error cache and out of range float values are not json compliant #7282

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opened 2026-02-21 18:19:48 -05:00 by yindo · 10 comments

yindo commented 2026-02-21 18:19:48 -05:00

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Originally created by @jiangvi on GitHub (Dec 18, 2024).

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• This is only for bug report, if you would like to ask a question, please head to Discussions.
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• [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:）
• Please do not modify this template :) and fill in all the required fields.

Dify version

0.13.0

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

My Ollama occasionally returns an error when generating embeddings, where the values appear as [NaN, NaN, NaN, ...]. This leads to the following error: "Out of range float values are not JSON compliant."

When I try to reindex, the erroneous embeddings are repeatedly returned due to cached errors.

this is the code where in:

✔️ Expected Behavior

No response

❌ Actual Behavior

No response

Originally created by @jiangvi on GitHub (Dec 18, 2024). ### Self Checks - [X] This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general). - [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 submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)). - [X] [FOR CHINESE USERS] 请务必使用英文提交 Issue，否则会被关闭。谢谢！:） - [X] Please do not modify this template :) and fill in all the required fields. ### Dify version 0.13.0 ### Cloud or Self Hosted Self Hosted (Docker) ### Steps to reproduce My Ollama occasionally returns an error when generating embeddings, where the values appear as [NaN, NaN, NaN, ...]. This leads to the following error: "Out of range float values are not JSON compliant." When I try to reindex, the erroneous embeddings are repeatedly returned due to cached errors. this is the code where in:  ### ✔️ Expected Behavior _No response_ ### ❌ Actual Behavior _No response_

yindo added the 🐞 bug label 2026-02-21 18:19:48 -05:00

yindo closed this issue 2026-02-21 18:19:48 -05:00

yindo commented 2026-02-21 18:19:48 -05:00

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@dosubot[bot] commented on GitHub (Dec 18, 2024):

Hello @jiangvi! I'm here to help you with any bugs, questions, or contributions. Let's tackle this issue together!

To resolve the "Out of range float values are not JSON compliant" error in your self-hosted Dify version 0.13.0, you should ensure that the float values in the embeddings are within a range that JSON can handle. This error often occurs when the float values are too large, too small, or not finite (e.g., NaN).

Here's a way to modify your code to handle this:

1. Normalize and Check for Finite Values: Ensure that the embeddings are normalized and all values are finite before converting them to a list. You can use np.isfinite() to check for non-finite values.

2. Modify the embed_documents Method: Add a check to ensure all values are finite. If any value is not finite, handle it appropriately to prevent caching erroneous embeddings.

Here's an example modification:

import numpy as np
import logging
from sqlalchemy.exc import IntegrityError

# Inside the embed_documents method
for vector in embedding_result.embeddings:
    try:
        # Normalize the vector
        normalized_vector = vector / np.linalg.norm(vector)
        
        # Ensure all values are finite
        if not np.all(np.isfinite(normalized_vector)):
            raise ValueError("Embedding contains non-finite values.")
        
        # Convert to list and append
        normalized_embedding = normalized_vector.tolist()
        embedding_queue_embeddings.append(normalized_embedding)
    except IntegrityError:
        db.session.rollback()
    except Exception as e:
        logging.exception("Failed to transform embedding")

This modification checks if all values in the normalized vector are finite using np.isfinite(). If any value is not finite, it raises a ValueError, which you can handle to prevent caching these erroneous embeddings ^[1].

To continue talking to Dosu, mention @dosu.

---

^{Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other}

@dosubot[bot] commented on GitHub (Dec 18, 2024): <!-- Greeting --> Hello @jiangvi! I'm here to help you with any bugs, questions, or contributions. Let's tackle this issue together! <!-- Answer --> To resolve the "Out of range float values are not JSON compliant" error in your self-hosted Dify version 0.13.0, you should ensure that the float values in the embeddings are within a range that JSON can handle. This error often occurs when the float values are too large, too small, or not finite (e.g., NaN). Here's a way to modify your code to handle this: 1. **Normalize and Check for Finite Values**: Ensure that the embeddings are normalized and all values are finite before converting them to a list. You can use `np.isfinite()` to check for non-finite values. 2. **Modify the `embed_documents` Method**: Add a check to ensure all values are finite. If any value is not finite, handle it appropriately to prevent caching erroneous embeddings. Here's an example modification: ```python import numpy as np import logging from sqlalchemy.exc import IntegrityError # Inside the embed_documents method for vector in embedding_result.embeddings: try: # Normalize the vector normalized_vector = vector / np.linalg.norm(vector) # Ensure all values are finite if not np.all(np.isfinite(normalized_vector)): raise ValueError("Embedding contains non-finite values.") # Convert to list and append normalized_embedding = normalized_vector.tolist() embedding_queue_embeddings.append(normalized_embedding) except IntegrityError: db.session.rollback() except Exception as e: logging.exception("Failed to transform embedding") ``` This modification checks if all values in the normalized vector are finite using `np.isfinite()`. If any value is not finite, it raises a `ValueError`, which you can handle to prevent caching these erroneous embeddings ^{[[1]](https://github.com/langgenius/dify/blob/main/api/core/rag/embedding/cached_embedding.py)}. <!-- Dosu Comment Footer --> *To continue talking to [Dosu](https://dosu.dev), mention @dosu.* --- ^{Help Dosu learn! Give it feedback: [Great Response](https://app.dosu.dev/response-feedback/7c632179-cac3-4d1e-a63e-efc3cb2a5f8f?feedback_type=great_response) | [Irrelevant Answer](https://app.dosu.dev/response-feedback/7c632179-cac3-4d1e-a63e-efc3cb2a5f8f?feedback_type=irrelevant_answer) | [Incorrect Sources](https://app.dosu.dev/response-feedback/7c632179-cac3-4d1e-a63e-efc3cb2a5f8f?feedback_type=incorrect_sources) | [Too Verbose](https://app.dosu.dev/response-feedback/7c632179-cac3-4d1e-a63e-efc3cb2a5f8f?feedback_type=too_verbose) | [Hallucination](https://app.dosu.dev/response-feedback/7c632179-cac3-4d1e-a63e-efc3cb2a5f8f?feedback_type=hallucination) | [Other](https://app.dosu.dev/response-feedback/7c632179-cac3-4d1e-a63e-efc3cb2a5f8f?feedback_type=other)}

yindo commented 2026-02-21 18:19:48 -05:00

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@yihong0618 commented on GitHub (Dec 18, 2024):

can you share full log?

@yihong0618 commented on GitHub (Dec 18, 2024): can you share full log?

yindo commented 2026-02-21 18:19:48 -05:00

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@jiangvi commented on GitHub (Dec 18, 2024):

Moreover, I haven’t identified the root cause of the NaN values. Directly calling the Ollama API doesn’t produce them, and I’ve tested it concurrently many times.

您可以分享完整的日志吗？

@jiangvi commented on GitHub (Dec 18, 2024): Moreover, I haven’t identified the root cause of the NaN values. Directly calling the Ollama API doesn’t produce them, and I’ve tested it concurrently many times. > 您可以分享完整的日志吗？

yindo commented 2026-02-21 18:19:48 -05:00

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@jiangvi commented on GitHub (Dec 18, 2024):

您可以分享完整的日志吗？

ACDAA19A-BB2F-4a15-8F80-539088C87BD2.txt

@jiangvi commented on GitHub (Dec 18, 2024): > 您可以分享完整的日志吗？ [ACDAA19A-BB2F-4a15-8F80-539088C87BD2.txt](https://github.com/user-attachments/files/18192170/ACDAA19A-BB2F-4a15-8F80-539088C87BD2.txt)

yindo commented 2026-02-21 18:19:48 -05:00

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@crazywoola commented on GitHub (Dec 18, 2024):

Seems the same as https://github.com/langgenius/dify/issues/11792

@crazywoola commented on GitHub (Dec 18, 2024): Seems the same as https://github.com/langgenius/dify/issues/11792

yindo commented 2026-02-21 18:19:48 -05:00

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@yihong0618 commented on GitHub (Dec 19, 2024):

您可以分享完整的日志吗？

ACDAA19A-BB2F-4a15-8F80-539088C87BD2.txt

Hi the log error code is different from your screen shot

@yihong0618 commented on GitHub (Dec 19, 2024): > > 您可以分享完整的日志吗？ > > [ACDAA19A-BB2F-4a15-8F80-539088C87BD2.txt](https://github.com/user-attachments/files/18192170/ACDAA19A-BB2F-4a15-8F80-539088C87BD2.txt) Hi the log error code is different from your screen shot

yindo commented 2026-02-21 18:19:48 -05:00

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@jiangvi commented on GitHub (Dec 19, 2024):

Hi the log error code is different from your screen shot
"Out of range float values are not JSON compliant" is the specific root error. However, reindexing often succeeds after retrying. The issue shown in the screenshot is caused by erroneous caching, which prevents reindexing from ever succeeding.

@jiangvi commented on GitHub (Dec 19, 2024): > Hi the log error code is different from your screen shot "Out of range float values are not JSON compliant" is the specific root error. However, reindexing often succeeds after retrying. The issue shown in the screenshot is caused by erroneous caching, which prevents reindexing from ever succeeding.

yindo commented 2026-02-21 18:19:49 -05:00

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@jiangvi commented on GitHub (Dec 19, 2024):

it's means：
The erroneous values remain in the cache, causing reindexing to fail repeatedly.
error embeddings value is: [NaN, NaN, NaN, NaN, NaN,NaN,NaN,NaN,NaN,NaN,NaN,...……]

@jiangvi commented on GitHub (Dec 19, 2024): it's means： The erroneous values remain in the cache, causing reindexing to fail repeatedly. error embeddings value is: [NaN, NaN, NaN, NaN, NaN,NaN,NaN,NaN,NaN,NaN,NaN,...……]

yindo commented 2026-02-21 18:19:49 -05:00

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@jiangvi commented on GitHub (Dec 19, 2024):

when vector = [0,0,0,0,0……]，will vector/np.linalg.norm(vector) is [Nan,Nan……]

this is ollama‘s BUG, api return error embedding values is（model qwen2.5）:
[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0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@jiangvi commented on GitHub (Dec 19, 2024): when vector = [0,0,0,0,0……]，will vector/np.linalg.norm(vector) is [Nan,Nan……]  this is ollama‘s BUG, api return error embedding values is（model qwen2.5）: 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yindo commented 2026-02-21 18:19:49 -05:00

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@yihong0618 commented on GitHub (Dec 19, 2024):

copy that thanks .

@yihong0618 commented on GitHub (Dec 19, 2024): copy that thanks .

yindo referenced this issue 2026-02-21 20:25:21 -05:00

[PR #7283] feat: support pinning, including, and excluding for Model Providers and Tools #25634

yindo referenced this issue 2026-02-21 20:25:24 -05:00

[PR #7325] feat: support pinning, including, and excluding for Model Providers and Tools #25653

yindo referenced this issue 2026-02-21 20:25:28 -05:00

[PR #7419] feat: support pinning, including, and excluding for model providers and tools #25689

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main

0720-documents-tasks

0720-crawl-selection

0720-crawl-preview

0720-source-connections

ci/simplify-test-workflows

0720-create-knowledge

0720-new-rag-contracts

laipz8200/human-input-loop-iteration

0720-new-rag-list

deploy/saas

linw/snp-544-draft-offlod-code-node-output-error

perf/optimize-markdown-renderer

codex/migrate-knowledge-fs

deploy/enterprise

feat/hitl-im-dev

gareth/esq1-170-rbac-for-agent

deploy/agent

hotfix/1.15.0-fix.14

feat/ce-telemetry-dev

lts/1.13.x

deploy/workflow-archive-catalog-discovery

dependabot/uv/api/pydantic-09001a97e5

laipz8200/completion-workflow-entry

dependabot/uv/api/lts/1.13.x/python-packages-6c2bf7110c

dependabot/uv/api/storage-4219cfbece

dependabot/uv/api/lts/1.13.x/dev-6fc4f8b90c

dependabot/uv/api/llm-46e0cee538

dependabot/uv/api/lts/1.13.x/vdb-72526f7860

dependabot/uv/api/opentelemetry-b8005594e1

dependabot/uv/api/lts/1.13.x/storage-4310e8b8d8

dependabot/uv/api/lts/1.13.x/database-c0fba9b420

dependabot/uv/api/lts/1.13.x/llm-5ce1d68736

dependabot/uv/api/lts/1.13.x/pydantic-09001a97e5

dependabot/uv/api/lts/1.13.x/opentelemetry-b8005594e1

dependabot/uv/api/google-68de7a6be5

dependabot/github_actions/lts/1.13.x/github-actions-dependencies-1a36b91cf1

dependabot/uv/api/lts/1.13.x/google-c93828e58f

dependabot/uv/api/lts/1.13.x/flask-1086fc46af

0717-knowledge-fs-contract

feat/secret-scrub-persistence

feat/llm-ft-timeout

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0.5.2

0.5.1

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0.4.3

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0.3.33

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0.3.31-fix1

0.3.31

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0.3.29

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Knowledge Pipeline

Proposal

WIP

cloud

dependencies

feat:webapp

good first issue

outdated

performance

pull-request

Mirrored from GitHub Pull Request

python:uv

refactor

size:L

stale

status: accepting prs

status: blocked

status: in discussion

stt & tts

vulnerablity

web

wont-fix

🌊 feat:workflow

🌚 invalid

🐞 bug

👻 feat:rag

💪 enhancement

📚 documentation

🔨 feat:tools

🙋‍♂️ question

🙏 help wanted

🤔 cant-reproduce

🤖 feat:agent

No Label 🐞 bug

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Reference: langgenius/dify#7282