# Environment Variables

SGLang supports various environment variables that can be used to configure its runtime behavior. This document provides a comprehensive list and aims to stay updated over time.

*Note: SGLang uses two prefixes for environment variables: `SGL_` and `SGLANG_`. This is likely due to historical reasons. While both are currently supported for different settings, future versions might consolidate them.*

## General Configuration

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_USE_MODELSCOPE` | Enable using models from ModelScope | `false` |
| `SGLANG_HOST_IP` | Host IP address for the server | `0.0.0.0` |
| `SGLANG_PORT` | Port for the server | auto-detected |
| `SGLANG_LOGGING_CONFIG_PATH` | Custom logging configuration path | Not set |
| `SGLANG_DISABLE_REQUEST_LOGGING` | Disable request logging | `false` |
| `SGLANG_HEALTH_CHECK_TIMEOUT` | Timeout for health check in seconds | `20` |

## Performance Tuning

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_ENABLE_TORCH_INFERENCE_MODE` | Control whether to use torch.inference_mode | `false` |
| `SGLANG_ENABLE_TORCH_COMPILE` | Enable torch.compile | `true` |
| `SGLANG_SET_CPU_AFFINITY` | Enable CPU affinity setting (often set to `1` in Docker builds) | `0` |
| `SGLANG_ALLOW_OVERWRITE_LONGER_CONTEXT_LEN` | Allows the scheduler to overwrite longer context length requests (often set to `1` in Docker builds) | `0` |
| `SGLANG_IS_FLASHINFER_AVAILABLE` | Control FlashInfer availability check | `true` |
| `SGLANG_SKIP_P2P_CHECK` | Skip P2P (peer-to-peer) access check | `false` |
| `SGL_CHUNKED_PREFIX_CACHE_THRESHOLD` | Sets the threshold for enabling chunked prefix caching | `8192` |
| `SGLANG_FUSED_MLA_ENABLE_ROPE_FUSION` | Enable RoPE fusion in Fused Multi-Layer Attention | `1` |

## DeepGEMM Configuration (Advanced Optimization)

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_ENABLE_JIT_DEEPGEMM` | Enable Just-In-Time compilation of DeepGEMM kernels | `"true"` |
| `SGLANG_JIT_DEEPGEMM_PRECOMPILE` | Enable precompilation of DeepGEMM kernels | `"true"` |
| `SGLANG_JIT_DEEPGEMM_COMPILE_WORKERS` | Number of workers for parallel DeepGEMM kernel compilation | `4` |
| `SGL_IN_DEEPGEMM_PRECOMPILE_STAGE` | Indicator flag used during the DeepGEMM precompile script | `"false"` |
| `SGL_DG_CACHE_DIR` | Directory for caching compiled DeepGEMM kernels | `~/.cache/deep_gemm` |
| `SGL_DG_USE_NVRTC` | Use NVRTC (instead of Triton) for JIT compilation (Experimental) | `"0"` |
| `SGL_USE_DEEPGEMM_BMM` | Use DeepGEMM for Batched Matrix Multiplication (BMM) operations | `"false"` |

## DeepEP Configuration

| Environment Variable | Description | Default Value |
| `SGLANG_DEEPEP_BF16_DISPATCH` | Use Bfloat16 for dispatch | `"false"` |

## Memory Management

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_DEBUG_MEMORY_POOL` | Enable memory pool debugging | `false` |
| `SGLANG_CLIP_MAX_NEW_TOKENS_ESTIMATION` | Clip max new tokens estimation for memory planning | `4096` |
| `SGLANG_DETOKENIZER_MAX_STATES` | Maximum states for detokenizer | Default value based on system |
| `SGL_DISABLE_TP_MEMORY_INBALANCE_CHECK` | Disable checks for memory imbalance across Tensor Parallel ranks | Not set (defaults to enabled check) |

## Model-Specific Options

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_USE_AITER` | Use AITER optimize implementation | `false` |
| `SGLANG_INT4_WEIGHT` | Enable INT4 weight quantization | `false` |
| `SGLANG_MOE_PADDING` | Enable MoE padding (sets padding size to 128 if value is `1`, often set to `1` in Docker builds) | `0` |
| `SGLANG_FORCE_FP8_MARLIN` | Force using FP8 MARLIN kernels even if other FP8 kernels are available | `false` |
| `SGLANG_ENABLE_FLASHINFER_GEMM` | Use flashinfer kernels when running blockwise fp8 GEMM on Blackwell GPUs | `false` |
| `SGLANG_SUPPORT_CUTLASS_BLOCK_FP8` | Use Cutlass kernels when running blockwise fp8 GEMM on Hopper or Blackwell GPUs | `false` |
| `SGLANG_CUTLASS_MOE` | Use Cutlass FP8 MoE kernel on Blackwell GPUs | `false` |


## Distributed Computing

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_BLOCK_NONZERO_RANK_CHILDREN` | Control blocking of non-zero rank children processes | `1` |
| `SGL_IS_FIRST_RANK_ON_NODE` | Indicates if the current process is the first rank on its node | `"true"` |
| `SGLANG_PP_LAYER_PARTITION` | Pipeline parallel layer partition specification | Not set |

## Testing & Debugging (Internal/CI)

*These variables are primarily used for internal testing, continuous integration, or debugging.*

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_IS_IN_CI` | Indicates if running in CI environment | `false` |
| `SGLANG_IS_IN_CI_AMD` | Indicates running in AMD CI environment | `0` |
| `SGLANG_TEST_RETRACT` | Enable retract decode testing | `false` |
| `SGLANG_RECORD_STEP_TIME` | Record step time for profiling | `false` |
| `SGLANG_TEST_REQUEST_TIME_STATS` | Test request time statistics | `false` |
| `SGLANG_CI_SMALL_KV_SIZE` | Use small KV cache size in CI | Not set |

## Profiling & Benchmarking

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_TORCH_PROFILER_DIR` | Directory for PyTorch profiler output | `/tmp` |
| `SGLANG_PROFILE_WITH_STACK` | Set `with_stack` option (bool) for PyTorch profiler (capture stack trace) | `true` |

## Storage & Caching

| Environment Variable | Description | Default Value |
| --- | --- | --- |
| `SGLANG_DISABLE_OUTLINES_DISK_CACHE` | Disable Outlines disk cache | `true` |
