{"record":{"id":"b294610937e17df7","repo":"mem0ai/mem0","slug":"failed-to-update-vector-response-status-erro","errorCode":null,"errorMessage":"Failed to update vector: ${response.status} ${errorText}","messagePattern":"Failed to update vector: (.+?) (.+?)","errorType":"exception","errorClass":"Error","httpStatus":null,"severity":"error","filePath":"mem0-ts/src/oss/src/vector_stores/vectorize.ts","lineNumber":179,"sourceCode":"        values: vector,\n        metadata: payload,\n      };\n\n      const response = await fetch(\n        `https://api.cloudflare.com/client/v4/accounts/${this.accountId}/vectorize/v2/indexes/${this.indexName}/upsert`,\n        {\n          method: \"POST\",\n          headers: {\n            \"Content-Type\": \"application/x-ndjson\",\n            Authorization: `Bearer ${this.client?.apiToken}`,\n          },\n          body: JSON.stringify(data) + \"\\n\", // ndjson format\n        },\n      );\n\n      if (!response.ok) {\n        const errorText = await response.text();\n        throw new Error(\n          `Failed to update vector: ${response.status} ${errorText}`,\n        );\n      }\n    } catch (error) {\n      console.error(\"Error updating vector:\", error);\n      throw new Error(\n        `Failed to update vector: ${error instanceof Error ? error.message : String(error)}`,\n      );\n    }\n  }\n\n  async delete(vectorId: string): Promise<void> {\n    await this.initialize();\n    try {\n      await this.client?.vectorize.indexes.deleteByIds(this.indexName, {\n        account_id: this.accountId,\n        ids: [vectorId],\n      });","sourceCodeStart":161,"sourceCodeEnd":197,"githubUrl":"https://github.com/mem0ai/mem0/blob/001c235229be8795e3834520467bd0d661ed8f34/mem0-ts/src/oss/src/vector_stores/vectorize.ts#L161-L197","documentation":"The Vectorize store updates vectors by POSTing a single-record NDJSON body to the Cloudflare upsert endpoint. When the HTTP response is not ok, it throws with the status and body text. Note the update path posts JSON.stringify(data), so a payload-shape or dimension problem surfaces here as a 400 with Cloudflare's validation message.","triggerScenarios":"memory.update(id, ...) with a new embedding whose length differs from the index dims; token without write scope; wrong accountId/indexName; metadata values not serializable to Vectorize's expected schema.","commonSituations":"Switching embedding models without re-creating the index; read-only tokens used for updates; index recreated under a new name after config was written.","solutions":["Match the 400 error text: dimension errors -> ensure the updated vector length equals the index dims.","401/403 -> token needs Vectorize edit/write permission.","404 -> verify accountId and indexName."],"exampleFix":null,"handlingStrategy":"try-catch","validationCode":"if (vector && vector.length !== indexDims) throw new Error(`Update vector has ${vector.length} dims; index expects ${indexDims}`);","typeGuard":null,"tryCatchPattern":"try { await memory.update(id, data); } catch (e) { if (e instanceof Error && e.message.startsWith('Failed to update vector: ')) { const status = e.message.split(' ')[4]; if (status?.startsWith('4')) handlePermanent(e); else await retryWithBackoff(() => memory.update(id, data), 3); } else throw e; }","preventionTips":["Check update payload dimensions against index dims","Keep the token write-capable","Upsert semantics make retries safe when ids are stable"],"tags":["cloudflare","vectorize","update","dimensions"],"backgroundTag":null,"analyzedSha":"001c235229be8795e3834520467bd0d661ed8f34","analyzedAt":"2026-08-15T01:55:42.685Z","schemaVersion":2},"datasetVersion":"2026-08-15T22:17:37.221Z"}