fixbug: llm.timeout not working

config/config2.example.yaml

@@ -4,6 +4,7 @@ llm:
   api_key: "YOUR_API_KEY"
   model: "gpt-4-turbo-preview"  # or gpt-3.5-turbo-1106 / gpt-4-1106-preview
   proxy: "YOUR_PROXY"  # for LLM API requests
+  # timeout: 600 # Optional. If set to 0, default value is 300.
   pricing_plan: "" # Optional. If invalid, it will be automatically filled in with the value of the `model`.
   # Azure-exclusive pricing plan mappings：
   # - gpt-3.5-turbo 4k: "gpt-3.5-turbo-1106"

metagpt/actions/action_node.py

@@ -17,6 +17,7 @@
 from tenacity import retry, stop_after_attempt, wait_random_exponential
 
 from metagpt.actions.action_outcls_registry import register_action_outcls
+from metagpt.const import USE_CONFIG_TIMEOUT
 from metagpt.llm import BaseLLM
 from metagpt.logs import logger
 from metagpt.provider.postprocess.llm_output_postprocess import llm_output_postprocess
@@ -416,7 +417,7 @@ async def _aask_v1(
         images: Optional[Union[str, list[str]]] = None,
         system_msgs: Optional[list[str]] = None,
         schema="markdown",  # compatible to original format
-        timeout=3,
+        timeout=USE_CONFIG_TIMEOUT,
     ) -> (str, BaseModel):
         """Use ActionOutput to wrap the output of aask"""
         content = await self.llm.aask(prompt, system_msgs, images=images, timeout=timeout)
@@ -448,7 +449,9 @@ def set_llm(self, llm):
     def set_context(self, context):
         self.set_recursive("context", context)
 
-    async def simple_fill(self, schema, mode, images: Optional[Union[str, list[str]]] = None, timeout=3, exclude=None):
+    async def simple_fill(
+        self, schema, mode, images: Optional[Union[str, list[str]]] = None, timeout=USE_CONFIG_TIMEOUT, exclude=None
+    ):
         prompt = self.compile(context=self.context, schema=schema, mode=mode, exclude=exclude)
 
         if schema != "raw":
@@ -473,7 +476,7 @@ async def fill(
         mode="auto",
         strgy="simple",
         images: Optional[Union[str, list[str]]] = None,
-        timeout=3,
+        timeout=USE_CONFIG_TIMEOUT,
         exclude=[],
     ):
         """Fill the node(s) with mode.

metagpt/configs/llm_config.py

@@ -10,6 +10,7 @@
 
 from pydantic import field_validator
 
+from metagpt.const import LLM_API_TIMEOUT
 from metagpt.utils.yaml_model import YamlModel
 
 
@@ -74,7 +75,7 @@ class LLMConfig(YamlModel):
     stream: bool = False
     logprobs: Optional[bool] = None  # https://cookbook.openai.com/examples/using_logprobs
     top_logprobs: Optional[int] = None
-    timeout: int = 60
+    timeout: int = 600
 
     # For Network
     proxy: Optional[str] = None
@@ -88,3 +89,8 @@ def check_llm_key(cls, v):
         if v in ["", None, "YOUR_API_KEY"]:
             raise ValueError("Please set your API key in config2.yaml")
         return v
+
+    @field_validator("timeout")
+    @classmethod
+    def check_timeout(cls, v):
+        return v or LLM_API_TIMEOUT

metagpt/const.py

@@ -123,7 +123,6 @@ def get_metagpt_root():
 
 # REDIS
 REDIS_KEY = "REDIS_KEY"
-LLM_API_TIMEOUT = 300
 
 # Message id
 IGNORED_MESSAGE_ID = "0"
@@ -132,3 +131,7 @@ def get_metagpt_root():
 GENERALIZATION = "Generalize"
 COMPOSITION = "Composite"
 AGGREGATION = "Aggregate"
+
+# Timeout
+USE_CONFIG_TIMEOUT = 0  # Using llm.timeout configuration.
+LLM_API_TIMEOUT = 300

metagpt/provider/anthropic_api.py

@@ -5,6 +5,7 @@
 from anthropic.types import Message, Usage
 
 from metagpt.configs.llm_config import LLMConfig, LLMType
+from metagpt.const import USE_CONFIG_TIMEOUT
 from metagpt.logs import log_llm_stream
 from metagpt.provider.base_llm import BaseLLM
 from metagpt.provider.llm_provider_registry import register_provider
@@ -41,15 +42,15 @@ def _update_costs(self, usage: Usage, model: str = None, local_calc_usage: bool
     def get_choice_text(self, resp: Message) -> str:
         return resp.content[0].text
 
-    async def _achat_completion(self, messages: list[dict], timeout: int = 3) -> Message:
+    async def _achat_completion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> Message:
         resp: Message = await self.aclient.messages.create(**self._const_kwargs(messages))
         self._update_costs(resp.usage, self.model)
         return resp
 
-    async def acompletion(self, messages: list[dict], timeout: int = 3) -> Message:
-        return await self._achat_completion(messages, timeout=timeout)
+    async def acompletion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> Message:
+        return await self._achat_completion(messages, timeout=self.get_timeout(timeout))
 
-    async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3) -> str:
+    async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str:
         stream = await self.aclient.messages.create(**self._const_kwargs(messages, stream=True))
         collected_content = []
         usage = Usage(input_tokens=0, output_tokens=0)

metagpt/provider/base_llm.py

@@ -23,6 +23,7 @@
 )
 
 from metagpt.configs.llm_config import LLMConfig
+from metagpt.const import LLM_API_TIMEOUT, USE_CONFIG_TIMEOUT
 from metagpt.logs import logger
 from metagpt.schema import Message
 from metagpt.utils.common import log_and_reraise
@@ -108,7 +109,7 @@ async def aask(
         system_msgs: Optional[list[str]] = None,
         format_msgs: Optional[list[dict[str, str]]] = None,
         images: Optional[Union[str, list[str]]] = None,
-        timeout=3,
+        timeout=USE_CONFIG_TIMEOUT,
         stream=True,
     ) -> str:
         if system_msgs:
@@ -124,31 +125,31 @@ async def aask(
         else:
             message.extend(msg)
         logger.debug(message)
-        rsp = await self.acompletion_text(message, stream=stream, timeout=timeout)
+        rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout))
         return rsp
 
     def _extract_assistant_rsp(self, context):
         return "\n".join([i["content"] for i in context if i["role"] == "assistant"])
 
-    async def aask_batch(self, msgs: list, timeout=3) -> str:
+    async def aask_batch(self, msgs: list, timeout=USE_CONFIG_TIMEOUT) -> str:
         """Sequential questioning"""
         context = []
         for msg in msgs:
             umsg = self._user_msg(msg)
             context.append(umsg)
-            rsp_text = await self.acompletion_text(context, timeout=timeout)
+            rsp_text = await self.acompletion_text(context, timeout=self.get_timeout(timeout))
             context.append(self._assistant_msg(rsp_text))
         return self._extract_assistant_rsp(context)
 
-    async def aask_code(self, messages: Union[str, Message, list[dict]], timeout=3, **kwargs) -> dict:
+    async def aask_code(self, messages: Union[str, Message, list[dict]], timeout=USE_CONFIG_TIMEOUT, **kwargs) -> dict:
         raise NotImplementedError
 
     @abstractmethod
-    async def _achat_completion(self, messages: list[dict], timeout=3):
+    async def _achat_completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT):
         """_achat_completion implemented by inherited class"""
 
     @abstractmethod
-    async def acompletion(self, messages: list[dict], timeout=3):
+    async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT):
         """Asynchronous version of completion
         All GPTAPIs are required to provide the standard OpenAI completion interface
         [
@@ -159,7 +160,7 @@ async def acompletion(self, messages: list[dict], timeout=3):
         """
 
     @abstractmethod
-    async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3) -> str:
+    async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str:
         """_achat_completion_stream implemented by inherited class"""
 
     @retry(
@@ -169,11 +170,13 @@ async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3)
         retry=retry_if_exception_type(ConnectionError),
         retry_error_callback=log_and_reraise,
     )
-    async def acompletion_text(self, messages: list[dict], stream: bool = False, timeout: int = 3) -> str:
+    async def acompletion_text(
+        self, messages: list[dict], stream: bool = False, timeout: int = USE_CONFIG_TIMEOUT
+    ) -> str:
         """Asynchronous version of completion. Return str. Support stream-print"""
         if stream:
-            return await self._achat_completion_stream(messages, timeout=timeout)
-        resp = await self._achat_completion(messages, timeout=timeout)
+            return await self._achat_completion_stream(messages, timeout=self.get_timeout(timeout))
+        resp = await self._achat_completion(messages, timeout=self.get_timeout(timeout))
         return self.get_choice_text(resp)
 
     def get_choice_text(self, rsp: dict) -> str:
@@ -236,3 +239,6 @@ def with_model(self, model: str):
         """Set model and return self. For example, `with_model("gpt-3.5-turbo")`."""
         self.config.model = model
         return self
+
+    def get_timeout(self, timeout: int) -> int:
+        return timeout or self.config.timeout or LLM_API_TIMEOUT

metagpt/provider/dashscope_api.py

@@ -25,6 +25,7 @@
     UnsupportedApiProtocol,
 )
 
+from metagpt.const import USE_CONFIG_TIMEOUT
 from metagpt.logs import log_llm_stream
 from metagpt.provider.base_llm import BaseLLM, LLMConfig
 from metagpt.provider.llm_provider_registry import LLMType, register_provider
@@ -202,16 +203,16 @@ def completion(self, messages: list[dict]) -> GenerationOutput:
         self._update_costs(dict(resp.usage))
         return resp.output
 
-    async def _achat_completion(self, messages: list[dict], timeout: int = 3) -> GenerationOutput:
+    async def _achat_completion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> GenerationOutput:
         resp: GenerationResponse = await self.aclient.acall(**self._const_kwargs(messages, stream=False))
         self._check_response(resp)
         self._update_costs(dict(resp.usage))
         return resp.output
 
-    async def acompletion(self, messages: list[dict], timeout=3) -> GenerationOutput:
-        return await self._achat_completion(messages, timeout=timeout)
+    async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> GenerationOutput:
+        return await self._achat_completion(messages, timeout=self.get_timeout(timeout))
 
-    async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3) -> str:
+    async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str:
         resp = await self.aclient.acall(**self._const_kwargs(messages, stream=True))
         collected_content = []
         usage = {}

metagpt/provider/general_api_base.py

@@ -573,7 +573,7 @@ async def arequest_raw(
                 total=request_timeout[1],
             )
         else:
-            timeout = aiohttp.ClientTimeout(total=request_timeout if request_timeout else TIMEOUT_SECS)
+            timeout = aiohttp.ClientTimeout(total=request_timeout or TIMEOUT_SECS)
 
         if files:
             # TODO: Use `aiohttp.MultipartWriter` to create the multipart form data here.

metagpt/provider/google_gemini_api.py

@@ -15,6 +15,7 @@
 )
 
 from metagpt.configs.llm_config import LLMConfig, LLMType
+from metagpt.const import USE_CONFIG_TIMEOUT
 from metagpt.logs import log_llm_stream
 from metagpt.provider.base_llm import BaseLLM
 from metagpt.provider.llm_provider_registry import register_provider
@@ -88,16 +89,18 @@ def completion(self, messages: list[dict]) -> "GenerateContentResponse":
         self._update_costs(usage)
         return resp
 
-    async def _achat_completion(self, messages: list[dict], timeout: int = 3) -> "AsyncGenerateContentResponse":
+    async def _achat_completion(
+        self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT
+    ) -> "AsyncGenerateContentResponse":
         resp: AsyncGenerateContentResponse = await self.llm.generate_content_async(**self._const_kwargs(messages))
         usage = await self.aget_usage(messages, resp.text)
         self._update_costs(usage)
         return resp
 
-    async def acompletion(self, messages: list[dict], timeout=3) -> dict:
-        return await self._achat_completion(messages, timeout=timeout)
+    async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> dict:
+        return await self._achat_completion(messages, timeout=self.get_timeout(timeout))
 
-    async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3) -> str:
+    async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str:
         resp: AsyncGenerateContentResponse = await self.llm.generate_content_async(
             **self._const_kwargs(messages, stream=True)
         )

metagpt/provider/human_provider.py

@@ -6,6 +6,7 @@
 from typing import Optional
 
 from metagpt.configs.llm_config import LLMConfig
+from metagpt.const import USE_CONFIG_TIMEOUT
 from metagpt.logs import logger
 from metagpt.provider.base_llm import BaseLLM
 
@@ -18,7 +19,7 @@ class HumanProvider(BaseLLM):
     def __init__(self, config: LLMConfig):
         pass
 
-    def ask(self, msg: str, timeout=3) -> str:
+    def ask(self, msg: str, timeout=USE_CONFIG_TIMEOUT) -> str:
         logger.info("It's your turn, please type in your response. You may also refer to the context below")
         rsp = input(msg)
         if rsp in ["exit", "quit"]:
@@ -31,20 +32,20 @@ async def aask(
         system_msgs: Optional[list[str]] = None,
         format_msgs: Optional[list[dict[str, str]]] = None,
         generator: bool = False,
-        timeout=3,
+        timeout=USE_CONFIG_TIMEOUT,
     ) -> str:
-        return self.ask(msg, timeout=timeout)
+        return self.ask(msg, timeout=self.get_timeout(timeout))
 
-    async def _achat_completion(self, messages: list[dict], timeout=3):
+    async def _achat_completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT):
         pass
 
-    async def acompletion(self, messages: list[dict], timeout=3):
+    async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT):
         """dummy implementation of abstract method in base"""
         return []
 
-    async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3) -> str:
+    async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str:
         pass
 
-    async def acompletion_text(self, messages: list[dict], stream=False, timeout=3) -> str:
+    async def acompletion_text(self, messages: list[dict], stream=False, timeout=USE_CONFIG_TIMEOUT) -> str:
         """dummy implementation of abstract method in base"""
         return ""

metagpt/provider/ollama_api.py

@@ -5,7 +5,7 @@
 import json
 
 from metagpt.configs.llm_config import LLMConfig, LLMType
-from metagpt.const import LLM_API_TIMEOUT
+from metagpt.const import USE_CONFIG_TIMEOUT
 from metagpt.logs import log_llm_stream
 from metagpt.provider.base_llm import BaseLLM
 from metagpt.provider.general_api_requestor import GeneralAPIRequestor
@@ -50,28 +50,28 @@ def _decode_and_load(self, chunk: bytes, encoding: str = "utf-8") -> dict:
         chunk = chunk.decode(encoding)
         return json.loads(chunk)
 
-    async def _achat_completion(self, messages: list[dict], timeout: int = 3) -> dict:
+    async def _achat_completion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> dict:
         resp, _, _ = await self.client.arequest(
             method=self.http_method,
             url=self.suffix_url,
             params=self._const_kwargs(messages),
-            request_timeout=LLM_API_TIMEOUT,
+            request_timeout=self.get_timeout(timeout),
         )
         resp = self._decode_and_load(resp)
         usage = self.get_usage(resp)
         self._update_costs(usage)
         return resp
 
-    async def acompletion(self, messages: list[dict], timeout=3) -> dict:
-        return await self._achat_completion(messages, timeout=timeout)
+    async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> dict:
+        return await self._achat_completion(messages, timeout=self.get_timeout(timeout))
 
-    async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3) -> str:
+    async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str:
         stream_resp, _, _ = await self.client.arequest(
             method=self.http_method,
             url=self.suffix_url,
             stream=True,
             params=self._const_kwargs(messages, stream=True),
-            request_timeout=LLM_API_TIMEOUT,
+            request_timeout=self.get_timeout(timeout),
         )
 
         collected_content = []