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@supermemory/tools had no tool for POST /v4/memories/forget-matching or bucketed profile reads, so agents could forget one memory at a time and read the whole profile or nothing. Adds both, mirrored across the AI SDK and OpenAI surfaces, over fetch — the generated SDK has no forget-matching method and profile()'s params can't express include/buckets. memoryForgetMatching defaults dryRun to true even though the API defaults to false: a model shouldn't be able to bulk-delete in one turn. The Claude skill had drifted further. profile() was called with instead of , the profile response shape was invented, search responses were treated as arrays, Python used dict access on Pydantic models, and filters used a form the API rejects. The reference documented 3 endpoints and never mentioned forgetting at all. Rewrote it against the route schemas in mono, with a table marking which endpoints have SDK methods and which need HTTP. |
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| cartesia-sdk-python | ||
| docs-test | ||
| hooks | ||
| lib | ||
| memory-graph | ||
| openai-sdk-python | ||
| pipecat-sdk-python | ||
| tools | ||
| ui | ||
| validation | ||