hack/tools/scripts/llm-key-hunter/results/_cache/content/anminliu_vecattention.json

{"repo": "anminliu/vecattention", "files": {"eval/VLMEvalKit/.env": {"5338b744300830e10610496147cf046c83ca6be0": {"t": 1785674117.1331697, "n": 566, "h": "f09b04a12b1d509a", "c": "  # .env 文件，将其放置在 $VLMEvalKit 下\n  # 专有 VLMs 的 API 密钥\n  # QwenVL APIs\n  DASHSCOPE_API_KEY=\n  # Gemini w. Google Cloud Backends\n  GOOGLE_API_KEY=\n  # OpenAI API\n  OPENAI_API_KEY=\n  OPENAI_API_BASE=\n  LOCAL_LLM=\n  # StepAI API\n  STEPAI_API_KEY=\n  # REKA API\n  REKA_API_KEY=\n  # GLMV API\n  GLMV_API_KEY=\n  # CongRong API\n  CW_API_BASE=\n  CW_API_KEY=\n  # SenseNova API\n  SENSENOVA_API_KEY=\n  # Hunyuan-Vision API\n  HUNYUAN_SECRET_KEY=\n  HUNYUAN_SECRET_ID=\n  # LMDeploy API\n  LMDEPLOY_API_BASE=\n  # 你可以设置一个评估时代理，评估阶段产生的 API 调用将通过这个代理进行\n  EVAL_PROXY=\n  SiliconFlow_API_KEY="}}}}