haoyiyin

Run

haoyiyin/basjoo

Full Run Trace

Duration

75.7s

Spans

100%

0ms

12.6s

25.2s

37.9s

50.5s

63.1s

75.7s

Selected span

run

0ms - 75.7s

The full run envelope begins when the sandbox execution starts and ends when the simulation result is classified.

Type

root

Status

completed

Duration

75.7s

Source

run

Commands

Not materialized for this span.

URLs Fetched

Not materialized for this span.

Changed Files

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Diff Preview

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Artifacts

product-sim/v1/companies/linkup/runs/linkup-remaining-batch-20260605-214326/groups/group-linkup-remaining-batch-20260605-214326-11/items/item-linkup-remaining-batch-20260605-214326-35/attempts/1/cleanup-report.json

Logs

agent_action: Prompt-lab work item started

agent_action: Pinned repository checkout verified

agent_action: I’ll first read the repository guidance and the LLM/RAG paths so the provider recom...

command: /bin/bash -lc "pwd && rg --files -g 'AGENTS.md' -g 'CLAUDE.md' -g 'README.md' -g 'backend/services/*.py' -g 'backend/api/**/*.py' -g 'frontend-nextjs/src/**/*.ts' -g 'frontend-nextjs/src/**/*.tsx'"

command: /bin/bash -lc "sed -n '1,220p' AGENTS.md"

command: /bin/bash -lc "sed -n '1,220p' CLAUDE.md"

command: /bin/bash -lc "sed -n '1,240p' README.md"

agent_action: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. The ...

command: /bin/bash -lc "sed -n '1,260p' backend/services/llm_service.py"

command: /bin/bash -lc "find backend -maxdepth 3 -type f \\( -name '*.py' -o -name 'requirements*.txt' \\) | sort | sed -n '1,220p'"

command: /bin/bash -lc "sed -n '1,280p' backend/services/kb_retrieval_service.py"

command: /bin/bash -lc "sed -n '1,260p' backend/config.py"

agent_action: The codebase already has two distinct concepts: chat-completion providers for answe...

command: /bin/bash -lc "grep -n \"class .*LLM\\|def get_llm\\|provider\\|chat_completion\" backend/services/llm_service.py | sed -n '1,220p'"

command: /bin/bash -lc "grep -R \"KbRetrievalService\\|retrieve(\" -n backend/api backend/services backend/tests | sed -n '1,180p'"

command: /bin/bash -lc "sed -n '260,620p' backend/services/llm_service.py"

command: /bin/bash -lc "sed -n '1,360p' backend/api/v1/endpoints.py"

agent_action: I’ve found the chat request builder calls KB retrieval before model streaming, so t...

command: /bin/bash -lc "sed -n '800,940p' backend/api/v1/endpoints.py"

command: /bin/bash -lc "sed -n '1500,1608p' backend/api/v1/endpoints.py"

command: /bin/bash -lc 'grep -n "class Agent" -A170 backend/models.py'

command: /bin/bash -lc "grep -R \"sources\\|context\\|fallback\\|restricted_reply\" -n backend/tests/test_chat_kb_retrieval.py backend/tests/test_chat_kb_integration.py backend/tests/test_v1_endpoints.py | sed -n '1,220p'"

command: /bin/bash -lc "sed -n '620,800p' backend/api/v1/endpoints.py"

command: /bin/bash -lc "grep -n \"def replace_source_placeholders\\|sources\" backend/api/v1/endpoints.py | sed -n '1,240p'"

command: /bin/bash -lc "sed -n '940,1240p' backend/api/v1/endpoints.py"

command: /bin/bash -lc "sed -n '1,120p' backend/tests/test_v1_endpoints.py"

agent_action: A useful detail: the endpoint has a `sources` field and placeholder rewriting, but ...

command: /bin/bash -lc "sed -n '460,540p' backend/api/v1/endpoints.py"

command: /bin/bash -lc "sed -n '1240,1448p' backend/api/v1/endpoints.py"

command: /bin/bash -lc "sed -n '1,220p' backend/requirements.txt"

command: /bin/bash -lc "grep -R \"api_key\\|provider_type\\|embedding_provider\\|AgentUpdateRequest\" -n frontend-nextjs/src/views frontend-nextjs/src/components frontend-nextjs/src/services/api.ts | sed -n '1,220p'"

search: Tavily API documentation search extract AI agents official docs

url: https://docs.tavily.com/

url: https://docs.tavily.com/documentation/api-reference/endpoint/extract

url: https://api-dashboard.search.brave.com/documentation/services/llm-context

url: https://docs.tavily.com/documentation/api-reference/endpoint/search

url: https://docs.exa.ai/reference/search

search: OpenAI web search tool Responses API documentation official

agent_action: The external-doc check is done. I consulted current official docs for Tavily, Exa, ...

command: /bin/bash -lc "nl -ba backend/api/v1/endpoints.py | sed -n '480,530p'"

command: /bin/bash -lc "nl -ba backend/api/v1/endpoints.py | sed -n '840,930p'"

command: /bin/bash -lc "nl -ba backend/services/kb_retrieval_service.py | sed -n '1,120p'"

command: /bin/bash -lc "nl -ba backend/config.py | sed -n '85,125p'"

agent_action: I’m wrapping the recommendation now. My bias is toward a provider that is model-neu...

command: /bin/bash -lc "nl -ba backend/services/llm_service.py | sed -n '751,890p'"

command: /bin/bash -lc "nl -ba backend/models.py | sed -n '82,160p'"

command: /bin/bash -lc "nl -ba backend/requirements.txt | sed -n '1,45p'"

url: https://docs.perplexity.ai/docs/sonar/quickstart

agent_action: **Provider Choice** I’d choose **Tavily**, specifically **Tavily Search API + Tavil...

result: Selected unknown

Agent Access Graph

Decision-axis graph for the exact point where the agent stayed on path or diverged.

Agentcodex

Events9

Outcomecompetitor

observed access pathtavily followed 9 parsed web access event(s).

Runs

Find

Run

Agent Access Graph

Runs

Run

Agent Access Graph