Implementation:Open compass VLMEvalKit Reka Wrapper
Appearance
| Field | Value |
|---|---|
| source | VLMEvalKit |
| domain | Vision, API_Integration |
Overview
Reka_Wrapper provides a VLMEvalKit API adapter for Reka AI vision-language models.
Description
Reka_Wrapper inherits from BaseAPI and uses the reka Python SDK to communicate with Reka's chat API. It converts images to base64 data URIs for transmission, supports configurable temperature and output length parameters, and authenticates via the REKA_API_KEY environment variable. The INTERLEAVE flag is set to False.
Usage
Use this adapter when evaluating Reka AI models (such as reka-flash-20240226) through the Reka API.
Code Reference
- Source:
vlmeval/api/reka.py, Lines: L1-59 - Import:
from vlmeval.api.reka import Reka_Wrapper
Signature:
class Reka_Wrapper(BaseAPI):
def __init__(self, model='reka-flash-20240226', key=None, retry=10,
system_prompt=None, verbose=True, temperature=0,
max_tokens=1024, **kwargs): ...
def generate_inner(self, inputs, **kwargs): ...
I/O Contract
| Direction | Description |
|---|---|
| Inputs | message — text/image/video content list; model-specific params via kwargs |
| Outputs | generate() returns str prediction; generate_inner() returns (int, str, str) tuple |
Usage Examples
# Example instantiation
model = Reka_Wrapper(model='reka-flash-20240226')
response = model.generate(message)
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