Add support for OCI Generative AI Chat Completions #94
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR introduces a new OCIGenAIChatCompletionsClient to the llmperf framework, enabling benchmark tests using Oracle Cloud Infrastructure's (OCI) Generative AI chat completions endpoints.
The integration leverages the ChatOCIGenAI client from the langchain_community package to interface with OCI’s streaming chat API, supporting metrics collection such as:
The new client reads necessary configuration from environment variables including OCI_COMPARTMENT_ID, OCI_AUTH_TYPE, OCI_CONFIG_PROFILE, OCI_ENDPOINT, OCI_MODEL_ID, and OCI_PROVIDER.
This addition allows users to include OCI Generative AI in their LLM benchmark suites alongside other providers, improving coverage and flexibility in performance evaluations.