agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I’ll first read the repo guidance and the relevant backend chat/RAG paths so the re...
command: /bin/bash -lc "sed -n '1,240p' CLAUDE.md"
command: /bin/bash -lc "sed -n '1,240p' CLAUDE.md"
command: /bin/bash -lc "pwd && rg --files -g 'AGENTS.md' -g 'CLAUDE.md' -g 'README.md' -g 'backend/**/*.py' -g 'frontend-nextjs/src/services/api.ts' -g 'frontend-nextjs/src/views/**/*.tsx' | head -200"
command: /bin/bash -lc "pwd && rg --files -g 'AGENTS.md' -g 'CLAUDE.md' -g 'README.md' -g 'backend/**/*.py' -g 'frontend-nextjs/src/services/api.ts' -g 'frontend-nextjs/src/views/**/*.tsx' | head -200"
command: /bin/bash -lc "sed -n '1,240p' AGENTS.md"
command: /bin/bash -lc "sed -n '1,240p' AGENTS.md"
command: /bin/bash -lc "sed -n '1,220p' README.md"
command: /bin/bash -lc "sed -n '1,220p' README.md"
agent_action: `rg` is not installed in this container, so I’m falling back to `find`/`grep`. The ...
command: /bin/bash -lc "find backend -type f -name '*.py' | sort | sed -n '1,240p'"
command: /bin/bash -lc "find backend -type f -name '*.py' | sort | sed -n '1,240p'"
command: /bin/bash -lc "grep -R \"class .*LLM\\|def .*chat\\|stream\\|retrieval\\|knowledge\\|source\" -n backend/services backend/api/v1 backend/models.py | sed -n '1,260p'"
command: /bin/bash -lc "grep -R \"class .*LLM\\|def .*chat\\|stream\\|retrieval\\|knowledge\\|source\" -n backend/services backend/api/v1 backend/models.py | sed -n '1,260p'"
command: /bin/bash -lc "sed -n '1,280p' backend/services/kb_retrieval_service.py"
command: /bin/bash -lc "sed -n '1,280p' backend/services/kb_retrieval_service.py"
command: /bin/bash -lc "sed -n '1,260p' backend/services/llm_service.py"
command: /bin/bash -lc "sed -n '1,260p' backend/services/llm_service.py"
agent_action: I found the current grounding path: chat preparation retrieves tenant-scoped Qdrant...
command: /bin/bash -lc "sed -n '450,930p' backend/api/v1/endpoints.py"
command: /bin/bash -lc "sed -n '450,930p' backend/api/v1/endpoints.py"
command: /bin/bash -lc "sed -n '1080,1465p' backend/api/v1/endpoints.py"
command: /bin/bash -lc "sed -n '1080,1465p' backend/api/v1/endpoints.py"
command: /bin/bash -lc "sed -n '1,240p' backend/config.py && sed -n '1,180p' backend/services/url_safety.py"
command: /bin/bash -lc "sed -n '1,240p' backend/config.py && sed -n '1,180p' backend/services/url_safety.py"
command: /bin/bash -lc "sed -n '120,240p' backend/models.py && sed -n '340,395p' backend/models.py && sed -n '527,620p' backend/models.py"
command: /bin/bash -lc "sed -n '120,240p' backend/models.py && sed -n '340,395p' backend/models.py && sed -n '527,620p' backend/models.py"
search: Tavily API data retention no training customer data enterprise privacy docs
search: site:docs.exa.ai privacy security data retention Exa API no training
search: Brave Search API LLM context API documentation web grounding full text snippets
url: https://help.tavily.com/articles/4205958832-understanding-the-allow-use-of-query-data-setting
url: https://docs.tavily.com/api-reference/introduction
search: Microsoft Bing Search API retirement date privacy data retention Bing Search Servic...
search: Linkup API security privacy data retention no training SOC 2 docs
search: OpenAI API data retention no training customer data default Enterprise privacy docs...
search: OpenAI API data retention no training customer data default Enterprise privacy docs
search: 'Zero data retention' in https://platform.openai.com/docs/guides/tools-web-search?a...
url: https://platform.openai.com/docs/guides/your-data
search: 'retained for up to 30 days' in https://platform.openai.com/docs/guides/your-data
agent_action: I’m comparing providers on the non-negotiables first: contractual retention, whethe...
command: /bin/bash -lc "nl -ba backend/api/v1/endpoints.py | sed -n '489,538p;734,925p;1204,1305p'"
command: /bin/bash -lc "nl -ba backend/api/v1/endpoints.py | sed -n '489,538p;734,925p;1204,1305p'"
command: /bin/bash -lc "nl -ba backend/services/kb_retrieval_service.py | sed -n '1,140p'"
command: /bin/bash -lc "nl -ba backend/services/kb_retrieval_service.py | sed -n '1,140p'"
command: /bin/bash -lc "nl -ba backend/config.py | sed -n '90,145p'"
command: /bin/bash -lc "nl -ba backend/config.py | sed -n '90,145p'"
command: /bin/bash -lc "nl -ba backend/models.py | sed -n '160,214p;360,382p'"
command: /bin/bash -lc "nl -ba backend/models.py | sed -n '160,214p;360,382p'"
url: https://docs.linkup.so/pages/security-and-privacy/security
url: https://brave.com/search/api/
url: https://api-dashboard.search.brave.com/documentation/services/llm-context
url: https://exa.ai/docs/reference/security
agent_action: I’d choose **Linkup Enterprise, with ZDR enabled, using `searchResults` output as t...
result: Selected unknown