Logging

Overview

Dynamo provides structured logging in both text as well as JSONL. When JSONL is enabled, logs support trace_id and span_id fields for distributed tracing. Span creation and exit events can be optionally enabled via the DYN_LOGGING_SPAN_EVENTS environment variable.

Environment Variables

OTLP Log Export

When OTEL_EXPORT_ENABLED=true, Dynamo exports both traces and logs via OTLP. Logs are sent to an OpenTelemetry Collector which routes them to Grafana Loki for aggregation and querying.

By default, logs are exported to the same endpoint as traces (OTEL_EXPORTER_OTLP_TRACES_ENDPOINT). To send logs to a different endpoint, set OTEL_EXPORTER_OTLP_LOGS_ENDPOINT:

$
export OTEL_EXPORT_ENABLED=true
$
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=http://localhost:4317
$
# Optional: send logs to a different endpoint
$
# export OTEL_EXPORTER_OTLP_LOGS_ENDPOINT=http://localhost:4317

The local observability stack (see Getting Started) includes an OpenTelemetry Collector that receives OTLP on localhost:4317 and routes traces to Tempo and logs to Loki. In Grafana, the Loki datasource is pre-configured with a derived field that links trace_id labels to Tempo, so you can jump directly from a log line to its corresponding trace.

Getting Started Quickly

Start Observability Stack

For collecting and visualizing logs with Grafana Loki, or viewing trace context in logs alongside Grafana Tempo, start the observability stack. See Observability Getting Started for instructions. The stack includes Loki, an OpenTelemetry Collector, and Tempo — all pre-wired together.

Enable Structured Logging

Enable structured JSONL logging:

$
export DYN_LOGGING_JSONL=true
$
export DYN_LOG=debug
$
$
# Start your Dynamo components (default port 8000, override with --http-port or DYN_HTTP_PORT env var)
$
python -m dynamo.frontend &
$
python -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager &

Logs will be written to stderr in JSONL format with trace context.

Available Logging Levels

Example Readable Format

Environment Setting:

export DYN_LOG="info,dynamo_runtime::system_status_server:trace"
export DYN_LOGGING_JSONL="false"

Resulting Log format:

2025-09-02T15:50:01.770028Z  INFO main.init: VllmWorker for Qwen/Qwen3-0.6B has been initialized
2025-09-02T15:50:01.770195Z  INFO main.init: Reading Events from tcp://127.0.0.1:21555
2025-09-02T15:50:01.770265Z  INFO main.init: Getting engine runtime configuration metadata from vLLM engine...
2025-09-02T15:50:01.770316Z  INFO main.get_engine_cache_info: Cache config values: {'num_gpu_blocks': 24064}
2025-09-02T15:50:01.770358Z  INFO main.get_engine_cache_info: Scheduler config values: {'max_num_seqs': 256, 'max_num_batched_tokens': 2048}

Example JSONL Format

Environment Setting:

export DYN_LOG="info,dynamo_runtime::system_status_server:trace"
export DYN_LOGGING_JSONL="true"

Resulting Log format:

{"time":"2025-09-02T15:53:31.943377Z","level":"INFO","target":"log","message":"VllmWorker for Qwen/Qwen3-0.6B has been initialized","log.file":"/opt/dynamo/venv/lib/python3.12/site-packages/dynamo/vllm/main.py","log.line":191,"log.target":"main.init"}
{"time":"2025-09-02T15:53:31.943550Z","level":"INFO","target":"log","message":"Reading Events from tcp://127.0.0.1:26771","log.file":"/opt/dynamo/venv/lib/python3.12/site-packages/dynamo/vllm/main.py","log.line":212,"log.target":"main.init"}
{"time":"2025-09-02T15:53:31.943636Z","level":"INFO","target":"log","message":"Getting engine runtime configuration metadata from vLLM engine...","log.file":"/opt/dynamo/venv/lib/python3.12/site-packages/dynamo/vllm/main.py","log.line":220,"log.target":"main.init"}
{"time":"2025-09-02T15:53:31.943701Z","level":"INFO","target":"log","message":"Cache config values: {'num_gpu_blocks': 24064}","log.file":"/opt/dynamo/venv/lib/python3.12/site-packages/dynamo/vllm/main.py","log.line":267,"log.target":"main.get_engine_cache_info"}
{"time":"2025-09-02T15:53:31.943747Z","level":"INFO","target":"log","message":"Scheduler config values: {'max_num_seqs': 256, 'max_num_batched_tokens': 2048}","log.file":"/opt/dynamo/venv/lib/python3.12/site-packages/dynamo/vllm/main.py","log.line":268,"log.target":"main.get_engine_cache_info"}

Logging of Trace and Span IDs

When DYN_LOGGING_JSONL is enabled, all logs include trace_id and span_id fields, and spans are automatically created for requests. This is useful for short debugging sessions where you want to examine trace context in logs without setting up a full tracing backend and for correlating log messages with traces.

The trace and span information uses the OpenTelemetry format and libraries, which means the IDs are compatible with OpenTelemetry-based tracing backends like Tempo or Jaeger if you later choose to enable trace export.

Note: This section has overlap with Distributed Tracing with Tempo. For trace visualization in Grafana Tempo and persistent trace analysis, see Distributed Tracing with Tempo.

Configuration for Logging

To see trace information in logs:

$
export DYN_LOGGING_JSONL=true
$
export DYN_LOG=debug  # Set to debug to see detailed trace logs
$
$
# Start your Dynamo components (e.g., frontend and worker) (default port 8000, override with --http-port or DYN_HTTP_PORT env var)
$
python -m dynamo.frontend &
$
python -m dynamo.vllm --model Qwen/Qwen3-0.6B --enforce-eager &

This enables JSONL logging with trace_id and span_id fields. Traces appear in logs but are not exported to any backend.

Example Request

Send a request to generate logs with trace context:

$
curl -H 'Content-Type: application/json' \
>
-H 'x-request-id: test-trace-001' \
>
-d '{
>
  "model": "Qwen/Qwen3-0.6B",
>
  "max_completion_tokens": 100,
>
  "messages": [
>
    {"role": "user", "content": "What is the capital of France?"}
>
  ]
>
}' \
>
http://localhost:8000/v1/chat/completions

Check the logs (stderr) for JSONL output containing trace_id, span_id, and x_request_id fields.

Trace and Span Information in Logs

This section shows how trace and span information appears in JSONL logs. These logs can be used to understand request flows even without a trace visualization backend.

Example Disaggregated Trace in Grafana

When viewing the corresponding trace in Grafana, you should be able to see something like the following:

Trace Overview

Dynamo creates distributed traces that span across multiple services in a disaggregated serving setup. The following sections describe the key spans you’ll see in Grafana when viewing traces for chat completion requests.

Available Spans in Disaggregated Mode

When running Dynamo in disaggregated mode, a typical request creates the following spans:

1. http-request (Frontend - Root Span)

The root span for the entire request lifecycle, created in the dynamo-frontend service.

Key Attributes:

• Service: dynamo-frontend
• Operation: Handles the HTTP request from client to completion
• Duration: Total end-to-end request time (includes prefill + decode)
• Method: HTTP method (typically POST)
• URI: Request endpoint (e.g., /v1/chat/completions)
• Status: Request completion status
• Children: Typically 2-3 child spans (routing span + worker spans)

This span represents the complete request flow from when the frontend receives the HTTP request until the final response is sent back to the client.

2. prefill_routing (Frontend - Routing Span)

A child span of http-request, created in the dynamo-frontend service during the routing phase.

Key Attributes:

• Service: dynamo-frontend
• Operation: Routes the prefill request to an appropriate prefill worker
• Duration: Time spent selecting and the span of prefill.
• Parent: http-request span

This span captures the routing logic and decision-making process and the request sent to the prefill worker.

3. handle_payload (Prefill Worker Span)

A child span of http-request, created in the dynamo-worker-vllm-prefill service.

Key Attributes:

• Service: dynamo-worker-vllm-prefill (or dynamo-worker-sglang-prefill for SGLang)
• Operation: Processes the prefill phase of generation
• Duration: Time to compute prefill (typically milliseconds to seconds)
• Component: prefill
• Endpoint: generate
• Parent: http-request span

This span represents the actual prefill computation on a prefill-specialized worker, including prompt processing and initial KV cache generation.

4. handle_payload (Decode Worker Span)

A child span of http-request, created in the dynamo-worker-vllm-decode service.

Key Attributes:

• Service: dynamo-worker-vllm-decode (or dynamo-worker-sglang-decode for SGLang)
• Operation: Processes the decode phase of generation
• Duration: Time to generate all output tokens (typically seconds)
• Component: decode or backend
• Endpoint: generate
• Parent: http-request span

This span represents the iterative token generation phase on a decode-specialized worker, which consumes the KV cache from prefill and produces output tokens.

Understanding Span Metrics

Each span provides several useful metrics:

The relationship Duration = Busy Time + Idle Time helps identify where time is spent and potential bottlenecks.

Custom Request IDs in Logs

You can provide a custom request ID using the x-request-id header. This ID will be attached to all spans and logs for that request, making it easier to correlate traces with application-level request tracking.

Example Request with Custom Request ID

1
curl -X POST http://localhost:8000/v1/chat/completions \
2
  -H 'Content-Type: application/json' \
3
  -H 'x-request-id: 8372eac7-5f43-4d76-beca-0a94cfb311d0' \
4
  -d '{
5
    "model": "Qwen/Qwen3-0.6B",
6
    "messages": [
7
      {
8
        "role": "user",
9
        "content": "Explain why Roger Federer is considered one of the greatest tennis players of all time"
10
      }
11
    ],
12
    "stream": false,
13
    "max_tokens": 1000
14
  }'

All spans and logs for this request will include the x_request_id attribute with value 8372eac7-5f43-4d76-beca-0a94cfb311d0.

Frontend Logs with Custom Request ID

Notice how the x_request_id field appears in all log entries, alongside the trace_id (80196f3e3a6fdf06d23bb9ada3788518) and span_id:

{"time":"2025-10-31T21:06:45.397194Z","level":"DEBUG","file":"/opt/dynamo/lib/runtime/src/pipeline/network/tcp/server.rs","line":230,"target":"dynamo_runtime::pipeline::network::tcp::server","message":"Registering new TcpStream on 10.0.4.65:41959","method":"POST","span_id":"f7e487a9d2a6bf38","span_name":"http-request","trace_id":"80196f3e3a6fdf06d23bb9ada3788518","uri":"/v1/chat/completions","version":"HTTP/1.1","x_request_id":"8372eac7-5f43-4d76-beca-0a94cfb311d0"}
{"time":"2025-10-31T21:06:45.418584Z","level":"DEBUG","file":"/opt/dynamo/lib/llm/src/kv_router/prefill_router.rs","line":232,"target":"dynamo_llm::kv_router::prefill_router","message":"Prefill succeeded, using disaggregated params for decode","method":"POST","span_id":"f7e487a9d2a6bf38","span_name":"http-request","trace_id":"80196f3e3a6fdf06d23bb9ada3788518","uri":"/v1/chat/completions","version":"HTTP/1.1","x_request_id":"8372eac7-5f43-4d76-beca-0a94cfb311d0"}
{"time":"2025-10-31T21:06:45.418854Z","level":"DEBUG","file":"/opt/dynamo/lib/runtime/src/pipeline/network/tcp/server.rs","line":230,"target":"dynamo_runtime::pipeline::network::tcp::server","message":"Registering new TcpStream on 10.0.4.65:41959","method":"POST","span_id":"f7e487a9d2a6bf38","span_name":"http-request","trace_id":"80196f3e3a6fdf06d23bb9ada3788518","uri":"/v1/chat/completions","version":"HTTP/1.1","x_request_id":"8372eac7-5f43-4d76-beca-0a94cfb311d0"}

Backend Engine Log Levels

Dynamo’s DYN_LOG environment variable controls Dynamo’s own logging. Each inference backend has its own log level control that is independent of DYN_LOG.

vLLM

vLLM log level is controlled by the VLLM_LOGGING_LEVEL environment variable. It defaults to INFO and is completely independent of DYN_LOG.

$
# Set vLLM to debug while keeping Dynamo at info
$
export DYN_LOG=info
$
export VLLM_LOGGING_LEVEL=DEBUG

Valid values: DEBUG, INFO, WARNING, ERROR, CRITICAL.

TensorRT-LLM

TensorRT-LLM log level is controlled by the TLLM_LOG_LEVEL environment variable. It defaults to INFO and is completely independent of DYN_LOG.

$
# Set TRT-LLM to info while keeping Dynamo at warn
$
export DYN_LOG=warn
$
export TLLM_LOG_LEVEL=INFO

Valid values: TRACE, DEBUG, INFO, WARNING, ERROR, INTERNAL_ERROR.

Note: TLLM_LOG_LEVEL is read once at TensorRT-LLM import time. It must be set before the process starts.

SGLang

SGLang logging is currently configured through Dynamo and follows the DYN_LOG level by default. To disable Dynamo’s SGLang log configuration and manage it independently, set:

$
export DYN_SKIP_SGLANG_LOG_FORMATTING=true

Alternatively, pass the --log-level argument to the SGLang worker command to set the SGLang engine’s log level directly (e.g. --log-level DEBUG). This is independent of DYN_LOG.

Related Documentation

• Distributed Tracing with Tempo
• Log Aggregation in Kubernetes
• Observability Getting Started
• Distributed Runtime Architecture
• Dynamo Architecture Overview
• Backend Guide