langchain 从Ollama在随机单元格生成时出现错误400

9udxz4iz  于 3个月前  发布在  其他
关注(0)|答案(9)|浏览(51)

从错误信息来看，这是一个与服务器状态不匹配的问题。具体来说，错误代码为400,错误信息为"unexpected server status: 1"。这可能是由于服务器端的问题导致的。你可以尝试以下方法解决这个问题：

  1. 确保你的网络连接正常，没有被阻止访问LangChain的服务器。
  2. 稍后再次尝试运行代码，看看问题是否仍然存在。有时候服务器可能会暂时出现问题，过一段时间后会自动恢复正常。
  3. 如果问题持续存在，你可以尝试联系LangChain的开发者或社区，寻求他们的帮助。
langchain

9条答案

按热度按时间
n3h0vuf2

n3h0vuf21#

我有一个临时的解决方案，直到上游修复这个问题。你可以像这样添加一个回退选项：

rag_chain_fallback = prompt | llm | StrOutputParser()

rag_chain = rag_chain_fallback.with_fallbacks([rag_chain_fallback])

或者像这样添加一个'重试'选项：

rag_chain = prompt | llm | StrOutputParser()

rag_chain = rag_chain.with_retry()

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z18hc3ub

z18hc3ub2#

感谢，如果遇到任何问题，我会尝试更新。

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eagi6jfj

eagi6jfj3#

with_retry()目前运行良好，感谢@Bassileios。
其他用户请确认是否也遇到了这个问题。这有助于了解我不是唯一一个遇到这个问题的人。

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xkrw2x1b

xkrw2x1b4#

@SinghJivjot也有这个问题。
以相同的方式出现相同的错误。

赞(0）分享  回复(0）举报  3个月前
imzjd6km

imzjd6km5#

精确错误：

File "/home/Test/.local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 166, in invoke
    self.generate_prompt(
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 544, in generate_prompt
    return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 408, in generate
    raise e
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 398, in generate
    self._generate_with_cache(
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 577, in _generate_with_cache
    return self._generate(
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_community/chat_models/ollama.py", line 255, in _generate
    final_chunk = self._chat_stream_with_aggregation(
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_community/chat_models/ollama.py", line 188, in _chat_stream_with_aggregation
    for stream_resp in self._create_chat_stream(messages, stop, **kwargs):
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_community/chat_models/ollama.py", line 161, in _create_chat_stream
    yield from self._create_stream(
  File "/home/Test/.local/lib/python3.10/site-packages/langchain_community/llms/ollama.py", line 240, in _create_stream
    raise ValueError(
ValueError: Ollama call failed with status code 400. Details: unexpected server status: 1

ollama日志显示
level=ERROR source=prompt.go:86 msg="failed to encode prompt" err="unexpected server status: 1"
如果这对任何人有帮助。
如果需要，可以深入挖掘，因为即使对我来说也是非常可重复的，甚至使用".with_retry()"。

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ecr0jaav

ecr0jaav6#

重试在llama本地笔记本的所有链上都有效，除了这一行：

# Compile
app = workflow.compile()

# Test
from pprint import pprint
inputs = {"question": "What are the types of agent memory?"}
for output in app.stream(inputs): # throws the same error

编辑：根据@SinghJivjot的要求提供完整的错误跟踪信息

Traceback (most recent call last):
  File "/home/yan/code_ws/rag-experiment/langgraph_rag_agent_llama3.py", line 421, in <module>
    for output in app.stream(inputs):
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langgraph/pregel/__init__.py", line 710, in stream
    _panic_or_proceed(done, inflight, step)
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langgraph/pregel/__init__.py", line 1126, in _panic_or_proceed
    raise exc
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 2499, in invoke
    input = step.invoke(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 3963, in invoke
    return self._call_with_config(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 1626, in _call_with_config
    context.run(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/runnables/config.py", line 347, in call_func_with_variable_args
    return func(input, **kwargs)  # type: ignore[call-arg]
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 3837, in _invoke
    output = call_func_with_variable_args(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/runnables/config.py", line 347, in call_func_with_variable_args
    return func(input, **kwargs)  # type: ignore[call-arg]
  File "/home/yan/code_ws/rag-experiment/langgraph_rag_agent_llama3.py", line 247, in grade_documents
    score = retrieval_grader.invoke({"question": question, "document": d.page_content})
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 2499, in invoke
    input = step.invoke(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 158, in invoke
    self.generate_prompt(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 560, in generate_prompt
    return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 421, in generate
    raise e
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 411, in generate
    self._generate_with_cache(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 632, in _generate_with_cache
    result = self._generate(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_community/chat_models/ollama.py", line 259, in _generate
    final_chunk = self._chat_stream_with_aggregation(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_community/chat_models/ollama.py", line 190, in _chat_stream_with_aggregation
    for stream_resp in self._create_chat_stream(messages, stop, **kwargs):
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_community/chat_models/ollama.py", line 162, in _create_chat_stream
    yield from self._create_stream(
  File "/home/yan/miniconda3/envs/oscopilot/lib/python3.10/site-packages/langchain_community/llms/ollama.py", line 251, in _create_stream
    raise ValueError(
ValueError: Ollama call failed with status code 400. Details: {"error":"unexpected server status: 1"}

Ollama服务器日志显示相同的“无法编码提示”错误：

Apr 25 23:40:18 yan-Legion-T7-34IAZ7 ollama[1708583]: time=2024-04-25T23:40:18.056-04:00 level=ERROR source=prompt.go:86 msg="failed to encode prompt" err="unexpected server status: >
Apr 25 23:40:18 yan-Legion-T7-34IAZ7 ollama[1708583]: [GIN] 2024/04/25 - 23:40:18 | 400 |   66.817677ms |       127.0.0.1 | POST     "/api/chat"
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mgdq6dx1

mgdq6dx17#

@y22ma Please send the full trace

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q9yhzks0

q9yhzks08#

在将Ollama更新到0.1.9版本后，有时可以采用以下方法解决问题。

赞(0）分享  回复(0）举报  3个月前
hfwmuf9z

hfwmuf9z9#

相同的问题，附上我的追踪信息：

root@8cb277eb03b5:/home/python# python test.py
Traceback (most recent call last):
  File "/home/python/test.py", line 24, in <module>
    result = smart_scraper_graph.run()
  File "/usr/local/lib/python3.9/site-packages/scrapegraphai/graphs/smart_scraper_graph.py", line 116, in run
    self.final_state, self.execution_info = self.graph.execute(inputs)
  File "/usr/local/lib/python3.9/site-packages/scrapegraphai/graphs/base_graph.py", line 107, in execute
    result = current_node.execute(state)
  File "/usr/local/lib/python3.9/site-packages/scrapegraphai/nodes/generate_answer_node.py", line 141, in execute
    answer = merge_chain.invoke(
  File "/usr/local/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 2499, in invoke
    input = step.invoke(
  File "/usr/local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 158, in invoke
    self.generate_prompt(
  File "/usr/local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 560, in generate_prompt
    return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
  File "/usr/local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 421, in generate
    raise e
  File "/usr/local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 411, in generate
    self._generate_with_cache(
  File "/usr/local/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 632, in _generate_with_cache
    result = self._generate(
  File "/usr/local/lib/python3.9/site-packages/langchain_community/chat_models/ollama.py", line 259, in _generate
    final_chunk = self._chat_stream_with_aggregation(
  File "/usr/local/lib/python3.9/site-packages/langchain_community/chat_models/ollama.py", line 190, in _chat_stream_with_aggregation
    for stream_resp in self._create_chat_stream(messages, stop, **kwargs):
  File "/usr/local/lib/python3.9/site-packages/langchain_community/chat_models/ollama.py", line 162, in _create_chat_stream
    yield from self._create_stream(
  File "/usr/local/lib/python3.9/site-packages/langchain_community/llms/ollama.py", line 251, in _create_stream
    raise ValueError(
ValueError: Ollama call failed with status code 400. Details: {"error":"unexpected server status: 1"}
赞(0）分享  回复(0）举报  3个月前
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