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feat(memory): support asymmetric embedding input types

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Peter Steinberger
2026-04-27 11:25:10 +01:00
parent 0dd2844991
commit 775ed36c16
22 changed files with 422 additions and 10 deletions
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docs/reference/memory-config.md
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@@ -149,6 +149,37 @@ For custom OpenAI-compatible endpoints or overriding provider defaults:
Changing model or `outputDimensionality` triggers an automatic full reindex.
</Warning>
</Accordion>
<Accordion title="OpenAI-compatible input types">
OpenAI-compatible embedding endpoints can opt into provider-specific `input_type` request fields. This is useful for asymmetric embedding models that require different labels for query and document embeddings.
| Key | Type | Default | Description |
| ------------------- | -------- | ------- | ------------------------------------------------------- |
| `inputType` | `string` | unset | Shared `input_type` for query and document embeddings |
| `queryInputType` | `string` | unset | Query-time `input_type`; overrides `inputType` |
| `documentInputType` | `string` | unset | Index/document `input_type`; overrides `inputType` |
```json5
{
agents: {
defaults: {
memorySearch: {
provider: "openai",
remote: {
baseUrl: "https://embeddings.example/v1",
apiKey: "env:EMBEDDINGS_API_KEY",
},
model: "asymmetric-embedder",
queryInputType: "query",
documentInputType: "passage",
},
},
},
}
```
Changing these values affects embedding cache identity for provider batch indexing and should be followed by a memory reindex when the upstream model treats the labels differently.
</Accordion>
<Accordion title="Bedrock">
Bedrock uses the AWS SDK default credential chain — no API keys needed. If OpenClaw runs on EC2 with a Bedrock-enabled instance role, just set the provider and model: