feat(instrumentation): make the openai instrumentation context aware

The idea is to simplify the use of the openai instrumentation, making it more like the one in Python where you instrument the lib once, and each call is automatically captured and logged without having to instrument the result.

This is made possible by the AsyncLocalStorage context we have added in the last version.

Old syntax

    const response = await openai.chat.completions.create({
      model: 'gpt-3.5-turbo',
      messages: []
    });

    await client.instrumentation.openai(response);

    const run = thread.run({ name: "Bla" }).send()

    const response2 = await openai.chat.completions.create({
      model: 'gpt-3.5-turbo',
      messages: []
    });

    await client.instrumentation.openai(response2, run);

New syntax

client.instrumentation.openai();

// Will be logged as a simple generation outside of threads/steps
const response = await openai.chat.completions.create({
  model: 'gpt-3.5-turbo',
  messages: []
});

client.thread({ name: "Bla" }).wrap(async () => {
  // Will be logged as a step inside the "Bla" thread
  return openai.chat.completions.create({
      model: 'gpt-3.5-turbo',
      messages: []
  });
})

Chainlit / literalai-typescript

feat(instrumentation): make the openai instrumentation context aware #42