references/endpoints-and-signals.md
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SGLang Endpoints and Signals
Use this reference when checking a live server.
Auth
Most read endpoints are public unless the server is protected by api_key or
admin_api_key.
Use:
curl -H "Authorization: Bearer <token>" ...
Rules:
- normal protected endpoints require
api_key - admin endpoints require
admin_api_key - some HiCache endpoints fail if
admin_api_keyis not configured at all /healthand metrics-style health checks are usually still exposed
Core Endpoints
/health
Cheap liveness check.
200: process is alive enough to answer health503: starting, shutting down, or unhealthy
/health alone is not enough for latency or hang diagnosis.
/health_generate
Active health check.
- exercises a real generate or embedding path
- catches stuck schedulers or broken worker paths that
/healthcan miss
Use this when requests time out but /health is still green.
/model_info
Use for model identity:
model_pathtokenizer_pathis_generationweight_version- multimodal flags
- model type or architectures
This is the first check for wrong-output or wrong-weight problems.
/server_info
Use for runtime shape:
- serialized
server_args - scheduler info
- per-DP
internal_states - SGLang version
This is usually the single best live snapshot.
Load And Capacity
/v1/loads?include=all
Best structured load endpoint for a first pass.
Useful fields:
num_running_reqsnum_waiting_reqsnum_total_tokensnum_used_tokenstoken_usagegen_throughputcache_hit_ratememoryspeculativedisaggregationqueues
Useful queries:
curl -s http://127.0.0.1:30000/v1/loads
curl -s "http://127.0.0.1:30000/v1/loads?include=all"
curl -s "http://127.0.0.1:30000/v1/loads?include=core,queues,disagg"
curl -s "http://127.0.0.1:30000/v1/loads?format=prometheus"
What to look for:
- high
num_waiting_reqswith low compute throughput usually means queueing or capacity pressure token_usagenear1.0usually means KV or token-capacity pressure- low
cache_hit_rateafter a deploy can explain TTFT regressions - PD queue fields often explain transfer or prealloc bottlenecks hidden by plain queue size
/metrics
Prometheus endpoint. Use it when you need trends rather than one live snapshot.
High-value metrics:
sglang:time_to_first_token_secondssglang:time_per_output_token_secondssglang:e2e_request_latency_secondssglang:num_running_reqssglang:num_queue_reqssglang:num_used_tokenssglang:cache_hit_ratesglang:gen_throughputsglang:token_usage
Request Capture
/configure_logging
Used by python -m sglang.srt.managers.configure_logging.
Main use:
- enable request logging
- set request logging level
- enable request dump folder
- set request dump threshold
Typical payload:
{
"log_requests": true,
"log_requests_level": 3,
"dump_requests_folder": "/tmp/sglang_request_dump",
"dump_requests_threshold": 100
}
Use this when the problem is ongoing and you need the next failing request without restarting the service.
HiCache
GET /hicache/storage-backend
Returns tokenizer-side HiCache storage status:
hicache_storage_backendhicache_storage_backend_extra_confighicache_storage_prefetch_policyhicache_write_policy
Use this when long-context or PD problems may involve storage-backed KV reuse.
PUT /hicache/storage-backend
DELETE /hicache/storage-backend
Runtime attach or detach. These are operational actions, not passive checks.
Profiling And Tracing Controls
/start_profile
/stop_profile
Use only after the problem is already narrowed down.
/set_trace_level?level=N
Changes trace verbosity when tracing was enabled at startup.
Levels:
0: disabled1: important slices2: all slices except nested ones3: all slices
Quick Reads By Problem Type
TTFT spike
Read:
/server_info/v1/loads?include=all/metrics
Compare:
- queue size
- token usage
- cache hit rate
- PD disaggregation queues
Hang or timeout
Read:
/health/health_generate/server_info/v1/loads?include=all
If tracing is already enabled, look at trace data before heavier profiling.
Wrong model behavior
Read:
/model_info/server_info- exact request payload and parser or template config
Do not jump to kernel profiling until config drift is ruled out.
Referenced from SKILL.md
Source excerpt starting at line 131.SKILL.mdView in source ↗131Read [references/endpoints-and-signals.md](references/endpoints-and-signals.md)132when you need help reading the baseline bundle or the replay target.
Source excerpt starting at line 272.272 - problem classes, tool switch points, return shape273- [references/endpoints-and-signals.md](references/endpoints-and-signals.md)274 - endpoint behavior, auth notes, field reading