buffer
|
||||
# clear buffers
|
||||
self.function_id_buffer = None
|
||||
else:
|
||||
|
||||
# There may be a buffer from a previous chunk, for example
|
||||
# if the previous chunk had arguments but we needed to flush name
|
||||
if self.function_args_buffer:
|
||||
# In this case, we should release the buffer + new data at once
|
||||
combined_chunk = self.function_args_buffer + updates_main_json
|
||||
if prev_message_type and prev_message_type != "tool_call_message":
|
||||
message_index += 1
|
||||
tool_call_msg = ToolCallMessage(
|
||||
id=self.letta_message_id,
|
||||
date=datetime.now(timezone.utc),
|
||||
tool_call=ToolCallDelta(
|
||||
name=self.function_name_buffer,
|
||||
arguments=combined_chunk,
|
||||
tool_call_id=self.function_id_buffer,
|
||||
),
|
||||
# name=name,
|
||||
otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
|
||||
)
|
||||
prev_message_type = tool_call_msg.message_type
|
||||
yield tool_call_msg
|
||||
# clear buffer
|
||||
self.function_args_buffer = None
|
||||
self.function_id_buffer = None
|
||||
else:
|
||||
# If there's no buffer to clear, just output a new chunk with new data
|
||||
if prev_message_type and prev_message_type != "tool_call_message":
|
||||
message_index += 1
|
||||
tool_call_msg = ToolCallMessage(
|
||||
id=self.letta_message_id,
|
||||
date=datetime.now(timezone.utc),
|
||||
tool_call=ToolCallDelta(
|
||||
name=None,
|
||||
arguments=updates_main_json,
|
||||
tool_call_id=self.function_id_buffer,
|
||||
),
|
||||
# name=name,
|
||||
otid=Message.generate_otid_from_id(self.letta_message_id, message_index),
|
||||
)
|
||||
prev_message_type = tool_call_msg.message_type
|
||||
yield tool_call_msg
|
||||
self.function_id_buffer = None
|
||||
|
||||
Reference in New Issue
Block a user