mirror of
https://github.com/langbot-app/LangBot.git
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huanghuoguoguo
72 lines
2.6 KiB
YAML
72 lines
2.6 KiB
YAML
id: local-agent-basic-debug-chat
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title: "Local Agent Debug Chat returns a deterministic streaming response"
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mode: agent-browser
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area: pipeline
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type: smoke
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priority: p0
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risk: medium
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ci_eligible: false
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tags:
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- local-agent
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- pipeline
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- streaming
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skills:
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- langbot-env-setup
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- langbot-testing
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env:
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- LANGBOT_FRONTEND_URL
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- LANGBOT_BACKEND_URL
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- LANGBOT_LOCAL_AGENT_PIPELINE_URL
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- LANGBOT_LOCAL_AGENT_PIPELINE_NAME
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automation: scripts/e2e/pipeline-debug-chat.mjs
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automation_env:
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- LANGBOT_FRONTEND_URL
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- LANGBOT_BROWSER_PROFILE
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- LANGBOT_CHROMIUM_EXECUTABLE
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- LANGBOT_LOCAL_AGENT_PIPELINE_URL
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- LANGBOT_LOCAL_AGENT_PIPELINE_NAME
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automation_pipeline_url_env: LANGBOT_LOCAL_AGENT_PIPELINE_URL
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automation_pipeline_name_env: LANGBOT_LOCAL_AGENT_PIPELINE_NAME
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automation_prompt: "请只回复 OK，用于前端调试测试。"
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automation_expected_text: "OK"
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setup_automation:
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- "node:scripts/e2e/ensure-local-agent-pipeline.mjs --write-env"
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setup_provides_env:
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- LANGBOT_LOCAL_AGENT_PIPELINE_URL
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- LANGBOT_LOCAL_AGENT_PIPELINE_NAME
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steps:
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- "Open LANGBOT_FRONTEND_URL."
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- "Navigate to Pipelines and open the target local-agent pipeline."
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- "Open Configuration > AI."
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- "Use runner Default or the pluginized langbot-team/LocalAgent runner."
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- "Select a model that is known to answer Debug Chat in the current environment."
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- "Clear Knowledge Bases unless this run intentionally combines RAG with the smoke path."
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- "Save the pipeline."
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- "Open Debug Chat."
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- "Ensure the stream switch is enabled when the UI exposes it."
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- "Send: 请只回复 OK，用于前端调试测试。"
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checks:
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- "UI: The user message appears in Debug Chat."
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- "UI: A Bot message appears and contains OK."
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- "Console: No unexpected frontend runtime errors appear during the send/receive path."
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- "Logs: Backend logs show the debug chat request completed on the streaming path instead of timing out in plugin/runtime calls."
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evidence_required:
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- ui
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- screenshot
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- console
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- backend_log
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diagnostics:
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- "Provider errors such as model_not_found or no available channel mean the selected model is unavailable; switch to a known-good model before diagnosing local-agent."
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- "Use GET /api/v1/pipelines/{uuid} only to confirm the saved runner and model config."
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success_patterns:
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- "Processing request from person_websocket"
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- "Streaming completed"
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failure_patterns:
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- "Action invoke_llm_stream call timed out"
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- "Task exception was never retrieved"
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- "survey widget blocks debug chat"
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troubleshooting:
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- plugin-runtime-timeout
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- proxy-env-mismatch
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- survey-widget-blocks-debug-chat
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