🤖 feat: system 1 reasoning + background bash filtering#1843
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@codex review Addressed feedback: System 1 now rebuilds its context messages using the System 1 model’s provider/modelString (re-transform + cache-control) instead of reusing the main provider’s |
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@codex review Addressed feedback: guard against corrupted/non-string |
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@codex review Addressed: System 1 system1Model is now migrated + gateway-transformed (same as main model) in both useSendMessageOptions (reactive applyGatewayTransform) and getSendOptionsFromStorage (toGatewayModel). This makes System 1 filtering work for gateway-only setups. |
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@codex review Please review the changes (System 1 reasoning setting + background bash filtering via bash_output/task_await wrappers). |
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Change-Id: I6cf05ee13f2aacbbf741a159c3c100083b609358 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: Ida73e1657c7e71d45928c8a28c2ce91860be79b0 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I4da76d0cd272fc548f12a3e78b64b7f7bc66695a Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: Idfcd9d3e34c71caa84bbe7d4a454c53eaefc2264 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Adds scripts/system1-noisy-output.ts: a bun/TypeScript utility that emits controlled noisy output containing a single relevant random number. Output is tuned to trigger System 1 bash-output filtering without hitting bash tmpfile overflow. Signed-off-by: Thomas Kosiewski <tk@coder.com> --- _Generated with [`mux`](https://github.com/coder/mux) • Model: `openai:gpt-5.2` • Thinking: `xhigh`_ Change-Id: Ie6d9980b209976689a3a899ee11e80b68e1cb845
Change-Id: I67896db8333e79c234167fc902f130bd86b52f01 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I3a055d66b2f575e60dd7d15724a939f588523c10 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: Ia1bb7d23f3a23f900a740039af7665d844bb49d3 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: Id1537c1a0d194dedc512b14da3a49b885a89b409 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I88a248067537af3654402948fc59286724835415 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I7f8d72a2d25f84ec58b1aca5917394aaa5950e9a Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I20cc0930292cdb9be62d5ffef333cfd63dd32687 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I2c610f2c94a27d87ac1be6619817d8ea8aa02df2 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: Ib3534cf2d3d5e3b1d66f402e068fc3cde581fd09 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: Ia24ec6edfafe6d11b8230535d577f70d5c3549b0 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I71275129d0764d917e61b08c0367ad2073c8415d Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I66eb23b10b56635b53b7df32ec9524d3e10c20b1 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I05877bc1b1d4ddb1ef699b82385baa28166f80b1 Signed-off-by: Thomas Kosiewski <tk@coder.com>
- Ensure process.env.MODE defaults to test so splash screens are disabled in Jest - Add Happy DOM bootstrap + globals (Element, NodeFilter, etc) for Radix Portal/Select - Seed localStorage before App render in createAppHarness and stabilize System 1 policy test Change-Id: Ib2b098179757ca19ec5ec6f98600d7bfbd823d4d Signed-off-by: Thomas Kosiewski <tk@coder.com>
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Change-Id: Ia76d386011a340947837a47e28fd63792c17445d Signed-off-by: Thomas Kosiewski <tk@coder.com>
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Change-Id: I2d3d3e4690efb3ff6ad8220e1cb39e696202d214 Signed-off-by: Thomas Kosiewski <tk@coder.com>
Change-Id: I0f5561a3d09b4a83596a0796b03c420d11a05425 Signed-off-by: Thomas Kosiewski <tk@coder.com>
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Change-Id: Ib6d1d4ca96a66230074ca757cf9b023fc729e984 Signed-off-by: Thomas Kosiewski <tk@coder.com>
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Change-Id: I2180485fbee77c24e00dab60f22f6e873c40f12b Signed-off-by: Thomas Kosiewski <tk@coder.com>
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Summary
Make System 1 bash-output filtering more predictable and consistent by:
off).bash, but also to background output paths (bash_output+task_await).Background
System 1 is used to LLM-filter large bash outputs so the main model doesn’t get flooded with noisy logs. Two gaps remained:
Implementation
preferredSystem1ThinkingLeveland plumbedsystem1ThinkingLevelthroughSendMessageOptions→ backend stream startup.generateText(...)call (viabuildProviderOptions+enforceThinkingPolicy).bash_output+task_awaitso background task chunks and completed reports are filtered consistently.task_awaitresults.Validation
make static-checkbashTaskReport.test.ts)scripts/system1-noisy-output.tsin both single-shot and burst modesRisks
📋 Implementation Plan
System 1 reasoning effort + background bash filtering
Context / Why
System 1 is currently used to LLM-filter large bash outputs so the main model doesn’t get flooded with noisy logs.
Two gaps today:
generateText(...)call does not pass provider thinking/reasoning options (OpenAIreasoningEffort, Anthropicthinkingbudgets, etc.), so it runs at provider defaults (not explicitly “high”).bashruns withrun_in_background: true, System 1 returns early, so latertask_await/bash_outputresults can come back unfiltered and bloat context.We want System 1 to be:
Evidence (what exists today)
System 1 bash filtering wrapper +
generateText(...)call (noproviderOptionspassed):src/node/services/aiService.ts(~1990–2260).Provider-specific reasoning mapping lives in one place:
ThinkingLevel+ mappings (OpenAIreasoning_effort):src/common/types/thinking.ts.buildProviderOptions, sets OpenAIreasoningEffortwhen thinking != off):src/common/utils/ai/providerOptions.ts.Compaction already has:
src/browser/components/Settings/sections/ModelsSection.tsx.src/browser/components/Settings/sections/ModesSection.tsx+src/browser/utils/messages/compactionOptions.ts.Background bash output retrieval:
bash_outputtool:src/node/services/tools/bash_output.ts→backgroundProcessManager.getOutput(...).task_awaittool formats completed bash output intoreportMarkdown:src/node/services/tools/task_await.ts.Dev harness:
scripts/system1-noisy-output.tsgenerates deterministic noisy stdout designed to trip System 1 thresholds (and stay under bash hard limits); extend it to support burst/stream output for background testing.External docs (for semantics of OpenAI reasoning effort):
reasoning_effort: https://platform.openai.com/docs/api-reference/chat/create#chat-create-reasoning_effortApproach A (recommended): Add System 1 reasoning setting (advanced) + filter background outputs
Net LoC estimate (product code only): ~+280 LoC
A1) Product behavior
ThinkingLevelenum: off/low/medium/high/xhigh).off(keeps System 1 fast + avoids hidden cost/latency).ThinkingLevelso OpenAI uses explicitreasoningEffortand Anthropic/Gemini use their explicit thinking configs.Rationale: Compaction is a user-facing quality feature so it makes sense to inherit mode reasoning. System 1 is an internal helper that runs inside tool calls; we should not silently spend “high” reasoning budget unless the user explicitly opts in.
A2) UI + storage plumbing
preferredSystem1Model):PREFERRED_SYSTEM_1_THINKING_LEVEL_KEY = "preferredSystem1ThinkingLevel"insrc/common/constants/storage.ts.src/browser/components/Settings/sections/ModelsSection.tsxto show a dropdown for System 1 reasoning.ThinkingLevelstring; default tooff. Validate withcoerceThinkingLevel.SendMessageOptionsSchemainsrc/common/orpc/schemas/stream.tswithsystem1ThinkingLevel?: ThinkingLevel.src/browser/hooks/useSendMessageOptions.tsto read the persisted setting and include it in options.A3) Backend: apply System 1 reasoning explicitly
system1ThinkingLevel:src/node/services/agentSession.ts→aiService.streamMessage(...)src/node/services/aiService.tssignature + internal wiringconst effectiveSystem1ThinkingLevel = enforceThinkingPolicy(effectiveSystem1ModelString, (options.system1ThinkingLevel ?? "off"))options.thinkingLevel.)previousResponseIdwon’t be set).const system1ProviderOptions = buildProviderOptions(system1.modelString, effectiveSystem1ThinkingLevel, /*messages*/ undefined, /*lost*/ undefined, muxProviderOptions, workspaceId)generateText(...)call:providerOptions: system1ProviderOptions.getContextMessagesForSystem1(...), useanthropicThinkingEnabled: system1ProviderName === "anthropic" && effectiveSystem1ThinkingLevel !== "off".finalMessagesif model matches but thinking differs (especially for Anthropic).A4) Backend: apply System 1 filtering for background output (
bash_output+task_await)aiService.tsinto a reusable helper, e.g.:maybeFilterBashOutputWithSystem1({ output, script, toolName, ... }) -> { output, note? } | nullSYSTEM1_BASH_MIN_LINES,SYSTEM1_BASH_MIN_TOTAL_BYTES) and max kept lines.bash_outputtool intoolsForStreamwhenexperiments.system1 === true:result.success === trueandresult.outputis large, run the helper and return filtered output.task_awaittool similarly:results.taskIdstarts withbash::status === "running"and hasoutput, filter the chunk when it crosses thresholds.status === "completed"and hasreportMarkdown, extract the code-fenced output, filter it, and rebuildreportMarkdown.Implementation detail to keep this robust:
formatBashOutputReport(...)out oftask_await.tsinto a shared util so the wrapper can rebuild markdown without brittle string surgery.A5) Tests (unit, deterministic)
task_await’s bash markdown report.generateText-like dependency so tests can supply a deterministic fake response (no network, no heavy mocks).A6) Manual verification checklist (use
scripts/system1-noisy-output.ts)scripts/system1-noisy-output.tsto support burst/stream mode (for background testing):--bursts <n>and--sleep-ms <n>(no progress output; keep digits only on the secret line).bashtool:bun scripts/system1-noisy-output.ts→ output should be filtered and preserveONLY_RELEVANT_NUMBER=....bashwithrun_in_background: true:bun scripts/system1-noisy-output.ts --bursts 5 --sleep-ms 200.bash_output→ chunks should be filtered.task_await→ completedreportMarkdownshould be filtered + note appended.reasoningEffort).Generated with
mux• Model:openai:gpt-5.2• Thinking:high• Cost: $34.27