feat:Add H200141GB to DeployGPUs Enum and Update OpenAPI Specification

[HavenDV]

Summary by CodeRabbit

• New Features

  • Introduced a new GPU type: H200-141GB, expanding the available options for users.
  • Enhanced API specification to include the new GPU type for better integration.

• Bug Fixes

  • Updated string representation for the new GPU type to ensure accurate conversion and mapping.

[coderabbitai]

Walkthrough

The changes include the addition of a new enumeration value H200141GB to the DeployGPUs enum in the DeepInfra.Models.DeployGPUs.g.cs file. The ToValueString method has been updated to handle this new value, allowing for conversion between the enum and its string representation "H200-141GB". Additionally, the OpenAPI specification has been updated to include the new GPU type, expanding the available options for API users.

Changes

Files	Change Summary
src/libs/DeepInfra/Generated/DeepInfra.Models.DeployGPUs.g.cs, src/libs/DeepInfra/openapi.yaml	Added enumeration value H200141GB in DeployGPUs and H200-141GB in OpenAPI specification. Updated ToValueString method to handle both new enum and string representation.

Poem

In the meadow where GPUs play,
A new friend hops in, hooray!
H200-141GB joins the fun,
With strings and enums, now we run!
A leap of code, a joyful cheer,
For every change, a bunny's dear! 🐇✨

---

Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between cbea594 and 6d3b3ac.

Files selected for processing (2)

• src/libs/DeepInfra/Generated/DeepInfra.Models.DeployGPUs.g.cs (3 hunks)
• src/libs/DeepInfra/openapi.yaml (1 hunks)

Additional comments not posted (4)

src/libs/DeepInfra/Generated/DeepInfra.Models.DeployGPUs.g.cs (3)

19-22: LGTM!

The new enum value H200141GB follows the existing naming convention and includes XML documentation comments consistent with the other enum values. Adding a new enum value is a non-breaking change.

---

39-39: LGTM!

The ToValueString method is correctly updated to handle the new enum value H200141GB and return its string representation "H200-141GB". The method signature remains unchanged, making this a non-breaking change.

---

52-52: LGTM!

The ToEnum method is correctly updated to handle the string representation "H200-141GB" and return the corresponding enum value H200141GB. The method signature remains unchanged, making this a non-breaking change.

src/libs/DeepInfra/openapi.yaml (1)

2527-2527: LGTM! Verify the handling of the new H200-141GB value in the codebase.

The addition of the new enumeration value H200-141GB to the DeployGPUs enum is consistent with the existing naming convention and expands the available GPU types for deployment.

Please ensure that all code that uses the DeployGPUs enum is updated to handle the new H200-141GB value.

Run the following script to verify the handling of the new value:

Verification successful

---

Verification complete: The new H200-141GB value is properly handled in the codebase.

The H200-141GB value has been successfully added to the DeployGPUs enum in the OpenAPI specification and is correctly reflected in all generated code. This includes:

• Enum definition
• JSON converters for serialization and deserialization
• Extension methods for value conversion
• Usage in API client code and models

No manual code changes are required, as the code generation process has incorporated the new value consistently across the codebase.

Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify the handling of the new `H200-141GB` value in the codebase.

# Test: Search for the enum usage. Expect: Code that switches on or handles all enum values, including `H200-141GB`.
rg --type go -A 5 $'DeployGPUs'

Length of output: 179

---

Script:

#!/bin/bash
# Description: Search for DeployGPUs enum usage across various file types

# Find all relevant file types
echo "Searching for relevant files:"
fd -e js -e ts -e yaml -e yml

echo "\nSearching for DeployGPUs enum usage:"
rg -i "DeployGPUs" -A 5

echo "\nSearching for specific GPU types including the new H200-141GB:"
rg -i "H100-80GB|A100-80GB|A100-40GB|H200-141GB" -A 5

Length of output: 17823

---

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

• X
• Mastodon
• Reddit
• LinkedIn

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  -- I pushed a fix in commit <commit_id>, please review it.
  -- Generate unit testing code for this file.
  • Open a follow-up GitHub issue for this discussion.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  -- @coderabbitai generate unit testing code for this file.
  -- @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  -- @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
  -- @coderabbitai read src/utils.ts and generate unit testing code.
  -- @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
  -- @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai full review to do a full review from scratch and review all the files again.
• @coderabbitai summary to regenerate the summary of the PR.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
• @coderabbitai help to get help.

Other keywords and placeholders

• Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
• Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
• Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• Please see the configuration documentation for more information.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

• Visit our Documentation for detailed information on how to use CodeRabbit.
• Join our Discord Community to get help, request features, and share feedback.
• Follow us on X/Twitter for updates and announcements.