fix(voice): stop working through a keyhole, and show the work - #2407
Conversation
THE TRUNCATION. `formatToolResult` cut every tool result to 700 characters before the model saw it, on the reasoning that a spoken answer cannot be skimmed. That is true, and it is a rule about what the model SAYS. This is what it KNOWS, and starving it is why a call could not do its job: - `tool_search` answers with JSON Schemas. A keyword like "calendar" matches enough tools to run past 5,000 characters; sliced at 700 it arrived cut mid-object, so the model could not build the `execute_tool` call it had just gone looking for. It guessed parameters, failed validation, and tried again. That loop is what "it doesn't navigate tool calls" looked like from outside. - `read_page` returned the first 700 characters of a document — neither a summary nor enough to edit from, since `replace_lines` works off line numbers in a full read. - `list_pages` was cut off, so "find my document" failed whenever the document sorted late. The typed surface caps tool results nowhere, and it is the same agent. Where a result really is too large to want whole, the TOOL says so — `read_page` takes lineStart/lineEnd — which is a judgement the model can make with the page in front of it and a blanket cap never could. Brevity is still required, and is still enforced where it belongs: the spoken override asks for two or three sentences a turn. THE SILENCE, first half. Nothing showed what the model was doing between "let me check that" and the answer. It turns out the display seam was already built and simply never connected: `ToolActivity`, a `tool` action, a reducer case and `VoiceCallBar` rendering it all existed, and nothing in production ever dispatched it — `state.tools` was permanently empty. The browser has also been receiving the `response.done` frames on its own data channel the whole time. So the reducer now reads them itself and the action is gone. `tools` becomes `activeTools`: what is running NOW, not a log. That distinction is load-bearing — the status line prefers a tool over everything else, so an append-only list would have pinned the bar on the first tool of the call forever. It clears when the model speaks again, which bounds it to exactly the silent window. Labels come from the table the thread already uses, moved to lib/ai/tools/ tool-labels.ts because a pure reducer cannot import from components/. The port is faithful on purpose, including the field order and trimming only `query`. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
Voice ran tools and left no trace of it. The thread recorded only what was SAID, so a spoken turn was an answer with nothing between the question and it, and the call bar showed nothing at all — which is what "it says it'll do something and then goes silent" actually was. Two surfaces, because they answer different questions. LIVE, IN THE CALL BAR. Client-side and free: the browser already holds its own data channel to OpenAI and already forwards every frame into the reducer, so the reducer now reads the function calls out of `response.done` itself. No server hop, no contract, nothing to wait for. DURABLE, IN THE THREAD. A new bridge kind in two phases. `tool_started` creates the row as a spinner and answers with its id; `tool_finished` names that same id so the repository UPDATES it into a result. That convergence is not new code: `appendPart` already replaces a tool part by `toolCallId`, and `emitAfterSave` already emits messageUpdated for a row that existed. The part is the exact shape `chunkToPart` emits, so the renderer, the socket payload and the reload path all accept it without knowing voice exists. NEITHER WRITE IS ON THE MODEL'S PATH. The caller is already sitting through the tool; a row nobody is waiting for must not be added to that wait. The started write goes out unawaited, the model's answer is sent the moment the tool returns, and only the finish chains — on the started write's promise, never on the tool. Ordering is the one thing that has to hold: both writes name the same row, so a finish that landed first would create it as a result and then be overwritten back into a spinner. The conversation resolution, the access check and the global-versus-page attribution are `persistVoiceTranscript`'s, deliberately. Those decisions are security-relevant and there must not be a second copy of them that a spoken tool call takes instead. Also fixes the landmine that made this dangerous to add: the bridge handler narrowed `kind === 'tool'` and then FELL THROUGH to the transcript write, so a new kind would have been silently persisted as a spoken turn. It is exhaustive now, with a drift guard that drives every member of the schema through the handler — mutation-checked by restoring the fallthrough. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
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📝 WalkthroughWalkthroughVoice calls now persist live tool activity, show active work in the call bar and conversation, retain activity for later views, and return complete tool results with explicit failure status. ChangesVoice tool activity flow
Estimated code review effort: 4 (Complex) | ~45 minutes Mergeability Score: ⚪ Minimal · up to The change removes voice tool-result truncation and adds live and durable tool progress updates; no actionable merge-blocking risk remains based on the supplied evidence, so it is merge-ready after normal checks and review. Sequence Diagram(s)sequenceDiagram
participant VoiceCallRuntime
participant ToolDispatch
participant handleVoiceBridgeRequest
participant persistVoiceToolActivity
participant VoiceCallBar
VoiceCallRuntime->>handleVoiceBridgeRequest: persist tool_started
handleVoiceBridgeRequest->>persistVoiceToolActivity: create running activity
VoiceCallRuntime->>ToolDispatch: dispatch tool call
ToolDispatch-->>VoiceCallRuntime: return output and failed status
VoiceCallRuntime->>handleVoiceBridgeRequest: persist tool_finished
handleVoiceBridgeRequest->>persistVoiceToolActivity: update activity row
VoiceCallBar->>VoiceCallBar: display active tool status
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| export const formatToolResult = (value: unknown): string => { | ||
| const text = typeof value === 'string' ? value : safeStringify(value); | ||
| const trimmed = text.trim(); | ||
| if (trimmed.length === 0) return 'Done.'; | ||
| if (trimmed.length <= maxChars) return trimmed; | ||
|
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||
| const window = trimmed.slice(0, maxChars); | ||
| const lastSpace = window.lastIndexOf(' '); | ||
| const head = (lastSpace > 0 ? window.slice(0, lastSpace) : window).trimEnd(); | ||
| const omitted = trimmed.length - head.length; | ||
| // The continuation hint is for the MODEL, not the user: it is what turns a | ||
| // cut-off result into "I can read you the rest if you want" instead of the | ||
| // model asserting the content ended there. | ||
| return `${head}… (${omitted} more characters were not read out; call the tool again for a specific part if the user asks for more.)`; | ||
| return trimmed.length === 0 ? 'Done.' : trimmed; |
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When a tool returns a large value, this now forwards the entire result even though the realtime session has a 32k-token context shared with its seed, audio, and prior turns (documented in apps/web/src/lib/ai/realtime/__tests__/system-context.test.ts). For example, read_page without lineEnd returns every line of an arbitrarily large document, so one function output can exhaust the context before the model can respond or request a narrower range. Replace the removed 700-character keyhole with a substantially larger context-aware bound and a continuation signal rather than leaving this unbounded.
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You were right, and measuring made the case stronger than the review did. Fixed in b240c98.
I removed the cap because a 700-character keyhole was the bug this PR exists to fix — tool_search schemas arrived sliced mid-object, so the model could not build the execute_tool call it had just gone looking for. But "the old bound was wrong" is not "no bound", and you are right that a function_call_output stays in a 32k session shared with the seed, the instructions and the audio.
What I measured against the real registry:
| query | chars |
|---|---|
select:create_task,update_task |
7,084 |
"calendar" |
21,618 |
"page" |
42,428 |
"a" |
89,296 |
So tool_search is a worse offender than read_page: a one-letter query is ~22k tokens on its own, most of the session, in a single call.
My first instinct was the codebase's existing MAX_CONTENT_CHARS_PER_PAGE = 8000 (page-read-tools.ts:41), which already does truncate-and-report for this exact class of problem. But 8k would have re-broken the original bug, since a "calendar" lookup is 21k.
So the ceiling is set where the path the model is actually instructed to take survives whole. TOOL_DISCOVERY_PROMPT says to call tool_search("select:name") for a schema before calling a tool — ~7k for two tools. 12,000 characters (~3k tokens) keeps that and an ordinary page read intact, and cuts only the broad keyword dump the model never needed in full. The continuation hint names both escape routes, because they are the two shapes that actually get cut:
[N characters were not returned. Ask again more narrowly — tool_search("select:exact_name") for one tool's schema, or read_page with lineStart/lineEnd for the rest of a page.]
Tests cover both sides: a select: lookup comes back parseable with every schema intact, and a one-letter search is cut with the hint present.
Worth noting as a follow-up rather than something I did here: tool_search has MAX_SKILL_MATCHES = 10 for skills but no cap on tool matches, which is why a broad query can reach 89k at source. Capping matches there would give bounded, well-formed results instead of truncated JSON, and would help the typed surface too. That is a shared tool and out of this PR's scope.
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Follow-up on the hint wording, since I quoted the earlier version above.
It led with tool_search("select:…") and read_page's line ranges, which only help if the result that got cut was one of those. The results that actually hit the ceiling are usually a listing or a broad search — and for those the hint offered nothing actionable. Reworded in 80083d4 to lead with the general instruction and keep the specific escapes after it:
[N characters were not returned. Ask again for less: a narrower query or filter, an exact name via tool_search("select:name"), or a line range via read_page's lineStart/lineEnd.]
| const dispatched = response.ok && response.kind === 'tool'; | ||
| const output = dispatched | ||
| ? response.output |
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When a known tool has invalid parameters, lacks an executor, or throws, dispatchRealtimeToolCall intentionally converts that failure into a normal ok: true, kind: 'tool' response containing an explanatory string. Consequently dispatched is true here and the finish request omits errorText, so persistVoiceToolActivity stores the failed invocation as output-available and the thread renders a success state. The bridge response needs to distinguish execution success from the transport-level success required to unblock the model.
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Correct, and this was the sharpest finding on the PR — thank you. Fixed in b240c98.
The trap is exactly as you describe: every failure path in dispatchRealtimeToolCall deliberately returns a normal ok: true carrying a speakable sentence, because the model is blocked on function_call_output until it gets one. So "the hop worked" was being read as "the tool worked", and a permission error, an unknown tool, bad arguments or a throw all got filed in the thread as a completed call — rendered green, with a sentence about failure inside it.
dispatchRealtimeToolCall now returns { output, failed } rather than a bare string. failed is set on all five paths (unadvertised tool, no executor, unreadable arguments, schema rejection, throw) while output stays exactly as speakable as before. The bridge response carries failed through, and the runtime distinguishes two different failures now:
const failed = !dispatched || (response.ok && response.kind === 'tool' && response.failed);— the hop failing, and the hop succeeding with a tool that did not. Neither is a completed tool call.
Tests: every failure path asserts failed: true with a non-empty output (the model must never be left waiting), a success asserts { output, failed: false }, and on the runtime side a tool that ran and failed records errorText while the model still receives its answer.
| case 'disconnected': | ||
| return { ...state, status: 'idle', userSpeaking: false, failure: undefined }; |
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If a connection drops or the user hangs up while a tool is active, this transition preserves activeTools; the later connecting and connected transitions also spread the old state. Starting or retrying a call therefore makes VoiceCallBar display the previous call's tool as currently running until the new call emits a transcript or response.done, which may take the whole first silent turn. Clear activeTools when disconnecting or beginning a new attempt.
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Valid — fixed in b240c98.
activeTools survived connecting, connected, failed and disconnected, so a new call opened showing the previous call's tool as live until the first response.done or transcript, which is exactly the first silent turn. Cleared on all four edges: a call that is starting, has just started, has failed or has ended is not running a tool.
This replaced a test of mine that asserted the opposite for the failure case — "keep showing what it was" — which I had reasoned about as preserving context on a drop. Your framing is better: the bar is showing a live status, and a dropped call has no live anything. The test now walks all four transitions and asserts each clears.
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Inline comments:
In `@apps/web/src/components/ai/voice/realtime/VoiceCallBar.tsx`:
- Around line 61-69: Update the render-selection logic in VoiceCallBar so an
existing runningTool causes statusLine to render before falling back to latest
prior transcript content. Add a test covering a populated transcript followed by
a tool call and assert that the active tool status is displayed.
In `@apps/web/src/lib/ai/realtime/session-state.ts`:
- Around line 155-164: Update the transcript handling near extractTranscript so
activeTools is cleared only when entry.role is assistant; preserve active tool
state for user transcripts. Add a regression test covering a user transcript
while tool execution is active.
In `@apps/web/src/lib/ai/realtime/tool-activity-persistence.ts`:
- Around line 60-67: Update inputFor to validate the JSON.parse result before
returning it: only return non-null, non-array objects; for null, arrays,
primitives, and malformed JSON, return the existing record-shaped raw fallback
so toolPart receives an object-compatible input.
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CHANGELOG.mdapps/realtime/src/voice/__tests__/voice-call-runtime.test.tsapps/realtime/src/voice/voice-call-runtime.tsapps/web/src/components/ai/shared/chat/tool-calls/ToolCallRenderer.tsxapps/web/src/components/ai/voice/realtime/VoiceCallBar.tsxapps/web/src/lib/ai/realtime/__tests__/instructions.test.tsapps/web/src/lib/ai/realtime/__tests__/session-state.test.tsapps/web/src/lib/ai/realtime/__tests__/tool-activity-persistence.test.tsapps/web/src/lib/ai/realtime/__tests__/tool-dispatch.test.tsapps/web/src/lib/ai/realtime/__tests__/voice-bridge-contract-drift.test.tsapps/web/src/lib/ai/realtime/bridge-handler.tsapps/web/src/lib/ai/realtime/instructions.tsapps/web/src/lib/ai/realtime/session-state.tsapps/web/src/lib/ai/realtime/tool-activity-persistence.tsapps/web/src/lib/ai/realtime/tool-dispatch.tsapps/web/src/lib/ai/realtime/transcript-persistence.tsapps/web/src/lib/ai/tools/__tests__/tool-labels.test.tsapps/web/src/lib/ai/tools/tool-labels.tspackages/lib/src/realtime/voice-bridge-contract.ts
Caught reviewing my own diff before a reviewer did. `buildRealtimeSeed` replays a message's `content` as an utterance when seeding the next call. I gave each tool row a human label as its body, so a second call on the same conversation would have been seeded with "Read Page: Roadmap" in the assistant's own voice — things nobody said, spending a seed budget capped at twenty turns and 4k tokens on them. The row now carries no text, which is both honest and what `buildAssistantPersistencePayload` already computed for a parts array holding one tool part. Nothing is lost: `MessageRenderer` builds its text from PARTS and already handles tool-only content, so the row still renders as its card. That required exempting structured rows from the transcript writer's blank guard. The exemption is narrow and the guard's own reasoning is why — it refuses an empty body because "it renders as a turn that said nothing", which is not true of a row that renders as a tool call. Applying it here would have silently dropped the record of a tool that ran. Pinned from both ends: the persistence test asserts the row is textless and still written, and a seed test asserts a textless row is never replayed. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
All six were real. Two changed my mind about a decision I had made.
A CEILING COMES BACK, AND CODEX WAS RIGHT (P1). Removing the 700-char cap left
tool output unbounded against a 32k session that also holds the seed, the
instructions and the audio for the whole call — and a function_call_output stays
in it. Measuring made the case worse than the review did: `tool_search` returns
21k characters for "calendar", 42k for "page" and 89k for a single letter. That
last is ~22k tokens; one call would have ended the call.
But 8k — the codebase's existing MAX_CONTENT_CHARS_PER_PAGE — would have
re-broken exactly what this PR fixes, because a "calendar" search is 21k. So the
ceiling is set where the path the model is actually TOLD to take survives whole:
TOOL_DISCOVERY_PROMPT instructs `tool_search("select:name")` before calling a
tool, which is ~7k for two tools. 12k keeps that and an ordinary page read
intact, and cuts only the broad dump the model did not need in full — with a
hint naming the two ways to ask again.
A FAILED TOOL RENDERED AS A SUCCESS (P2). `dispatchRealtimeToolCall` turns every
failure — unknown tool, no executor, bad arguments, a throw — into a normal
`ok: true` carrying a speakable sentence, because the model is blocked on
function_call_output until it gets one. So "the hop worked" was being read as
"the tool worked", and a permission error was filed in the thread as a completed
call, rendered green. The dispatcher now answers `{ output, failed }` and the
bridge carries `failed` through.
STALE TOOL STATE ACROSS CALLS (P2). `activeTools` survived connecting,
connected, failed and disconnected, so a new call opened showing the previous
call's tool as live for its whole first silent turn. Cleared on every lifecycle
edge.
THE STATUS LINE WAS UNREACHABLE. The bar rendered the last transcript whenever
one existed, so the tool status could only ever show before the first spoken
turn — which is never, in a real call. The feature was invisible. Now the
running tool wins over the last utterance, which is the one moment quoting it is
actively wrong: the model stopped talking to go and do something.
CLEARING ON THE WRONG SPEAKER. `extractTranscript` returns the CALLER's
transcripts too, so someone talking over a slow tool cleared the status —
dropping the explanation for the silence exactly when it was needed. Only the
assistant resuming ends the window.
ARGUMENTS THAT ARE NOT AN OBJECT. `JSON.parse` accepts null, arrays and bare
numbers; each reached the renderer and the persisted toolCalls column as an
input the typed surface can never produce. Normalised to a record, keeping the
value under `raw` rather than discarding it.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
Found while checking whether my own "tool rows carry no text" fix survived
contact with the database. It did not, and the reason turned out to be a
pre-existing bug that is worse than the one I was chasing.
`messages.content` does not hold prose. Any row saved with parts — which is
every typed assistant turn — stores a JSON envelope there
(`extractStructuredContentFromParts`: textParts, partsOrder, originalContent),
and `getMessagesByConversationId` returns the raw column. The voice seed reads
that column straight into `conversation.item.create`.
So starting a call on a thread that had been TYPED in seeded the model with
{"textParts":["Here they are."],"partsOrder":[…],"originalContent":"…"}
as an assistant utterance — and spent a budget capped at twenty turns and 4k
tokens doing it. That has been true since the seed existed; my tool rows would
have added one envelope per tool call on top.
`readMessageText` is now the one way to get a message's words, and the voice
deps read through it. A row with no text parts — a tool call, which renders
from its parts — yields '', and the seed drops it, which is the behaviour my
earlier commit claimed and did not actually have.
The earlier test could not catch this: it asserted what the persistence layer
PASSES to the repository, and the rewrite happens inside the repository. The new
test covers the reader against the real envelope shape, including the tool-row
case.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
Adding `readMessageText` in the last commit made a second decoder for the same envelope: `v1-conversations.ts` already had a private `extractPlainText` doing the same job with slightly different rules — it preferred `originalContent`, mine preferred `textParts`, and only one of them trimmed. Two functions that decode the same envelope are two that can disagree about what a message says, on surfaces whose whole job is reporting what a message says. Consolidated onto one, keeping the v1 function's semantics exactly so that API's output is unchanged: `originalContent` first, `textParts` joined as the fallback, the raw string when the body is not our envelope. Found by checking who else reads `messages.content` directly. The other two callers are fine — `global-chat-turn.ts` goes through `convertGlobalAssistantMessageToUIMessage`, and the v1 completions back-fill only touches `toolCalls`. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
`formatToolResult` kept a `maxChars` override after the ceiling moved into a constant, and no caller — including the tests — ever passed it. Configurability nobody asked for reads as a seam that exists for a reason. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
It named `tool_search("select:…")` and `read_page`'s line ranges first, which
only help if the result that got cut was one of those. The results that actually
hit the ceiling are usually a listing or a search that matched too much, and for
those the hint offered nothing to act on — advice that assumes the wrong tool is
worse than none.
Now it leads with the general instruction ("ask again for less: a narrower query
or filter") and keeps the two specific escapes after it.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
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Actionable comments posted: 2
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Inline comments:
In `@apps/web/src/lib/ai/core/__tests__/message-utils.readMessageText.test.ts`:
- Line 1: Rename the test file from message-utils.readMessageText.test.ts to
message-utils.read-message-text.test.ts, preserving its contents and test
behavior.
In `@apps/web/src/lib/ai/core/message-utils.ts`:
- Around line 374-379: Update the envelope decoding logic around the parsed
object and its envelope type to require a valid partsOrder discriminator before
reading originalContent or textParts; otherwise preserve the original JSON
string as legacy content. Add a regression test covering JSON containing
textParts without partsOrder and verify it is not decoded as an envelope.
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apps/realtime/src/voice/__tests__/voice-call-runtime.test.tsapps/realtime/src/voice/voice-call-runtime.tsapps/web/src/components/ai/voice/realtime/VoiceCallBar.tsxapps/web/src/components/ai/voice/realtime/__tests__/VoiceCallBar.test.tsxapps/web/src/lib/ai/core/__tests__/message-utils.readMessageText.test.tsapps/web/src/lib/ai/core/message-utils.tsapps/web/src/lib/ai/openai-api/v1-conversations.tsapps/web/src/lib/ai/realtime/__tests__/bridge-handler.test.tsapps/web/src/lib/ai/realtime/__tests__/session-state.test.tsapps/web/src/lib/ai/realtime/__tests__/tool-dispatch.test.tsapps/web/src/lib/ai/realtime/bridge-handler.tsapps/web/src/lib/ai/realtime/session-state.tsapps/web/src/lib/ai/realtime/tool-activity-persistence.tsapps/web/src/lib/ai/realtime/tool-dispatch.tsapps/web/src/lib/ai/realtime/voice-runtime-deps.tspackages/lib/src/realtime/voice-bridge-contract.ts
🚧 Files skipped from review as they are similar to previous changes (7)
- apps/web/src/components/ai/voice/realtime/VoiceCallBar.tsx
- apps/web/src/lib/ai/realtime/tool-activity-persistence.ts
- apps/web/src/lib/ai/realtime/tests/session-state.test.ts
- apps/realtime/src/voice/tests/voice-call-runtime.test.ts
- apps/web/src/lib/ai/realtime/bridge-handler.ts
- apps/web/src/lib/ai/realtime/session-state.ts
- apps/realtime/src/voice/voice-call-runtime.ts
Reinstating a session-sized ceiling left the module docblock opening with "RESULTS ARE NOT TRUNCATED" and closing with "THERE IS STILL A CEILING". One narrative now: the 700-character cap measured speech when it should have been measuring the session, and what replaces it is sized against the session. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
CodeRabbit caught a decision I had made and got wrong.
Consolidating the two decoders, I kept `v1-conversations.ts`'s looser rule — any
JSON object carrying `originalContent` or `textParts` is an envelope — because I
wanted that API's output unchanged. But a message body can validly BE that JSON:
someone can type `{"textParts":["value"]}`, and the reader would serve it back
as `value`, reporting a message as saying something its author never wrote.
`parseStructuredContent`, directly below, is the existing definition of "one of
our envelopes" and requires both `textParts` and `partsOrder` —
`StructuredContentData` demands the latter, and every real write includes it.
`readMessageText` reuses it now instead of sniffing for a field, which also
means there is one discriminator rather than two.
This does change v1's behaviour for that pathological body, and preserving the
old behaviour would have meant preserving a bug.
Also renames the test file to kebab-case per the repo convention.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
The PR claims a tool call "is still there when you come back to the thread" and nothing tested it. Writing that test found the tests themselves were checking a row shape that never reaches the database. The repository does not store what it is handed: a save carrying parts has its `content` rewritten into the structured envelope (`extractStructuredContentFromParts`). The fake recorded the arguments verbatim, so every assertion about the stored row was about something imaginary — and the first round-trip attempt "failed" for that reason rather than a real one. The fake now mirrors the rewrite, which makes the whole file honest, and three cases drive the real reconstruction the thread uses: a completed call comes back as its tool part with its output, a failed one comes back as `output-error`, and neither reappears as an empty spoken turn above the card. `should store NO text` now asserts through `readMessageText` rather than comparing the column to `''` — the column is an envelope, and the question that matters is what the seed reads out of it. Mutation-checked: dropping `toolResults` from the payload turns the round-trip red, which the previous column-presence assertion alone would not have caught convincingly. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DEofnKqGYY8Gs8CjwkGPXd
… cleanly into `git merge` reported no conflict and left the tree broken. PR #2407 landed `tool-activity-persistence.ts`, which imports `UIMessagePart` from `../core/stream-multicast-registry` — a module this branch deletes. Neither side touched the same lines, so nothing flagged it; `bun run typecheck` did. The type moved to `stream-channel-registry`, which is where the import now points. Its docblock also named `chunkToPart` as the source of the part shape it builds. That projection is gone, and this branch is what removed it, so the comment is this branch's to correct: the shape is unchanged, because `foldChunksToParts` produces the same `tool-${name}` part for a tool call — verified against both files rather than asserted. Also drops an orphaned comment block in the hook tests explaining the `rawPartsCount` / `skipReplayCount` skip arithmetic. That mechanism was deleted here; the prose outlived it and had drifted in front of an unrelated `isOwn` test. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CjQJKnymbLj6RCwafoRfgY
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Follow-on to #2406. That PR gave a call the real system prompt, so the model finally knew which tools it had. It still could not use them: it lost track of documents, fumbled edits, and said "let me check that" and then went quiet.
None of that was the prompt.
The truncation
formatToolResultcut every tool result to 700 characters before the model saw it (tool-dispatch.ts:56). This was voice-only — the typed surface caps tool results nowhere. The same agent, on the same tools, got the whole answer when you typed and a 700-character keyhole when you talked.The docblock justified it on the grounds that a spoken answer cannot be skimmed. True, and it is a rule about what the model says — which the spoken override already enforces ("two or three sentences per turn"). It was being applied to what the model knows:
tool_searchanswers with JSON Schemas. A keyword like "calendar" matches enough tools to run to 21k characters (measured below). Sliced at 700 it arrived cut mid-object, so the model could not build theexecute_toolcall it had just gone looking for. It guessed parameters, failed validation, and tried again. That loop is what "it doesn't navigate tool calls" looked like from outside.read_pagereturned the first 700 characters of a document — neither a summary nor enough to edit from, sincereplace_linesworks off line numbers in a full read.list_pageswas cut off, so "find my document" failed whenever the document sorted late.The 700-character bound is gone. A 12,000-character one replaces it, sized against the session rather than against a listener's patience — see "The ceiling" below.
The ceiling
A
function_call_outputstays in a 32k session that also holds the seed, the instructions and the audio for the whole call, so one result can end a call outright. Measured against the real registry:tool_searchqueryselect:create_task,update_task"calendar""page""a"A one-letter query is ~22k tokens on its own. So
tool_search, notread_page, is the worst offender — and the codebase's existingMAX_CONTENT_CHARS_PER_PAGE = 8000would have re-broken the original bug, since a "calendar" lookup is 21k.The ceiling is therefore set where the path the model is actually instructed to take survives whole:
TOOL_DISCOVERY_PROMPTsays to calltool_search("select:name")for a schema before calling a tool, which is ~7k for two tools. 12k keeps that and an ordinary page read intact, and cuts only the broad dump the model never needed in full. The continuation hint leads with the general instruction — a truncated listing or search is the common case, and neither specific escape fits it — then names them:Follow-up worth doing separately:
tool_searchcaps skill matches (MAX_SKILL_MATCHES = 10) but not tool matches, which is why a broad query reaches 89k at source. Capping there would give bounded well-formed results instead of truncated JSON, and would help the typed surface too.The silence
Two surfaces, because they answer different questions.
Live, in the call bar. Client-side and free: the browser already holds its own data channel to OpenAI and already forwards every frame into the reducer, so the reducer now reads the function calls out of
response.doneitself. No server hop, no contract.The display seam was already built and never connected —
ToolActivity, the action, the reducer case andVoiceCallBarrendering it all existed, and nothing in production ever dispatched it, sostate.toolswas permanently[]. I reshaped it rather than adopting it: it only ever appended, and the status line prefers a tool over everything else, so the first tool of a call would have pinned the bar for the rest of it.activeToolsis what is running now, cleared when the model speaks — which bounds it to exactly the silent window.Durable, in the thread. A new bridge kind in two phases:
tool_startedcreates the row as a spinner and answers with its id;tool_finishednames that same id so the repository updates it in place. That convergence is not new code —appendPartalready replaces a tool part bytoolCallIdandemitAfterSavealready emitsmessageUpdatedfor a row that existed. The part is the exact shapechunkToPartemits, so the renderer, the socket payload and the reload path all accept it without knowing voice exists.Neither write is on the model's path. You are already sitting through the tool; a row nobody is waiting for must not be added to that wait. The started write goes out unawaited, the answer is sent the moment the tool returns, and only the finish chains — on the started write's promise, never on the tool.
The conversation resolution, the access check and the global-versus-page attribution are
persistVoiceTranscript's, deliberately: those decisions are security-relevant and there must not be a second copy of them that a spoken tool call takes instead.A landmine fixed on the way
bridge-handler.tsnarrowedkind === 'tool'and then fell through to the transcript write — so any new kind would have been silently persisted as a spoken turn. Wrong row, written confidently, nothing raised. It is exhaustive now, with a drift guard that drives every member of the request schema through the handler.Also
TOOL_NAME_MAPand the descriptive-title logic moved out ofToolCallRenderer.tsxintolib/ai/tools/tool-labels.ts, because a pure reducer needs the same words and cannot import fromcomponents/. The port is faithful on purpose — including the field order and trimming onlyquery— and is pinned by tests, since an extraction that changes behaviour while looking tidier is the failure mode worth guarding.Verification
typecheck(incl. build + lint),lint,knipclean.toolResultsbreaks the reload round-trip; restoring the field-sniffing decoder breaks the envelope-lookalike case.contentinto the structured envelope); the fakes now mirror that, which makes every assertion in that file about something real.Review round 1 (b240c98)
Six findings from
chatgpt-codex-connectorandcoderabbitai, all valid; two changed a decision I had made.ok: truewith a speakable sentence, because the model is blocked until it gets one. So "the hop worked" was read as "the tool worked", and a permission error was filed in the thread as a completed call. The dispatcher now answers{ output, failed }.activeToolssurvived every lifecycle edge, so a new call opened showing the previous call's tool as live through its first silent turn.extractTranscriptreturns the caller's transcripts too, so someone talking over a slow tool removed the explanation for the silence exactly when it was needed.JSON.parseacceptsnull, arrays and primitives; each reached the persistedtoolCallscolumn as an input the typed surface can never produce.A pre-existing bug found on the way
Checking whether "tool rows carry no text" survived contact with the database, it did not — and the reason turned out to predate this PR.
messages.contentdoes not hold prose. Any row saved with parts — which is every typed assistant turn — stores a JSON envelope there (extractStructuredContentFromParts), andgetMessagesByConversationIdreturns the raw column. The voice seed reads that column straight intoconversation.item.create.So starting a call on a thread that had been typed in has been seeding the model with
{"textParts":["Here they are."],"partsOrder":[…],"originalContent":"…"}as an assistant utterance, spending a budget capped at twenty turns and 4k tokens on envelopes. That has been true since the seed existed; my tool rows would have added one per tool call on top.
readMessageTextis now the one way to get a message's words. A row with no text parts yields''and the seed drops it — which is the behaviour my earlier commit claimed and did not actually have. Consolidating also removed a private duplicate of the same decoder inv1-conversations.ts, keeping that function's semantics exactly so the API's output is unchanged.My earlier test could not have caught this: it asserted what the persistence layer passes to the repository, and the rewrite happens inside the repository.
Not verified: a real call. This is all unit-level. The check that decides it is "What's on my calendar tomorrow?" — it should now complete rather than loop, with the bar naming each step and the thread filling in as it goes. Worth also confirming a tool row survives a reload, and that context usage on a long call stays sane now that results are uncapped.
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