add telemetry docs

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Dinesh Yeduguru 2024-12-05 10:22:33 -08:00
parent a2d9a983de
commit 2379938a1c
3 changed files with 131 additions and 0 deletions

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# Experimental Features
This section contains experimental features that are not yet fully supported or subject to change.
Telemetry: [Telemetry](telemetry/index)
```{toctree}
:hidden:
:maxdepth: 3
telemetry/index
```

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# Telemetry
```{note}
The telemetry system is currently experimental and subject to change. We welcome feedback and contributions to help improve it.
```
The Llama Stack telemetry system provides comprehensive tracing, metrics, and logging capabilities. It supports multiple sink types including OpenTelemetry, SQLite, and Console output.
## Key Concepts
### Events
The telemetry system supports three main types of events:
- **Unstructured Log Events**: Free-form log messages with severity levels
- **Metric Events**: Numerical measurements with units
- **Structured Log Events**: System events like span start/end
### Spans and Traces
- **Spans**: Represent operations with timing and hierarchical relationships
- **Traces**: Collection of related spans forming a complete request flow
### Sinks
- **OpenTelemetry**: Send events to an OpenTelemetry Collector. This is useful for visualizing traces in a service like Jaeger.
- **SQLite**: Store events in a local SQLite database. This is needed if you want to query the events later through the Llama Stack API.
- **Console**: Print events to the console.
## Providers
### Meta-Reference Provider
Currently, only the meta-reference provider is implemented. It can be configured to send events to three sink types:
1) OpenTelemetry Collector
2) SQLite
3) Console
## Configuration
```yaml
telemetry:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
sinks: ['console', 'sqlite', 'otel']
otel_endpoint: "http://localhost:4318/v1/traces"
sqlite_db_path: "/path/to/telemetry.db"
```
## Querying Examples
Querying Traces for a agent session
``` bash
curl -X POST 'http://localhost:5000/alpha/telemetry/query-traces' \
-H 'Content-Type: application/json' \
-d '{
"attribute_filters": [
{
"key": "session_id",
"op": "eq",
"value": "dd667b87-ca4b-4d30-9265-5a0de318fc65" }],
"limit": 100,
"offset": 0,
"order_by": ["start_time"]
[
{
"trace_id": "6902f54b83b4b48be18a6f422b13e16f",
"root_span_id": "5f37b85543afc15a",
"start_time": "2024-12-04T08:08:30.501587",
"end_time": "2024-12-04T08:08:36.026463"
},
........
]
}'
```
Querying spans for a specifc root span id
``` bash
curl -X POST 'http://localhost:5000/alpha/telemetry/get-span-tree' \
-H 'Content-Type: application/json' \
-d '{ "span_id" : "6cceb4b48a156913", "max_depth": 2 }'
{
"span_id": "6cceb4b48a156913",
"trace_id": "dafa796f6aaf925f511c04cd7c67fdda",
"parent_span_id": "892a66d726c7f990",
"name": "retrieve_rag_context",
"start_time": "2024-12-04T09:28:21.781995",
"end_time": "2024-12-04T09:28:21.913352",
"attributes": {
"input": [
"{\"role\":\"system\",\"content\":\"You are a helpful assistant\"}",
"{\"role\":\"user\",\"content\":\"What are the top 5 topics that were explained in the documentation? Only list succinct bullet points.\",\"context\":null}"
]
},
"children": [
{
"span_id": "1a2df181854064a8",
"trace_id": "dafa796f6aaf925f511c04cd7c67fdda",
"parent_span_id": "6cceb4b48a156913",
"name": "MemoryRouter.query_documents",
"start_time": "2024-12-04T09:28:21.787620",
"end_time": "2024-12-04T09:28:21.906512",
"attributes": {
"input": null
},
"children": [],
"status": "ok"
}
],
"status": "ok"
}
```

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@ -84,4 +84,5 @@ building_applications/index
contributing/index contributing/index
references/index references/index
cookbooks/index cookbooks/index
experimental/index
``` ```