{ "query": "Please summarize the whole context. It is important that you include a summary for each file. All files should be included, so please make sure to go through the entire context", "namespace": "02aaa563-baaa-43bf-b820-2dddbf405a51", "messages": [], "stream": false, "language_level": "", "chat_channel": "", "language": "German", "tone": "neutral", "writing_style": "standard", "model": "gemini-1.5-flash", "knowledgebase": "ki-dev-large", "seed": 0, "client_id": 0, "all_context": true, "follow_up_for": null, "knowledgebase_files_count": 0, "override_command": "", "disable_clarity_check": true, "high_consistency": false, "custom_primer": "", "logging": true, "query_route": "", "web_search": false } QUERY ROUTE Query Route: summary ================================================== **Elapsed Time: 1.37 seconds** ================================================== RAG PARAMS RAG Parameters: {'dynamically_expand': False, 'top_k': 120, 'actual_k': 120, 'satisfying_score': 0} ================================================== **Elapsed Time: 0.00 seconds** ================================================== VECTOR SEARCH RESULTS Results: {'main_results': [{'id': '11a30ef2-e002-4e4b-b1d6-2cd7074e2598', 'metadata': {'chunk': 0.0, 'file_name': 'crawler-issues-19MAR2025.txt', 'is_dict': 'no', 'text': '- if CrawlerJob fails statues will never update, import ' 'status wont update\r\n' '(add failed() method -> create CrawlerProcess with ' 'failed status, record last process time??)\r\n' '- if CrawlerProcessJob fails before recording last ' 'process time ' '("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), ' 'now());") the status will never upate\r\n' '- importing failed Crawler pages still marked ' 'success\r\n' '- if CrawlerFilesJob fails CrawlerProcess status wont ' 'update\r\n' '- if CrawlerPrepareKnowledgebaseTrainingJob fails ' 'import status wont update\r\n' '- CrawlerFilesProcessTrainingJob@handleProcessingError ' '-- failed items are marked as processed/success.\r\n' 'should be markItemAsFailed() same as in ' 'CrawlerPageProcessTrainingJob?\r\n' '\r\n' '- Finalizing Logic Duplication\r\n' 'The completion checking and finalization logic is ' 'duplicated across multiple jobs:\r\n' '\r\n' 'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n' 'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n' 'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n' '\r\n' 'Each has subtle differences, creating opportunities for ' 'inconsistent behavior.\r\n' '\r\n' '- Unreliable S3 File Operations\r\n' 'File operations on S3 have minimal error handling:\r\n' '\r\n' '$this->filesystem->put($s3Path, $newContent);\r\n' 'return $this->filesystem->url($s3Path);\r\n' '\r\n' 'If the S3 put operation fails silently, subsequent code ' 'would continue with a URL to a non-existent file.\r\n' '\r\n' '- try using knowledgebase_crawler_imports table instead ' "of cache for counting since it's already " 'implemented?\r\n' 'update counts every x seconds instead of realtime ' 'updates?\r\n' '\r\n' '- CrawlerFileProcessTrainingJob and/or ' 'CrawlerPageProcessTrainingJob failure not marking ' 'KnowledgebaseCrawler as fail\r\n' '- KnowledgebaseCrawlerImport fails getting deleted ' 'after'}, 'score': 0.0, 'values': []}, {'id': '15825b18-657e-449d-814a-bb7865843d8d', 'metadata': {'chunk': 0.0, 'file_name': 'crawler-issues-19MAR2025%281%29.txt', 'is_dict': 'no', 'text': '- if CrawlerJob fails statues will never update, import ' 'status wont update\r\n' '(add failed() method -> create CrawlerProcess with ' 'failed status, record last process time??)\r\n' '- if CrawlerProcessJob fails before recording last ' 'process time ' '("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), ' 'now());") the status will never upate\r\n' '- importing failed Crawler pages still marked ' 'success\r\n' '- if CrawlerFilesJob fails CrawlerProcess status wont ' 'update\r\n' '- if CrawlerPrepareKnowledgebaseTrainingJob fails ' 'import status wont update\r\n' '- CrawlerFilesProcessTrainingJob@handleProcessingError ' '-- failed items are marked as processed/success.\r\n' 'should be markItemAsFailed() same as in ' 'CrawlerPageProcessTrainingJob?\r\n' '\r\n' '- Finalizing Logic Duplication\r\n' 'The completion checking and finalization logic is ' 'duplicated across multiple jobs:\r\n' '\r\n' 'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n' 'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n' 'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n' '\r\n' 'Each has subtle differences, creating opportunities for ' 'inconsistent behavior.\r\n' '\r\n' '- Unreliable S3 File Operations\r\n' 'File operations on S3 have minimal error handling:\r\n' '\r\n' '$this->filesystem->put($s3Path, $newContent);\r\n' 'return $this->filesystem->url($s3Path);\r\n' '\r\n' 'If the S3 put operation fails silently, subsequent code ' 'would continue with a URL to a non-existent file.\r\n' '\r\n' '- try using knowledgebase_crawler_imports table instead ' "of cache for counting since it's already " 'implemented?\r\n' 'update counts every x seconds instead of realtime ' 'updates?\r\n' '\r\n' '- CrawlerFileProcessTrainingJob and/or ' 'CrawlerPageProcessTrainingJob failure not marking ' 'KnowledgebaseCrawler as fail\r\n' '- KnowledgebaseCrawlerImport fails getting deleted ' 'after'}, 'score': 0.0, 'values': []}, {'id': '02c394e8-e758-4865-b0a2-1959153c341f', 'metadata': {'chunk': 0.0, 'file_name': 'crawler-issues-19MAR2025%282%29.txt', 'is_dict': 'no', 'text': '- if CrawlerJob fails statues will never update, import ' 'status wont update\r\n' '(add failed() method -> create CrawlerProcess with ' 'failed status, record last process time??)\r\n' '- if CrawlerProcessJob fails before recording last ' 'process time ' '("Cache::put($processCrawler->lastCrawlerProcessTimeCacheKey(), ' 'now());") the status will never upate\r\n' '- importing failed Crawler pages still marked ' 'success\r\n' '- if CrawlerFilesJob fails CrawlerProcess status wont ' 'update\r\n' '- if CrawlerPrepareKnowledgebaseTrainingJob fails ' 'import status wont update\r\n' '- CrawlerFilesProcessTrainingJob@handleProcessingError ' '-- failed items are marked as processed/success.\r\n' 'should be markItemAsFailed() same as in ' 'CrawlerPageProcessTrainingJob?\r\n' '\r\n' '- Finalizing Logic Duplication\r\n' 'The completion checking and finalization logic is ' 'duplicated across multiple jobs:\r\n' '\r\n' 'CrawlerPageProcessTrainingJob::checkCompletionAndFinalize\r\n' 'CrawlerFilesProcessTrainingJob::checkCompletionAndFinalize\r\n' 'CheckKnowledgebaseCrawlerImportCompletion::handle\r\n' '\r\n' 'Each has subtle differences, creating opportunities for ' 'inconsistent behavior.\r\n' '\r\n' '- Unreliable S3 File Operations\r\n' 'File operations on S3 have minimal error handling:\r\n' '\r\n' '$this->filesystem->put($s3Path, $newContent);\r\n' 'return $this->filesystem->url($s3Path);\r\n' '\r\n' 'If the S3 put operation fails silently, subsequent code ' 'would continue with a URL to a non-existent file.\r\n' '\r\n' '- try using knowledgebase_crawler_imports table instead ' "of cache for counting since it's already " 'implemented?\r\n' 'update counts every x seconds instead of realtime ' 'updates?\r\n' '\r\n' '- CrawlerFileProcessTrainingJob and/or ' 'CrawlerPageProcessTrainingJob failure not marking ' 'KnowledgebaseCrawler as fail\r\n' '- KnowledgebaseCrawlerImport fails getting deleted ' 'after'}, 'score': 0.0, 'values': []}, {'id': '500fbf44-69bb-4d60-8b0f-613311ead6d9', 'metadata': {'chunk': 0.0, 'file_name': 'link.txt', 'is_dict': 'no', 'text': "rebecca black's friday youtube link\r\n" 'https://www.youtube.com/watch?v=dQw4w9WgXcQ'}, 'score': 0.0, 'values': []}, {'id': '76e06c63-dbe7-402c-993b-a68cbf0144a2', 'metadata': {'chunk': 0.0, 'file_name': 'gpt-vector-dimension-error.txt', 'is_dict': 'no', 'text': '2025-01-23 15:23:13 =======================\r\n' '2025-01-23 15:23:13 CHAT RECEIVED\r\n' '2025-01-23 15:23:13 =======================\r\n' '2025-01-23 15:23:18 INFO: 172.18.0.1:56228 - "POST ' '/kios/knowledgebase/flexible-query/ HTTP/1.1" 500 ' 'Internal Server Error\r\n' '2025-01-23 15:23:18 ERROR: Exception in ASGI ' 'application\r\n' '2025-01-23 15:23:18 Traceback (most recent call ' 'last):\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/uvicorn/protocols/http/httptools_impl.py", ' 'line 426, in run_asgi\r\n' '2025-01-23 15:23:18 result = await app( # type: ' 'ignore[func-returns-value]\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/uvicorn/middleware/proxy_headers.py", ' 'line 84, in __call__\r\n' '2025-01-23 15:23:18 return await self.app(scope, ' 'receive, send)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/fastapi/applications.py", ' 'line 289, in __call__\r\n' '2025-01-23 15:23:18 await super().__call__(scope, ' 'receive, send)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/applications.py", ' 'line 122, in __call__\r\n' '2025-01-23 15:23:18 await ' 'self.middleware_stack(scope, receive, send)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", ' 'line 184, in __call__\r\n' '2025-01-23 15:23:18 raise exc'}, 'score': 0.0, 'values': []}, {'id': '30a58c34-d0e2-4828-a8ed-836afa831454', 'metadata': {'chunk': 1.0, 'file_name': 'gpt-vector-dimension-error.txt', 'is_dict': 'no', 'text': '2025-01-23 15:23:18 raise exc\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/middleware/errors.py", ' 'line 162, in __call__\r\n' '2025-01-23 15:23:18 await self.app(scope, receive, ' '_send)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/middleware/cors.py", ' 'line 83, in __call__\r\n' '2025-01-23 15:23:18 await self.app(scope, receive, ' 'send)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", ' 'line 79, in __call__\r\n' '2025-01-23 15:23:18 raise exc\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/middleware/exceptions.py", ' 'line 68, in __call__\r\n' '2025-01-23 15:23:18 await self.app(scope, receive, ' 'sender)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", ' 'line 20, in __call__\r\n' '2025-01-23 15:23:18 raise e\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/fastapi/middleware/asyncexitstack.py", ' 'line 17, in __call__\r\n' '2025-01-23 15:23:18 await self.app(scope, receive, ' 'send)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", ' 'line 718, in __call__\r\n' '2025-01-23 15:23:18 await route.handle(scope, ' 'receive, send)'}, 'score': 0.0, 'values': []}, {'id': 'f8d88d4c-8ac5-4a5b-9358-b5d2d7ca796b', 'metadata': {'chunk': 2.0, 'file_name': 'gpt-vector-dimension-error.txt', 'is_dict': 'no', 'text': '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", ' 'line 276, in handle\r\n' '2025-01-23 15:23:18 await self.app(scope, receive, ' 'send)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/routing.py", ' 'line 66, in app\r\n' '2025-01-23 15:23:18 response = await ' 'func(request)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", ' 'line 273, in app\r\n' '2025-01-23 15:23:18 raw_response = await ' 'run_endpoint_function(\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/fastapi/routing.py", ' 'line 192, in run_endpoint_function\r\n' '2025-01-23 15:23:18 return await ' 'run_in_threadpool(dependant.call, **values)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/starlette/concurrency.py", ' 'line 41, in run_in_threadpool\r\n' '2025-01-23 15:23:18 return await ' 'anyio.to_thread.run_sync(func, *args)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", ' 'line 33, in run_sync\r\n' '2025-01-23 15:23:18 return await ' 'get_asynclib().run_sync_in_worker_thread(\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", ' 'line 877, in run_sync_in_worker_thread\r\n' '2025-01-23 15:23:18 return await future\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", ' 'line 807, in run'}, 'score': 0.0, 'values': []}, {'id': '762860f7-4cd7-4295-9c41-3cfcd87b3fa8', 'metadata': {'chunk': 3.0, 'file_name': 'gpt-vector-dimension-error.txt', 'is_dict': 'no', 'text': '2025-01-23 15:23:18 result = context.run(func, ' '*args)\r\n' '2025-01-23 15:23:18 File "/app/main.py", line 2018, ' 'in kios_retrieve_information_via_chat\r\n' '2025-01-23 15:23:18 search_results = ' 'docsearch.max_marginal_relevance_search_by_vector(res.data[0].embedding,k=actual_k, ' 'fetch_k=top_k)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/langchain_pinecone/vectorstores.py", ' 'line 307, in max_marginal_relevance_search_by_vector\r\n' '2025-01-23 15:23:18 results = self._index.query(\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/utils/error_handling.py", ' 'line 10, in inner_func\r\n' '2025-01-23 15:23:18 return func(*args, **kwargs)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/data/index.py", ' 'line 399, in query\r\n' '2025-01-23 15:23:18 response = ' 'self._vector_api.query(\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", ' 'line 772, in __call__\r\n' '2025-01-23 15:23:18 return self.callable(self, ' '*args, **kwargs)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api/data_plane_api.py", ' 'line 844, in __query\r\n' '2025-01-23 15:23:18 return ' 'self.call_with_http_info(**kwargs)\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", ' 'line 834, in call_with_http_info'}, 'score': 0.0, 'values': []}, {'id': '2996fde4-646b-4f84-95bb-15b841b878e4', 'metadata': {'chunk': 4.0, 'file_name': 'gpt-vector-dimension-error.txt', 'is_dict': 'no', 'text': '2025-01-23 15:23:18 return ' 'self.api_client.call_api(\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", ' 'line 409, in call_api\r\n' '2025-01-23 15:23:18 return ' 'self.__call_api(resource_path, method,\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", ' 'line 203, in __call_api\r\n' '2025-01-23 15:23:18 raise e\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", ' 'line 196, in __call_api\r\n' '2025-01-23 15:23:18 response_data = ' 'self.request(\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/api_client.py", ' 'line 455, in request\r\n' '2025-01-23 15:23:18 return ' 'self.rest_client.POST(url,\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/rest.py", ' 'line 302, in POST\r\n' '2025-01-23 15:23:18 return self.request("POST", ' 'url,\r\n' '2025-01-23 15:23:18 File ' '"/usr/local/lib/python3.10/dist-packages/pinecone/core/client/rest.py", ' 'line 261, in request\r\n' '2025-01-23 15:23:18 raise ' 'PineconeApiException(http_resp=r)\r\n' '2025-01-23 15:23:18 ' 'pinecone.core.client.exceptions.PineconeApiException: ' '(400)\r\n' '2025-01-23 15:23:18 Reason: Bad Request'}, 'score': 0.0, 'values': []}, {'id': '70a8b026-cebd-4d09-9f36-1702675f9515', 'metadata': {'chunk': 5.0, 'file_name': 'gpt-vector-dimension-error.txt', 'is_dict': 'no', 'text': '2025-01-23 15:23:18 Reason: Bad Request\r\n' '2025-01-23 15:23:18 HTTP response headers: ' "HTTPHeaderDict({'content-type': 'application/json', " "'Content-Length': '104', " "'x-pinecone-request-latency-ms': '73', " "'x-pinecone-request-id': '5221281482731493865', 'date': " "'Thu, 23 Jan 2025 07:23:09 GMT', " "'x-envoy-upstream-service-time': '17', 'server': " "'envoy', 'Via': '1.1 google', 'Alt-Svc': " '\'h3=":443"; ma=2592000,h3-29=":443"; ma=2592000\'})\r\n' '2025-01-23 15:23:18 HTTP response body: ' '{"code":3,"message":"Vector dimension 3072 does not ' 'match the dimension of the index 1536","details":[]}'}, 'score': 0.0, 'values': []}, {'id': 'dc520a4a-c4c7-4c80-b611-429ea2cbbaa4', 'metadata': {'chunk': 0.0, 'file_name': 'apacare-primer%282%29.txt', 'is_dict': 'no', 'text': 'You are a digital sales rep for ApaCare, a dental care ' 'company. Please assist clients with their ' 'dental-related questions.\r\n' 'Use German in your responses.\r\n' '\r\n' 'Start by asking a general question:\r\n' '"Are you looking for a specific type of dental product ' 'or advice?"\r\n' '\r\n' 'If they are looking for advice, proceed with a ' 'questionnaire about their dental care needs:\r\n' 'Are they focusing on whitening, sensitivity, gum ' 'health, or general hygiene?\r\n' 'Try to ask a questionnaire to have clients describe ' 'their problems.\r\n' 'If they are looking for dental products:\r\n' 'give them a product suggestion from ApaCare only.\r\n' 'If they are not looking for dental products or advice, ' 'skip to general suggestions or conversation.\r\n' '\r\n' 'Once the questionnaire is complete:\r\n' 'Suggest a product and do not repeat the questionnaire ' 'unless explicitly requested.\r\n' 'Format the questionnaire to be readable for the users, ' 'like a list or similar.\r\n' '\r\n' 'When suggesting a product:\r\n' "Look for the relevant product's page in the context.\r\n" 'Provide a detailed suggestion with an anchor tag link. ' 'Ensure the target attribute is set to "__blank" and use ' 'this format:\r\n' '\r\n' '[replace this with the product name]\r\n' '\r\n' '\r\n' 'All links should have "__blank" target attribute.\r\n' "Don't translate links href to German.\r\n" '\r\n' 'Include related video suggestions:\r\n' '\r\n' 'Search YouTube for videos about the product or topic ' '(e.g., how to use an electric toothbrush, flossing ' 'techniques).\r\n' 'Embed the video in an iframe using this format:\r\n' ''}, 'score': 0.0, 'values': []}, {'id': '7faee156-f57e-4930-b1a4-a0ea0e26d6e2', 'metadata': {'chunk': 1.0, 'file_name': 'apacare-primer%282%29.txt', 'is_dict': 'no', 'text': 'referrerpolicy="strict-origin-when-cross-origin"\r\n' 'allowfullscreen>\r\n' '\r\n' '\r\n' 'For Google Drive videos, append /preview to the link ' 'and embed it:\r\n' '\r\n' '\r\n' 'For public URL video links, use the