Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKGet startedIntroductionInstallationQuickstartLangChain Expression LanguageInterfaceHow toCookbookLangChain Expression Language (LCEL)Why use LCEL?ModulesModel I/‚ÄãOPromptsPrompt templatesConnecting to a Feature StoreCustom prompt templateFew-shot prompt templatesFew-shot examples for chat modelsFormat template outputTemplate formatsTypes of MessagePromptTemplatePartial prompt templatesCompositionSerializationPrompt pipeliningValidate templateExample selectorsLanguage modelsOutput parsersRetrievalChainsMemoryAgentsCallbacksModulesSecurityGuidesMoreModulesModel I/‚ÄãOPromptsPrompt templatesFormat template outputFormat template outputThe output of the format method is available as a string, list of messages and ChatPromptValueAs string:output = chat_prompt.format(input_language="English", output_language="French", text="I love programming.")output    'System: You are a helpful assistant that translates English to French.\nHuman: I love programming.'# or alternativelyoutput_2 = chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_string()assert output == output_2As list of Message objects:chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages()    [SystemMessage(content='You are a helpful assistant that translates English to French.', additional_kwargs={}),     HumanMessage(content='I love programming.', additional_kwargs={})]As ChatPromptValue:chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.")    ChatPromptValue(messages=[SystemMessage(content='You are a helpful assistant that translates English to French.', additional_kwargs={}), HumanMessage(content='I love programming.', additional_kwargs={})])PreviousFew-shot examples for chat modelsNextTemplate
The output of the format method is available as a string, list of messages and ChatPromptValue
The output of the format method is available as a string, list of messages and ChatPromptValue ->: Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKGet startedIntroductionInstallationQuickstartLangChain Expression LanguageInterfaceHow toCookbookLangChain Expression Language (LCEL)Why use LCEL?ModulesModel I/‚ÄãOPromptsPrompt templatesConnecting to a Feature StoreCustom prompt templateFew-shot prompt templatesFew-shot examples for chat modelsFormat template outputTemplate formatsTypes of MessagePromptTemplatePartial prompt templatesCompositionSerializationPrompt pipeliningValidate templateExample selectorsLanguage modelsOutput parsersRetrievalChainsMemoryAgentsCallbacksModulesSecurityGuidesMoreModulesModel I/‚ÄãOPromptsPrompt templatesFormat template outputFormat template outputThe output of the format method is available as a string, list of messages and ChatPromptValueAs string:output = chat_prompt.format(input_language="English", output_language="French", text="I love programming.")output    'System: You are a helpful assistant that translates English to French.\nHuman: I love programming.'# or alternativelyoutput_2 = chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_string()assert output == output_2As list of Message objects:chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages()    [SystemMessage(content='You are a helpful assistant that translates English to French.', additional_kwargs={}),     HumanMessage(content='I love programming.', additional_kwargs={})]As ChatPromptValue:chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.")    ChatPromptValue(messages=[SystemMessage(content='You are a helpful assistant that translates English to French.', additional_kwargs={}), HumanMessage(content='I love programming.', additional_kwargs={})])PreviousFew-shot examples for chat modelsNextTemplate