UserAgent filter plugin
Parses user-agent strings into structured fields such as browser, operating system, and device. The plugin uses a bundled regex database so it works without any outbound network calls.
- Package:
logstash-filter-useragent - Coverage source: default/bundled
- Official catalog entry: Yes
Plugin overview
useragent is used in the Logstash filter stage. Parses user-agent strings into browser, OS, and device fields.
Typical use cases
- Parse incoming log payloads into structured fields for querying and dashboards.
- Transform fields before indexing to keep schema and naming consistent.
Input and output behavior
- Flow: reads a configured source field and writes parsed/transformed output into a target or root fields.
- Input field:
source. - Output target: controlled by
target. - Important options:
source,target,ecs_compatibility,lru_cache_size.
Options
Required
source(type: string; default: none) — Field that contains the user-agent string.
Optional
ecs_compatibility(type: string) — Controls ECS field compatibility behaviour (disabled,v1, orv8).lru_cache_size(type: number; default:100000) — In-memory cache size used to speed up repeated lookups.prefix(type: string; default:"") — Prefix added to each generated field name.regexes(type: string; default: none) — Path to a custom regex YAML file (use the default when possible).target(type: string) — Parent field to nest parsed components under (defaults to the event root).
Example configuration
filter {
useragent {
source => "[user_agent][original]"
target => "[user_agent]"
}
}Common options configuration
All Logstash filter plugins support these shared options:
add_field(type: hash; default:{}) — Adds fields when the filter succeeds. Supports dynamic field names and values.add_tag(type: array; default:[]) — Adds one or more tags when the filter succeeds.enable_metric(type: boolean; default:true) — Enables or disables metric collection for this plugin instance.id(type: string; default:none) — Sets an explicit plugin instance ID for monitoring and troubleshooting.periodic_flush(type: boolean; default:false) — Calls the filter flush method at regular intervals.remove_field(type: array; default:[]) — Removes fields when the filter succeeds. Supports dynamic field names.remove_tag(type: array; default:[]) — Removes tags when the filter succeeds.
filter {
useragent {
add_field => { "pipeline_stage" => "parsed" }
add_tag => ["parsed", "logstash_filter"]
enable_metric => true
id => "my_filter_instance"
periodic_flush => false
remove_field => ["tmp_field"]
remove_tag => ["temporary"]
}
}Apply in Logit.io
- Open your stack in Logit.io and navigate to Logstash Pipelines.
- In the
filter { ... }section, add auseragentblock. - Save your pipeline changes, then restart the Logstash pipeline if prompted.
- Send sample events and verify parsed/enriched fields in OpenSearch Dashboards.
Validation checklist
- Confirm the
useragentblock compiles without syntax errors. - Verify expected new/updated fields exist in sample documents.
- Verify unexpected fields are not removed unless explicitly configured.
- Confirm tags added on success/failure align with your alerting and routing rules.
Troubleshooting
- If events are unchanged, verify your filter condition (
if ...) matches incoming events. - If the pipeline fails to start, validate braces/quotes and retry with a minimal filter block.
- If throughput drops, reduce expensive operations and test with representative sample volume.
References
- GitHub package:
logstash-filter-useragent(opens in a new tab) - Canonical catalog: /log-management/ingestion-pipeline/logstash-filters-reference