Created
August 8, 2025 07:47
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Use custom open ai api compatible endpoints with vscode copilot via local proxy
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| # config.yaml | |
| # This section defines the models that your local proxy will advertise. | |
| model_list: | |
| - model_name: openai/gpt-oss-120b | |
| litellm_params: | |
| model: nvidia_nim/openai/gpt-oss-120b # The actual model name on OpenRouter | |
| supports_function_calling: true | |
| supports_tool_choice: true | |
| supports_parallel_function_calling: true | |
| supports_streaming: true | |
| supports_chat: true | |
| rpm: 30 | |
| - model_name: nvidia/llama-3.3-nemotron-super-49b-v1.5 | |
| litellm_params: | |
| model: nvidia_nim/nvidia/llama-3.3-nemotron-super-49b-v1.5 # The actual model name on OpenRouter | |
| supports_function_calling: true | |
| supports_tool_choice: true | |
| supports_parallel_function_calling: true | |
| supports_streaming: true | |
| supports_chat: true | |
| rpm: 30 |
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| #!/usr/bin/env bash | |
| set -euo pipefail | |
| # Export environment variables from .env if it exists | |
| if [ -f .env ]; then | |
| echo "Exporting environment variables from .env" | |
| set -a | |
| source .env | |
| set +a | |
| fi | |
| uv run litellm --config config.yaml & | |
| LITELLM_PID=$! | |
| echo "Started litellm with PID $LITELLM_PID" | |
| uvx oai2ollama & | |
| OAI2OLLAMA_PID=$! | |
| echo "Started oai2ollama (via uvx) with PID $OAI2OLLAMA_PID" | |
| # Forward signals and cleanup | |
| cleanup() { | |
| echo "\nStopping background processes..." | |
| kill $LITELLM_PID $OAI2OLLAMA_PID 2>/dev/null | |
| wait $LITELLM_PID $OAI2OLLAMA_PID 2>/dev/null | |
| exit 0 | |
| } | |
| trap cleanup SIGINT SIGTERM | |
| # Wait for both background processes | |
| wait $LITELLM_PID $OAI2OLLAMA_PID |
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