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feat: Add Forge as LLM provider #34

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8 changes: 8 additions & 0 deletions evaluation/code_eval/coding/LiveCodeBench/lcb_runner/lm_styles.py
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Original file line number Diff line number Diff line change
Expand Up @@ -287,6 +287,14 @@ def to_dict(self) -> dict:
datetime(2023, 4, 30),
link="https://openai.com/index/spring-update",
),
## Forge (OpenAI-compatible)
LanguageModel(
"OpenAI/gpt-4o-mini",
"Forge-OpenAI-GPT-4o-mini",
LMStyle.OpenAIChat,
datetime(2024, 7, 18),
link="https://forge.tensorblock.co",
),
## O1-Mini and O1-Preview
LanguageModel(
"o1-preview-2024-09-12",
Expand Down
16 changes: 12 additions & 4 deletions evaluation/code_eval/coding/LiveCodeBench/lcb_runner/runner/oai_runner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,12 +12,20 @@


class OpenAIRunner(BaseRunner):
client = OpenAI(
api_key=os.getenv("OPENAI_KEY"),
)
@staticmethod
def _build_client():
forge_api_key = os.getenv("FORGE_API_KEY")
if forge_api_key:
return OpenAI(
api_key=forge_api_key,
base_url=os.getenv("FORGE_API_BASE")
or "https://api.forge.tensorblock.co/v1",
)
return OpenAI(api_key=os.getenv("OPENAI_KEY"))

def __init__(self, args, model):
super().__init__(args, model)
self.client = self._build_client()
if model.model_style == LMStyle.OpenAIReasonPreview:
self.client_kwargs: dict[str | str] = {
"model": args.model,
Expand Down Expand Up @@ -49,7 +57,7 @@ def _run_single(self, prompt: list[dict[str, str]]) -> list[str]:
assert isinstance(prompt, list)

try:
response = OpenAIRunner.client.chat.completions.create(
response = self.client.chat.completions.create(
messages=prompt,
**self.client_kwargs,
)
Expand Down