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https://github.com/FoundationAgents/MetaGPT.git
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add thought stream report
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parent
b056be5384
commit
93e4c12610
5 changed files with 11 additions and 12 deletions
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@ -82,7 +82,7 @@ class DataAnalyst(DataInterpreter):
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available_commands=prepare_command_prompt(self.available_commands),
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)
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context = self.llm.format_msg(self.working_memory.get() + [Message(content=prompt, role="user")])
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async with ThoughtReporter():
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async with ThoughtReporter(enable_llm_stream=True):
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rsp = await self.llm.aask(context)
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self.commands = json.loads(CodeParser.parse_code(block=None, text=rsp))
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self.rc.memory.add(Message(content=rsp, role="assistant"))
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@ -74,7 +74,7 @@ class DataInterpreter(Role):
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return True
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prompt = REACT_THINK_PROMPT.format(user_requirement=self.user_requirement, context=context)
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async with ThoughtReporter():
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async with ThoughtReporter(enable_llm_stream=True):
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rsp = await self.llm.aask(prompt)
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rsp_dict = json.loads(CodeParser.parse_code(text=rsp))
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self.working_memory.add(Message(content=rsp_dict["thoughts"], role="assistant"))
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@ -129,7 +129,7 @@ class RoleZero(Role):
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)
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context = self.llm.format_msg(self.rc.memory.get(self.memory_k) + [UserMessage(content=prompt)])
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# print(*context, sep="\n" + "*" * 5 + "\n")
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async with ThoughtReporter():
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async with ThoughtReporter(enable_llm_stream=True):
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self.command_rsp = await self.llm.aask(context, system_msgs=self.system_msg)
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self.rc.memory.add(AIMessage(content=self.command_rsp))
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@ -35,7 +35,7 @@ class Editor:
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os.makedirs(directory)
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with open(path, "w", encoding="utf-8") as f:
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f.write(content)
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self.resource.report(path, "path")
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# self.resource.report(path, "path")
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def read(self, path: str) -> FileBlock:
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"""Read the whole content of a file."""
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@ -51,7 +51,6 @@ class ResourceReporter(BaseModel):
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block: BlockType = Field(description="The type of block that is reporting the resource")
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uuid: UUID = Field(default_factory=uuid4, description="The unique identifier for the resource")
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is_chunk: bool = Field(False, description="Indicates whether the report is a chunk of a stream")
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enable_llm_stream: bool = Field(False, description="Indicates whether to connect to an LLM stream for reporting")
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callback_url: str = Field(METAGPT_REPORTER_DEFAULT_URL, description="The URL to which the report should be sent")
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_llm_task: Optional[asyncio.Task] = PrivateAttr(None)
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@ -153,17 +152,14 @@ class ResourceReporter(BaseModel):
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def __enter__(self):
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"""Enter the synchronous streaming callback context."""
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self.is_chunk = True
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return self
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def __exit__(self, *args, **kwargs):
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"""Exit the synchronous streaming callback context."""
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self.report(None, END_MARKER_NAME)
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self.is_chunk = False
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async def __aenter__(self):
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"""Enter the asynchronous streaming callback context."""
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self.is_chunk = True
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if self.enable_llm_stream:
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queue = create_llm_stream_queue()
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self._llm_task = asyncio.create_task(self._llm_stream_report(queue))
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@ -171,15 +167,18 @@ class ResourceReporter(BaseModel):
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async def __aexit__(self, *args, **kwargs):
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"""Exit the asynchronous streaming callback context."""
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self.is_chunk = False
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if self.enable_llm_stream:
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self._llm_task.cancel()
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await get_llm_stream_queue().put(None)
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await self._llm_task
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self._llm_task = None
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await self.async_report(None, END_MARKER_NAME)
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async def _llm_stream_report(self, queue: asyncio.Queue):
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while self.is_chunk:
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await self.async_report(await queue.get(), "content")
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while True:
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data = await queue.get()
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if data is None:
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return
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await self.async_report(data, "content")
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async def wait_llm_stream_report(self):
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"""Wait for the LLM stream report to complete."""
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