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perf(think): memoise per-turn tool sets; skip skills refresh on continuations - #2234

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@mattzcarey

@mattzcarey mattzcarey commented Sep 10, 2026

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Problem

_prepareInferenceInvocation rebuilt every tool set on every inference attempt — each new turn, each auto-continuation (client tool result, connection-less continuation, runTurn({ continuation: true })), and each reactive-overflow retry:

createWorkspaceTools, createFetchTools, getTools(), _compileActionTools() (re-iterating getActions() and re-deriving metadata), extensionManager.getTools(), _refreshSkillsIfChanged() (which always called SkillRegistry.refresh() → re-list() every source, then re-projected the workspace, and only then compared fingerprints), context.tools(), _skillRegistry.tools(), MCP getAITools(), client tools.

(Correction to the original premise: proactive compaction does not re-enter this path — it reuses _activeTurnTools. The re-entries are continuations and the overflow retry loop.)

What changed

Set Before After
workspace + fetch rebuilt per attempt built once; keyed on workspace / workspaceBash / fetchTools identities
actions getActions() + compile every attempt getActions() still called every attempt (user hook, may be dynamic); compile memoised per Action descriptor (same tool name + kind). _activeTurnActionMetadata derived from the memo; approval-descriptor map still reset per attempt
extension tools rebuilt per call ExtensionManager.getTools() memoised; dropped on load / restore / unload (execute closures already re-check membership)
context-block tools rebuilt per call ContextBlocks.tools() memoised on block shape (labels + writable + searchable). Content edits / refreshSystemPrompt() keep the set
skill tools rebuilt per call (new z.enum) SkillRegistry.tools() memoised on catalog names + script-runner presence
skills refresh every attempt at most once per intervalMs (default 60s); never on a continuation or an overflow retry of the same request
getTools(), MCP, client tools per attempt unchanged (user hook / documented per-call / per-request executor)

New option on Think:

skillsRefresh: "every-turn" | "on-start" | { intervalMs: number } = { intervalMs: 60_000 };

Default rationale. skills.r2 already indexes with a 60s TTL (refreshIntervalMs), so 60s is the shortest interval at which a refresh can observe anything new from the one remote source we ship; a longer default would only add staleness on top of the R2 TTL without saving a network round-trip. fromManifest is build-time constant, so any interval is free there. "every-turn" remains for hosts with a custom source that has no TTL of its own. Documented in docs/think/index.md; changeset .changeset/quiet-skills-refresh.md (think minor, agents patch).

What a catalog change touches (audit)

When a refresh finds a new fingerprint, Think does exactly three things:

  1. context.refreshSystemPrompt() — re-renders every block and overwrites the persisted frozen prompt. This is the only "rewrite", and it is the intended one: it feeds the next turn's system message.
  2. _configSet("skillsFingerprint", …) — one think_config row.
  3. _configureSkillWorkspace()seedWorkspace() — writes SKILL.md for skills whose file is absent; existing files are preserved (onConflict default).

Nothing walks or rewrites transcript rows. The activate_skill tool result from an earlier turn keeps the old body, and the system prompt an earlier turn was sent is not stored per message, so it cannot be rewritten.

One thing worth knowing, pre-existing and not changed here: with skillWorkspace enabled, a source change updates the catalog prompt but not an already-seeded SKILL.md (preserved by design so user edits win), so activate_skill can serve the old body under the new description until the file is removed or onConflict: "replace" is set.

Numbers (from tool-memo.test.ts)

Turn → continuation → turn with "every-turn":

before after
skill source list() calls (incl. onStart load) 4 3
skill source refresh() calls 3 2
tool objects reused across attempts (workspace / action / skill / context) no yes
getTools() / getActions() calls 3 / 3 3 / 3 (unchanged by design)

Default { intervalMs: 60_000 }: two back-to-back turns → 1 refresh (was 2). "on-start": 0 refreshes.

Skill mutated between turns (ThinkSkillChangeTestAgent): rows persisted before the change are byte-identical afterwards; the v1 body stays in the transcript and v2 never appears in it; model calls saw prompts [v1, v1, v2, v2] — the prefix changed exactly once, on the turn after the refresh, and was stable after that.

Tests

  • packages/think/src/tests/tool-memo.test.ts (+ agents/tool-memo.ts): counters across turn → continuation → turn; identity assertions on built tools; the three policies and the default; the skill-change / persisted-rows test. All fail on main's think.ts.
  • extension-manager.test.ts: getTools() identity across load/unload.
  • agents/src/tests/context/context.test.ts: tools() memo on shape.
  • agents/src/tests/skills.test.ts: tools() identity across refresh with same/changed catalog.
  • Full Think suite green; oxfmt --check ., oxlint, tsc clean.

Open question

Should getTools() get an opt-in static mode? Left alone because the fetchTools docs explicitly promise getTools() runs every turn.

… continuations

_prepareInferenceInvocation rebuilt every tool set on every inference
attempt: each new turn, each auto-continuation after a client tool result,
and each reactive-overflow retry. Workspace, fetch, action, extension,
context-block and skill tools are all pure functions of state that changes
rarely, so they are now built once and reused until that state changes.

- Workspace + fetch tools: built once, keyed on the workspace /
  workspaceBash / fetchTools identities.
- Action tools: getActions() is still consulted every attempt (user hook),
  but compilation is memoised per Action descriptor (same name + kind).
  _activeTurnActionMetadata is derived from the memo; the per-turn approval
  descriptor map is still reset each attempt.
- ExtensionManager.getTools(): memoised, dropped on load / restore / unload.
- ContextBlocks.tools(): memoised on the block shape (labels, writable,
  searchable); content edits and prompt refreshes keep the set.
- SkillRegistry.tools(): memoised on the catalog names + script-runner
  presence, so a refresh that found the same catalog returns the same set.
- Skills refresh: continuations and overflow retries of an in-flight turn
  no longer refresh the catalog. New policy option skillsRefresh:
  "every-turn" (default, unchanged) | "on-start" | { intervalMs }.

Tests count source list/refresh calls and hook calls across a turn, a
continuation and a second turn, and assert tool identity is preserved;
they fail without the think.ts change.
@agent-think

agent-think Bot commented Sep 10, 2026

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🟡 agents import sizes

Measured 336 runtime imports as minified bundles. The primary size is gzip; raw minified size is included for diagnosis. An existing import growing by more than 10% is marked red. This report is informational.

Red Yellow Green Unchanged New Removed
0 2 0 334 0 0

Compared e18d42f4 with 70495f59. Open workflow run.

Changed imports (2)
Status Import Base gzip Head gzip Delta
🟡 agents/context#ContextBlocks 87.4 KiB 87.5 KiB +85 B (+0.09%)
🟡 agents/skills#SkillRegistry 416.4 KiB 416.5 KiB +77 B (+0.02%)
All 336 current runtime imports
Status Import Gzip Raw minified
agents#__DO_NOT_USE_WILL_BREAK__agentContext 258.6 KiB 1130.0 KiB
agents#__DO_NOT_USE_WILL_BREAK__withInvocationScope 258.6 KiB 1130.0 KiB
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agents#AGENT_TOOL_MILESTONE_PART 258.6 KiB 1130.0 KiB
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agents#buildAgentPath 259.1 KiB 1132.3 KiB
agents#buildAgentUrl 259.3 KiB 1132.7 KiB
agents#callable 258.6 KiB 1130.1 KiB
agents#camelCaseToKebabCase 258.6 KiB 1130.0 KiB
agents#createHeaderBasedEmailResolver 258.8 KiB 1130.4 KiB
agents#DEFAULT_AGENT_STATIC_OPTIONS 258.6 KiB 1130.0 KiB
agents#DurableObjectOAuthClientProvider 258.6 KiB 1130.0 KiB
agents#getAgentByName 258.6 KiB 1130.0 KiB
agents#getCurrentAgent 258.6 KiB 1130.0 KiB
agents#getSubAgentByName 258.9 KiB 1130.7 KiB
agents#isDurableObjectCodeUpdateReset 258.6 KiB 1130.0 KiB
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agents#SqlError 258.6 KiB 1130.0 KiB
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agents/browser#BrowserRenderingError 36.0 KiB 126.7 KiB
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agents/browser#browserScreenshot 36.3 KiB 127.3 KiB
agents/browser#browserSnapshot 36.3 KiB 127.4 KiB
agents/browser#CdpSession 37.2 KiB 129.8 KiB
agents/browser#CodemodeRuntime 39.6 KiB 139.0 KiB
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agents/browser#createBrowserSession 36.3 KiB 127.5 KiB
agents/browser#DEFAULT_EXEC_SWEEP_IDLE_MS 36.0 KiB 126.6 KiB
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agents/browser#DurableBrowserSessionStore 36.4 KiB 127.6 KiB
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agents/channels/voice#browserVoice 1010 B 2.2 KiB
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agents/chat#AgentToolProgressEmitter 2.7 KiB 9.5 KiB
agents/chat#AgentToolStreamProgressThrottle 2.4 KiB 8.3 KiB
agents/chat#aiSdkRecoveryCodec 2.3 KiB 8.2 KiB
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agents/chat#applyChunkToParts 2.3 KiB 8.2 KiB
agents/chat#applyToolUpdate 2.4 KiB 8.4 KiB
agents/chat#AutoContinuationController 2.3 KiB 8.2 KiB
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agents/chat#DEFAULT_CHAT_RECOVERY_MAX_WORK 2.3 KiB 8.2 KiB
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agents/chat#DEFAULT_CHAT_RECOVERY_STABLE_TIMEOUT_MS 2.3 KiB 8.2 KiB
agents/chat#DEFAULT_CHAT_RECOVERY_TERMINAL_MESSAGE 2.4 KiB 8.3 KiB
agents/chat#dispatchChatRecoveryToHandoff 3.0 KiB 9.9 KiB
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agents/chat#hasIncompleteToolBatch 2.4 KiB 8.6 KiB
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agents/chat#isReplayChunk 2.4 KiB 8.7 KiB
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agents/chat#KV_DELETE_MAX_KEYS 2.3 KiB 8.2 KiB
agents/chat#listActiveChatRecoveryIncidents 2.4 KiB 8.4 KiB
agents/chat#MAX_BOUND_PARAMS 2.3 KiB 8.2 KiB
agents/chat#MessageType 2.4 KiB 9.0 KiB
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agents/chat#repairInterruptedToolParts 2.6 KiB 9.1 KiB
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agents/chat-sdk#ChatSdkStateAdapter 261.0 KiB 1141.6 KiB
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agents/chat/react#getAgentMessages 3.4 KiB 8.6 KiB
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agents/chat/react#getToolCallId 3.1 KiB 8.0 KiB
agents/chat/react#getToolInput 3.1 KiB 8.0 KiB
agents/chat/react#getToolOutput 3.1 KiB 8.0 KiB
agents/chat/react#getToolPartState 3.2 KiB 8.2 KiB
agents/chat/react#useAgentChat 132.9 KiB 609.7 KiB
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🟡 agents/context#ContextBlocks 87.5 KiB 430.0 KiB
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agents/voice#WorkersAINova3STT 1.6 KiB 4.3 KiB
agents/voice#WorkersAITTS 682 B 1.4 KiB
agents/voice/client#VOICE_PROTOCOL_VERSION 473 B 768 B
agents/voice/client#VoiceClient 10.1 KiB 31.6 KiB
agents/voice/client#WebSocketVoiceTransport 4.6 KiB 13.3 KiB
agents/voice/errors#logVoiceError 132 B 173 B
agents/voice/errors#toVoiceError 94 B 80 B
agents/voice/errors#voiceErrorMessage 125 B 111 B
agents/voice/errors#VoiceProviderError 190 B 345 B
agents/voice/react#useVoiceAgent 13.6 KiB 42.5 KiB
agents/voice/react#useVoiceInput 13.3 KiB 41.4 KiB
agents/voice/react#WebSocketVoiceTransport 7.4 KiB 21.3 KiB
agents/voice/sfu#addSFUTracks 323 B 424 B
agents/voice/sfu#createSFUSession 254 B 306 B
agents/voice/sfu#createSFUWebSocketAdapter 329 B 429 B
agents/voice/sfu#decodeVarint 155 B 160 B
agents/voice/sfu#downsample48kStereoTo16kMono 236 B 324 B
agents/voice/sfu#encodePayloadToProtobuf 188 B 279 B
agents/voice/sfu#encodeVarint 129 B 122 B
agents/voice/sfu#extractPayloadFromProtobuf 270 B 425 B
agents/voice/sfu#renegotiateSFUSession 329 B 428 B
agents/voice/sfu#sfuFetch 292 B 358 B
agents/voice/sfu#upsample16kMonoTo48kStereo 209 B 272 B
agents/voice/text#iterateText 1.6 KiB 3.8 KiB
agents/voice/text#SentenceChunker 549 B 1.1 KiB
agents/voice/types#VOICE_PROTOCOL_VERSION 51 B 31 B
agents/voice/workers-ai#WorkersAIFluxSTT 1.5 KiB 4.3 KiB
agents/voice/workers-ai#WorkersAINova3STT 1.6 KiB 4.3 KiB
agents/voice/workers-ai#WorkersAITTS 682 B 1.4 KiB
agents/websockets#CALLABLES_RPC_QUERY 12.4 KiB 43.3 KiB
agents/websockets#CALLABLES_RPC_VALUE 12.4 KiB 43.3 KiB
agents/websockets#callablesFromDecorated 12.7 KiB 44.3 KiB
agents/websockets#callablesRpcUrl 12.5 KiB 43.5 KiB
agents/websockets#isCallablesRpcUpgrade 12.4 KiB 43.4 KiB
agents/websockets#WebSockets 17.7 KiB 62.2 KiB
agents/workflows#AgentWorkflow 260.0 KiB 1134.8 KiB
agents/workflows#WorkflowRejectedError 258.7 KiB 1130.2 KiB
agents/x402#normalizeNetwork 14.7 KiB 61.1 KiB
agents/x402#withX402 23.0 KiB 89.2 KiB
agents/x402#withX402Client 104.1 KiB 346.5 KiB

Reported by agent-think[bot].

…atalog changes never rewrite persisted rows

Default skillsRefresh is now { intervalMs: 60_000 }, matching the skills.r2
index TTL; "every-turn" stays available as an explicit option. Adds a
changeset and a test that mutates a skill source between turns and asserts
rows persisted before the change are byte-identical afterwards, the old
skill body stays in the transcript, and the system prompt changes exactly
once (for the next turn) and is then stable.
@changeset-bot

changeset-bot Bot commented Sep 10, 2026

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🦋 Changeset detected

Latest commit: 70495f5

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 3 packages
Name Type
@cloudflare/think Minor
agents Patch
@cloudflare/agent-think Patch

Not sure what this means? Click here to learn what changesets are.

Click here if you're a maintainer who wants to add another changeset to this PR

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commit: 70495f5

@mattzcarey

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Closing after review: the skills refresh this skips is already TTL-guarded and fingerprint-guarded, so the saving is speculative; the action memo never hits for inline action() construction; and public methods would return a shared mutable ToolSet under a patch bump.

@mattzcarey mattzcarey closed this Sep 14, 2026
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