Uses of Class
com.hw.langchain.schema.LLMResult

Packages that use LLMResult

Package	Description
com.hw.langchain.base.language
com.hw.langchain.chat.models.base
com.hw.langchain.llms.base
com.hw.langchain.llms.ollama
com.hw.langchain.llms.openai

Uses of LLMResult in com.hw.langchain.base.language

Methods in com.hw.langchain.base.language that return LLMResult

Modifier and Type	Method	Description
LLMResult	BaseLanguageModel.generatePrompt(List<PromptValue> prompts, List<String> stop)	Take in a list of prompt values and return an LLMResult.

Uses of LLMResult in com.hw.langchain.chat.models.base

Methods in com.hw.langchain.chat.models.base that return LLMResult

Modifier and Type	Method	Description
LLMResult	BaseChatModel.generate(List<List<BaseMessage>> messages)
LLMResult	BaseChatModel.generate(List<List<BaseMessage>> messages, List<String> stop)	Top Level call
LLMResult	BaseChatModel.generatePrompt(List<PromptValue> prompts, List<String> stop)
protected LLMResult	LLM.innerGenerate(List<String> prompts, List<String> stop)

Uses of LLMResult in com.hw.langchain.llms.base

Methods in com.hw.langchain.llms.base that return LLMResult

Modifier and Type	Method	Description
LLMResult	BaseLLM.generate(List<String> prompts, List<String> stop)	Run the LLM on the given prompt and input.
LLMResult	BaseLLM.generatePrompt(List<PromptValue> prompts, List<String> stop)
protected abstract LLMResult	BaseLLM.innerGenerate(List<String> prompts, List<String> stop)	Run the LLM on the given prompts.

Uses of LLMResult in com.hw.langchain.llms.ollama

Methods in com.hw.langchain.llms.ollama that return LLMResult

Modifier and Type	Method	Description
protected LLMResult	Ollama.innerGenerate(List<String> prompts, List<String> stop)	Call out to Ollama to generate endpoint.

Uses of LLMResult in com.hw.langchain.llms.openai

Methods in com.hw.langchain.llms.openai that return LLMResult

Modifier and Type	Method	Description
protected LLMResult	BaseOpenAI.innerGenerate(List<String> prompts, List<String> stop)	Call out to OpenAI's endpoint with k unique prompts.
protected LLMResult	OpenAIChat.innerGenerate(List<String> prompts, List<String> stop)