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Zulelee avatar Zulelee commented on June 11, 2024

The same happens for me for Pinecone for the prediction API. It does not override the value for pineconeNamespace. It used to work before.

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HenryHengZJ avatar HenryHengZJ commented on June 11, 2024

The same happens for me for Pinecone for the prediction API. It does not override the value for pineconeNamespace. It used to work before.

i think its a different issue because this is related to analytics.

Can confirm overriding pinconeNamespace works:
1.) I have a Pinecone node on canvas with namespace: pinecone-flowise-docs:
image

2.) Overriding on API to testing-1
image

3.) Pincone dashboard:
image

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Zulelee avatar Zulelee commented on June 11, 2024

@HenryHengZJ It works while upserting vectors for me as well. But, when I use the prediction API and override the pineconeNamespace, it does not get the vectors for the context from the pinecone namespace specified in the call and instead gets the vectors from the default one set on flowise.

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HenryHengZJ avatar HenryHengZJ commented on June 11, 2024

@HenryHengZJ It works while upserting vectors for me as well. But, when I use the prediction API and override the pineconeNamespace, it does not get the vectors for the context from the pinecone namespace specified in the call and instead gets the vectors from the default one set on flowise.

Its working fine from testing:

1.) Have the same Pinecone node on canvas with namespace: pinecone-flowise-docs
2.) Use the prediction API and override pineconeNamespace:
image
3.) Can see the Pinecone namespace correctly passed from overrideConfig:
image

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blackge avatar blackge commented on June 11, 2024

@HenryHengZJ Can you check if you are able to reproduce the original Langsmith error? This bug got derailed from the original.

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richsherrard avatar richsherrard commented on June 11, 2024

@HenryHengZJ I'm running into the same issue as @blackge

I have developed an automated testing framework for various flows where I configure different variables in the override config. For it to work effectively though I need to tag each run with the specific variables used so that I can efficiently filter and analyze the results in LangSmith afterwards.

Currently I cant get tags or metadata passed through into Langsmith at all.

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