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community: Add Writer integration (#27646)

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**Description:** Add support for Writer chat models   
**Issue:** N/A
**Dependencies:** Add `writer-sdk` to optional dependencies.
**Twitter handle:** Please tag `@samjulien` and `@Get_Writer`

**Tests and docs**
- [x] Unit test
- [x] Example notebook in `docs/docs/integrations` directory.

**Lint and test**
- [x] Run `make format` 
- [x] Run `make lint`
- [x] Run `make test`

---------

Co-authored-by: Johannes <tolstoy.work@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
This commit is contained in:
Sam Julien
2024-10-30 11:06:05 -07:00
committed by GitHub
parent 595dc592c9
commit 0a472e2a2d
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{
"cells": [
{
"metadata": {},
"cell_type": "raw",
"source": [
"---\n",
"sidebar_label: Writer\n",
"---"
],
"id": "85e07aae70a15572"
},
{
"cell_type": "markdown",
"id": "cb4dd00a-8893-4a45-96f7-9a9fc341cd61",
"metadata": {},
"source": [
"# ChatWriter\n",
"\n",
"This notebook provides a quick overview for getting started with Writer [chat models](/docs/concepts/#chat-models).\n",
"\n",
"Writer has several chat models. You can find information about their latest models and their costs, context windows, and supported input types in the [Writer docs](https://dev.writer.com/home/models).\n",
"\n",
":::"
]
},
{
"cell_type": "markdown",
"id": "e49f1e0d",
"metadata": {},
"source": [
"## Overview\n",
"\n",
"### Integration details\n",
"| Class | Package | Local | Serializable | [JS support](https://js.langchain.com/docs/integrations/chat/openai) | Package downloads | Package latest |\n",
"| :--- | :--- | :---: | :---: | :---: | :---: | :---: |\n",
"| ChatWriter | langchain-community | ❌ | ❌ | ❌ | ❌ | ❌ |\n",
"\n",
"### Model features\n",
"| [Tool calling](/docs/how_to/tool_calling) | [Structured output](/docs/how_to/structured_output/) | JSON mode | Image input | Audio input | Video input | [Token-level streaming](/docs/how_to/chat_streaming/) | Native async | [Token usage](/docs/how_to/chat_token_usage_tracking/) | [Logprobs](/docs/how_to/logprobs/) |\n",
"| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n",
"| ✅ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | \n",
"\n",
"## Setup\n",
"\n",
"To access Writer models you'll need to create a Writer account, get an API key, and install the `writer-sdk` and `langchain-community` packages.\n",
"\n",
"### Credentials\n",
"\n",
"Head to [Writer AI Studio](https://app.writer.com/aistudio/signup?utm_campaign=devrel) to sign up to OpenAI and generate an API key. Once you've done this set the WRITER_API_KEY environment variable:"
]
},
{
"cell_type": "code",
"id": "e817fe2e-4f1d-4533-b19e-2400b1cf6ce8",
"metadata": {
"ExecuteTime": {
"end_time": "2024-10-24T13:51:54.323678Z",
"start_time": "2024-10-24T13:51:42.127404Z"
}
},
"source": [
"import getpass\n",
"import os\n",
"\n",
"if not os.environ.get(\"WRITER_API_KEY\"):\n",
" os.environ[\"WRITER_API_KEY\"] = getpass.getpass(\"Enter your Writer API key: \")"
],
"outputs": [],
"execution_count": 1
},
{
"cell_type": "markdown",
"id": "c59722a9-6dbb-45f7-ae59-5be50ca5733d",
"metadata": {},
"source": [
"### Installation\n",
"\n",
"The LangChain Writer integration lives in the `langchain-community` package:"
]
},
{
"cell_type": "code",
"id": "2113471c-75d7-45df-b784-d78da4ef7aba",
"metadata": {
"ExecuteTime": {
"end_time": "2024-10-24T13:52:49.262240Z",
"start_time": "2024-10-24T13:52:47.564879Z"
}
},
"source": [
"%pip install -qU langchain-community writer-sdk"
],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"execution_count": 4
},
{
"cell_type": "markdown",
"id": "1098bc9d-ce83-462b-8c19-f85bf3a159dc",
"metadata": {},
"source": [
"## Instantiation\n",
"\n",
"Now we can instantiate our model object and generate chat completions:"
]
},
{
"cell_type": "code",
"id": "522686de",
"metadata": {
"tags": [],
"ExecuteTime": {
"end_time": "2024-10-24T13:52:38.822950Z",
"start_time": "2024-10-24T13:52:38.674441Z"
}
},
"source": [
"from langchain_community.chat_models.writer import ChatWriter\n",
"\n",
"llm = ChatWriter(\n",
" model=\"palmyra-x-004\",\n",
" temperature=0.7,\n",
" max_tokens=1000,\n",
" # api_key=\"...\", # if you prefer to pass api key in directly instaed of using env vars\n",
" # base_url=\"...\",\n",
" # other params...\n",
")"
],
"outputs": [
{
"ename": "ImportError",
"evalue": "cannot import name 'ChatWriter' from 'langchain_community.chat_models' (/home/yanomaly/PycharmProjects/whitesnake/writer/langсhain/libs/community/langchain_community/chat_models/__init__.py)",
"output_type": "error",
"traceback": [
"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[0;31mImportError\u001B[0m Traceback (most recent call last)",
"Cell \u001B[0;32mIn[3], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01mlangchain_community\u001B[39;00m\u001B[38;5;21;01m.\u001B[39;00m\u001B[38;5;21;01mchat_models\u001B[39;00m \u001B[38;5;28;01mimport\u001B[39;00m ChatWriter\n\u001B[1;32m 3\u001B[0m llm \u001B[38;5;241m=\u001B[39m ChatWriter(\n\u001B[1;32m 4\u001B[0m model\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mpalmyra-x-004\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[1;32m 5\u001B[0m temperature\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m0.7\u001B[39m,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 9\u001B[0m \u001B[38;5;66;03m# other params...\u001B[39;00m\n\u001B[1;32m 10\u001B[0m )\n",
"\u001B[0;31mImportError\u001B[0m: cannot import name 'ChatWriter' from 'langchain_community.chat_models' (/home/yanomaly/PycharmProjects/whitesnake/writer/langсhain/libs/community/langchain_community/chat_models/__init__.py)"
]
}
],
"execution_count": 3
},
{
"cell_type": "markdown",
"id": "6511982a-734a-4193-a47d-254f8dcaff5e",
"metadata": {},
"source": [
"## Invocation"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ce16ad78-8e6f-48cd-954e-98be75eb5836",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"messages = [\n",
" (\n",
" \"system\",\n",
" \"You are a helpful assistant that writes poems about the Python programming language.\",\n",
" ),\n",
" (\"human\", \"Write a poem about Python.\"),\n",
"]\n",
"ai_msg = llm.invoke(messages)\n",
"ai_msg"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2cd224b8-4499-41fb-a604-d53a7ff17b2e",
"metadata": {},
"outputs": [],
"source": [
"print(ai_msg.content)"
]
},
{
"cell_type": "markdown",
"id": "778f912a-66ea-4a5d-b3de-6c7db4baba26",
"metadata": {},
"source": [
"## Chaining\n",
"\n",
"We can [chain](/docs/how_to/sequence/) our model with a prompt template like so:"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fbb043e6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain_core.prompts import ChatPromptTemplate\n",
"\n",
"prompt = ChatPromptTemplate.from_messages(\n",
" [\n",
" (\n",
" \"system\",\n",
" \"You are a helpful assistant that writes poems about the {input_language} programming language.\",\n",
" ),\n",
" (\"human\", \"{input}\"),\n",
" ]\n",
")\n",
"\n",
"chain = prompt | llm\n",
"chain.invoke(\n",
" {\n",
" \"input_language\": \"Java\",\n",
" \"input\": \"Write a poem about Java.\",\n",
" }\n",
")"
]
},
{
"cell_type": "markdown",
"id": "0b1b52a5-b58d-40c9-bcdd-88eb8fb351e2",
"metadata": {},
"source": [
"## Tool calling\n",
"\n",
"Writer supports [tool calling](https://dev.writer.com/api-guides/tool-calling), which lets you describe tools and their arguments, and have the model return a JSON object with a tool to invoke and the inputs to that tool.\n",
"\n",
"### ChatWriter.bind_tools()\n",
"\n",
"With `ChatWriter.bind_tools`, we can easily pass in Pydantic classes, dict schemas, LangChain tools, or even functions as tools to the model. Under the hood these are converted to tool schemas, which looks like:\n",
"```\n",
"{\n",
" \"name\": \"...\",\n",
" \"description\": \"...\",\n",
" \"parameters\": {...} # JSONSchema\n",
"}\n",
"```\n",
"and passed in every model invocation."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b7ea7690-ec7a-4337-b392-e87d1f39a6ec",
"metadata": {},
"outputs": [],
"source": [
"from pydantic import BaseModel, Field\n",
"\n",
"\n",
"class GetWeather(BaseModel):\n",
" \"\"\"Get the current weather in a given location\"\"\"\n",
"\n",
" location: str = Field(..., description=\"The city and state, e.g. San Francisco, CA\")\n",
"\n",
"\n",
"llm_with_tools = llm.bind_tools([GetWeather])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1d1ab955-6a68-42f8-bb5d-86eb1111478a",
"metadata": {},
"outputs": [],
"source": [
"ai_msg = llm_with_tools.invoke(\n",
" \"what is the weather like in New York City\",\n",
")\n",
"ai_msg"
]
},
{
"cell_type": "markdown",
"id": "768d1ae4-4b1a-48eb-a329-c8d5051067a3",
"metadata": {},
"source": [
"### AIMessage.tool_calls\n",
"Notice that the AIMessage has a `tool_calls` attribute. This contains in a standardized ToolCall format that is model-provider agnostic."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "166cb7ce-831d-4a7c-9721-abc107f11084",
"metadata": {},
"outputs": [],
"source": [
"ai_msg.tool_calls"
]
},
{
"cell_type": "markdown",
"id": "e082c9ac-c7c7-4aff-a8ec-8e220262a59c",
"metadata": {},
"source": [
"For more on binding tools and tool call outputs, head to the [tool calling](/docs/how_to/function_calling) docs."
]
},
{
"cell_type": "markdown",
"id": "a796d728-971b-408b-88d5-440015bbb941",
"metadata": {},
"source": [
"## API reference\n",
"\n",
"For detailed documentation of all Writer features, head to our [API reference](https://dev.writer.com/api-guides/api-reference/completion-api/chat-completion)."
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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",
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