Update Memory Config Endpoint

Update the episodic and/or semantic memory configuration.

This endpoint allows updating the memory configuration at runtime after resources (embedders, language models, rerankers) have been added or changed. Without calling this endpoint, newly added resources will not be used by the memory systems.

Both episodic_memory and semantic_memory are optional. Supply one or both depending on which sections need updating. Within each section, only the fields you supply are modified; omitted fields retain their current values.

Typical workflow:

1. Add a new resource via POST /config/resources/embedders or POST /config/resources/language_models
2. Call this endpoint to point the memory configuration at the new resource
3. The configuration is persisted to the configuration file

Example - update episodic long-term memory to use a new embedder:

{
  "episodic_memory": {
    "long_term_memory": {
      "embedder": "my-new-embedder"
    }
  }
}

Example - update semantic memory to use a new LLM and embedder:

{
  "semantic_memory": {
    "llm_model": "my-new-model",
    "embedding_model": "my-new-embedder"
  }
}

Returns 400 if no updates are supplied (both sections are null or empty).