mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
219 lines
5.3 KiB
Plaintext
219 lines
5.3 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "3651e424",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Getting Started\n",
|
|
"\n",
|
|
"This section contains everything related to prompts. A prompt is the value passed into the Language Model. This value can either be a string (for LLMs) or a list of messages (for Chat Models).\n",
|
|
"\n",
|
|
"The data types of these prompts are rather simple, but their construction is anything but. Value props of LangChain here include:\n",
|
|
"\n",
|
|
"- A standard interface for string prompts and message prompts\n",
|
|
"- A standard (to get started) interface for string prompt templates and message prompt templates\n",
|
|
"- Example Selectors: methods for inserting examples into the prompt for the language model to follow\n",
|
|
"- OutputParsers: methods for inserting instructions into the prompt as the format in which the language model should output information, as well as methods for then parsing that string output into a format.\n",
|
|
"\n",
|
|
"We have in depth documentation for specific types of string prompts, specific types of chat prompts, example selectors, and output parsers.\n",
|
|
"\n",
|
|
"Here, we cover a quick-start for a standard interface for getting started with simple prompts."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "ff34414d",
|
|
"metadata": {},
|
|
"source": [
|
|
"## PromptTemplates\n",
|
|
"\n",
|
|
"PromptTemplates are responsible for constructing a prompt value. These PromptTemplates can do things like formatting, example selection, and more. At a high level, these are basically objects that expose a `format_prompt` method for constructing a prompt. Under the hood, ANYTHING can happen."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"id": "7ce42639",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from langchain.prompts import PromptTemplate, ChatPromptTemplate"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"id": "5a178697",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"string_prompt = PromptTemplate.from_template(\"tell me a joke about {subject}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"id": "f4ef6d6b",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"chat_prompt = ChatPromptTemplate.from_template(\"tell me a joke about {subject}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"id": "5f16c8f1",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"string_prompt_value = string_prompt.format_prompt(subject=\"soccer\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"id": "863755ea",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"chat_prompt_value = chat_prompt.format_prompt(subject=\"soccer\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "8b3d8511",
|
|
"metadata": {},
|
|
"source": [
|
|
"## `to_string`\n",
|
|
"\n",
|
|
"This is what is called when passing to an LLM (which expects raw text)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"id": "1964a8a0",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'tell me a joke about soccer'"
|
|
]
|
|
},
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"string_prompt_value.to_string()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"id": "bf6c94e9",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'Human: tell me a joke about soccer'"
|
|
]
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"chat_prompt_value.to_string()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "c0825af8",
|
|
"metadata": {},
|
|
"source": [
|
|
"## `to_messages`\n",
|
|
"\n",
|
|
"This is what is called when passing to ChatModel (which expects a list of messages)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"id": "e4da46f3",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[HumanMessage(content='tell me a joke about soccer', additional_kwargs={}, example=False)]"
|
|
]
|
|
},
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"string_prompt_value.to_messages()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"id": "eae84b88",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[HumanMessage(content='tell me a joke about soccer', additional_kwargs={}, example=False)]"
|
|
]
|
|
},
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"chat_prompt_value.to_messages()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "a34fa440",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.9.1"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|