Add OpenAI instrumentation example

openai-instrumentation/.env.example

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+OPENAI_API_KEY=
+LITERAL_API_KEY=

openai-instrumentation/app.py

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+from openai import AsyncOpenAI
+
+from chainlit.playground.providers import ChatOpenAI
+import chainlit as cl
+
+client = AsyncOpenAI()
+
+# Instrument the OpenAI client
+cl.instrument_openai()
+
+settings = {
+ "model": "gpt-3.5-turbo",
+ "temperature": 0,
+ # ... more settings
+}
+
+async def call_llm(input):
+ response = await client.chat.completions.create(
+ messages=[
+ {
+ "content": "You are a helpful bot, you always reply in Spanish",
+ "role": "system"
+ },
+ {
+ "content": input,
+ "role": "user"
+ }
+ ],
+ **settings
+ )
+
+ return response.choices[0].message.content
+
+
+@cl.on_message
+async def on_message(message: cl.Message):
+ response = await call_llm(message.content)
+ await cl.Message(content=response).send()
+

openai-instrumentation/chainlit.md

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+# Welcome to Chainlit! 🚀🤖
+
+Hi there, Developer! 👋 We're excited to have you on board. Chainlit is a powerful tool designed to help you prototype, debug and share applications built on top of LLMs.
+
+## Useful Links 🔗
+
+- **Documentation:** Get started with our comprehensive [Chainlit Documentation](https://docs.chainlit.io) 📚
+- **Discord Community:** Join our friendly [Chainlit Discord](https://discord.gg/k73SQ3FyUh) to ask questions, share your projects, and connect with other developers! 💬
+
+We can't wait to see what you create with Chainlit! Happy coding! 💻😊
+
+## Welcome screen
+
+To modify the welcome screen, edit the `chainlit.md` file at the root of your project. If you do not want a welcome screen, just leave this file empty.