mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-08-22 02:07:13 +00:00
huanghuoguoguo
5b2826fa49
* Add performance and reliability QA gates * test(skills): prepare user path performance gate * test(skills): add debug chat load gate * test(skills): extend fake provider load profiles * test(skills): add debug chat timing and isolation probes * test(skills): clarify manual QA perf gates
82 lines
3.4 KiB
YAML
82 lines
3.4 KiB
YAML
id: langbot-fake-provider-debug-chat-load
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title: "LangBot Debug Chat controlled fake-provider load probe"
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mode: probe
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area: performance
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type: performance
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priority: p1
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risk: medium
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ci_eligible: false
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tags:
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- performance
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- debug-chat
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- websocket
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- fake-provider
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- load
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- metrics
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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_BACKEND_URL
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- LANGBOT_FRONTEND_URL
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- LANGBOT_E2E_LOGIN_USER
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automation: skills/langbot-testing/probes/langbot-debug-chat-concurrency.mjs
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automation_env:
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- LANGBOT_BACKEND_URL
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- LANGBOT_E2E_LOGIN_USER
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- LANGBOT_FAKE_PROVIDER_PIPELINE_URL
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- LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
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automation_pipeline_url_env: LANGBOT_FAKE_PROVIDER_PIPELINE_URL
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automation_pipeline_name_env: LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
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automation_debug_chat_load_requests: "12"
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automation_debug_chat_load_concurrency: "4"
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automation_debug_chat_load_timeout_ms: "30000"
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automation_debug_chat_load_response_p95_ms: "5000"
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automation_debug_chat_load_first_response_p95_ms: "3000"
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automation_debug_chat_load_max_error_rate: "0"
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automation_debug_chat_load_expected_prefix: "FAKEQA"
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automation_debug_chat_load_prompt_template: '请只回复 "{expected}"，不要解释，不要添加其他字符。'
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automation_debug_chat_load_stream: "true"
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automation_debug_chat_load_reset: "true"
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metrics_thresholds_json: '{"response_p95_ms":{"max":5000},"first_response_p95_ms":{"max":3000},"error_rate":{"max":0}}'
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load_profile_json: '{"requests":12,"concurrency":4,"path":"Pipeline Debug Chat WebSocket","provider":"controlled fake OpenAI-compatible provider","metric":"send-to-final-assistant-response"}'
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setup_automation:
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- "node:scripts/e2e/ensure-fake-provider-pipeline.mjs --write-env"
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setup_provides_env:
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- LANGBOT_FAKE_PROVIDER_URL
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- LANGBOT_FAKE_PROVIDER_BASE_URL
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- LANGBOT_FAKE_PROVIDER_PID
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- LANGBOT_FAKE_PROVIDER_PROVIDER_UUID
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- LANGBOT_FAKE_PROVIDER_MODEL_UUID
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- LANGBOT_FAKE_PROVIDER_PIPELINE_URL
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- LANGBOT_FAKE_PROVIDER_PIPELINE_NAME
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steps:
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- "Start or reuse the local fake OpenAI-compatible provider."
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- "Create or update the LangBot provider, model, and local-agent pipeline that points at the fake provider."
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- "Reset the target Debug Chat session."
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- "Open concurrent WebSocket Debug Chat connections and send unique deterministic prompts through the real backend pipeline."
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checks:
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- "automation-result.json status is pass when every request receives its own expected assistant response."
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- "metrics_summary includes request count, concurrency, p50/p95 response latency, first response latency, throughput, and error rate."
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- "thresholds_summary shows response_p95_ms, first_response_p95_ms, and error_rate pass."
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evidence_required:
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- metrics
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- network
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- api_diagnostic
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- filesystem
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diagnostics:
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- "This probe removes external model latency from the measurement; it still exercises the live LangBot backend, provider requester, local-agent runner, pipeline, and Debug Chat WebSocket adapter."
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- "Use this as the repeatable message-path baseline before comparing against Space or another real provider."
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success_patterns:
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- "Debug Chat WebSocket concurrency probe passed"
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- "Streaming completed"
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failure_patterns:
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- "WebSocket connection error"
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- "Timed out after"
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- "Final assistant response did not include"
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- "All models failed during streaming setup"
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troubleshooting:
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- backend-not-listening
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- debug-chat-history-contaminates-automation
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- local-agent-model-route-unavailable
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