feat(ai): add requestMetadata support to BedrockOptions for cost allocation tagging (#2511)

Add an optional requestMetadata field to BedrockOptions that forwards
key-value pairs to the Bedrock Converse API ConverseStreamCommand. Tags
appear in AWS Cost Explorer split cost allocation data, enabling callers
to attribute inference costs to specific applications or contexts.

Changes:
- Add requestMetadata?: Record<string, string> to BedrockOptions with
  JSDoc documenting AWS constraints (max 50 pairs, key 64 chars, value
  256 chars, no aws: prefix)
- Pass requestMetadata to commandInput via conditional spread to avoid
  sending undefined when omitted
- Export BedrockOptions from package root (consistent with other
  provider option types)
- Add E2E tests: metadata forwarded to SDK payload, and omitted when
  not provided

closes #2510
This commit is contained in:
wjonaskr
2026-03-23 03:05:55 +09:00
committed by GitHub
parent b21b42d032
commit 3bcbae490c
4 changed files with 66 additions and 0 deletions

View File

@@ -1246,6 +1246,60 @@ describe("Generate E2E Tests", () => {
expect(payload.additionalModelRequestFields?.output_config).toEqual({ effort: "max" });
expect(payload.additionalModelRequestFields?.anthropic_beta).toBeUndefined();
});
it("should pass requestMetadata to the SDK payload", { retry: 3 }, async () => {
const llmSonnet = getModel("amazon-bedrock", "global.anthropic.claude-sonnet-4-5-20250929-v1:0");
let capturedPayload: unknown;
const metadata = { app: "pi-test", env: "ci" };
const response = await complete(
llmSonnet,
{
messages: [
{
role: "user",
content: "Say hi.",
timestamp: Date.now(),
},
],
},
{
requestMetadata: metadata,
onPayload: (payload) => {
capturedPayload = payload;
},
},
);
expect(response.stopReason, `Error: ${response.errorMessage}`).not.toBe("error");
expect(capturedPayload).toBeTruthy();
expect((capturedPayload as { requestMetadata?: unknown }).requestMetadata).toEqual(metadata);
});
it("should omit requestMetadata from payload when not provided", { retry: 3 }, async () => {
const llmSonnet = getModel("amazon-bedrock", "global.anthropic.claude-sonnet-4-5-20250929-v1:0");
let capturedPayload: unknown;
const response = await complete(
llmSonnet,
{
messages: [
{
role: "user",
content: "Say hi.",
timestamp: Date.now(),
},
],
},
{
onPayload: (payload) => {
capturedPayload = payload;
},
},
);
expect(response.stopReason, `Error: ${response.errorMessage}`).not.toBe("error");
expect(capturedPayload).toBeTruthy();
expect("requestMetadata" in (capturedPayload as object)).toBe(false);
});
});
// Check if ollama is installed and local LLM tests are enabled