From f826cd12de432cc4257bdcec72e016651f3924e8 Mon Sep 17 00:00:00 2001 From: Mikyo King Date: Fri, 26 Jan 2024 08:56:17 -0700 Subject: [PATCH 1/3] docs(python): llama-index example (#127) Co-authored-by: Dustin Ngo --- python/examples/llama-index/README.md | 34 + .../examples/llama-index/backend/.gitignore | 3 + .../examples/llama-index/backend/Dockerfile | 28 + python/examples/llama-index/backend/README.md | 56 + .../llama-index/backend/app/__init__.py | 0 .../llama-index/backend/app/api/__init__.py | 0 .../backend/app/api/routers/__init__.py | 0 .../backend/app/api/routers/chat.py | 68 + .../llama-index/backend/app/context.py | 11 + .../backend/app/engine/__init__.py | 0 .../backend/app/engine/constants.py | 4 + .../llama-index/backend/app/engine/context.py | 14 + .../backend/app/engine/generate.py | 31 + .../llama-index/backend/app/engine/index.py | 26 + .../examples/llama-index/backend/data/101.pdf | Bin 0 -> 47931 bytes .../llama-index/backend/instrument.py | 16 + 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python/examples/llama-index/frontend/app/favicon.ico create mode 100644 python/examples/llama-index/frontend/app/globals.css create mode 100644 python/examples/llama-index/frontend/app/layout.tsx create mode 100644 python/examples/llama-index/frontend/app/page.tsx create mode 100644 python/examples/llama-index/frontend/next.config.js create mode 100644 python/examples/llama-index/frontend/package-lock.json create mode 100644 python/examples/llama-index/frontend/package.json create mode 100644 python/examples/llama-index/frontend/postcss.config.js create mode 100644 python/examples/llama-index/frontend/public/llama.png create mode 100644 python/examples/llama-index/frontend/tailwind.config.ts create mode 100644 python/examples/llama-index/frontend/tsconfig.json diff --git a/python/examples/llama-index/README.md b/python/examples/llama-index/README.md new file mode 100644 index 000000000..476dc7e40 --- /dev/null +++ b/python/examples/llama-index/README.md @@ -0,0 +1,34 @@ +# llama-index OpenInference instrumentation example + +This is a [LlamaIndex](https://www.llamaindex.ai/) project bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama) and instrumented using OpenInference. + +## Getting Started with Local Development + +First, startup the backend as described in the [backend README](./backend/README.md). + +Second, run the development server of the frontend as described in the [frontend README](./frontend/README.md). + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +## Getting Started with Docker-Compose + +Generate a Llama Index vector store index: + +``` +cd ./backend +python app/engine/generate.py +cd .. +``` + +Ensure that Docker is installed and running. Run the command `docker compose up` to spin up services for the frontend, backend, and Phoenix. Once those services are running, open [http://localhost:3000](http://localhost:3000) to use the chat interface. When you're finished, run `docker compose down` to spin down the services. + +Traces can be viewed using the [Phoenix UI](http://localhost:6006). + +## Learn More + +To learn more about LlamaIndex, take a look at the following resources: + +- [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex (Python features). +- [LlamaIndexTS Documentation](https://ts.llamaindex.ai) - learn about LlamaIndex (Typescript features). + +You can check out [the LlamaIndexTS GitHub repository](https://github.com/run-llama/LlamaIndexTS) - your feedback and contributions are welcome! diff --git a/python/examples/llama-index/backend/.gitignore b/python/examples/llama-index/backend/.gitignore new file mode 100644 index 000000000..a6ad564cd --- /dev/null +++ b/python/examples/llama-index/backend/.gitignore @@ -0,0 +1,3 @@ +__pycache__ +storage +.env diff --git a/python/examples/llama-index/backend/Dockerfile b/python/examples/llama-index/backend/Dockerfile new file mode 100644 index 000000000..a7c0e58c8 --- /dev/null +++ b/python/examples/llama-index/backend/Dockerfile @@ -0,0 +1,28 @@ +# Use an official Python runtime as a parent image +FROM python:3.11-slim + +# install wget for healthchecks +RUN apt-get update \ + && apt-get install -y --no-install-recommends wget \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +WORKDIR /app + +# Install poetry +RUN pip install poetry + +# Copy the pyproject.toml (and possibly poetry.lock) file to the container +COPY pyproject.toml poetry.lock* /app/ + +# Install dependencies via poetry +RUN poetry config virtualenvs.create false \ +&& poetry install --only main + + # Copy the rest of your application's code +COPY . /app/ + +EXPOSE 8000 + +# Run the main.py script when the container starts +CMD ["python", "main.py"] diff --git a/python/examples/llama-index/backend/README.md b/python/examples/llama-index/backend/README.md new file mode 100644 index 000000000..7f659b689 --- /dev/null +++ b/python/examples/llama-index/backend/README.md @@ -0,0 +1,56 @@ +This is a [LlamaIndex](https://www.llamaindex.ai/) project using [FastAPI](https://fastapi.tiangolo.com/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama). + +## Getting Started + +First, setup the environment: + +``` +poetry install +poetry shell +``` + +By default, we use the OpenAI LLM (though you can customize, see `app/context.py`). As a result you need to specify an `OPENAI_API_KEY` in an .env file in this directory. + +Example `.env` file: + +``` +OPENAI_API_KEY= +``` + +Second, generate the embeddings of the documents in the `./data` directory (if this folder exists - otherwise, skip this step): + +``` +python app/engine/generate.py +``` + +Third, run the development server: + +``` +python main.py +``` + +Then call the API endpoint `/api/chat` to see the result: + +``` +curl --location 'localhost:8000/api/chat' \ +--header 'Content-Type: application/json' \ +--data '{ "messages": [{ "role": "user", "content": "Hello" }] }' +``` + +You can start editing the API by modifying `app/api/routers/chat.py`. The endpoint auto-updates as you save the file. + +Open [http://localhost:8000/docs](http://localhost:8000/docs) with your browser to see the Swagger UI of the API. + +The API allows CORS for all origins to simplify development. You can change this behavior by setting the `ENVIRONMENT` environment variable to `prod`: + +``` +ENVIRONMENT=prod uvicorn main:app +``` + +## Learn More + +To learn more about LlamaIndex, take a look at the following resources: + +- [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex. + +You can check out [the LlamaIndex GitHub repository](https://github.com/run-llama/llama_index) - your feedback and contributions are welcome! diff --git a/python/examples/llama-index/backend/app/__init__.py b/python/examples/llama-index/backend/app/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/python/examples/llama-index/backend/app/api/__init__.py b/python/examples/llama-index/backend/app/api/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/python/examples/llama-index/backend/app/api/routers/__init__.py b/python/examples/llama-index/backend/app/api/routers/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/python/examples/llama-index/backend/app/api/routers/chat.py b/python/examples/llama-index/backend/app/api/routers/chat.py new file mode 100644 index 000000000..c935dcbb5 --- /dev/null +++ b/python/examples/llama-index/backend/app/api/routers/chat.py @@ -0,0 +1,68 @@ +from typing import List + +from fastapi import APIRouter, Depends, HTTPException, Request, status +from fastapi.responses import StreamingResponse +from llama_index.chat_engine.types import BaseChatEngine +from llama_index.llms.base import ChatMessage +from llama_index.llms.types import MessageRole +from pydantic import BaseModel + +from app.engine.index import get_chat_engine + +chat_router = r = APIRouter() + + +class _Message(BaseModel): + role: MessageRole + content: str + + +class _ChatData(BaseModel): + messages: List[_Message] + + +@r.head("/healthcheck") +@r.get("/healthcheck") +def healthcheck(): + return "Hello world!" + + +@r.post("") +async def chat( + request: Request, + data: _ChatData, + chat_engine: BaseChatEngine = Depends(get_chat_engine), +): + # check preconditions and get last message + if len(data.messages) == 0: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="No messages provided", + ) + lastMessage = data.messages.pop() + if lastMessage.role != MessageRole.USER: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Last message must be from user", + ) + # convert messages coming from the request to type ChatMessage + messages = [ + ChatMessage( + role=m.role, + content=m.content, + ) + for m in data.messages + ] + + # query chat engine + response = await chat_engine.astream_chat(lastMessage.content, messages) + + # stream response + async def event_generator(): + async for token in response.async_response_gen(): + # If client closes connection, stop sending events + if await request.is_disconnected(): + break + yield token + + return StreamingResponse(event_generator(), media_type="text/plain") diff --git a/python/examples/llama-index/backend/app/context.py b/python/examples/llama-index/backend/app/context.py new file mode 100644 index 000000000..ae00de217 --- /dev/null +++ b/python/examples/llama-index/backend/app/context.py @@ -0,0 +1,11 @@ +import os + +from llama_index import ServiceContext +from llama_index.llms import OpenAI + + +def create_base_context(): + model = os.getenv("MODEL", "gpt-3.5-turbo") + return ServiceContext.from_defaults( + llm=OpenAI(model=model), + ) diff --git a/python/examples/llama-index/backend/app/engine/__init__.py b/python/examples/llama-index/backend/app/engine/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/python/examples/llama-index/backend/app/engine/constants.py b/python/examples/llama-index/backend/app/engine/constants.py new file mode 100644 index 000000000..4180edc4b --- /dev/null +++ b/python/examples/llama-index/backend/app/engine/constants.py @@ -0,0 +1,4 @@ +STORAGE_DIR = "storage" # directory to cache the generated index +DATA_DIR = "data" # directory containing the documents to index +CHUNK_SIZE = 1024 +CHUNK_OVERLAP = 20 diff --git a/python/examples/llama-index/backend/app/engine/context.py b/python/examples/llama-index/backend/app/engine/context.py new file mode 100644 index 000000000..342ce94c2 --- /dev/null +++ b/python/examples/llama-index/backend/app/engine/context.py @@ -0,0 +1,14 @@ +from llama_index import ServiceContext + +from app.context import create_base_context +from app.engine.constants import CHUNK_OVERLAP, CHUNK_SIZE + + +def create_service_context(): + base = create_base_context() + return ServiceContext.from_defaults( + llm=base.llm, + embed_model=base.embed_model, + chunk_size=CHUNK_SIZE, + chunk_overlap=CHUNK_OVERLAP, + ) diff --git a/python/examples/llama-index/backend/app/engine/generate.py b/python/examples/llama-index/backend/app/engine/generate.py new file mode 100644 index 000000000..3c4cd6a9e --- /dev/null +++ b/python/examples/llama-index/backend/app/engine/generate.py @@ -0,0 +1,31 @@ +import logging + +from dotenv import load_dotenv + +from app.engine.constants import DATA_DIR, STORAGE_DIR +from app.engine.context import create_service_context + +load_dotenv() + +from llama_index import ( + SimpleDirectoryReader, + VectorStoreIndex, +) + +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger() + + +def generate_datasource(service_context): + logger.info("Creating new index") + # load the documents and create the index + documents = SimpleDirectoryReader(DATA_DIR).load_data() + index = VectorStoreIndex.from_documents(documents, service_context=service_context) + # store it for later + index.storage_context.persist(STORAGE_DIR) + logger.info(f"Finished creating new index. Stored in {STORAGE_DIR}") + + +if __name__ == "__main__": + service_context = create_service_context() + generate_datasource(service_context) diff --git a/python/examples/llama-index/backend/app/engine/index.py b/python/examples/llama-index/backend/app/engine/index.py new file mode 100644 index 000000000..13029de17 --- /dev/null +++ b/python/examples/llama-index/backend/app/engine/index.py @@ -0,0 +1,26 @@ +import logging +import os + +from llama_index import ( + StorageContext, + load_index_from_storage, +) + +from app.engine.constants import STORAGE_DIR +from app.engine.context import create_service_context + + +def get_chat_engine(): + service_context = create_service_context() + # check if storage already exists + if not os.path.exists(STORAGE_DIR): + raise Exception( + "StorageContext is empty - call 'python app/engine/generate.py' to generate the storage first" + ) + logger = logging.getLogger("uvicorn") + # load the existing index + logger.info(f"Loading index from {STORAGE_DIR}...") + storage_context = StorageContext.from_defaults(persist_dir=STORAGE_DIR) + index = load_index_from_storage(storage_context, service_context=service_context) + logger.info(f"Finished loading index from {STORAGE_DIR}") + return index.as_chat_engine() diff --git a/python/examples/llama-index/backend/data/101.pdf b/python/examples/llama-index/backend/data/101.pdf new file mode 100644 index 0000000000000000000000000000000000000000..ae5acffd5398b7c59e2df9e6dead2d99128b719c GIT binary patch literal 47931 zcmcG#V|eDvwl5mnwr#Ux+v?c%8>eI2w$ZUWw(X>2vy*hpo1Sy7ebzZ=?PuQ)_r721 zsj5+{Fg6`vX*wHhEA5ArY1zp zjIu;*oZPI;j0!}o%p8njM9dt_Oe~D@L|lxjpFQl%Y>bjb+C=P}+(ayFth)UC@TPVq zfA|pnAHUBzSpIDeQBz}k6H`S)CtK&w8Aa@ETx{)}iP#twolH$EjRE#fM9eJw{EXt3 zHULv6MsXWMfa%{u7^OtDzX%Jnii?Ygh>3Btig0srh;y@XiimM>u&{`62n#cDu=9WU z>}3~Y;t~=T6BFTNV`CHI;t*mL=U^2R6Xp=&W*6hvWt6frF?HAeBRL26pPHHdr--bd zYEWjBHMKJbSP*ft{#lRfUvjcDD%;xwJ}KD$qEPu%4-qRDE2FB1gDIn?vZ)!PhBh-1 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(>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + +[metadata] +lock-version = "2.0" +python-versions = "^3.11,<3.12" +content-hash = "addeab68bba4ab1df588c172d7693acca8962cd9f2c202f60045e7a7ad997d0f" diff --git a/python/examples/llama-index/backend/pyproject.toml b/python/examples/llama-index/backend/pyproject.toml new file mode 100644 index 000000000..3f7a68fc6 --- /dev/null +++ b/python/examples/llama-index/backend/pyproject.toml @@ -0,0 +1,22 @@ +[tool.poetry] +name = "app" +version = "0.1.0" +description = "" +authors = ["Arize OSS "] +readme = "README.md" + +[tool.poetry.dependencies] +python = "^3.11,<3.12" +fastapi = "^0.104.1" +uvicorn = { extras = ["standard"], version = "^0.23.2" } +llama-index = "^0.9.19" +pypdf = "^3.17.0" +python-dotenv = "^1.0.0" +openinference-semantic-conventions = "*" +openinference-instrumentation-llama-index = "*" +opentelemetry-exporter-otlp = "^1.22.0" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/python/examples/llama-index/backend/tests/__init__.py b/python/examples/llama-index/backend/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/python/examples/llama-index/compose.yml b/python/examples/llama-index/compose.yml new file mode 100644 index 000000000..54c03e0ba --- /dev/null +++ b/python/examples/llama-index/compose.yml @@ -0,0 +1,27 @@ +services: + phoenix: + image: arizephoenix/phoenix:latest + ports: + - "6006:6006" + backend: + build: backend + ports: + - "8000:8000" + environment: + - OPENAI_API_KEY=${OPENAI_API_KEY} + - COLLECTOR_ENDPOINT=http://phoenix:6006/v1/traces + - PROD_CORS_ORIGIN=http://localhost:3000 + # Set INSTRUMENT_LLAMA_INDEX=false to disable instrumentation + - INSTRUMENT_LLAMA_INDEX=true + healthcheck: + test: ["CMD", "wget", "--spider", "http://0.0.0.0:8000/api/chat/healthcheck"] + interval: 5s + timeout: 1s + retries: 5 + frontend: + build: frontend + ports: + - "3000:3000" + depends_on: + backend: + condition: service_healthy diff --git a/python/examples/llama-index/frontend/.env.example b/python/examples/llama-index/frontend/.env.example new file mode 100644 index 000000000..7ac0a0155 --- /dev/null +++ b/python/examples/llama-index/frontend/.env.example @@ -0,0 +1,3 @@ +# Rename this file to `.env.local` to use environment variables locally with `next dev` +# https://nextjs.org/docs/pages/building-your-application/configuring/environment-variables +MY_HOST="example.com" diff --git a/python/examples/llama-index/frontend/.gitignore b/python/examples/llama-index/frontend/.gitignore new file mode 100644 index 000000000..8f322f0d8 --- /dev/null +++ b/python/examples/llama-index/frontend/.gitignore @@ -0,0 +1,35 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/python/examples/llama-index/frontend/Dockerfile b/python/examples/llama-index/frontend/Dockerfile new file mode 100644 index 000000000..912c0b084 --- /dev/null +++ b/python/examples/llama-index/frontend/Dockerfile @@ -0,0 +1,45 @@ +# Adapted from https://github.com/vercel/next.js/blob/fb2d2dd01a5f73ac62c4809b7b9c1490617f8705/examples/with-docker/Dockerfile +FROM node:18-alpine AS base + +# Install dependencies only when needed +FROM base AS deps +# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed. +RUN apk add --no-cache libc6-compat +WORKDIR /app +COPY package*.json ./ +RUN npm ci + +# Rebuild the source code only when needed +FROM base AS builder +WORKDIR /app +COPY --from=deps /app/node_modules ./node_modules +COPY . . +# Set the chat api url. This environment variable must be set at build time. +# See https://github.com/vercel/next.js/discussions/44628#discussioncomment-7040424 for more information. +ENV NEXT_PUBLIC_CHAT_API http://localhost:8000/api/chat +RUN npm run build + +# Production image, copy all the files and run next +FROM base AS runner +WORKDIR /app +ENV NODE_ENV production +# Uncomment the following line in case you want to disable telemetry during runtime. +# ENV NEXT_TELEMETRY_DISABLED 1 +RUN addgroup --system --gid 1001 nodejs +RUN adduser --system --uid 1001 nextjs +COPY --from=builder /app/public ./public +# Set the correct permission for prerender cache +RUN mkdir .next +RUN chown nextjs:nodejs .next +# Automatically leverage output traces to reduce image size +# https://nextjs.org/docs/advanced-features/output-file-tracing +COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./ +COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static +USER nextjs +EXPOSE 3000 +ENV PORT 3000 +# set hostname to localhost +ENV HOSTNAME "0.0.0.0" +# server.js is created by next build from the standalone output +# https://nextjs.org/docs/pages/api-reference/next-config-js/output +CMD ["node", "server.js"] diff --git a/python/examples/llama-index/frontend/README.md b/python/examples/llama-index/frontend/README.md new file mode 100644 index 000000000..1509ded7c --- /dev/null +++ b/python/examples/llama-index/frontend/README.md @@ -0,0 +1,30 @@ +This is a [LlamaIndex](https://www.llamaindex.ai/) project using [Next.js](https://nextjs.org/) bootstrapped with [`create-llama`](https://github.com/run-llama/LlamaIndexTS/tree/main/packages/create-llama). + +## Getting Started + +First, install the dependencies: + +``` +npm install +``` + +Second, run the development server: + +``` +npm run dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font. + +## Learn More + +To learn more about LlamaIndex, take a look at the following resources: + +- [LlamaIndex Documentation](https://docs.llamaindex.ai) - learn about LlamaIndex (Python features). +- [LlamaIndexTS Documentation](https://ts.llamaindex.ai) - learn about LlamaIndex (Typescript features). + +You can check out [the LlamaIndexTS GitHub repository](https://github.com/run-llama/LlamaIndexTS) - your feedback and contributions are welcome! diff --git a/python/examples/llama-index/frontend/app/components/chat-section.tsx b/python/examples/llama-index/frontend/app/components/chat-section.tsx new file mode 100644 index 000000000..08afc2548 --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/chat-section.tsx @@ -0,0 +1,46 @@ +"use client"; + +import { useChat } from "ai/react"; +import { useMemo } from "react"; +import { insertDataIntoMessages } from "./transform"; +import { ChatInput, ChatMessages } from "./ui/chat"; + +export default function ChatSection() { + const { + messages, + input, + isLoading, + handleSubmit, + handleInputChange, + reload, + stop, + data, + } = useChat({ + api: process.env.NEXT_PUBLIC_CHAT_API, + headers: { + "Content-Type": "application/json", // using JSON because of vercel/ai 2.2.26 + }, + }); + + const transformedMessages = useMemo(() => { + return insertDataIntoMessages(messages, data); + }, [messages, data]); + + return ( +

+ + +
+ ); +} diff --git a/python/examples/llama-index/frontend/app/components/header.tsx b/python/examples/llama-index/frontend/app/components/header.tsx new file mode 100644 index 000000000..2b0e488f7 --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/header.tsx @@ -0,0 +1,28 @@ +import Image from "next/image"; + +export default function Header() { + return ( +
+

+ Get started by editing  + app/page.tsx +

+ +
+ ); +} diff --git a/python/examples/llama-index/frontend/app/components/transform.ts b/python/examples/llama-index/frontend/app/components/transform.ts new file mode 100644 index 000000000..5af8fb3cb --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/transform.ts @@ -0,0 +1,19 @@ +import { JSONValue, Message } from "ai"; + +export const isValidMessageData = (rawData: JSONValue | undefined) => { + if (!rawData || typeof rawData !== "object") return false; + if (Object.keys(rawData).length === 0) return false; + return true; +}; + +export const insertDataIntoMessages = ( + messages: Message[], + data: JSONValue[] | undefined, +) => { + if (!data) return messages; + messages.forEach((message, i) => { + const rawData = data[i]; + if (isValidMessageData(rawData)) message.data = rawData; + }); + return messages; +}; diff --git a/python/examples/llama-index/frontend/app/components/ui/chat/chat-avatar.tsx b/python/examples/llama-index/frontend/app/components/ui/chat/chat-avatar.tsx new file mode 100644 index 000000000..cd241104e --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/ui/chat/chat-avatar.tsx @@ -0,0 +1,34 @@ +"use client"; + +import Image from "next/image"; +import { Message } from "./chat-messages"; + +export default function ChatAvatar(message: Message) { + if (message.role === "user") { + return ( +
+ + + +
+ ); + } + + return ( +
+ Llama Logo +
+ ); +} diff --git a/python/examples/llama-index/frontend/app/components/ui/chat/chat-input.tsx b/python/examples/llama-index/frontend/app/components/ui/chat/chat-input.tsx new file mode 100644 index 000000000..7c3e87280 --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/ui/chat/chat-input.tsx @@ -0,0 +1,43 @@ +"use client"; + +export interface ChatInputProps { + /** The current value of the input */ + input?: string; + /** An input/textarea-ready onChange handler to control the value of the input */ + handleInputChange?: ( + e: + | React.ChangeEvent + | React.ChangeEvent, + ) => void; + /** Form submission handler to automatically reset input and append a user message */ + handleSubmit: (e: React.FormEvent) => void; + isLoading: boolean; + multiModal?: boolean; +} + +export default function ChatInput(props: ChatInputProps) { + return ( + <> +
+ + +
+ + ); +} diff --git a/python/examples/llama-index/frontend/app/components/ui/chat/chat-item.tsx b/python/examples/llama-index/frontend/app/components/ui/chat/chat-item.tsx new file mode 100644 index 000000000..2244f729a --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/ui/chat/chat-item.tsx @@ -0,0 +1,13 @@ +"use client"; + +import ChatAvatar from "./chat-avatar"; +import { Message } from "./chat-messages"; + +export default function ChatItem(message: Message) { + return ( +
+ +

{message.content}

+
+ ); +} diff --git a/python/examples/llama-index/frontend/app/components/ui/chat/chat-messages.tsx b/python/examples/llama-index/frontend/app/components/ui/chat/chat-messages.tsx new file mode 100644 index 000000000..0e9783940 --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/ui/chat/chat-messages.tsx @@ -0,0 +1,48 @@ +"use client"; + +import { useEffect, useRef } from "react"; +import ChatItem from "./chat-item"; + +export interface Message { + id: string; + content: string; + role: string; +} + +export default function ChatMessages({ + messages, + isLoading, + reload, + stop, +}: { + messages: Message[]; + isLoading?: boolean; + stop?: () => void; + reload?: () => void; +}) { + const scrollableChatContainerRef = useRef(null); + + const scrollToBottom = () => { + if (scrollableChatContainerRef.current) { + scrollableChatContainerRef.current.scrollTop = + scrollableChatContainerRef.current.scrollHeight; + } + }; + + useEffect(() => { + scrollToBottom(); + }, [messages.length]); + + return ( +
+
+ {messages.map((m: Message) => ( + + ))} +
+
+ ); +} diff --git a/python/examples/llama-index/frontend/app/components/ui/chat/index.ts b/python/examples/llama-index/frontend/app/components/ui/chat/index.ts new file mode 100644 index 000000000..5de7dce47 --- /dev/null +++ b/python/examples/llama-index/frontend/app/components/ui/chat/index.ts @@ -0,0 +1,6 @@ +import ChatInput from "./chat-input"; +import ChatMessages from "./chat-messages"; + +export type { ChatInputProps } from "./chat-input"; +export type { Message } from "./chat-messages"; +export { ChatInput, ChatMessages }; diff --git a/python/examples/llama-index/frontend/app/favicon.ico b/python/examples/llama-index/frontend/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..a1eaef62f2dfa895f1bbffc6595bb53d9604963e GIT binary patch literal 15406 zcmeHOd301&ny+Zjw05^kw?}7sW_pIBbJU*cW82!Nd(Lzp8%e^ZD1w3;vWU3QwhM?0 z(gqq3R6=A&QABN$6xmp^KoYhDBoGpIl3G&r5(uG^s(Q6A3H8nIzE|(PTUD=;fS&$i zPM6-i?|%1N@4MUkzKg+-VYu3GTaf--O$K>GCdE6 zEt$7Rgv=#jduEB+3c$DRgE_&n)j#XWt9{P#QSJRq76kIFk~D^j*s}^zO5?3~WEkk+ z@@vKIOIA78Z+li;v2(m?ts+C^HW-4Iafib~)+Mr!M(@bKNXz4Q`S!nlUMyHEdNvrR z%WNvM#LfONOrUX5N60*ZdWG!ggZ9kHAt5_6Y#mh_Xnuw~l{w@xt{EB^%ROXfu{3(G zduP4RcXR=TEDurGJ`5$3!fja;JT;!Y`(}|?`N3@*quPx=W9$yc=9s@{i%4S4PV%38 zmBO|WGQSP{XUCDR?oZ^bTKF@CU-Q6Va2C>Qj(no-{1`b)&yi>UCh$y^WQ44v$baGq z^6j2Y;?~?PGJo9RxZ}=(*g6MzyCK6-7$#T6Ve%bWLcx~DDb)H1`HwtHo}GUtPtoc; ziJw;v8PHo7=kIeA#{8}_yI-vP$`d&D+Nr?FXI2D`{P9=5@}>887;~>x?AP97hM}`G zX1!3-M_nbc9WkN|LV;LW3qM#mz41m#oPB?^&3+(C_WI}sO|IO%@_1v^ab`)LA}GUP zYomWQnOctScn50P)pUTG+s6NS7 zLB_fkTcj-Rx6Gr+KureuzdT8X!EC1Q&(EQ&;>u(Oj$g%phX7k=hM){Z$&erbm;Jj! zBRMt>l(j1e<*8#6YvP*;YaA<~wqgGfY8!rEXXlt7@a?<^wjRdj=cs+%_2JH29C@|( zxt3JlpwT6BC)YJf21SL;ys(hD&u<@gPsBdVA8F5em*Mred{ql3cuI3Gx{T}pozXZ~ zR9xSaThrRTyykUQ*XNR3j=f^cAJQLzPpPXxDt(xx?%RZX!{QB$b zUF%CuyH;1!aU>czkU{bGknN$xVcT%5`B|4R7J5bD0d)_PgmH5GC#V0DZ{O>^-kl3J zd5ml7-5b9m*Sb<6mezfaS+gtw3Y~fOtC0Co>=`4aeJ5be{&fODyu#M!(CLYr{D-HL zZ_k`4_GS_{uOs)y&Fa3bY11G*Sv=0ywBTUi)JzJQAA=3(2V2$%y_XrW4}U7yI)(zr zpCtdmm&m*8T@p)|kvsp>995p4S{)oiDNC`p?&}6$LmY#0L@vZQw*og>&;LO_wu6xrC9AELmqC&_nkCV6(vBh1MushSco$$DA+ zf{|`^ZV6R7%i76ZRZpI}P2_KyhrNFi&Mxv;Q1oMs(Da)|Q{d!83LKh2zS_6QSF!lN z616EcMXT~;c)nM5l z6<{p<1!G~FG!}5KmHPnaL23M*9gFur3GW|spynMCw=Ipix2zn>{N{U_H-g8rG1px{ z7ZUWdz97+PRhQU9>kgUF^vDIIG4U6oejmZ56NR( z|4KT2$wskv5B*+MfBgK~osaiWrZJg_!Sb{vUcC zYtS3ysaQZ_aUOZ{KTUWCyuUomY{Z#)TB2@c94LK&`LMH2nh(Cl`B)cTkj}%wmT~ZX z0tJr3_xeAQw|Xv#+uw)ptAy^)KD&;|PSllHW9{sRv9~C#eq|h#H<7rfguD&QF(2k& zJWfY>8op2J3N$|VZlHeFDBrI4=6JR)TP_x@xmA|T{gqVf>BpJ9kd`_MaNduPf9Y93 z0lX6j&hQRbk;maKKkE>8mpgn1*O>js=G6vIy}T-TdfH=je9{j&EvmzMni!q3#>(yT z--{*mbyrc0E^diY7s^E=zCViS4Z=BAD>+x?V6RQkrCUj-IgyyBy09a5qI26N;>*SI z*d+Gycsf-AkK|#AAO)c>LltH)oU6Tbw49m$K7n2dCb=PSwk)(6=nk zVn5tl)OILJw!=|sJ0h3%BavV5{EBqt$+s!6o>i<(dFKk9_LQZywe(FepNWw9Y?#a~ zD5l6ITQjlH1%CZ$WX)Q;21$&mtVsk|_pWNSMJJo>;riCLFtys`(qa#vrx^S0j58$h z#id`t1A;hNtwMBCt35*Odr>P=T|GZBB^-;aGmc2X4`5L;J$(Nq^j4Vc5s#)H-@f+9 zlai=p23`3)5fAGU11Zz+l;-yEaP)b+4$$N*8aC$>U7YLx#J%={kJ3Uw`Tp{i7!1 zyMUN{S%>_Wt0@SkhKG~XrZgoW5-LfYT6J(#8vXxQh{Z|nMwx<=VHkqHgZT}<_hib; zr5}t9JWZ1P{;NDA;3Q%mliHNTn_AUnNkS%7Q-vg9E|;EXC(6Nj1qDxh8;(OPX9kNK z6WyD-o~ewyM#Q+845RUCb|zOy9IN;I$eFiiqBD2*jGpDyKWBKgQ6c)4Pdb199r&); zkGOq9v}4$B@SXbxzOf=G7x4Z2--#OawTnA)ZuOQgY48-UwD^lYxl6IrwsFrj&b*rW z-MKYk=knS@)xWaq~_{}-{f3(nly6YPEH$r~(=*UR$|4gDVMt$^L; zpl#%kh;8`efMcQd>~|D8o|lJ}c31V18@xL{+~+CDD|2sL9zR1N_p)}+FM9HJb@VK+ zX*sv5<|c(+d&<&OnJNGZ9@ZFip{Ou?GGY~d5nJ{X5!(paetXtjUE(yzVCCX*_=XJl zidVkG<^v=1uBp7kxuQyd4`*EK8@2fAW!RQR9nhMPD2uxaS&>M4c1g57dkXrWLYHYj z)i1ryTd~lMZ?P(G$ttO@#r50najx2azGp?H*|~bBn!C}rNwY`4Jv}zkHu5g4JrVdI zMmw@rU_4RCmQ_fIRj21lY+>t9pmv_kvtyCdw`2LwZ5uzo#{F60dx&j@T&s7u-K#6d zC33`T&>$-rj4FMas4({4uzh47?2jSV!qy)a`wF;iLvI|c2h=e0rojH!{N7#jV!rZ) z)XsLE6U1KCIX zG-MuqDAY2Rg2Ih{fbi zkEcM>B=Udr0^(w`$y1d>9>nEDojxH966txqHF`Y?P@V!w#{D)DzE4y`;{T-1t~ zuxSk5!J~Kw&q(jU%VLw2^U1sIqwQ>c<@F8*PVVPqo~|#uekc};6W!a*W_Q&=#0tyc z!#c!`5wB#q6c#hJ#^(aFHOYQ8rmnNr1h`p~QfAd@lusn!)JR3)t&s_XJ8CLBd zh4};f5to_}7)Q*HcpgRZ1NKK)PQe_v|2XVFJWaau;jMW)7N}V8D^+=az<|Es zTLbY`#Cm5V=hCOfp9}ingAYEOCwKXA=?;pgZX@QxV$6kCFc+T0_#OkhvlH_$oc&Tx zgpD88|HqYe^iP<>ZzDf2@3;M#o!XY(k?ybPj-CQCvz(D?KZ{|rm^tpxNV$v3BU0|b z!}3T?@5!-y-0P9nRK;fgiT)2+M_|5S4Mkqhe;nhVUsrC*Y z<0_!XyEiB2Jy`Am{uD%z`{*I(Hj|Wl5ce7}7e2;(d>eMLy$y3ADJLh*3ziRK>nC!8 zQeLJRdq4wnBYQD_tKY>wwm2r1KzH+riigvblS73f9jT$;-|{ z?A{UbD`HXJxp3+F+Y*e?siYq{GI5WQUWBc({jgome{f@|Ac}W@afDo?yYeu`(N^Rm z*JDjxfVuE8w=ZB#lGYur@7dblERP+3J@&8NZ{p5Z4(?rj0Q*-uy~fY(&@p)cl;#ne zyU5$Tj*h6(m3)r&BgxoB64X@V7%jw8XHU2k?8ve z<9(04w~6&V&JX)Bc6QB0ZX4&g(vR2~!s560N&TXQbV0%S++v9$)cOcDW zJGmM6mVu>CZ0+Iz9D;T?Q~eT}V0 zY)w5gHJ(o#5BO0Ep2WCsnk?ru*}jE!N6Kqr?0B}Ua`_5B8Q*^{j5nBv6^9Ilu6+6} z`o34~|CITw_z@#VK^XJEiFshbJorXlPwR0$!o5I$^IJGyyo9kd1?4ID^CZhf`+|+n zHU|&A^iiO0_FP}>ykc+pqBDrA9P<>deOinEX!fK)`ev(S7dF!$Fn+Xsi(h*Zd|_)T z+Yda_e!%kSVoeo^bze&RvajjSSmR%X-81?Er=|*l6H|<#=Bbl?O;d1#R{pUVgtun# zP0orH*DJWeKlL5yHp2cw!W~JhJ1qCg75EiH{T!ZFsTgBcXHmfF-r8vuD^6I&ni{LO zZu2Q$!wTF-UGQn}0+fsD;G;*7aUtj{~J{? 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+
+ +
+ ); +} diff --git a/python/examples/llama-index/frontend/next.config.js b/python/examples/llama-index/frontend/next.config.js new file mode 100644 index 000000000..9953d823f --- /dev/null +++ b/python/examples/llama-index/frontend/next.config.js @@ -0,0 +1,21 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + output: "standalone", + images: { unoptimized: true }, + webpack: (config) => { + // See https://webpack.js.org/configuration/resolve/#resolvealias + config.resolve.alias = { + ...config.resolve.alias, + sharp$: false, + "onnxruntime-node$": false, + }; + return config; + }, + experimental: { + outputFileTracingIncludes: { + "/*": ["./cache/**/*"], + }, + }, +}; + +module.exports = nextConfig; diff --git a/python/examples/llama-index/frontend/package-lock.json b/python/examples/llama-index/frontend/package-lock.json new file mode 100644 index 000000000..3f8866b1d --- /dev/null +++ b/python/examples/llama-index/frontend/package-lock.json @@ -0,0 +1,5184 @@ +{ + 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"dev": "cross-env NEXT_PUBLIC_CHAT_API=http://localhost:8000/api/chat next dev", + "build": "next build", + "start": "next start", + "lint": "next lint", + "generate": "node app/api/chat/engine/generate.mjs" + }, + "dependencies": { + "ai": "^2.2.27", + "dotenv": "^16.3.1", + "llamaindex": "0.0.48", + "next": "^14.0.3", + "react": "^18.2.0", + "react-dom": "^18.2.0", + "supports-color": "^9.4.0" + }, + "devDependencies": { + "@types/node": "^20.10.3", + "@types/react": "^18.2.42", + "@types/react-dom": "^18.2.17", + "autoprefixer": "^10.4.16", + "postcss": "^8.4.32", + "tailwindcss": "^3.3.6", + "typescript": "^5.3.2", + "cross-env": "^7.0.3" + } +} diff --git a/python/examples/llama-index/frontend/postcss.config.js b/python/examples/llama-index/frontend/postcss.config.js new file mode 100644 index 000000000..12a703d90 --- /dev/null +++ b/python/examples/llama-index/frontend/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, 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zbV`Y&EG+5GPM%#W-PIfe5%Kx!zlLZHO`O!>oeUP#x^}HJD4G4EfCHfxtJ8BjqQs$O z@n+60L=YNGTfy&xgA?P29K|m`PDWU!!2_j-PsrdSQLlBnuiXS>5AXvtgz{BizCAhX vJhQ^1K}l_EDGGCB?_Esg99ufZln>@+s literal 0 HcmV?d00001 diff --git a/python/examples/llama-index/frontend/tailwind.config.ts b/python/examples/llama-index/frontend/tailwind.config.ts new file mode 100644 index 000000000..aa5580aff --- /dev/null +++ b/python/examples/llama-index/frontend/tailwind.config.ts @@ -0,0 +1,78 @@ +import type { Config } from "tailwindcss"; +import { fontFamily } from "tailwindcss/defaultTheme"; + +const config: Config = { + darkMode: ["class"], + content: ["app/**/*.{ts,tsx}", "components/**/*.{ts,tsx}"], + theme: { + container: { + center: true, + padding: "2rem", + screens: { + "2xl": "1400px", + }, + }, + extend: { + colors: { + border: "hsl(var(--border))", + input: "hsl(var(--input))", + ring: "hsl(var(--ring))", + background: "hsl(var(--background))", + foreground: "hsl(var(--foreground))", + primary: { + DEFAULT: "hsl(var(--primary))", + foreground: "hsl(var(--primary-foreground))", + }, + secondary: { + DEFAULT: "hsl(var(--secondary))", + foreground: "hsl(var(--secondary-foreground))", + }, + destructive: { + DEFAULT: "hsl(var(--destructive) / )", + foreground: "hsl(var(--destructive-foreground) / )", + }, + muted: { + DEFAULT: "hsl(var(--muted))", + foreground: "hsl(var(--muted-foreground))", + }, + accent: { + DEFAULT: "hsl(var(--accent))", + foreground: "hsl(var(--accent-foreground))", + }, + popover: { + DEFAULT: "hsl(var(--popover))", + foreground: "hsl(var(--popover-foreground))", + }, + card: { + DEFAULT: "hsl(var(--card))", + foreground: "hsl(var(--card-foreground))", + }, + }, + borderRadius: { + xl: `calc(var(--radius) + 4px)`, + lg: `var(--radius)`, + md: `calc(var(--radius) - 2px)`, + sm: "calc(var(--radius) - 4px)", + }, + fontFamily: { + sans: ["var(--font-sans)", ...fontFamily.sans], + }, + keyframes: { + "accordion-down": { + from: { height: "0" }, + to: { height: "var(--radix-accordion-content-height)" }, + }, + "accordion-up": { + from: { height: "var(--radix-accordion-content-height)" }, + to: { height: "0" }, + }, + }, + animation: { + "accordion-down": "accordion-down 0.2s ease-out", + "accordion-up": "accordion-up 0.2s ease-out", + }, + }, + }, + plugins: [], +}; +export default config; diff --git a/python/examples/llama-index/frontend/tsconfig.json b/python/examples/llama-index/frontend/tsconfig.json new file mode 100644 index 000000000..40c136b82 --- /dev/null +++ b/python/examples/llama-index/frontend/tsconfig.json @@ -0,0 +1,28 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./*"] + }, + "forceConsistentCasingInFileNames": true + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], + "exclude": ["node_modules"] +} From 61094f606dc0a6961fc566d8d45b27967a14c59c Mon Sep 17 00:00:00 2001 From: Roger Yang <80478925+RogerHYang@users.noreply.github.com> Date: Fri, 26 Jan 2024 08:52:36 -0800 Subject: [PATCH 2/3] feat: langchain instrumentor (#138) --- README.md | 15 +- .../LICENSE | 201 +++++++ .../README.rst | 14 + .../examples/openai_chat_stream.py | 22 + .../examples/requirements.txt | 4 + .../pyproject.toml | 63 +++ .../instrumentation/langchain/__init__.py | 61 ++ .../instrumentation/langchain/_tracer.py | 524 ++++++++++++++++++ .../instrumentation/langchain/package.py | 2 + .../instrumentation/langchain/py.typed | 0 .../instrumentation/langchain/version.py | 1 + .../langchain/test_instrumentor.py | 353 ++++++++++++ python/tox.ini | 7 + release-please-config.json | 4 + 14 files changed, 1264 insertions(+), 7 deletions(-) create mode 100644 python/instrumentation/openinference-instrumentation-langchain/LICENSE create mode 100644 python/instrumentation/openinference-instrumentation-langchain/README.rst create mode 100644 python/instrumentation/openinference-instrumentation-langchain/examples/openai_chat_stream.py create mode 100644 python/instrumentation/openinference-instrumentation-langchain/examples/requirements.txt create mode 100644 python/instrumentation/openinference-instrumentation-langchain/pyproject.toml create mode 100644 python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/__init__.py create mode 100644 python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/_tracer.py create mode 100644 python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/package.py create mode 100644 python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/py.typed create mode 100644 python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py create mode 100644 python/instrumentation/openinference-instrumentation-langchain/tests/openinference/instrumentation/langchain/test_instrumentor.py diff --git a/README.md b/README.md index ecdd93c00..b1af179d3 100644 --- a/README.md +++ b/README.md @@ -22,13 +22,14 @@ OpenInference provides a set of instrumentations for popular machine learning SD ## Python -| Package | Description | Version | -| ---------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -| [`openinference-semantic-conventions`](./python/openinference-semantic-conventions/README.md) | Semantic conventions for tracing of LLM Apps. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-semantic-conventions.svg)](https://pypi.python.org/pypi/openinference-semantic-conventions) | -| [`openinference-instrumentation-openai`](./python/instrumentation/openinference-instrumentation-openai/README.rst) | OpenInference Instrumentation for OpenAI SDK. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openai.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openai) | -| [`openinference-instrumentation-llama-index`](./python/instrumentation/openinference-instrumentation-llama-index/README.rst) | OpenInference Instrumentation for LlamaIndex. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-llama-index.svg)](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) | -| [`openinference-instrumentation-dspy`](./python/instrumentation/openinference-instrumentation-dspy/README.rst) | OpenInference Instrumentation for DSPy. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-dspy.svg)](https://pypi.python.org/pypi/openinference-instrumentation-dspy) | -| [`openinference-instrumentation-bedrock`](./python/instrumentation/openinference-instrumentation-bedrock/README.rst) | OpenInference Instrumentation for AWS Bedrock. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-bedrock.svg)](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) | +| Package | Description | Version | +| ---------------------------------------------------------------------------------------------------------------------------- |------------------------------------------------| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| [`openinference-semantic-conventions`](./python/openinference-semantic-conventions/README.md) | Semantic conventions for tracing of LLM Apps. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-semantic-conventions.svg)](https://pypi.python.org/pypi/openinference-semantic-conventions) | +| [`openinference-instrumentation-openai`](./python/instrumentation/openinference-instrumentation-openai/README.rst) | OpenInference Instrumentation for OpenAI SDK. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-openai.svg)](https://pypi.python.org/pypi/openinference-instrumentation-openai) | +| [`openinference-instrumentation-llama-index`](./python/instrumentation/openinference-instrumentation-llama-index/README.rst) | OpenInference Instrumentation for LlamaIndex. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-llama-index.svg)](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) | +| [`openinference-instrumentation-dspy`](./python/instrumentation/openinference-instrumentation-dspy/README.rst) | OpenInference Instrumentation for DSPy. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-dspy.svg)](https://pypi.python.org/pypi/openinference-instrumentation-dspy) | +| [`openinference-instrumentation-bedrock`](./python/instrumentation/openinference-instrumentation-bedrock/README.rst) | OpenInference Instrumentation for AWS Bedrock. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-bedrock.svg)](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) | +| [`openinference-instrumentation-langchain`](./python/instrumentation/openinference-instrumentation-langchain/README.rst) | OpenInference Instrumentation for LangChain. | [![PyPI Version](https://img.shields.io/pypi/v/openinference-instrumentation-langchain.svg)](https://pypi.python.org/pypi/openinference-instrumentation-langchain) | ## JavaScript diff --git a/python/instrumentation/openinference-instrumentation-langchain/LICENSE b/python/instrumentation/openinference-instrumentation-langchain/LICENSE new file mode 100644 index 000000000..0223315cc --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + +TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + +1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + +Copyright The OpenTelemetry Authors + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. diff --git a/python/instrumentation/openinference-instrumentation-langchain/README.rst b/python/instrumentation/openinference-instrumentation-langchain/README.rst new file mode 100644 index 000000000..9c59b747e --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/README.rst @@ -0,0 +1,14 @@ +OpenInference LangChain Instrumentation +============================================= + +|pypi| + +.. |pypi| image:: https://badge.fury.io/py/openinference-instrumentation-langchain.svg + :target: https://pypi.org/project/openinference-instrumentation-langchain/ + +Installation +------------ + +:: + + pip install openinference-instrumentation-langchain diff --git a/python/instrumentation/openinference-instrumentation-langchain/examples/openai_chat_stream.py b/python/instrumentation/openinference-instrumentation-langchain/examples/openai_chat_stream.py new file mode 100644 index 000000000..9442346b0 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/examples/openai_chat_stream.py @@ -0,0 +1,22 @@ +from langchain_openai import ChatOpenAI +from openinference.instrumentation.langchain import LangChainInstrumentor +from opentelemetry import trace as trace_api +from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter +from opentelemetry.sdk import trace as trace_sdk +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace.export import ConsoleSpanExporter, SimpleSpanProcessor + +resource = Resource(attributes={}) +tracer_provider = trace_sdk.TracerProvider(resource=resource) +trace_api.set_tracer_provider(tracer_provider=tracer_provider) +span_otlp_exporter = OTLPSpanExporter(endpoint="http://127.0.0.1:6006/v1/traces") +tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter=span_otlp_exporter)) +span_console_exporter = ConsoleSpanExporter() +tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter=span_console_exporter)) + +LangChainInstrumentor().instrument() + + +if __name__ == "__main__": + for chunk in ChatOpenAI(model_name="gpt-3.5-turbo").stream("Write a haiku."): + print(chunk.content, end="", flush=True) diff --git a/python/instrumentation/openinference-instrumentation-langchain/examples/requirements.txt b/python/instrumentation/openinference-instrumentation-langchain/examples/requirements.txt new file mode 100644 index 000000000..ac433c014 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/examples/requirements.txt @@ -0,0 +1,4 @@ +langchain_openai +opentelemetry-sdk +opentelemetry-exporter-otlp +openinference-instrumentation-langchain diff --git a/python/instrumentation/openinference-instrumentation-langchain/pyproject.toml b/python/instrumentation/openinference-instrumentation-langchain/pyproject.toml new file mode 100644 index 000000000..b42086e43 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/pyproject.toml @@ -0,0 +1,63 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "openinference-instrumentation-langchain" +dynamic = ["version"] +description = "OpenInference LangChain Instrumentation" +readme = "README.rst" +license = "Apache-2.0" +requires-python = ">=3.8, <3.12" +authors = [ + { name = "OpenInference Authors", email = "oss@arize.com" }, +] +classifiers = [ + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Programming Language :: Python", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", +] +dependencies = [ + "opentelemetry-api", + "opentelemetry-instrumentation", + "opentelemetry-semantic-conventions", + "openinference-semantic-conventions", +] + +[project.optional-dependencies] +instruments = [ + "langchain_core >= 0.1.0", +] +test = [ + "langchain_core == 0.1.8", + "langchain == 0.1.0", + "langchain_openai == 0.0.2", + "langchain-community == 0.0.10", + "opentelemetry-sdk", + "openinference-instrumentation-openai", + "respx", +] +type-check = [ + "langchain_core == 0.1.0", +] + +[project.urls] +Homepage = "https://github.com/Arize-ai/openinference/tree/main/python/instrumentation/openinference-instrumentation-langchain" + +[tool.hatch.version] +path = "src/openinference/instrumentation/langchain/version.py" + +[tool.hatch.build.targets.sdist] +include = [ + "/src", + "/tests", +] + +[tool.hatch.build.targets.wheel] +packages = ["src/openinference"] diff --git a/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/__init__.py b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/__init__.py new file mode 100644 index 000000000..1ea8d72f8 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/__init__.py @@ -0,0 +1,61 @@ +import logging +from typing import TYPE_CHECKING, Any, Callable, Collection + +from openinference.instrumentation.langchain._tracer import OpenInferenceTracer +from openinference.instrumentation.langchain.package import _instruments +from openinference.instrumentation.langchain.version import __version__ +from opentelemetry import trace as trace_api +from opentelemetry.instrumentation.instrumentor import BaseInstrumentor # type: ignore +from wrapt import wrap_function_wrapper + +if TYPE_CHECKING: + from langchain_core.callbacks import BaseCallbackManager + +logger = logging.getLogger(__name__) +logger.addHandler(logging.NullHandler()) + + +class LangChainInstrumentor(BaseInstrumentor): # type: ignore + """ + An instrumentor for LangChain + """ + + def instrumentation_dependencies(self) -> Collection[str]: + return _instruments + + def _instrument(self, **kwargs: Any) -> None: + if not (tracer_provider := kwargs.get("tracer_provider")): + tracer_provider = trace_api.get_tracer_provider() + tracer = trace_api.get_tracer(__name__, __version__, tracer_provider) + wrap_function_wrapper( + module="langchain_core.callbacks", + name="BaseCallbackManager.__init__", + wrapper=_BaseCallbackManagerInit(tracer=tracer), + ) + + def _uninstrument(self, **kwargs: Any) -> None: + pass + + +class _BaseCallbackManagerInit: + __slots__ = ("_tracer",) + + def __init__(self, tracer: trace_api.Tracer): + self._tracer = tracer + + def __call__( + self, + wrapped: Callable[..., None], + instance: "BaseCallbackManager", + args: Any, + kwargs: Any, + ) -> None: + wrapped(*args, **kwargs) + for handler in instance.inheritable_handlers: + # Handlers may be copied when new managers are created, so we + # don't want to keep adding. E.g. see the following location. + # https://github.com/langchain-ai/langchain/blob/5c2538b9f7fb64afed2a918b621d9d8681c7ae32/libs/core/langchain_core/callbacks/manager.py#L1876 # noqa: E501 + if isinstance(handler, OpenInferenceTracer): + break + else: + instance.add_handler(OpenInferenceTracer(tracer=self._tracer), True) diff --git a/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/_tracer.py b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/_tracer.py new file mode 100644 index 000000000..0a75a314b --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/_tracer.py @@ -0,0 +1,524 @@ +import json +import logging +from copy import deepcopy +from datetime import datetime +from enum import Enum +from itertools import chain +from typing import ( + Any, + Callable, + Dict, + Iterable, + Iterator, + List, + Mapping, + NamedTuple, + Optional, + Sequence, + Tuple, +) +from uuid import UUID + +from langchain_core.tracers.base import BaseTracer +from langchain_core.tracers.schemas import Run +from openinference.semconv.trace import ( + DocumentAttributes, + EmbeddingAttributes, + MessageAttributes, + OpenInferenceMimeTypeValues, + OpenInferenceSpanKindValues, + RerankerAttributes, + SpanAttributes, + ToolCallAttributes, +) +from opentelemetry import context as context_api +from opentelemetry import trace as trace_api +from opentelemetry.semconv.trace import SpanAttributes as OTELSpanAttributes +from opentelemetry.util.types import AttributeValue + +logger = logging.getLogger(__name__) +logger.addHandler(logging.NullHandler()) + + +class _Run(NamedTuple): + span: trace_api.Span + token: object # token for OTEL context API + + +class OpenInferenceTracer(BaseTracer): + __slots__ = ("_tracer", "_runs") + + def __init__(self, tracer: trace_api.Tracer, *args: Any, **kwargs: Any) -> None: + super().__init__(*args, **kwargs) + self._tracer = tracer + self._runs: Dict[UUID, _Run] = {} + # run_inline=True so the handler is not run in a thread. E.g. see the following location. + # https://github.com/langchain-ai/langchain/blob/5c2538b9f7fb64afed2a918b621d9d8681c7ae32/libs/core/langchain_core/callbacks/manager.py#L321 # noqa: E501 + self.run_inline = True + + def _start_trace(self, run: Run) -> None: + super()._start_trace(run) + span = self._tracer.start_span(run.name) + token = context_api.attach(trace_api.set_span_in_context(span)) + self._runs[run.id] = _Run(span=span, token=token) + + def _end_trace(self, run: Run) -> None: + if event_data := self._runs.pop(run.id, None): + # FIXME: find out why sometimes token fails to detach, e.g. when it's async + context_api.detach(event_data.token) + span = event_data.span + try: + _update_span(span, run) + except Exception: + logger.exception("Failed to update span with run data.") + span.end() + super()._end_trace(run) + + def _persist_run(self, run: Run) -> None: + pass + + def on_llm_error(self, error: BaseException, *args: Any, run_id: UUID, **kwargs: Any) -> Run: + if event_data := self._runs.get(run_id): + _record_exception(event_data.span, error) + return super().on_llm_error(error, *args, run_id=run_id, **kwargs) + + def on_chain_error(self, error: BaseException, *args: Any, run_id: UUID, **kwargs: Any) -> Run: + if event_data := self._runs.get(run_id): + _record_exception(event_data.span, error) + return super().on_chain_error(error, *args, run_id=run_id, **kwargs) + + def on_retriever_error( + self, error: BaseException, *args: Any, run_id: UUID, **kwargs: Any + ) -> Run: + if event_data := self._runs.get(run_id): + _record_exception(event_data.span, error) + return super().on_retriever_error(error, *args, run_id=run_id, **kwargs) + + def on_tool_error(self, error: BaseException, *args: Any, run_id: UUID, **kwargs: Any) -> Run: + if event_data := self._runs.get(run_id): + _record_exception(event_data.span, error) + return super().on_tool_error(error, *args, run_id=run_id, **kwargs) + + +def _record_exception(span: trace_api.Span, error: BaseException) -> None: + if isinstance(error, Exception): + span.record_exception(error) + else: + span.add_event( + name="exception", + attributes={ + OTELSpanAttributes.EXCEPTION_MESSAGE: str(error), + OTELSpanAttributes.EXCEPTION_TYPE: error.__class__.__name__, + }, + ) + + +def _update_span(span: trace_api.Span, run: Run) -> None: + if run.error is None: + span.set_status(trace_api.StatusCode.OK) + else: + span.set_status(trace_api.Status(trace_api.StatusCode.ERROR, run.error)) + span_kind = ( + OpenInferenceSpanKindValues.AGENT + if "agent" in run.name.lower() + else _langchain_run_type_to_span_kind(run.run_type) + ) + span.set_attribute(OPENINFERENCE_SPAN_KIND, span_kind.value) + span.set_attributes( + dict( + _flatten( + chain( + _as_input(_convert_io(run.inputs)), + _as_output(_convert_io(run.outputs)), + _prompts(run.inputs), + _input_messages(run.inputs), + _output_messages(run.outputs), + _prompt_template(run.serialized), + _invocation_parameters(run), + _model_name(run.extra), + _token_counts(run.outputs), + _function_calls(run.outputs), + _tools(run), + _retrieval_documents(run), + ) + ) + ) + ) + + +def _langchain_run_type_to_span_kind(run_type: str) -> OpenInferenceSpanKindValues: + try: + return OpenInferenceSpanKindValues(run_type.upper()) + except ValueError: + return OpenInferenceSpanKindValues.UNKNOWN + + +def _serialize_json(obj: Any) -> str: + if isinstance(obj, datetime): + return obj.isoformat() + return str(obj) + + +def stop_on_exception( + wrapped: Callable[..., Iterator[Tuple[str, Any]]], +) -> Callable[..., Iterator[Tuple[str, Any]]]: + def wrapper(*args: Any, **kwargs: Any) -> Iterator[Tuple[str, Any]]: + try: + yield from wrapped(*args, **kwargs) + except Exception: + logger.exception("Failed to get attribute.") + + return wrapper + + +@stop_on_exception +def _flatten(key_values: Iterable[Tuple[str, Any]]) -> Iterator[Tuple[str, AttributeValue]]: + for key, value in key_values: + if value is None: + continue + if isinstance(value, Mapping): + for sub_key, sub_value in _flatten(value.items()): + yield f"{key}.{sub_key}", sub_value + elif isinstance(value, List) and any(isinstance(item, Mapping) for item in value): + for index, sub_mapping in enumerate(value): + for sub_key, sub_value in _flatten(sub_mapping.items()): + yield f"{key}.{index}.{sub_key}", sub_value + else: + if isinstance(value, Enum): + value = value.value + yield key, value + + +@stop_on_exception +def _as_input(values: Iterable[str]) -> Iterator[Tuple[str, str]]: + return zip((INPUT_VALUE, INPUT_MIME_TYPE), values) + + +@stop_on_exception +def _as_output(values: Iterable[str]) -> Iterator[Tuple[str, str]]: + return zip((OUTPUT_VALUE, OUTPUT_MIME_TYPE), values) + + +def _convert_io(obj: Optional[Mapping[str, Any]]) -> Iterator[str]: + if not obj: + return + assert isinstance(obj, dict), f"expected dict, found {type(obj)}" + if len(obj) == 1 and isinstance(value := next(iter(obj.values())), str): + yield value + else: + yield json.dumps(obj, default=_serialize_json) + yield OpenInferenceMimeTypeValues.JSON.value + + +@stop_on_exception +def _prompts(inputs: Optional[Mapping[str, Any]]) -> Iterator[Tuple[str, List[str]]]: + """Yields prompts if present.""" + if not inputs: + return + assert hasattr(inputs, "get"), f"expected Mapping, found {type(inputs)}" + if prompts := inputs.get("prompts"): + yield LLM_PROMPTS, prompts + + +@stop_on_exception +def _input_messages( + inputs: Optional[Mapping[str, Any]], +) -> Iterator[Tuple[str, List[Dict[str, Any]]]]: + """Yields chat messages if present.""" + if not inputs: + return + assert hasattr(inputs, "get"), f"expected Mapping, found {type(inputs)}" + # There may be more than one set of messages. We'll use just the first set. + if not (multiple_messages := inputs.get("messages")): + return + assert isinstance( + multiple_messages, Iterable + ), f"expected Iterable, found {type(multiple_messages)}" + # This will only get the first set of messages. + if not (first_messages := next(iter(multiple_messages), None)): + return + assert isinstance(first_messages, Iterable), f"expected Iterable, found {type(first_messages)}" + parsed_messages = [] + for message_data in first_messages: + assert hasattr(message_data, "get"), f"expected Mapping, found {type(message_data)}" + parsed_messages.append(dict(_parse_message_data(message_data))) + if parsed_messages: + yield LLM_INPUT_MESSAGES, parsed_messages + + +@stop_on_exception +def _output_messages( + outputs: Optional[Mapping[str, Any]], +) -> Iterator[Tuple[str, List[Dict[str, Any]]]]: + """Yields chat messages if present.""" + if not outputs: + return + assert hasattr(outputs, "get"), f"expected Mapping, found {type(outputs)}" + # There may be more than one set of generations. We'll use just the first set. + if not (multiple_generations := outputs.get("generations")): + return + assert isinstance( + multiple_generations, Iterable + ), f"expected Iterable, found {type(multiple_generations)}" + # This will only get the first set of generations. + if not (first_generations := next(iter(multiple_generations), None)): + return + assert isinstance( + first_generations, Iterable + ), f"expected Iterable, found {type(first_generations)}" + parsed_messages = [] + for generation in first_generations: + assert hasattr(generation, "get"), f"expected Mapping, found {type(generation)}" + if message_data := generation.get("message"): + assert hasattr(message_data, "get"), f"expected Mapping, found {type(message_data)}" + parsed_messages.append(dict(_parse_message_data(message_data))) + if parsed_messages: + yield LLM_OUTPUT_MESSAGES, parsed_messages + + +@stop_on_exception +def _parse_message_data(message_data: Optional[Mapping[str, Any]]) -> Iterator[Tuple[str, Any]]: + """Parses message data to grab message role, content, etc.""" + if not message_data: + return + assert hasattr(message_data, "get"), f"expected Mapping, found {type(message_data)}" + id_ = message_data.get("id") + assert isinstance(id_, List), f"expected list, found {type(id_)}" + message_class_name = id_[-1] + if message_class_name.startswith("HumanMessage"): + role = "user" + elif message_class_name.startswith("AIMessage"): + role = "assistant" + elif message_class_name.startswith("SystemMessage"): + role = "system" + elif message_class_name.startswith("FunctionMessage"): + role = "function" + elif message_class_name.startswith("ChatMessage"): + role = message_data["kwargs"]["role"] + else: + raise ValueError(f"Cannot parse message of type: {message_class_name}") + yield MESSAGE_ROLE, role + if kwargs := message_data.get("kwargs"): + assert hasattr(kwargs, "get"), f"expected Mapping, found {type(kwargs)}" + if content := kwargs.get("content"): + assert isinstance(content, str), f"expected str, found {type(content)}" + yield MESSAGE_CONTENT, content + if additional_kwargs := kwargs.get("additional_kwargs"): + assert hasattr( + additional_kwargs, "get" + ), f"expected Mapping, found {type(additional_kwargs)}" + if function_call := additional_kwargs.get("function_call"): + assert hasattr( + function_call, "get" + ), f"expected Mapping, found {type(function_call)}" + if name := function_call.get("name"): + assert isinstance(name, str), f"expected str, found {type(name)}" + yield MESSAGE_FUNCTION_CALL_NAME, name + if arguments := function_call.get("arguments"): + assert isinstance(arguments, str), f"expected str, found {type(arguments)}" + yield MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON, arguments + if tool_calls := additional_kwargs.get("tool_calls"): + assert isinstance( + tool_calls, Iterable + ), f"expected Iterable, found {type(tool_calls)}" + message_tool_calls = [] + for tool_call in tool_calls: + if message_tool_call := dict(_get_tool_call(tool_call)): + message_tool_calls.append(message_tool_call) + if message_tool_calls: + yield MESSAGE_TOOL_CALLS, message_tool_calls + + +@stop_on_exception +def _get_tool_call(tool_call: Optional[Mapping[str, Any]]) -> Iterator[Tuple[str, Any]]: + if not tool_call: + return + assert hasattr(tool_call, "get"), f"expected Mapping, found {type(tool_call)}" + if function := tool_call.get("function"): + assert hasattr(function, "get"), f"expected Mapping, found {type(function)}" + if name := function.get("name"): + assert isinstance(name, str), f"expected str, found {type(name)}" + yield TOOL_CALL_FUNCTION_NAME, name + if arguments := function.get("arguments"): + assert isinstance(arguments, str), f"expected str, found {type(arguments)}" + yield TOOL_CALL_FUNCTION_ARGUMENTS_JSON, arguments + + +@stop_on_exception +def _prompt_template(serialized: Optional[Mapping[str, Any]]) -> Iterator[Tuple[str, Any]]: + """ + A best-effort attempt to locate the PromptTemplate object among the + keyword arguments of a serialized object, e.g. an LLMChain object. + """ + if not serialized: + return + assert hasattr(serialized, "get"), f"expected Mapping, found {type(serialized)}" + if not (kwargs := serialized.get("kwargs")): + return + assert isinstance(kwargs, dict), f"expected dict, found {type(kwargs)}" + for obj in kwargs.values(): + if not hasattr(obj, "get") or (id_ := obj.get("id")): + continue + # The `id` field of the object is a list indicating the path to the + # object's class in the LangChain package, e.g. `PromptTemplate` in + # the `langchain.prompts.prompt` module is represented as + # ["langchain", "prompts", "prompt", "PromptTemplate"] + assert isinstance(id_, Sequence), f"expected list, found {type(id_)}" + if id_[-1].endswith("PromptTemplate"): + if not (kwargs := obj.get("kwargs")): + continue + assert hasattr(kwargs, "get"), f"expected Mapping, found {type(kwargs)}" + if not (template := kwargs.get("template", "")): + continue + yield LLM_PROMPT_TEMPLATE, template + if input_variables := kwargs.get("input_variables"): + assert isinstance( + input_variables, list + ), f"expected list, found {type(input_variables)}" + yield LLM_PROMPT_TEMPLATE_VARIABLES, input_variables + break + + +@stop_on_exception +def _invocation_parameters(run: Run) -> Iterator[Tuple[str, str]]: + """Yields invocation parameters if present.""" + if run.run_type.lower() != "llm": + return + if not (extra := run.extra): + return + assert hasattr(extra, "get"), f"expected Mapping, found {type(extra)}" + if invocation_parameters := extra.get("invocation_params"): + assert isinstance( + invocation_parameters, Mapping + ), f"expected Mapping, found {type(invocation_parameters)}" + yield LLM_INVOCATION_PARAMETERS, json.dumps(invocation_parameters) + + +@stop_on_exception +def _model_name(extra: Optional[Mapping[str, Any]]) -> Iterator[Tuple[str, str]]: + """Yields model name if present.""" + if not extra: + return + assert hasattr(extra, "get"), f"expected Mapping, found {type(extra)}" + if not (invocation_params := extra.get("invocation_params")): + return + for key in ["model_name", "model"]: + if name := invocation_params.get(key): + yield LLM_MODEL_NAME, name + return + + +@stop_on_exception +def _token_counts(outputs: Optional[Mapping[str, Any]]) -> Iterator[Tuple[str, int]]: + """Yields token count information if present.""" + if not outputs: + return + assert hasattr(outputs, "get"), f"expected Mapping, found {type(outputs)}" + if not (llm_output := outputs.get("llm_output")): + return + assert hasattr(llm_output, "get"), f"expected Mapping, found {type(llm_output)}" + if not (token_usage := llm_output.get("token_usage")): + return + assert hasattr(token_usage, "get"), f"expected Mapping, found {type(token_usage)}" + for attribute_name, key in [ + (LLM_TOKEN_COUNT_PROMPT, "prompt_tokens"), + (LLM_TOKEN_COUNT_COMPLETION, "completion_tokens"), + (LLM_TOKEN_COUNT_TOTAL, "total_tokens"), + ]: + if (token_count := token_usage.get(key)) is not None: + yield attribute_name, token_count + + +@stop_on_exception +def _function_calls(outputs: Optional[Mapping[str, Any]]) -> Iterator[Tuple[str, str]]: + """Yields function call information if present.""" + if not outputs: + return + assert hasattr(outputs, "get"), f"expected Mapping, found {type(outputs)}" + try: + function_call_data = deepcopy( + outputs["generations"][0][0]["message"]["kwargs"]["additional_kwargs"]["function_call"] + ) + function_call_data["arguments"] = json.loads(function_call_data["arguments"]) + yield LLM_FUNCTION_CALL, json.dumps(function_call_data) + except Exception: + pass + + +@stop_on_exception +def _tools(run: Run) -> Iterator[Tuple[str, str]]: + """Yields tool attributes if present.""" + if run.run_type.lower() != "tool": + return + if not (serialized := run.serialized): + return + assert hasattr(serialized, "get"), f"expected Mapping, found {type(serialized)}" + if name := serialized.get("name"): + yield TOOL_NAME, name + if description := serialized.get("description"): + yield TOOL_DESCRIPTION, description + + +@stop_on_exception +def _retrieval_documents(run: Run) -> Iterator[Tuple[str, List[Mapping[str, Any]]]]: + if run.run_type.lower() != "retriever": + return + if not (outputs := run.outputs): + return + assert hasattr(outputs, "get"), f"expected Mapping, found {type(outputs)}" + documents = outputs.get("documents") + assert isinstance(documents, Iterable), f"expected Iterable, found {type(documents)}" + yield RETRIEVAL_DOCUMENTS, [dict(_as_document(document)) for document in documents] + + +@stop_on_exception +def _as_document(document: Any) -> Iterator[Tuple[str, Any]]: + if page_content := getattr(document, "page_content", None): + assert isinstance(page_content, str), f"expected str, found {type(page_content)}" + yield DOCUMENT_CONTENT, page_content + if metadata := getattr(document, "metadata", None): + assert isinstance(metadata, Mapping), f"expected Mapping, found {type(metadata)}" + yield DOCUMENT_METADATA, metadata + + +DOCUMENT_CONTENT = DocumentAttributes.DOCUMENT_CONTENT +DOCUMENT_ID = DocumentAttributes.DOCUMENT_ID +DOCUMENT_METADATA = DocumentAttributes.DOCUMENT_METADATA +DOCUMENT_SCORE = DocumentAttributes.DOCUMENT_SCORE +EMBEDDING_EMBEDDINGS = SpanAttributes.EMBEDDING_EMBEDDINGS +EMBEDDING_MODEL_NAME = SpanAttributes.EMBEDDING_MODEL_NAME +EMBEDDING_TEXT = EmbeddingAttributes.EMBEDDING_TEXT +EMBEDDING_VECTOR = EmbeddingAttributes.EMBEDDING_VECTOR +INPUT_MIME_TYPE = SpanAttributes.INPUT_MIME_TYPE +INPUT_VALUE = SpanAttributes.INPUT_VALUE +LLM_FUNCTION_CALL = SpanAttributes.LLM_FUNCTION_CALL +LLM_INPUT_MESSAGES = SpanAttributes.LLM_INPUT_MESSAGES +LLM_INVOCATION_PARAMETERS = SpanAttributes.LLM_INVOCATION_PARAMETERS +LLM_MODEL_NAME = SpanAttributes.LLM_MODEL_NAME +LLM_OUTPUT_MESSAGES = SpanAttributes.LLM_OUTPUT_MESSAGES +LLM_PROMPTS = SpanAttributes.LLM_PROMPTS +LLM_PROMPT_TEMPLATE = SpanAttributes.LLM_PROMPT_TEMPLATE +LLM_PROMPT_TEMPLATE_VARIABLES = SpanAttributes.LLM_PROMPT_TEMPLATE_VARIABLES +LLM_TOKEN_COUNT_COMPLETION = SpanAttributes.LLM_TOKEN_COUNT_COMPLETION +LLM_TOKEN_COUNT_PROMPT = SpanAttributes.LLM_TOKEN_COUNT_PROMPT +LLM_TOKEN_COUNT_TOTAL = SpanAttributes.LLM_TOKEN_COUNT_TOTAL +MESSAGE_CONTENT = MessageAttributes.MESSAGE_CONTENT +MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON = MessageAttributes.MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON +MESSAGE_FUNCTION_CALL_NAME = MessageAttributes.MESSAGE_FUNCTION_CALL_NAME +MESSAGE_NAME = MessageAttributes.MESSAGE_NAME +MESSAGE_ROLE = MessageAttributes.MESSAGE_ROLE +MESSAGE_TOOL_CALLS = MessageAttributes.MESSAGE_TOOL_CALLS +OPENINFERENCE_SPAN_KIND = SpanAttributes.OPENINFERENCE_SPAN_KIND +OUTPUT_MIME_TYPE = SpanAttributes.OUTPUT_MIME_TYPE +OUTPUT_VALUE = SpanAttributes.OUTPUT_VALUE +RERANKER_INPUT_DOCUMENTS = RerankerAttributes.RERANKER_INPUT_DOCUMENTS +RERANKER_MODEL_NAME = RerankerAttributes.RERANKER_MODEL_NAME +RERANKER_OUTPUT_DOCUMENTS = RerankerAttributes.RERANKER_OUTPUT_DOCUMENTS +RERANKER_QUERY = RerankerAttributes.RERANKER_QUERY +RERANKER_TOP_K = RerankerAttributes.RERANKER_TOP_K +RETRIEVAL_DOCUMENTS = SpanAttributes.RETRIEVAL_DOCUMENTS +TOOL_CALL_FUNCTION_ARGUMENTS_JSON = ToolCallAttributes.TOOL_CALL_FUNCTION_ARGUMENTS_JSON +TOOL_CALL_FUNCTION_NAME = ToolCallAttributes.TOOL_CALL_FUNCTION_NAME +TOOL_DESCRIPTION = SpanAttributes.TOOL_DESCRIPTION +TOOL_NAME = SpanAttributes.TOOL_NAME +TOOL_PARAMETERS = SpanAttributes.TOOL_PARAMETERS diff --git a/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/package.py b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/package.py new file mode 100644 index 000000000..e2bf7cec0 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/package.py @@ -0,0 +1,2 @@ +_instruments = ("langchain_core >= 0.1.0",) +_supports_metrics = False diff --git a/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/py.typed b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/py.typed new file mode 100644 index 000000000..e69de29bb diff --git a/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py new file mode 100644 index 000000000..6c8e6b979 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py @@ -0,0 +1 @@ +__version__ = "0.0.0" diff --git a/python/instrumentation/openinference-instrumentation-langchain/tests/openinference/instrumentation/langchain/test_instrumentor.py b/python/instrumentation/openinference-instrumentation-langchain/tests/openinference/instrumentation/langchain/test_instrumentor.py new file mode 100644 index 000000000..c21e11c7f --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/tests/openinference/instrumentation/langchain/test_instrumentor.py @@ -0,0 +1,353 @@ +import asyncio +import logging +import random +from contextlib import suppress +from itertools import count +from typing import Any, AsyncIterator, Dict, Generator, Iterable, Iterator, List, Tuple + +import numpy as np +import openai +import pytest +from httpx import AsyncByteStream, Response, SyncByteStream +from langchain.chains import RetrievalQA +from langchain_community.embeddings import FakeEmbeddings +from langchain_community.retrievers import KNNRetriever +from langchain_openai import ChatOpenAI +from openinference.instrumentation.langchain import LangChainInstrumentor +from openinference.instrumentation.openai import OpenAIInstrumentor +from openinference.semconv.trace import ( + DocumentAttributes, + EmbeddingAttributes, + MessageAttributes, + OpenInferenceMimeTypeValues, + OpenInferenceSpanKindValues, + SpanAttributes, + ToolCallAttributes, +) +from opentelemetry import trace as trace_api +from opentelemetry.sdk import trace as trace_sdk +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace.export import SimpleSpanProcessor +from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter +from opentelemetry.semconv.trace import SpanAttributes as OTELSpanAttributes +from respx import MockRouter + +for name, logger in logging.root.manager.loggerDict.items(): + if name.startswith("openinference.") and isinstance(logger, logging.Logger): + logger.setLevel(logging.DEBUG) + logger.handlers.clear() + logger.addHandler(logging.StreamHandler()) + + +@pytest.mark.parametrize("is_async", [False, True]) +@pytest.mark.parametrize("is_stream", [False, True]) +@pytest.mark.parametrize("status_code", [200, 400]) +def test_callback_llm( + is_async: bool, + is_stream: bool, + status_code: int, + respx_mock: MockRouter, + in_memory_span_exporter: InMemorySpanExporter, + documents: List[str], + chat_completion_mock_stream: Tuple[List[bytes], List[Dict[str, Any]]], + model_name: str, + completion_usage: Dict[str, Any], +) -> None: + question = randstr() + output_messages: List[Dict[str, Any]] = ( + chat_completion_mock_stream[1] if is_stream else [{"role": randstr(), "content": randstr()}] + ) + url = "https://api.openai.com/v1/chat/completions" + respx_kwargs: Dict[str, Any] = { + **( + {"stream": MockByteStream(chat_completion_mock_stream[0])} + if is_stream + else { + "json": { + "choices": [ + {"index": i, "message": message, "finish_reason": "stop"} + for i, message in enumerate(output_messages) + ], + "model": model_name, + "usage": completion_usage, + } + } + ), + } + respx_mock.post(url).mock(return_value=Response(status_code=status_code, **respx_kwargs)) + chat_model = ChatOpenAI(model_name="gpt-3.5-turbo", streaming=is_stream) # type: ignore + retriever = KNNRetriever( + index=np.ones((len(documents), 2)), + texts=documents, + embeddings=FakeEmbeddings(size=2), + ) + rqa = RetrievalQA.from_chain_type(llm=chat_model, retriever=retriever) + with suppress(openai.BadRequestError): + if is_async: + asyncio.run(rqa.ainvoke({"query": question})) + else: + rqa.invoke({"query": question}) + + spans = in_memory_span_exporter.get_finished_spans() + spans_by_name = {span.name: span for span in spans} + + assert (rqa_span := spans_by_name.pop("RetrievalQA")) is not None + assert rqa_span.parent is None + rqa_attributes = dict(rqa_span.attributes or {}) + assert rqa_attributes.pop(OPENINFERENCE_SPAN_KIND, None) == CHAIN.value + assert rqa_attributes.pop(INPUT_VALUE, None) == question + if status_code == 200: + assert rqa_span.status.status_code == trace_api.StatusCode.OK + assert rqa_attributes.pop(OUTPUT_VALUE, None) == output_messages[0]["content"] + elif status_code == 400: + assert rqa_span.status.status_code == trace_api.StatusCode.ERROR + assert rqa_span.events[0].name == "exception" + assert (rqa_span.events[0].attributes or {}).get( + OTELSpanAttributes.EXCEPTION_TYPE + ) == "BadRequestError" + assert rqa_attributes == {} + + assert (sd_span := spans_by_name.pop("StuffDocumentsChain")) is not None + assert sd_span.parent is not None + assert sd_span.parent.span_id == rqa_span.context.span_id + assert sd_span.context.trace_id == rqa_span.context.trace_id + sd_attributes = dict(sd_span.attributes or {}) + assert sd_attributes.pop(OPENINFERENCE_SPAN_KIND, None) == CHAIN.value + assert sd_attributes.pop(INPUT_VALUE, None) is not None + assert sd_attributes.pop(INPUT_MIME_TYPE, None) == JSON.value + if status_code == 200: + assert sd_span.status.status_code == trace_api.StatusCode.OK + assert sd_attributes.pop(OUTPUT_VALUE, None) == output_messages[0]["content"] + elif status_code == 400: + assert sd_span.status.status_code == trace_api.StatusCode.ERROR + assert sd_span.events[0].name == "exception" + assert (sd_span.events[0].attributes or {}).get( + OTELSpanAttributes.EXCEPTION_TYPE + ) == "BadRequestError" + assert sd_attributes == {} + + assert (retriever_span := spans_by_name.pop("Retriever")) is not None + assert retriever_span.parent is not None + assert retriever_span.parent.span_id == rqa_span.context.span_id + assert retriever_span.context.trace_id == rqa_span.context.trace_id + retriever_attributes = dict(retriever_span.attributes or {}) + assert retriever_attributes.pop(OPENINFERENCE_SPAN_KIND, None) == RETRIEVER.value + assert retriever_attributes.pop(INPUT_VALUE, None) == question + assert retriever_attributes.pop(OUTPUT_VALUE, None) is not None + assert retriever_attributes.pop(OUTPUT_MIME_TYPE, None) == JSON.value + for i, text in enumerate(documents): + assert ( + retriever_attributes.pop(f"{RETRIEVAL_DOCUMENTS}.{i}.{DOCUMENT_CONTENT}", None) == text + ) + assert retriever_attributes == {} + + assert (llm_span := spans_by_name.pop("LLMChain", None)) is not None + assert llm_span.parent is not None + assert llm_span.parent.span_id == sd_span.context.span_id + assert llm_span.context.trace_id == sd_span.context.trace_id + llm_attributes = dict(llm_span.attributes or {}) + assert llm_attributes.pop(OPENINFERENCE_SPAN_KIND, None) == CHAIN.value + assert llm_attributes.pop(INPUT_VALUE, None) is not None + assert llm_attributes.pop(INPUT_MIME_TYPE, None) == JSON.value + if status_code == 200: + assert llm_attributes.pop(OUTPUT_VALUE, None) == output_messages[0]["content"] + elif status_code == 400: + assert llm_span.status.status_code == trace_api.StatusCode.ERROR + assert llm_span.events[0].name == "exception" + assert (llm_span.events[0].attributes or {}).get( + OTELSpanAttributes.EXCEPTION_TYPE + ) == "BadRequestError" + assert llm_attributes == {} + + assert (oai_span := spans_by_name.pop("ChatOpenAI", None)) is not None + assert oai_span.parent is not None + assert oai_span.parent.span_id == llm_span.context.span_id + assert oai_span.context.trace_id == llm_span.context.trace_id + oai_attributes = dict(oai_span.attributes or {}) + assert oai_attributes.pop(OPENINFERENCE_SPAN_KIND, None) == LLM.value + assert oai_attributes.pop(LLM_MODEL_NAME, None) is not None + assert oai_attributes.pop(LLM_INVOCATION_PARAMETERS, None) is not None + assert oai_attributes.pop(INPUT_VALUE, None) is not None + assert oai_attributes.pop(INPUT_MIME_TYPE, None) == JSON.value + assert oai_attributes.pop(LLM_PROMPTS, None) is not None + if status_code == 200: + assert oai_span.status.status_code == trace_api.StatusCode.OK + assert oai_attributes.pop(OUTPUT_VALUE, None) is not None + assert oai_attributes.pop(OUTPUT_MIME_TYPE, None) == JSON.value + assert ( + oai_attributes.pop(f"{LLM_OUTPUT_MESSAGES}.0.{MESSAGE_ROLE}", None) + == output_messages[0]["role"] + ) + assert ( + oai_attributes.pop(f"{LLM_OUTPUT_MESSAGES}.0.{MESSAGE_CONTENT}", None) + == output_messages[0]["content"] + ) + if not is_stream: + assert ( + oai_attributes.pop(LLM_TOKEN_COUNT_TOTAL, None) == completion_usage["total_tokens"] + ) + assert ( + oai_attributes.pop(LLM_TOKEN_COUNT_PROMPT, None) + == completion_usage["prompt_tokens"] + ) + assert ( + oai_attributes.pop(LLM_TOKEN_COUNT_COMPLETION, None) + == completion_usage["completion_tokens"] + ) + elif status_code == 400: + assert oai_span.status.status_code == trace_api.StatusCode.ERROR + assert oai_span.events[0].name == "exception" + assert (oai_span.events[0].attributes or {}).get( + OTELSpanAttributes.EXCEPTION_TYPE + ) == "BadRequestError" + assert oai_attributes == {} + + # The remaining span is from the openai instrumentor. + openai_span = spans_by_name.popitem()[1] + assert openai_span.parent is not None + if is_async: + # FIXME: it's unclear why the context fails to propagate. + assert openai_span.parent.span_id == llm_span.context.span_id + assert openai_span.context.trace_id == llm_span.context.trace_id + else: + assert openai_span.parent.span_id == oai_span.context.span_id + assert openai_span.context.trace_id == oai_span.context.trace_id + + assert spans_by_name == {} + + +@pytest.fixture +def documents() -> List[str]: + return [randstr(), randstr()] + + +@pytest.fixture +def chat_completion_mock_stream() -> Tuple[List[bytes], List[Dict[str, Any]]]: + return ( + [ + b'data: {"choices": [{"delta": {"role": "assistant"}, "index": 0}]}\n\n', + b'data: {"choices": [{"delta": {"content": "A"}, "index": 0}]}\n\n', + b'data: {"choices": [{"delta": {"content": "B"}, "index": 0}]}\n\n', + b'data: {"choices": [{"delta": {"content": "C"}, "index": 0}]}\n\n', + b"data: [DONE]\n", + ], + [{"role": "assistant", "content": "ABC"}], + ) + + +@pytest.fixture(scope="module") +def in_memory_span_exporter() -> InMemorySpanExporter: + return InMemorySpanExporter() + + +@pytest.fixture(scope="module") +def tracer_provider(in_memory_span_exporter: InMemorySpanExporter) -> trace_api.TracerProvider: + resource = Resource(attributes={}) + tracer_provider = trace_sdk.TracerProvider(resource=resource) + span_processor = SimpleSpanProcessor(span_exporter=in_memory_span_exporter) + tracer_provider.add_span_processor(span_processor=span_processor) + return tracer_provider + + +@pytest.fixture(autouse=True) +def instrument( + tracer_provider: trace_api.TracerProvider, + in_memory_span_exporter: InMemorySpanExporter, +) -> Generator[None, None, None]: + LangChainInstrumentor().instrument(tracer_provider=tracer_provider) + OpenAIInstrumentor().instrument(tracer_provider=tracer_provider) + yield + OpenAIInstrumentor().uninstrument() + LangChainInstrumentor().uninstrument() + in_memory_span_exporter.clear() + + +@pytest.fixture(autouse=True) +def openai_api_key(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setenv("OPENAI_API_KEY", "sk-") + + +@pytest.fixture(scope="module") +def seed() -> Iterator[int]: + """ + Use rolling seeds to help debugging, because the rolling pseudo-random values + allow conditional breakpoints to be hit precisely (and repeatably). + """ + return count() + + +@pytest.fixture(autouse=True) +def set_seed(seed: Iterator[int]) -> Iterator[None]: + random.seed(next(seed)) + yield + + +@pytest.fixture +def completion_usage() -> Dict[str, Any]: + prompt_tokens = random.randint(1, 1000) + completion_tokens = random.randint(1, 1000) + return { + "prompt_tokens": prompt_tokens, + "completion_tokens": completion_tokens, + "total_tokens": prompt_tokens + completion_tokens, + } + + +@pytest.fixture +def model_name() -> str: + return randstr() + + +def randstr() -> str: + return str(random.random()) + + +class MockByteStream(SyncByteStream, AsyncByteStream): + def __init__(self, byte_stream: Iterable[bytes]): + self._byte_stream = byte_stream + + def __iter__(self) -> Iterator[bytes]: + for byte_string in self._byte_stream: + yield byte_string + + async def __aiter__(self) -> AsyncIterator[bytes]: + for byte_string in self._byte_stream: + yield byte_string + + +DOCUMENT_CONTENT = DocumentAttributes.DOCUMENT_CONTENT +DOCUMENT_ID = DocumentAttributes.DOCUMENT_ID +DOCUMENT_METADATA = DocumentAttributes.DOCUMENT_METADATA +EMBEDDING_EMBEDDINGS = SpanAttributes.EMBEDDING_EMBEDDINGS +EMBEDDING_MODEL_NAME = SpanAttributes.EMBEDDING_MODEL_NAME +EMBEDDING_TEXT = EmbeddingAttributes.EMBEDDING_TEXT +EMBEDDING_VECTOR = EmbeddingAttributes.EMBEDDING_VECTOR +INPUT_MIME_TYPE = SpanAttributes.INPUT_MIME_TYPE +INPUT_VALUE = SpanAttributes.INPUT_VALUE +LLM_INPUT_MESSAGES = SpanAttributes.LLM_INPUT_MESSAGES +LLM_INVOCATION_PARAMETERS = SpanAttributes.LLM_INVOCATION_PARAMETERS +LLM_MODEL_NAME = SpanAttributes.LLM_MODEL_NAME +LLM_OUTPUT_MESSAGES = SpanAttributes.LLM_OUTPUT_MESSAGES +LLM_PROMPTS = SpanAttributes.LLM_PROMPTS +LLM_TOKEN_COUNT_COMPLETION = SpanAttributes.LLM_TOKEN_COUNT_COMPLETION +LLM_TOKEN_COUNT_PROMPT = SpanAttributes.LLM_TOKEN_COUNT_PROMPT +LLM_TOKEN_COUNT_TOTAL = SpanAttributes.LLM_TOKEN_COUNT_TOTAL +MESSAGE_CONTENT = MessageAttributes.MESSAGE_CONTENT +MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON = MessageAttributes.MESSAGE_FUNCTION_CALL_ARGUMENTS_JSON +MESSAGE_FUNCTION_CALL_NAME = MessageAttributes.MESSAGE_FUNCTION_CALL_NAME +MESSAGE_ROLE = MessageAttributes.MESSAGE_ROLE +MESSAGE_TOOL_CALLS = MessageAttributes.MESSAGE_TOOL_CALLS +OPENINFERENCE_SPAN_KIND = SpanAttributes.OPENINFERENCE_SPAN_KIND +OUTPUT_MIME_TYPE = SpanAttributes.OUTPUT_MIME_TYPE +OUTPUT_VALUE = SpanAttributes.OUTPUT_VALUE +RETRIEVAL_DOCUMENTS = SpanAttributes.RETRIEVAL_DOCUMENTS +TOOL_CALL_FUNCTION_ARGUMENTS_JSON = ToolCallAttributes.TOOL_CALL_FUNCTION_ARGUMENTS_JSON +TOOL_CALL_FUNCTION_NAME = ToolCallAttributes.TOOL_CALL_FUNCTION_NAME +LLM_PROMPT_TEMPLATE = SpanAttributes.LLM_PROMPT_TEMPLATE +LLM_PROMPT_TEMPLATE_VARIABLES = SpanAttributes.LLM_PROMPT_TEMPLATE_VARIABLES + +CHAIN = OpenInferenceSpanKindValues.CHAIN +LLM = OpenInferenceSpanKindValues.LLM +RETRIEVER = OpenInferenceSpanKindValues.RETRIEVER + +JSON = OpenInferenceMimeTypeValues.JSON diff --git a/python/tox.ini b/python/tox.ini index 7586c931e..9f26ad13d 100644 --- a/python/tox.ini +++ b/python/tox.ini @@ -7,6 +7,8 @@ envlist = py3{8,11}-ci-{openai,openai-latest} py3{8,11}-ci-{llama_index,llama_index-latest} py3{9,11}-ci-{dspy,dspy-latest} + py3{8,11}-ci-{langchain,langchain-latest} + py38-mypy-langchain_core [testenv] package = wheel @@ -19,6 +21,8 @@ changedir = openai: instrumentation/openinference-instrumentation-openai/ llama_index: instrumentation/openinference-instrumentation-llama-index/ dspy: instrumentation/openinference-instrumentation-dspy/ + langchain: instrumentation/openinference-instrumentation-langchain/ + langchain_core: instrumentation/openinference-instrumentation-langchain/src commands_pre = semconv: pip install {toxinidir}/openinference-semantic-conventions bedrock: pip install {toxinidir}/instrumentation/openinference-instrumentation-bedrock[test] @@ -29,6 +33,9 @@ commands_pre = llama_index-latest: pip install -U llama_index dspy: pip install {toxinidir}/instrumentation/openinference-instrumentation-dspy[test] dspy-latest: pip install -U dspy-ai + langchain: pip install {toxinidir}/instrumentation/openinference-instrumentation-langchain[test] + langchain-latest: pip install -U langchain langchain_core langchain_openai langchain_community + langchain_core: pip install {toxinidir}/instrumentation/openinference-instrumentation-langchain[type-check] commands = ruff: ruff format . --config {toxinidir}/ruff.toml ruff: ruff check . --fix --config {toxinidir}/ruff.toml diff --git a/release-please-config.json b/release-please-config.json index a46605695..383b03f11 100644 --- a/release-please-config.json +++ b/release-please-config.json @@ -25,6 +25,10 @@ "python/instrumentation/openinference-instrumentation-bedrock": { "package-name": "python-openinference-instrumentation-bedrock", "release-type": "python" + }, + "python/instrumentation/openinference-instrumentation-langchain": { + "package-name": "python-openinference-instrumentation-langchain", + "release-type": "python" } } } From cfce73c08061dff915c2617f8fc7efc0b0b2c5f2 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Fri, 26 Jan 2024 08:57:00 -0800 Subject: [PATCH 3/3] chore(main): release python-openinference-instrumentation-langchain 0.1.0 (#146) Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> --- .release-please-manifest.json | 2 +- .../openinference-instrumentation-langchain/CHANGELOG.md | 8 ++++++++ .../openinference/instrumentation/langchain/version.py | 2 +- 3 files changed, 10 insertions(+), 2 deletions(-) create mode 100644 python/instrumentation/openinference-instrumentation-langchain/CHANGELOG.md diff --git a/.release-please-manifest.json b/.release-please-manifest.json index 91f07b2e3..fcbc1fc44 100644 --- a/.release-please-manifest.json +++ b/.release-please-manifest.json @@ -1 +1 @@ -{"python/openinference-semantic-conventions":"0.1.2","python/instrumentation/openinference-instrumentation-openai":"0.1.0","python/instrumentation/openinference-instrumentation-llama-index":"0.1.0","python/instrumentation/openinference-instrumentation-dspy":"0.1.0"} +{"python/openinference-semantic-conventions":"0.1.2","python/instrumentation/openinference-instrumentation-openai":"0.1.0","python/instrumentation/openinference-instrumentation-llama-index":"0.1.0","python/instrumentation/openinference-instrumentation-dspy":"0.1.0","python/instrumentation/openinference-instrumentation-langchain":"0.1.0"} diff --git a/python/instrumentation/openinference-instrumentation-langchain/CHANGELOG.md b/python/instrumentation/openinference-instrumentation-langchain/CHANGELOG.md new file mode 100644 index 000000000..a71235a93 --- /dev/null +++ b/python/instrumentation/openinference-instrumentation-langchain/CHANGELOG.md @@ -0,0 +1,8 @@ +# Changelog + +## 0.1.0 (2024-01-26) + + +### Features + +* langchain instrumentor ([#138](https://github.com/Arize-ai/openinference/issues/138)) ([61094f6](https://github.com/Arize-ai/openinference/commit/61094f606dc0a6961fc566d8d45b27967a14c59c)) diff --git a/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py index 6c8e6b979..3dc1f76bc 100644 --- a/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py +++ b/python/instrumentation/openinference-instrumentation-langchain/src/openinference/instrumentation/langchain/version.py @@ -1 +1 @@ -__version__ = "0.0.0" +__version__ = "0.1.0"