aws / aws/bedrock-agentcore-sdk-python
Add user identity (enduser.id) attribute to OpenTelemetry
- 主要言語
- Python
- スター
- 761
- フォーク
- 147
- 平均マージ
- 1日 23時間
- マージ済み PR(30日)
- 7
説明
### Feature Description
Currently, the OpenTelemetry (OTel) traces and spans generated during AgentCore invocation (`InvokeAgentRuntime` / `gen_ai` execution) capture telemetry metrics and session identifiers, but do not consistently populate user identity in the span attributes.
We request adding support to automatically populate user identity (or allow passing custom user identity metadata) onto OTel span attributes, following the OpenTelemetry Semantic Conventions for user attributes (`enduser.id`).
---
### Use Case & Impact
1. **User-level Observability & Debugging**: When troubleshooting agent execution failures or slow agent runs in observability platforms (e.g., Datadog, Grafana, Dynatrace, OpenSearch), SREs and developers need to trace issues back to specific end-users.
2. **Auditability & Compliance**: Enterprise compliance standards often require linking LLM invocations and tool calls directly to the initiating user identity.
3. **Usage Attribution & Quotas**: Facilitates per-user telemetry tracking, token usage analytics, and user-level rate limiting.
---
### Proposed Solution
- **Standard Attribute**: Set the span attribute `enduser.id` on root invocation spans and downstream tool/model execution spans according to the [OpenTelemetry Semantic Conventions for User Attributes](https://opentelemetry.io/docs/specs/semconv/general/attributes/#user-attributes).
- **Configuration / Propagation**:
- Extract the user ID automatically from Inbound Authentication JWT tokens (e.g., Cognito `sub` or custom claim) if passed via AgentCore Identity/Auth headers.
- Expose a mechanism in `BedrockAgentCoreApp` or request context context/metadata to explicitly inject `user_id` when initializing or handling incoming requests.
---
### Example / Expected Behavior
When an agent invocation span is generated, the resulting OpenTelemetry span attributes should include:
```json
{
"gen_ai.system": "aws.bedrock",
"enduser.id": "usr_987654321",
"session.id": "session_12345"
}
コントリビューションガイド
調査の方向性
まず、InvokeAgentRuntime と gen_ai 実行における OpenTelemetry span の作成を追跡し、次に BedrockAgentCoreApp の request 処理と AgentCore Identity/Auth ヘッダーを調査します。利用可能な identity コンテキストを OpenTelemetry の enduser.id 規約と比較します。root span と downstream span が、明示的に指定されたユーザーメタデータを含め、要求された identity を一貫して公開すれば完了です。
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- aws, python
- 領域
- authentication, observability
- issue の種類
- 機能追加
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 静か
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 48/100