Files
openclaw/extensions/amazon-bedrock/memory-embedding-adapter.ts
Peter Steinberger edecdbd05e refactor(config): config-surface reduction tranche 3 — product consolidations (review request) (#111527)
* refactor(config): consolidate media model lists

* refactor(config): unify memory configuration

* refactor(config): consolidate TTS ownership

* refactor(config): move typing policy to agents

* refactor(config): retire product-level config surfaces

* refactor(config): share scoped tool policy type

* chore(config): refresh generated baselines

* fix(config): honor agent typing overrides

* fix(config): migrate sibling config consumers

* refactor(infra): keep base64url decoder private

* fix(config): strip invalid legacy TTS values

* chore(config): refresh rebased baseline hash

* fix(doctor): route legacy messages.tts.realtime voice to talk during tts move

* refactor(config): polish final layout names

* refactor(config): freeze retired tuning defaults

* feat(config): add fast mode default symmetry

* refactor(config): key agent entries by id

* docs(config): update final layout reference

* test(config): cover final layout migrations

* chore(config): refresh final layout baselines

* fix(config): align final layout runtime readers

* fix(config): align remaining readers

* fix(config): stabilize final layout migrations

* fix(config): finalize config projection proof

* fix(config): address final layout review

* docs(release): preserve historical config names

* fix(config): complete keyed agent migration

* fix(config): close final migration gaps

* fix(config): finish full-branch review

* fix(config): complete runtime secret detection

* fix(config): close final review findings

* fix(config): finish canonical docs and heartbeat migration

* fix(config): integrate latest main after rebase

* refactor(env): isolate test-only controls

* refactor(env): isolate build and development controls

* refactor(env): collapse process identity indirection

* refactor(env): remove duplicate config and temp aliases

* docs(env): define the operator-facing allowlist

* ci(env): ratchet production variable count

* fix(env): remove stale provider helper import

* fix(env): make ratchet sorting explicit

* test(env): keep test seam in dead-code audit

* test(env): cover ratchet growth and boundary; document surface budgets

* docs(config): document tier-eval consolidations

* docs(config): clarify speech preference ownership

* test(memory): align retired tuning fixtures

* refactor(memory): freeze engine heuristics

* refactor(config): apply tier-eval tranche

* refactor(tts): move persona shaping to providers

* refactor(compaction): move prompt policy to providers

* test(config): align hookified prompt fixtures

* chore(deadcode): classify test-only exports

* chore(github): remove unused spawn helper

* chore(deadcode): classify queue diagnostics

* chore(deadcode): remove unused lane snapshot export

* chore(plugin-sdk): ratchet consolidated surface

* fix(config): integrate latest main after rebase
2026-07-21 20:28:43 -07:00

53 lines
1.6 KiB
TypeScript

/**
* Memory embedding adapter for Amazon Bedrock. It exposes Bedrock embeddings to
* the memory-core engine and verifies AWS credentials before auto-selection.
*/
import {
isMissingEmbeddingApiKeyError,
type MemoryEmbeddingProviderAdapter,
} from "openclaw/plugin-sdk/memory-core-host-engine-embeddings";
import {
createBedrockEmbeddingProvider,
DEFAULT_BEDROCK_EMBEDDING_MODEL,
hasAwsCredentials,
} from "./embedding-provider.js";
/** Memory-core adapter descriptor for Bedrock embeddings. */
export const bedrockMemoryEmbeddingProviderAdapter: MemoryEmbeddingProviderAdapter = {
id: "bedrock",
defaultModel: DEFAULT_BEDROCK_EMBEDDING_MODEL,
transport: "remote",
authProviderId: "amazon-bedrock",
autoSelectPriority: 60,
allowExplicitWhenConfiguredAuto: true,
shouldContinueAutoSelection: isMissingEmbeddingApiKeyError,
create: async (options) => {
if (!(await hasAwsCredentials())) {
throw new Error(
'No API key found for provider "bedrock". ' +
"AWS credentials are not available. " +
"Set AWS_ACCESS_KEY_ID/AWS_SECRET_ACCESS_KEY, AWS_PROFILE, or AWS_BEARER_TOKEN_BEDROCK, " +
"configure an EC2/ECS/EKS role, " +
"or set memory.search.provider to another provider.",
);
}
const { provider, client } = await createBedrockEmbeddingProvider({
...options,
provider: "bedrock",
fallback: "none",
});
return {
provider,
runtime: {
id: "bedrock",
cacheKeyData: {
provider: "bedrock",
region: client.region,
model: client.model,
dimensions: client.dimensions,
},
},
};
},
};