{"record":{"id":"05a63c691256f7bf","repo":"tinyhumansai/openhuman","slug":"memory-vector-search-query-cannot-be-empty","errorCode":null,"errorMessage":"memory_vector_search: query cannot be empty","messagePattern":"memory_vector_search: query cannot be empty","errorType":"validation","errorClass":null,"httpStatus":null,"severity":"error","filePath":"src/openhuman/memory/tools/search/vector_search.rs","lineNumber":103,"sourceCode":"                    \"type\": \"integer\",\n                    \"minimum\": 1,\n                    \"maximum\": 50,\n                    \"description\": \"Max results to return (default 10).\"\n                },\n                \"diverse\": {\n                    \"type\": \"boolean\",\n                    \"description\": \"Apply MMR diversity to reduce redundancy among results (default false).\"\n                }\n            }\n        })\n    }\n\n    async fn execute(&self, args: serde_json::Value) -> anyhow::Result<ToolResult> {\n        let parsed: Args = serde_json::from_value(args)\n            .map_err(|e| anyhow::anyhow!(\"invalid arguments for memory_vector_search: {e}\"))?;\n\n        if parsed.query.trim().is_empty() {\n            return Err(anyhow::anyhow!(\n                \"memory_vector_search: query cannot be empty\"\n            ));\n        }\n\n        let limit = parsed.limit.clamp(1, 50);\n        let min_score = parsed.min_score.unwrap_or(0.3);\n\n        log::debug!(\n            \"[tool][memory_vector_search] query_len={} source_kind={:?} window={:?} min_score={} limit={} diverse={}\",\n            parsed.query.len(),\n            parsed.source_kind,\n            parsed.time_window_days,\n            min_score,\n            limit,\n            parsed.diverse,\n        );\n\n        let config = config_rpc::load_config_with_timeout()","sourceCodeStart":85,"sourceCodeEnd":121,"githubUrl":"https://github.com/tinyhumansai/openhuman/blob/749120085864ce16e0f273c7b86fac7740b39c5b/src/openhuman/memory/tools/search/vector_search.rs#L85-L121","documentation":"The vector search tool parsed its arguments successfully but `query` was an empty (or whitespace-only) string. Because an empty query cannot produce a meaningful embedding, the tool rejects it before loading config or contacting the embedding provider — a semantic input guard that fires even though the shape of the arguments was valid.","triggerScenarios":"Thrown at src/openhuman/memory/tools/search/vector_search.rs:103 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":["Provide a non-empty search query string","Trim input client-side and fall back to a sensible default term instead of sending an empty string"],"exampleFix":null,"handlingStrategy":"validation","validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"749120085864ce16e0f273c7b86fac7740b39c5b","analyzedAt":"2026-08-17T21:21:45.363Z","contentChangedAt":null,"schemaVersion":2},"datasetVersion":"2026-09-14T00:17:10.932Z"}