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Add XRay internal API endpoint

Mikołaj Wawrzyniak requested to merge mwaw/add_x_ray_endpoint into master

What does this MR do and why?

gitlab-org/modelops/applied-ml/code-suggestions/ai-assist#347 (closed)

It adds endpoint to internal API that is going to be used by https://gitlab.com/gitlab-org/code-creation/repository-x-ray scanner binary that is going to be executed as CI Job. A new endpoint will proxy requests to AI Gateway to provide LLM powered insights into codebase.

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Before After

How to set up and validate locally

  1. Make sure that AI Gateway is working on your local env
  2. Select Ci::Build from namespace with code suggestions add on purchased
  3. Update build state to running
  4. Set build token to any value eg: secret
project = Project.find 2
build = project.builds.first
build.set_token 'secret'
build.status = "running"
build.save

Use build id and token to make curl request to API endpoint

 curl -v -X POST -H "Content-Type: Application/json"  http://gdk.test:3000/api/v4/internal/jobs/1/x_ray/scan --data '{
  "token": "tajnyToken",
  "prompt_components": [
     {
       "type":"x_ray_package_file_prompt",
       "payload":{
         "prompt": "Human: Parse following content of {file_name}. Respond using only valid JSON with list of libraries available to use and their short description\n\n{file_name} content:\n\n```\n{content}\n```\n\n Assistant: {{\n\"libraries\":[{{\"name\": \"",
         "provider": "anthropic",
         "model": "claude-2.0"
       },
       "metadata": { "scannerVersion": "0.0.1" }
     }
  ]
 }'

Parameter has to be complicent with https://gitlab.com/gitlab-org/modelops/applied-ml/code-suggestions/ai-assist#xray-libraries, the only additional param to the one allowed in AI Gateway docs is token that is designed to pass CI_JOB_TOKEN from https://docs.gitlab.com/ee/ci/variables/predefined_variables.html

MR acceptance checklist

This checklist encourages us to confirm any changes have been analyzed to reduce risks in quality, performance, reliability, security, and maintainability.

Edited by Vitali Tatarintev

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