用了Cohere的rerank API,对话没有产生回放 #899

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opened 2026-02-21 17:28:56 -05:00 by yindo · 2 comments
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Originally created by @crybest on GitHub (Jan 13, 2024).

Self Checks

Dify version

Claud

Cloud or Self Hosted

Cloud

Steps to reproduce

image
image
image

看cohere确实调用了,但是没有回答

✔️ Expected Behavior

有结果返回

Actual Behavior

没有结果****

Originally created by @crybest on GitHub (Jan 13, 2024). ### Self Checks - [X] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones. - [X] I confirm that I am using English to file this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). ### Dify version Claud ### Cloud or Self Hosted Cloud ### Steps to reproduce ![image](https://github.com/langgenius/dify/assets/102134756/e2d04a1c-b610-483f-9cef-88ec68d9aca6) ![image](https://github.com/langgenius/dify/assets/102134756/fc435ffd-fbe7-4e94-a308-291b09bac549) ![image](https://github.com/langgenius/dify/assets/102134756/935de5b8-029c-4a49-bf09-7d79b0752287) 看cohere确实调用了,但是没有回答 ### ✔️ Expected Behavior 有结果返回 ### ❌ Actual Behavior 没有结果****
yindo added the 🐞 bug label 2026-02-21 17:28:56 -05:00
yindo closed this issue 2026-02-21 17:28:56 -05:00
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@dosubot[bot] commented on GitHub (Jan 13, 2024):

🤖

你好 @crybest ,我是 Dosu,一个能帮助你解决问题、回答疑问并成为贡献者的机器人。在等待人工维护者回复的同时,我在这里帮助你。请放心,我们会一起解决你的问题。

您的问题可能由以下几个原因导致:

  1. 传递给 _invoke 方法的 docs 列表为空。在这种情况下,该方法将返回一个空的 RerankResult,而不会调用 Cohere API。请检查 docs 列表,确保它包含用于重新排序的文档。
if len(docs) == 0:
    return RerankResult(
        model=model,
        docs=docs
    )
  1. 设置了 score_threshold,并且来自 Cohere API 的结果的 relevance_score 小于此阈值。在这种情况下,结果将不会被添加到 rerank_documents 列表中。检查 score_threshold 和结果的 relevance_score
# score threshold check
if score_threshold is not None:
    if result.relevance_score >= score_threshold:
        rerank_documents.append(rerank_document)
  1. credentials 字典中提供的 Cohere API 密钥可能存在问题。validate_credentials 方法尝试使用测试查询和文档调用模型。如果失败,它将引发 CredentialsValidateFailedError。检查 API 密钥,确保它是有效的。
try:
    self.invoke(
        model=model,
        credentials=credentials,
        query="What is the capital of the United States?",
        docs=[
            "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
            "Census, Carson City had a population of 55,274.",
            "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
            "are a political division controlled by the United States. Its capital is Saipan.",
        ],
        score_threshold=0.8
    )
except Exception as ex:
    raise CredentialsValidateFailedError(str(ex))
  1. 调用 Cohere API 时可能存在连接错误或错误请求。这些错误在 _invoke_error_mapping 属性中映射到 InvokeConnectionErrorInvokeBadRequestError。检查日志中是否有这些错误。
return {
    InvokeConnectionError: [
        cohere.CohereConnectionError,
    ],
    InvokeServerUnavailableError: [],
    InvokeRateLimitError: [],
    InvokeAuthorizationError: [],
    InvokeBadRequestError: [
        cohere.CohereAPIError,
        cohere.CohereError,
    ]
}

没有更具体的信息或错误消息,很难确定确切的问题。请检查这些可能的问题,并在问题仍然存在时提供更多信息。

如果您能提供更具体的错误消息或日志,可能会更有助于我们确定问题。这些错误消息可能包括 InvokeConnectionErrorInvokeServerUnavailableErrorInvokeRateLimitErrorInvokeAuthorizationErrorInvokeBadRequestErrorCredentialsValidateFailedError。这些错误消息由 rerank.py 文件中的 XinferenceRerankModel 类抛出。

如果问题仍然存在,或者您有其他问题,欢迎随时向我们提问。

Sources


This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

@dosubot[bot] commented on GitHub (Jan 13, 2024): _🤖_ <!-- Greeting --> 你好 @crybest ,我是 [Dosu](https://dosu.dev),一个能帮助你解决问题、回答疑问并成为贡献者的机器人。在等待人工维护者回复的同时,我在这里帮助你。请放心,我们会一起解决你的问题。 <!-- Answer --> 您的问题可能由以下几个原因导致: 1. 传递给 `_invoke` 方法的 `docs` 列表为空。在这种情况下,该方法将返回一个空的 `RerankResult`,而不会调用 Cohere API。请检查 `docs` 列表,确保它包含用于重新排序的文档。 ```py if len(docs) == 0: return RerankResult( model=model, docs=docs ) ``` 2. 设置了 `score_threshold`,并且来自 Cohere API 的结果的 `relevance_score` 小于此阈值。在这种情况下,结果将不会被添加到 `rerank_documents` 列表中。检查 `score_threshold` 和结果的 `relevance_score`。 ```py # score threshold check if score_threshold is not None: if result.relevance_score >= score_threshold: rerank_documents.append(rerank_document) ``` 3. `credentials` 字典中提供的 Cohere API 密钥可能存在问题。`validate_credentials` 方法尝试使用测试查询和文档调用模型。如果失败,它将引发 `CredentialsValidateFailedError`。检查 API 密钥,确保它是有效的。 ```py try: self.invoke( model=model, credentials=credentials, query="What is the capital of the United States?", docs=[ "Carson City is the capital city of the American state of Nevada. At the 2010 United States " "Census, Carson City had a population of 55,274.", "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " "are a political division controlled by the United States. Its capital is Saipan.", ], score_threshold=0.8 ) except Exception as ex: raise CredentialsValidateFailedError(str(ex)) ``` 4. 调用 Cohere API 时可能存在连接错误或错误请求。这些错误在 `_invoke_error_mapping` 属性中映射到 `InvokeConnectionError` 和 `InvokeBadRequestError`。检查日志中是否有这些错误。 ```py return { InvokeConnectionError: [ cohere.CohereConnectionError, ], InvokeServerUnavailableError: [], InvokeRateLimitError: [], InvokeAuthorizationError: [], InvokeBadRequestError: [ cohere.CohereAPIError, cohere.CohereError, ] } ``` 没有更具体的信息或错误消息,很难确定确切的问题。请检查这些可能的问题,并在问题仍然存在时提供更多信息。 如果您能提供更具体的错误消息或日志,可能会更有助于我们确定问题。这些错误消息可能包括 `InvokeConnectionError`、`InvokeServerUnavailableError`、`InvokeRateLimitError`、`InvokeAuthorizationError`、`InvokeBadRequestError` 和 `CredentialsValidateFailedError`。这些错误消息由 `rerank.py` 文件中的 `XinferenceRerankModel` 类抛出。 如果问题仍然存在,或者您有其他问题,欢迎随时向我们提问。 ## Sources - [api/core/model_runtime/model_providers/cohere/rerank/rerank.py](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/model_providers/cohere/rerank/rerank.py) - [api/core/model_runtime/model_providers/xinference/rerank/rerank.py](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/model_providers/xinference/rerank/rerank.py) --- This response is meant to be useful and save you time. It is **not meant to be a precise solution**, but rather a starting point for your own research. Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant. If you want to continue the conversation, start your reply with @dosu-bot.
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@crazywoola commented on GitHub (Jan 14, 2024):

Close due to https://github.com/langgenius/dify/issues/1542

@crazywoola commented on GitHub (Jan 14, 2024): Close due to https://github.com/langgenius/dify/issues/1542
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Reference: langgenius/dify#899