| Name | langchain-writer JSON |
| Version |
0.3.3
JSON |
| download |
| home_page | https://www.writer.com |
| Summary | An integration package connecting Writer and LangChain |
| upload_time | 2025-08-19 10:19:09 |
| maintainer | None |
| docs_url | None |
| author | Writer, Inc. |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
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| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# langchain-writer
This package contains the official LangChain integrations for Writer through their `writer-sdk`.
## Installation and Setup
- Install the LangChain partner package:
```bash
pip install -U langchain-writer
```
- Sign up for [Writer AI Studio](https://app.writer.com/aistudio/signup?utm_campaign=devrel) and follow this [Quickstart](https://dev.writer.com/api-guides/quickstart) to obtain an API key.
- Set your Writer API key as an environment variable (`WRITER_API_KEY`).
## Chat capabilities
The `ChatWriter` class provides support of streaming and non-streaming chat completions, tool calls, batching, and asynchronous usage.
### Streaming (sync/async):
```python
from langchain_writer import ChatWriter
llm = ChatWriter()
# Sync chat call
generator = llm.stream("Sing a ballad of LangChain.")
for chunk in generator:
print(chunk)
# Async chat call
generator = await llm.astream("Sing a ballad of LangChain.")
async for chunk in generator:
print(chunk)
```
### Non-streaming (sync/async):
```python
from langchain_writer import ChatWriter
llm = ChatWriter()
# Sync chat call
llm.invoke("Sing a ballad of LangChain.")
# Async chat call
await llm.ainvoke("Sing a ballad of LangChain.")
```
### Batching (sync/async)
```python
from langchain_writer import ChatWriter
llm = ChatWriter()
llm.batch(
[
"How to cook pancakes?",
"How to compose poem?",
"How to run faster?",
],
config={"max_concurrency": 2},
)
```
### Tool binding
```python
from langchain_writer import ChatWriter
from langchain_core.tools import tool
from typing import Optional
from pydantic import BaseModel, Field
@tool
def get_supercopa_trophies_count(club_name: str) -> Optional[int]:
"""Returns information about supercopa trophies count.
Args:
club_name: Club you want to investigate info of supercopa trophies about
Returns:
Number of supercopa trophies or None if there is no info about requested club
"""
# Tool implementation
class GetWeather(BaseModel):
'''Get the current weather in a given location'''
location: str = Field(..., description="The city and state, e.g. San Francisco, CA")
llm = ChatWriter()
llm.bind_tools([get_supercopa_trophies_count, GetWeather])
```
## Additional resources
To learn more about LangChain, see the [official LangChain documentation](https://python.langchain.com/docs/introduction/). To learn more about Writer, see the [Writer developer documentation](https://dev.writer.com/home/introduction).
## About Writer
Writer is the full-stack generative AI platform for enterprises. Quickly and easily build and deploy generative AI apps with a suite of developer tools fully integrated with our platform of LLMs, graph-based RAG tools, AI guardrails, and more. Learn more at [writer.com](https://www.writer.com?utm_source=github&utm_medium=readme&utm_campaign=devrel).
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"description": "# langchain-writer\n\nThis package contains the official LangChain integrations for Writer through their `writer-sdk`.\n\n## Installation and Setup\n\n- Install the LangChain partner package:\n\n```bash\npip install -U langchain-writer\n```\n\n- Sign up for [Writer AI Studio](https://app.writer.com/aistudio/signup?utm_campaign=devrel) and follow this [Quickstart](https://dev.writer.com/api-guides/quickstart) to obtain an API key.\n- Set your Writer API key as an environment variable (`WRITER_API_KEY`).\n\n## Chat capabilities\n\nThe `ChatWriter` class provides support of streaming and non-streaming chat completions, tool calls, batching, and asynchronous usage.\n\n### Streaming (sync/async):\n```python\nfrom langchain_writer import ChatWriter\n\nllm = ChatWriter()\n\n# Sync chat call\ngenerator = llm.stream(\"Sing a ballad of LangChain.\")\n\nfor chunk in generator:\n print(chunk)\n\n# Async chat call\ngenerator = await llm.astream(\"Sing a ballad of LangChain.\")\n\nasync for chunk in generator:\n print(chunk)\n```\n\n### Non-streaming (sync/async):\n\n```python\nfrom langchain_writer import ChatWriter\n\nllm = ChatWriter()\n\n# Sync chat call\nllm.invoke(\"Sing a ballad of LangChain.\")\n\n# Async chat call\nawait llm.ainvoke(\"Sing a ballad of LangChain.\")\n```\n\n### Batching (sync/async)\n\n```python\nfrom langchain_writer import ChatWriter\n\nllm = ChatWriter()\n\nllm.batch(\n [\n \"How to cook pancakes?\",\n \"How to compose poem?\",\n \"How to run faster?\",\n ],\n config={\"max_concurrency\": 2},\n )\n```\n\n### Tool binding\n\n```python\nfrom langchain_writer import ChatWriter\nfrom langchain_core.tools import tool\nfrom typing import Optional\nfrom pydantic import BaseModel, Field\n\n\n@tool\ndef get_supercopa_trophies_count(club_name: str) -> Optional[int]:\n \"\"\"Returns information about supercopa trophies count.\n\n Args:\n club_name: Club you want to investigate info of supercopa trophies about\n\n Returns:\n Number of supercopa trophies or None if there is no info about requested club\n \"\"\"\n # Tool implementation\n\n\nclass 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\nllm = ChatWriter()\n\nllm.bind_tools([get_supercopa_trophies_count, GetWeather])\n```\n\n## Additional resources\nTo learn more about LangChain, see the [official LangChain documentation](https://python.langchain.com/docs/introduction/). To learn more about Writer, see the [Writer developer documentation](https://dev.writer.com/home/introduction).\n\n## About Writer\nWriter is the full-stack generative AI platform for enterprises. Quickly and easily build and deploy generative AI apps with a suite of developer tools fully integrated with our platform of LLMs, graph-based RAG tools, AI guardrails, and more. Learn more at [writer.com](https://www.writer.com?utm_source=github&utm_medium=readme&utm_campaign=devrel).\n",
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