Prompt Templates#

These are the reference prompt templates.

We first show links to default prompts.

We then show the base prompt template class and its subclasses.

Default Prompts#

Prompt Classes#

pydantic model llama_index.prompts.base.BasePromptTemplate#

Show JSON schema

{
   "title": "BasePromptTemplate",
   "description": "Chainable mixin.\n\nA module that can produce a `QueryComponent` from a set of inputs through\n`as_query_component`.\n\nIf plugged in directly into a `QueryPipeline`, the `ChainableMixin` will be\nconverted into a `QueryComponent` with default parameters.",
   "type": "object",
   "properties": {
      "metadata": {
         "title": "Metadata",
         "type": "object"
      },
      "template_vars": {
         "title": "Template Vars",
         "type": "array",
         "items": {
            "type": "string"
         }
      },
      "kwargs": {
         "title": "Kwargs",
         "type": "object",
         "additionalProperties": {
            "type": "string"
         }
      },
      "output_parser": {
         "title": "Output Parser"
      },
      "template_var_mappings": {
         "title": "Template Var Mappings",
         "description": "Template variable mappings (Optional).",
         "type": "object"
      }
   },
   "required": [
      "metadata",
      "template_vars",
      "kwargs"
   ]
}

Config

arbitrary_types_allowed: bool = True

Fields

function_mappings (Optional[Dict[str, Callable]])
kwargs (Dict[str, str])
metadata (Dict[str, Any])
output_parser (Optional[llama_index.types.BaseOutputParser])
template_var_mappings (Optional[Dict[str, Any]])
template_vars (List[str])

field function_mappings: Optional[Dict[str, Callable]] [Optional]#: Function mappings (Optional). This is a mapping from template variable names to functions that take in the current kwargs and return a string.

field kwargs: Dict[str, str] [Required]#

field metadata: Dict[str, Any] [Required]#

field output_parser: Optional[BaseOutputParser] = None#

field template_var_mappings: Optional[Dict[str, Any]] [Optional]#: Template variable mappings (Optional).

field template_vars: List[str] [Required]#

abstract format(llm: Optional[BaseLLM] = None, **kwargs: Any) → str#

abstract format_messages(llm: Optional[BaseLLM] = None, **kwargs: Any) → List[ChatMessage]#

abstract get_template(llm: Optional[BaseLLM] = None) → str#

abstract partial_format(**kwargs: Any) → BasePromptTemplate#

pydantic model llama_index.prompts.base.PromptTemplate#

Show JSON schema

{
   "title": "PromptTemplate",
   "description": "Chainable mixin.\n\nA module that can produce a `QueryComponent` from a set of inputs through\n`as_query_component`.\n\nIf plugged in directly into a `QueryPipeline`, the `ChainableMixin` will be\nconverted into a `QueryComponent` with default parameters.",
   "type": "object",
   "properties": {
      "metadata": {
         "title": "Metadata",
         "type": "object"
      },
      "template_vars": {
         "title": "Template Vars",
         "type": "array",
         "items": {
            "type": "string"
         }
      },
      "kwargs": {
         "title": "Kwargs",
         "type": "object",
         "additionalProperties": {
            "type": "string"
         }
      },
      "output_parser": {
         "title": "Output Parser"
      },
      "template_var_mappings": {
         "title": "Template Var Mappings",
         "description": "Template variable mappings (Optional).",
         "type": "object"
      },
      "template": {
         "title": "Template",
         "type": "string"
      }
   },
   "required": [
      "metadata",
      "template_vars",
      "kwargs",
      "template"
   ]
}

Config

arbitrary_types_allowed: bool = True

Fields

template (str)

field template: str [Required]#

format(llm: Optional[BaseLLM] = None, completion_to_prompt: Optional[Callable[[str], str]] = None, **kwargs: Any) → str#: Format the prompt into a string.

format_messages(llm: Optional[BaseLLM] = None, **kwargs: Any) → List[ChatMessage]#: Format the prompt into a list of chat messages.

get_template(llm: Optional[BaseLLM] = None) → str#

partial_format(**kwargs: Any) → PromptTemplate#: Partially format the prompt.

pydantic model llama_index.prompts.base.ChatPromptTemplate#

Show JSON schema

{
   "title": "ChatPromptTemplate",
   "description": "Chainable mixin.\n\nA module that can produce a `QueryComponent` from a set of inputs through\n`as_query_component`.\n\nIf plugged in directly into a `QueryPipeline`, the `ChainableMixin` will be\nconverted into a `QueryComponent` with default parameters.",
   "type": "object",
   "properties": {
      "metadata": {
         "title": "Metadata",
         "type": "object"
      },
      "template_vars": {
         "title": "Template Vars",
         "type": "array",
         "items": {
            "type": "string"
         }
      },
      "kwargs": {
         "title": "Kwargs",
         "type": "object",
         "additionalProperties": {
            "type": "string"
         }
      },
      "output_parser": {
         "title": "Output Parser"
      },
      "template_var_mappings": {
         "title": "Template Var Mappings",
         "description": "Template variable mappings (Optional).",
         "type": "object"
      },
      "message_templates": {
         "title": "Message Templates",
         "type": "array",
         "items": {
            "$ref": "#/definitions/ChatMessage"
         }
      }
   },
   "required": [
      "metadata",
      "template_vars",
      "kwargs",
      "message_templates"
   ],
   "definitions": {
      "MessageRole": {
         "title": "MessageRole",
         "description": "Message role.",
         "enum": [
            "system",
            "user",
            "assistant",
            "function",
            "tool",
            "chatbot"
         ],
         "type": "string"
      },
      "ChatMessage": {
         "title": "ChatMessage",
         "description": "Chat message.",
         "type": "object",
         "properties": {
            "role": {
               "default": "user",
               "allOf": [
                  {
                     "$ref": "#/definitions/MessageRole"
                  }
               ]
            },
            "content": {
               "title": "Content",
               "default": ""
            },
            "additional_kwargs": {
               "title": "Additional Kwargs",
               "type": "object"
            }
         }
      }
   }
}

Config

arbitrary_types_allowed: bool = True

Fields

message_templates (List[llama_index.core.llms.types.ChatMessage])

field message_templates: List[ChatMessage] [Required]#

format(llm: Optional[BaseLLM] = None, messages_to_prompt: Optional[Callable[[Sequence[ChatMessage]], str]] = None, **kwargs: Any) → str#

format_messages(llm: Optional[BaseLLM] = None, **kwargs: Any) → List[ChatMessage]#

get_template(llm: Optional[BaseLLM] = None) → str#

partial_format(**kwargs: Any) → ChatPromptTemplate#

pydantic model llama_index.prompts.base.SelectorPromptTemplate#

Show JSON schema

{
   "title": "SelectorPromptTemplate",
   "description": "Chainable mixin.\n\nA module that can produce a `QueryComponent` from a set of inputs through\n`as_query_component`.\n\nIf plugged in directly into a `QueryPipeline`, the `ChainableMixin` will be\nconverted into a `QueryComponent` with default parameters.",
   "type": "object",
   "properties": {
      "metadata": {
         "title": "Metadata",
         "type": "object"
      },
      "template_vars": {
         "title": "Template Vars",
         "type": "array",
         "items": {
            "type": "string"
         }
      },
      "kwargs": {
         "title": "Kwargs",
         "type": "object",
         "additionalProperties": {
            "type": "string"
         }
      },
      "output_parser": {
         "title": "Output Parser"
      },
      "template_var_mappings": {
         "title": "Template Var Mappings",
         "description": "Template variable mappings (Optional).",
         "type": "object"
      },
      "default_template": {
         "title": "Default Template"
      },
      "conditionals": {
         "title": "Conditionals"
      }
   },
   "required": [
      "metadata",
      "template_vars",
      "kwargs"
   ]
}

Config

arbitrary_types_allowed: bool = True

Fields

conditionals (Optional[List[Tuple[Callable[[llama_index.llms.base.BaseLLM], bool], llama_index.prompts.base.BasePromptTemplate]]])
default_template (llama_index.prompts.base.BasePromptTemplate)

field conditionals: Optional[List[Tuple[Callable[[BaseLLM], bool], BasePromptTemplate]]] = None#

field default_template: BasePromptTemplate [Required]#

format(llm: Optional[BaseLLM] = None, **kwargs: Any) → str#: Format the prompt into a string.

format_messages(llm: Optional[BaseLLM] = None, **kwargs: Any) → List[ChatMessage]#: Format the prompt into a list of chat messages.

get_template(llm: Optional[BaseLLM] = None) → str#

partial_format(**kwargs: Any) → SelectorPromptTemplate#

select(llm: Optional[BaseLLM] = None) → BasePromptTemplate#

pydantic model llama_index.prompts.base.LangchainPromptTemplate#

Show JSON schema

{
   "title": "LangchainPromptTemplate",
   "description": "Chainable mixin.\n\nA module that can produce a `QueryComponent` from a set of inputs through\n`as_query_component`.\n\nIf plugged in directly into a `QueryPipeline`, the `ChainableMixin` will be\nconverted into a `QueryComponent` with default parameters.",
   "type": "object",
   "properties": {
      "metadata": {
         "title": "Metadata",
         "type": "object"
      },
      "template_vars": {
         "title": "Template Vars",
         "type": "array",
         "items": {
            "type": "string"
         }
      },
      "kwargs": {
         "title": "Kwargs",
         "type": "object",
         "additionalProperties": {
            "type": "string"
         }
      },
      "output_parser": {
         "title": "Output Parser"
      },
      "template_var_mappings": {
         "title": "Template Var Mappings",
         "description": "Template variable mappings (Optional).",
         "type": "object"
      },
      "selector": {
         "title": "Selector"
      },
      "requires_langchain_llm": {
         "title": "Requires Langchain Llm",
         "default": false,
         "type": "boolean"
      }
   },
   "required": [
      "metadata",
      "template_vars",
      "kwargs"
   ]
}

Config

arbitrary_types_allowed: bool = True

Fields

requires_langchain_llm (bool)
selector (Any)

field requires_langchain_llm: bool = False#

field selector: Any = None#

format(llm: Optional[BaseLLM] = None, **kwargs: Any) → str#: Format the prompt into a string.

format_messages(llm: Optional[BaseLLM] = None, **kwargs: Any) → List[ChatMessage]#: Format the prompt into a list of chat messages.

get_template(llm: Optional[BaseLLM] = None) → str#

partial_format(**kwargs: Any) → BasePromptTemplate#: Partially format the prompt.

Subclass Prompts (deprecated)#

Deprecated, but still available for reference at this link.