grelay/env.example

# OpenAI-compatible endpoint URL
# If on same Docker network (llm_internal): use container name
#   Example: http://vllm-server:8000/v1/chat/completions
# If on host machine: use host.docker.internal
#   Example: http://host.docker.internal:8000/v1/chat/completions
OPENAI_ENDPOINT=http://host.docker.internal:8000/v1/chat/completions

# OpenAI API Key (if required by your endpoint)
OPENAI_API_KEY=none

# Model name to use (check your endpoint's /v1/models for available models)
# For InternVL3-8B-AWQ: Use the exact model name from your deployment
OPENAI_MODEL=OpenGVLab/InternVL3-8B-AWQ

# Video format - How to send video to the endpoint
# 'openai' - Standard format (works with OpenAI gpt-4o, vLLM, Ollama with vision models)
# 'vllm'   - Experimental vLLM-specific format  
# 'skip'   - Don't send video (for endpoints without video support like SGLang)
# 'error'  - Fail if video is present
VIDEO_FORMAT=openai