{
"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'
'\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