Deploy: LangServer
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Dockerfile
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Dockerfile
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FROM python:3.11-slim
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RUN pip install poetry==1.6.1
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RUN poetry config virtualenvs.create false
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WORKDIR /code
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COPY ./pyproject.toml ./README.md ./poetry.lock* ./
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COPY ./package[s] ./packages
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RUN poetry install --no-interaction --no-ansi --no-root
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COPY ./app ./app
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RUN poetry install --no-interaction --no-ansi
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EXPOSE 8080
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CMD exec uvicorn app.server:app --host 0.0.0.0 --port 8080
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README.md
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README.md
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# oc-assistant
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# assistant
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## Installation
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Install the LangChain CLI if you haven't yet
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```bash
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pip install -U langchain-cli
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```
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## Adding packages
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```bash
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# adding packages from
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# https://github.com/langchain-ai/langchain/tree/master/templates
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langchain app add $PROJECT_NAME
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# adding custom GitHub repo packages
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langchain app add --repo $OWNER/$REPO
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# or with whole git string (supports other git providers):
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# langchain app add git+https://github.com/hwchase17/chain-of-verification
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# with a custom api mount point (defaults to `/{package_name}`)
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langchain app add $PROJECT_NAME --api_path=/my/custom/path/rag
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```
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Note: you remove packages by their api path
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```bash
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langchain app remove my/custom/path/rag
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```
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## Setup LangSmith (Optional)
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LangSmith will help us trace, monitor and debug LangChain applications.
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You can sign up for LangSmith [here](https://smith.langchain.com/).
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If you don't have access, you can skip this section
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```shell
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export LANGCHAIN_TRACING_V2=true
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export LANGCHAIN_API_KEY=<your-api-key>
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export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
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```
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## Launch LangServe
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```bash
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langchain serve
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```
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## Running in Docker
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This project folder includes a Dockerfile that allows you to easily build and host your LangServe app.
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### Building the Image
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To build the image, you simply:
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```shell
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docker build . -t my-langserve-app
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```
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If you tag your image with something other than `my-langserve-app`,
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note it for use in the next step.
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### Running the Image Locally
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To run the image, you'll need to include any environment variables
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necessary for your application.
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In the below example, we inject the `OPENAI_API_KEY` environment
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variable with the value set in my local environment
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(`$OPENAI_API_KEY`)
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We also expose port 8080 with the `-p 8080:8080` option.
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```shell
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docker run -e OPENAI_API_KEY=$OPENAI_API_KEY -p 8080:8080 my-langserve-app
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```
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0
app/__init__.py
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app/__init__.py
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app/server.py
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app/server.py
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from fastapi import FastAPI
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from fastapi.responses import RedirectResponse
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from langserve import add_routes
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app = FastAPI()
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@app.get("/")
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async def redirect_root_to_docs():
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return RedirectResponse("/docs")
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# Edit this to add the chain you want to add
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add_routes(app, NotImplemented)
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=8000)
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docker-compose.yml
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docker-compose.yml
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version: '3.8'
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services:
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app:
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build:
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context: .
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dockerfile: Dockerfile
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args:
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OPENAI_API_KEY: ${OPENAI_API_KEY}
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ports:
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- "8080:8080"
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volumes:
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- .:/code
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environment:
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- PYTHONUNBUFFERED=1
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command: >
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uvicorn app.server:app --host 0.0.0.0 --port 8080
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env_file:
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- .env
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0
packages/README.md
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packages/README.md
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pyproject.toml
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pyproject.toml
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[tool.poetry]
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name = "assistant"
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version = "0.1.0"
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description = ""
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authors = ["Your Name <you@example.com>"]
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readme = "README.md"
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packages = [
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{ include = "app" },
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]
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[tool.poetry.dependencies]
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python = "^3.11"
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uvicorn = "^0.23.2"
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langserve = {extras = ["server"], version = ">=0.0.30"}
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pydantic = "<2"
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[tool.poetry.group.dev.dependencies]
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langchain-cli = ">=0.0.15"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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{"token": "ya29.a0AeDClZBjncDp4ZwNKNtQ5ghKHPr1IT4XkgDc9QtvhPLrFGAR84f5r5iZPCd91VB7_WoJCG3iGQS0MU1n01xdRlEjDl7wVlKjKF0H680Bdim_bzykCXn3Jj0nVVkkHDOZP7RWeP1oAfY7Vjd4qbw_VxOdOzVzG_Bc6Auy4EJINAaCgYKAcYSARASFQHGX2MipaJllxIRMLCcZb2csCZECA0177", "refresh_token": "1//05nbircha66xlCgYIARAAGAUSNwF-L9IrxbE2v7kfLwXb4u0pD6Rin7xEBOTT83DeH7t2ttfD5CDmUCyhDsOaVRMRK_r8UtdoMq8", "token_uri": "https://oauth2.googleapis.com/token", "client_id": "19011937557-bi5nh4afvg4tuqr87v6dp55qj9a9o1h2.apps.googleusercontent.com", "client_secret": "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", "scopes": ["https://mail.google.com/"], "universe_domain": "googleapis.com", "account": "", "expiry": "2024-10-30T01:16:56.882894Z"}
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{"token": "ya29.a0AeDClZABfltq9OLAHLaKOn2vHXVhOJSMTTe9HijkoZTexSswOMjnIlJj4-NV4TOwCq-wRKJadY7wppE2hAodyY3P0mHCzfpxbNZo0PGWMf2t6gmEDup4quGcIMHup1xjKETg0JkftCDepAh7UTi2tEg_YMeReI3TaZTvaMlScwaCgYKAewSARASFQHGX2MijepHh68yMlxXo_TGuquUPw0177", "refresh_token": "1//05nbircha66xlCgYIARAAGAUSNwF-L9IrxbE2v7kfLwXb4u0pD6Rin7xEBOTT83DeH7t2ttfD5CDmUCyhDsOaVRMRK_r8UtdoMq8", "token_uri": "https://oauth2.googleapis.com/token", "client_id": "19011937557-bi5nh4afvg4tuqr87v6dp55qj9a9o1h2.apps.googleusercontent.com", "client_secret": "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", "scopes": ["https://mail.google.com/"], "universe_domain": "googleapis.com", "account": "", "expiry": "2024-10-30T20:18:03.194400Z"}
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