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I updated my langserve version from 0.2.3 to 0.3.0, and I'm experiencing an issue.
If I pass config_keys=("run_id", "configurable", "metadata") as a parameter in the add_routes method, the playground is not displayed correctly.
This sample code also produces the error: add_routes( app, ChatOpenAI(model="gpt-4o-2024-08-06"), path="/openai", config_keys=("run_id", "configurable", "metadata"), )
The key run_id may be causing the error because if I remove it, it does render, but a warning appears for the metadata key.
The installed versions is as follows:
langchain-openai 0.2.1
langserve 0.3.0
The text was updated successfully, but these errors were encountered:
Any pre-lim results from the investigation? Any way we can assist?
We have to upgrade to pydantic>=2.0.0 based on a business requirement, and would like to understand if we can hack our way around this to enable the playground again, until a fix is released.
I updated my langserve version from 0.2.3 to 0.3.0, and I'm experiencing an issue.
If I pass
config_keys=("run_id", "configurable", "metadata")
as a parameter in theadd_routes
method, the playground is not displayed correctly.This sample code also produces the error:
add_routes(
app,
ChatOpenAI(model="gpt-4o-2024-08-06"),
path="/openai",
config_keys=("run_id", "configurable", "metadata"),
)
The key
run_id
may be causing the error because if I remove it, it does render, but a warning appears for themetadata
key.The installed versions is as follows:
The text was updated successfully, but these errors were encountered: