Add OVHcloud AI Endpoints provider

[eliasto]

Description

Hi team,
You will find in this PR the integration of OVHcloud AI Endpoints. We are the European cloud leader, and we are integrated in several solutions such as HuggingFace Inference Provider, Pydantic AI, LiteLLM, KiloCode, etc...

Our models catalog can be found here.

New Package?

Did I fill in the tool.llamahub section in the pyproject.toml and provide a detailed README.md for my new integration or package?

• Yes
• No

Version Bump?

Did I bump the version in the pyproject.toml file of the package I am updating? (Except for the llama-index-core package)

• Yes
• No

Type of Change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested?

Your pull-request will likely not be merged unless it is covered by some form of impactful unit testing.

• I added new unit tests to cover this change
• I believe this change is already covered by existing unit tests

I also tried in local:

from llama_index.llms.ovhcloud import OVHcloud
from llama_index.core.llms import ChatMessage

# Using with API key
llm = OVHcloud(
    model="gpt-oss-120b",
    api_key="", # Or empty string for free tier with rate limits)
)

response = llm.complete("The capital of France is")
print(response.text)


messages = [
    ChatMessage(
        role="system", content="You are a helpful assistant"
    ),
    ChatMessage(role="user", content="What is the capital of France?"),
]
response = llm.chat(messages)
print(response)

Suggested Checklist:

• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• I have added Google Colab support for the newly added notebooks.
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• I ran uv run make format; uv run make lint to appease the lint gods