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What does this PR do?

Adds auto-instrumentation to the serverless layer for LLM Observability. Now, in order to enable LLM Observability for auto-instrumented integrations (OpenAI, LangChain, Bedrock, and Anthropic), set DD_LLMOBS_ENABLED=1, along with:

DD_LLMOBS_ML_APP=<YOUR_ML_APP> DD_API_KEY=<YOUR_DATADOG_API_KEY> DD_SITE=<YOUR_DATADOG_SITE> 

LLM Observability documentation is available for full instrumentation instructions.

Motivation

Enable easy onboarding and auto-instrumentation experience with LLM Observability in a serverless environment.

Testing Guidelines

Built the layer and tested against a lambda handler. Verified that

  1. LLM traces were submitted per invocation of the function
  2. APM traces were still being sent as well

Types of Changes

  • Bug fix
  • New feature
  • Breaking change
  • Misc (docs, refactoring, dependency upgrade, etc.)

Check all that apply

  • This PR's description is comprehensive
  • This PR contains breaking changes that are documented in the description
  • This PR introduces new APIs or parameters that are documented and unlikely to change in the foreseeable future
  • This PR impacts documentation, and it has been updated (or a ticket has been logged)
  • This PR's changes are covered by the automated tests
  • This PR collects user input/sensitive content into Datadog
  • This PR passes the integration tests (ask a Datadog member to run the tests)
@sabrenner sabrenner changed the title [MLOB-1099] Auto-Instrument LLM Observability [MLOB-1009] Auto-Instrument LLM Observability Jul 1, 2024
@sabrenner sabrenner marked this pull request as ready for review July 1, 2024 15:29
@sabrenner sabrenner requested a review from a team as a code owner July 1, 2024 15:29
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@purple4reina purple4reina left a comment

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Move location of flush call

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lgtm!

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