df_llm_message: Convert a Data Frame to an LLMMessage Object
In tidyllm: Tidy Integration of Large Language Models
df_llm_message R Documentation
Convert a Data Frame to an LLMMessage Object
Description
This function converts a data frame into an LLMMessage object representing a conversation history.
The data frame must have specific columns (role and content), with each row representing a message.
Usage
df_llm_message(.df)
Arguments
.df
A data frame with at least two rows and columns role and content.
The role column should contain "user", "assistant", or "system". The content column should contain the corresponding message text.
Value
An LLMMessage object representing the structured conversation.
See Also
llm_message()
Other Message Creation Utilities:
llm_message()
tidyllm documentation built on Aug. 22, 2025, 5:21 p.m.
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| df_llm_message | R Documentation |
Convert a Data Frame to an LLMMessage Object
Description
This function converts a data frame into an LLMMessage object representing a conversation history.
The data frame must have specific columns (role and content), with each row representing a message.
Usage
df_llm_message(.df)
Arguments
.df |
A data frame with at least two rows and columns |
Value
An LLMMessage object representing the structured conversation.
See Also
llm_message()
Other Message Creation Utilities:
llm_message()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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