agent_action: Prompt-lab work item started
agent_action: Pinned repository checkout verified
agent_action: I’ll first map how this agent is built and where tool calls or retrieval would fit,...
command: /bin/bash -lc 'rg --files'
command: /bin/bash -lc 'rg --files'
command: /bin/bash -lc "find . -maxdepth 2 -type f \\( -name 'package.json' -o -name 'pyproject.toml' -o -name 'requirements*.txt' -o -name 'README*' -o -name '.env*' \\) -print"
command: /bin/bash -lc "find . -maxdepth 2 -type f \\( -name 'package.json' -o -name 'pyproject.toml' -o -name 'requirements*.txt' -o -name 'README*' -o -name '.env*' \\) -print"
command: /bin/bash -lc 'pwd && ls'
command: /bin/bash -lc 'pwd && ls'
agent_action: `rg` isn’t installed in this workspace, so I’m falling back to `find`/`grep`. The r...
command: /bin/bash -lc 'find app components lib hooks -type f | sort'
command: /bin/bash -lc 'find app components lib hooks -type f | sort'
command: /bin/bash -lc "sed -n '1,220p' package.json"
command: /bin/bash -lc "sed -n '1,220p' package.json"
command: /bin/bash -lc "sed -n '1,220p' .env.example"
command: /bin/bash -lc "sed -n '1,220p' .env.example"
command: /bin/bash -lc "sed -n '1,260p' README.md"
command: /bin/bash -lc "sed -n '1,260p' README.md"
agent_action: The project already uses Vercel AI SDK plus OpenAI, and it has domain-specific fina...
command: /bin/bash -lc "sed -n '1,260p' lib/ai/index.ts"
command: /bin/bash -lc "sed -n '1,260p' lib/ai/index.ts"
command: /bin/bash -lc "sed -n '1,260p' 'app/(chat)/api/chat/route.ts'"
command: /bin/bash -lc "sed -n '1,260p' 'app/(chat)/api/chat/route.ts'"
command: /bin/bash -lc "sed -n '1,260p' lib/ai/models.ts"
command: /bin/bash -lc "sed -n '1,260p' lib/ai/models.ts"
command: /bin/bash -lc "sed -n '1,360p' lib/ai/tools/financial-tools.ts"
command: /bin/bash -lc "sed -n '1,360p' lib/ai/tools/financial-tools.ts"
command: /bin/bash -lc "sed -n '1,260p' lib/ai/prompts.ts"
command: /bin/bash -lc "sed -n '1,260p' lib/ai/prompts.ts"
search: Tavily API documentation search extract crawl search_depth include_answer chunks_pe...
search: Perplexity Sonar API documentation search citations recency filter
url: https://docs.tavily.com/documentation/api-reference/endpoint/search
search: Tavily JavaScript SDK docs npm tavily search typescript
search: site:ai-sdk.dev/docs ai sdk streamText tools execute tool calling
agent_action: The existing API route receives user-supplied `modelApiKey` and `financialDatasetsA...
command: /bin/bash -lc "sed -n '1,260p' lib/db/api-keys.ts"
command: /bin/bash -lc "sed -n '1,260p' lib/db/api-keys.ts"
command: /bin/bash -lc "sed -n '1,300p' components/api-keys-modal.tsx"
command: /bin/bash -lc "sed -n '1,300p' components/api-keys-modal.tsx"
command: /bin/bash -lc "sed -n '1,260p' components/chat.tsx"
command: /bin/bash -lc "sed -n '1,260p' components/chat.tsx"
command: /bin/bash -lc "grep -R \"financialDatasetsApiKey\\|modelApiKey\\|OPENAI_API_KEY\\|FINANCIAL_DATASETS\" -n app components lib --exclude-dir=.next"
command: /bin/bash -lc "grep -R \"financialDatasetsApiKey\\|modelApiKey\\|OPENAI_API_KEY\\|FINANCIAL_DATASETS\" -n app components lib --exclude-dir=.next"
url: https://exa.ai/docs/reference/search-api-guide-for-coding-agents
url: https://docs.tavily.com/sdk/javascript/quick-start
url: https://docs.tavily.com/guides/api-credits
agent_action: I have enough context to make the provider call. One important repo-specific constr...
command: /bin/bash -lc "nl -ba lib/ai/tools/financial-tools.ts | sed -n '1,120p'"
command: /bin/bash -lc "nl -ba lib/ai/tools/financial-tools.ts | sed -n '1,120p'"
command: /bin/bash -lc "nl -ba 'app/(chat)/api/chat/route.ts' | sed -n '1,220p'"
command: /bin/bash -lc "nl -ba 'app/(chat)/api/chat/route.ts' | sed -n '1,220p'"
command: /bin/bash -lc "nl -ba lib/ai/index.ts | sed -n '1,80p'"
command: /bin/bash -lc "nl -ba lib/ai/index.ts | sed -n '1,80p'"
command: /bin/bash -lc "nl -ba components/api-keys-modal.tsx | sed -n '1,180p'"
command: /bin/bash -lc "nl -ba components/api-keys-modal.tsx | sed -n '1,180p'"
agent_action: **Provider I’d Choose** Use **Tavily** as the managed web search/retrieval provider...
result: Selected unknown