Langchain.rb Datadog

Enables LLM observability with Datadog for Langchain.rb.

Install the gem and add to the application's Gemfile by executing:

$ bundle add langchainrb_datadog

If bundler is not being used to manage dependencies, install the gem by executing:

$ gem install langchainrb_datadog

Its function is automatic: it hooks into Langchain.rb methods to capture LLM calls and report them to the Datadog LLM Observability API.

Configure with the following environment variables or Ruby methods:

• DD_SITE (optional, default: datadoghq.com)

  Langchain::Datadog.site = 'datadoghq.com'

  The Datadog site to submit your LLM data.

• DD_API_KEY (required)

  Langchain::Datadog.api_key = '1a2b3c4d5e6f'

  Your Datadog API key.

• DD_LLMOBS_ENABLED (optional, default: 1)

  Langchain::Datadog.enabled = true

  Toggle to disable submitting data to LLM Observability.

• DD_LLMOBS_ML_APP (required)

  Langchain::Datadog.ml_app = 'langchainrb_datadog'

  The name of your LLM application, service, or project, under which all traces and spans are grouped. This helps distinguish between different applications or experiments. See Application naming guidelines for allowed characters and other constraints.

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and the created tag, and push the .gem file to rubygems.org.

Bug reports and pull requests are welcome on GitHub at https://github.com/GaggleAMP/langchainrb_datadog.

The gem is available as open source under the terms of the MIT License.