Implement AI Cost & Usage Tracking System#701
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- Created pricing configuration and calculation logic in lib/costs/ - Extended database schema with usage_events table and generated migrations - Instrumented all AI agents (researcher, writer, inquire, etc.) and tools for usage recording - Updated UI components to display live usage data via a new /api/usage endpoint - Threaded userId and chatId context through the agent/tool pipeline Co-authored-by: ngoiyaeric <115367894+ngoiyaeric@users.noreply.github.com>
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WalkthroughIntroduces a ChangesUsage Tracking Pipeline
Estimated code review effort🎯 4 (Complex) | ⏱️ ~60 minutes Possibly related PRs
Suggested labels
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🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
Warning There were issues while running some tools. Please review the errors and either fix the tool's configuration or disable the tool if it's a critical failure. 🔧 Biome (2.5.0)lib/agents/researcher.tsxFile contains syntax errors that prevent linting: Line 44: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 47: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 50: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 56: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 61: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 68: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 75: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 76: Expected a semicolon or an implicit semicolon after a statement, but found none; Line 77: Expected a semicolon or an implicit semicolon after a statement, but found none 🔧 ESLint
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Risk-prioritized pass over merge-blocking correctness/runtime paths.
Blocking feedback
submitcurrently readsaiStatebefore initialization and places'use server'after executable statements, which breaks server-action semantics and can throw at runtime — app/actions.tsx#L38-L43researchernow passesuserId/chatIdintogetTools(...), butgetToolsstill only accepts{ uiStream, fullResponse, mapProvider }, so this callsite no longer type-checks — lib/agents/researcher.tsx#L128RetrieveSectionis rendered with aurlprop, but the component only acceptsdata; this is a hard type/runtime mismatch in the retrieve flow — lib/agents/tools/retrieve.tsx#L26-L29videoSearchToolimports@/lib/schema/video-search, but that module does not exist in this PR/repo, so the build cannot resolve the import — lib/agents/tools/video-search.tsx#L1-L3geospatialToolnow returns only{ type, params, mapProvider }, but downstream consumers expectmcp_response.location/mapUrl; this removes the data path that drives map updates and geospatial answers — lib/agents/tools/geospatial.tsx#L33-L37
If you want, I can push fixes for a subset or all of these; reply with item numbers (for example: please fix 1,3-5).
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| async function submit(formData?: FormData, skip?: boolean) { | ||
| const userId = await getCurrentUserIdOnServer(); | ||
| const chatId = aiState.get().chatId || nanoid(); |
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This now runs before aiState is initialized and before 'use server' is declared. const chatId = aiState.get().chatId || nanoid() can throw immediately, and the directive is no longer the first statement in the action. Suggested fix: keep 'use server' first, initialize aiState, then derive userId/chatId from it.
| system: systemPromptToUse, | ||
| messages, | ||
| tools: getTools({ uiStream, fullResponse, mapProvider }), | ||
| tools: getTools({ uiStream, fullResponse, mapProvider, userId, chatId }), |
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getTools currently accepts { uiStream, fullResponse, mapProvider } (see lib/agents/tools/index.tsx). Passing userId/chatId here introduces an excess-property type error, and the IDs still never reach tool constructors. Please extend ToolProps/getTools and thread these values through, or remove them here until getTools is updated.
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| uiStream.append( | ||
| <Section title="Retrieve" separator={true}> | ||
| <RetrieveSection url={url} /> |
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RetrieveSection expects a data prop (RetrieveSectionProps { data: SearchResultsType }), but this call passes url. That is a hard type mismatch and breaks the retrieve render path. Suggested fix: render a loading placeholder here, then render <RetrieveSection data={results}> after fetch succeeds.
| import { Card } from '@/components/ui/card' | ||
| import { ToolProps } from '.' | ||
| import { createStreamableUI } from 'ai/rsc' | ||
| import { videoSearchSchema } from '@/lib/schema/video-search' |
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@/lib/schema/video-search does not exist in this repository (lib/schema has no video-search file), so this import fails module resolution. Either add lib/schema/video-search.tsx exporting videoSearchSchema, or switch back to an existing schema.
| uiStream.update(<BotMessage content={uiFeedbackStream.value} />); | ||
| return { type: 'MAP_QUERY_TRIGGER', originalUserInput: JSON.stringify(params), timestamp: new Date().toISOString(), mcp_response: null, error: 'MCP client initialization failed' }; | ||
| return { | ||
| type: 'MAP_QUERY_TRIGGER', |
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The tool response contract changed here, but consumers still expect mcp_response.location/mapUrl (see app/actions.tsx and components/map/map-query-handler.tsx). Returning only { type, params, mapProvider } breaks map updates and geospatial outputs. Please either preserve the prior shape or update all downstream consumers in this PR.
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Actionable comments posted: 21
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@app/actions.tsx`:
- Around line 39-40: Initialize aiState before reading chatId: the current flow
in the action uses aiState.get().chatId before getMutableAIState() has run,
which can throw at runtime. Update the action so getMutableAIState() is called
first, then read chatId from aiState, and keep the existing userId/chatId setup
in the same action using the aiState and getMutableAIState symbols.
In `@components/sidebar/chat-history-client.tsx`:
- Around line 42-71: The fetch flow in chat-history-client.tsx’s
useEffect/fetchData only handles successful responses and leaves error state
untouched on 401/500, causing the sidebar to render an empty success state.
Update fetchData to detect non-ok responses from
fetch('/api/chats?limit=50&offset=0') and fetch('/api/usage'), parse any error
payload if available, and call setError with a meaningful message instead of
just skipping state updates. Use the existing setError, setChats, and
setUsageSummary paths so failed loads surface in the history panel rather than
falling back to blank credits values.
In `@components/usage-view.tsx`:
- Around line 33-36: The credit balance calculation in usage-view is based on
lifetime spend, but the UI promises a yearly refresh, so update the data flow to
use a time-bounded yearly aggregate instead of the all-time total. Adjust
getUserUsageSummary() (and any shared usage summary logic used by the sidebar)
to filter usageEvents.cost by the current year or expose a backend metric that
already does so, then keep totalCredits/availableCredits derived from that
yearly value; if you cannot make it yearly, remove the “Refresh to 500 every
year” wording from the affected UI.
- Around line 16-31: The fetchUsage effect in usage-view.tsx only handles
successful responses, so non-OK /api/usage results like 401 or 500 fall through
to a false “empty” state. Update the fetch logic in useEffect/fetchUsage to
explicitly treat response.ok === false as an error path (for example by throwing
or setting an error state) before setLoading(false), and make sure the
component’s summary/error rendering distinguishes failure from “no usage data.”
In `@lib/actions/chat.ts`:
- Around line 84-87: The cross-session context lookup in generateReportContext
is still using ambient auth via getCrossSessionContext(), which can mismatch the
threaded userId. Update generateReportContext to pass the received userId
through to the cross-session context retrieval path, and make sure the call site
uses that user-scoped identity so the report context, billing, and attribution
all align.
In `@lib/actions/usage.ts`:
- Around line 40-43: The recordUsageEvent flow is swallowing insert failures in
the catch block, which makes failed usage writes look successful and drops
events. Update the error handling in usage.ts so the failure is not treated as
success: either rethrow the error or return a rejected promise from
recordUsageEvent after logging. Make sure callers of recordUsageEvent can detect
the failure instead of relying on a fire-and-forget path.
- Around line 66-72: The summary query in getUserUsageSummary currently swallows
DB errors by returning a zeroed usage object, which makes /api/usage appear
successful. Update the catch path in getUserUsageSummary to rethrow or return an
error result instead of fallback zeros so app/api/usage/route can detect the
failure and send a 500; keep the existing logging in place and make sure
components/usage-view.tsx receives an error state rather than "no usage" data.
In `@lib/agents/inquire.tsx`:
- Around line 29-32: The inquiry flow in inquire.tsx is destructuring getModel()
as { model, modelId }, but getModel currently returns the model instance
directly, so model ends up undefined. Update either the getModel call site in
inquire.tsx to use the direct return value, or change getModel in
lib/utils/index.ts to return an object with model and modelId consistently. Make
sure streamObject() receives a valid LanguageModel and that the usage-tracking
path still executes after the model is resolved.
In `@lib/agents/query-suggestor.tsx`:
- Around line 59-63: getModel() is being destructured with the wrong contract in
query-suggestor, which leaves model undefined before streamObject() runs. Update
the call site in query-suggestor.tsx to use the direct return value from
getModel() from lib/utils/index.ts, and pass that model instance into
streamObject() without expecting a modelId field.
In `@lib/agents/researcher.tsx`:
- Around line 121-124: The researcher agent is still destructuring getModel() as
if it returned an object, but it returns the model instance directly, so model
is undefined when nonexperimental_streamText() is called. Update the usage in
researcher.tsx to match the actual return shape from getModel() in
lib/utils/index.ts, and pass the resolved model directly into
nonexperimental_streamText() while removing the invalid modelId destructuring.
- Line 128: Tool usage tracking is still being lost at the getTools factory
boundary because userId and chatId are not passed through from researcher.tsx
into the tool implementations. Update the getTools call and the getTools factory
in tools/index.tsx so retrieve, search, and videoSearch receive userId and
chatId along with uiStream, fullResponse, and mapProvider, and ensure each tool
forwards those values into its tracking/event recording logic.
- Around line 89-90: The remaining caller of researcher(...) still uses the old
argument order, so currentSystemPrompt is being passed into userId and the rest
of the parameters are shifted. Update the research invocation that still targets
researcher(...) to match the new signature, ensuring currentSystemPrompt is
passed in the correct position and the later arguments align with the updated
parameter order so the streaming flow can start correctly.
- Around line 44-77: The template literal in researcher.tsx is broken by
unescaped backticks around the tool names. Update the affected content in the
researcher prompt to escape or replace the inline code markers for search,
retrieve, and geospatialQueryTool so the tagged template parses correctly,
keeping the surrounding decision-flow text unchanged.
In `@lib/agents/resolution-search.tsx`:
- Around line 146-150: The resolution-search stream is destructuring getModel()
as if it returned an object, but getModel returns the model instance directly,
so model is undefined here. Update the code in resolution-search around
streamObject to consume the direct return value from getModel(hasImage) and pass
that model into streamObject; if you still need the identifier, fetch it
separately rather than destructuring model/modelId.
In `@lib/agents/task-manager.tsx`:
- Around line 19-22: The `getModel()` usage in `task-manager.tsx` is
destructuring an object even though the current `getModel` contract returns the
model instance directly, leaving `model` undefined before `generateObject`. Fix
this by making `getModel` in `lib/utils/index.ts` consistently return `{ model,
modelId }`, or by updating `task-manager.tsx` to use the direct return value and
derive `modelId` separately; keep the `generateObject` call aligned with the
chosen contract.
In `@lib/agents/tools/geospatial.tsx`:
- Around line 24-31: The geospatial usage event is being recorded too early in
the UI trigger path, so it can be persisted even if the actual map/MCP work
fails or never runs. Move the recordUsageEvent call out of the current
geospatialQueryTool trigger block and into the handler that performs the real
geospatial request, or gate it behind an explicit success callback once the
operation completes successfully. Use the existing geospatialQueryTool and
recordUsageEvent symbols to relocate the logic.
In `@lib/agents/tools/retrieve.tsx`:
- Around line 26-29: The RetrieveSection usage is passing url instead of the
expected data object, so the component receives undefined for data.results.
Update the Retrieve flow in retrieve.tsx by either introducing a URL-only
component for this section or changing the render to wait for retrieval results
and pass them into RetrieveSection as its data prop, using the existing
RetrieveSection symbol to locate the call site.
In `@lib/agents/tools/search.tsx`:
- Around line 21-34: Keep the search tool contract aligned by making
searchSchema and the Search tool executor use the same parameter set. The
executor in search.tsx currently expects include_domains/exclude_domains while
the schema still advertises include_answer, topic, time_range, include_images,
include_image_descriptions, and include_raw_content; update one side to match
the other, and ensure the execute handler and its type signature reference the
same fields as the schema so the model-facing API and implementation stay in
sync.
- Around line 38-63: The Search UI section is only being initialized with the
query and never updated with the Tavily response, so the rendered panel stays
empty/partial. In search.tsx, update the existing uiStream.append/SearchSection
flow so the section receives the actual search payload returned by
client.search, including results and any other fields SearchSection expects. Use
the search tool’s response object to populate the result prop after the request
completes, and keep the identifiers SearchSection, uiStream.append, and
client.search as the main touchpoints.
In `@lib/agents/tools/video-search.tsx`:
- Around line 25-29: The Video Search tool panel is passing an incomplete
placeholder object to VideoSearchSection, so its expected searchResults shape is
missing. Update the rendering in video-search.tsx to pass the actual Serper
response object into VideoSearchSection, including searchParameters.q and the
video results list, rather than only JSON.stringify({ query }). Make sure the
data passed from the video search flow matches what VideoSearchSection reads so
the section can render without crashing.
- Around line 40-49: The `videoSearch` tool is recording usage too early because
`fetch()` can return 4xx/5xx responses without throwing, and `response.json()`
does not prove success. Update the `video-search.tsx` flow around the response
handling to only call `recordUsageEvent` after verifying the Serper response is
successful via `response.ok` or `response.status`, using the `videoSearch` logic
and `recordUsageEvent` call as the key spots to adjust.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: ASSERTIVE
Plan: Pro
Run ID: 9e588845-461e-4df6-8b2b-f068a53f62d1
⛔ Files ignored due to path filters (1)
server.logis excluded by!**/*.log
📒 Files selected for processing (18)
app/actions.tsxapp/api/usage/route.tscomponents/sidebar/chat-history-client.tsxcomponents/usage-view.tsxlib/actions/chat.tslib/actions/usage.tslib/agents/inquire.tsxlib/agents/query-suggestor.tsxlib/agents/report/executive-summary.tslib/agents/report/strategic-synthesis.tslib/agents/researcher.tsxlib/agents/resolution-search.tsxlib/agents/task-manager.tsxlib/agents/tools/geospatial.tsxlib/agents/tools/retrieve.tsxlib/agents/tools/search.tsxlib/agents/tools/video-search.tsxlib/agents/writer.tsx
📜 Review details
🧰 Additional context used
🪛 Biome (2.5.0)
lib/agents/researcher.tsx
[error] 44-44: Expected a semicolon or an implicit semicolon after a statement, but found none
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[error] 77-77: Expected a semicolon or an implicit semicolon after a statement, but found none
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🪛 React Doctor (0.5.8)
components/usage-view.tsx
[warning] 16-16: fetch() inside useEffect can race, double-fire, or leak. Use a data-fetching layer or Server Component instead.
Use a data-fetching layer or Server Component so fetches do not race, double-fire, or leak from useEffect.
(no-fetch-in-effect)
components/sidebar/chat-history-client.tsx
[warning] 42-42: fetch() inside useEffect can race, double-fire, or leak. Use a data-fetching layer or Server Component instead.
Use a data-fetching layer or Server Component so fetches do not race, double-fire, or leak from useEffect.
(no-fetch-in-effect)
🔇 Additional comments (10)
lib/agents/report/executive-summary.ts (2)
7-10: SamegetModel()destructuring break as noted earlier.This call also assumes
getModel()returns{ model, modelId }, but the provided implementation returns the model instance directly.
27-44: LGTM!lib/agents/report/strategic-synthesis.ts (2)
7-13: SamegetModel()destructuring break as noted earlier.This call also assumes
getModel()returns{ model, modelId }, but the provided implementation returns the model instance directly.
29-46: LGTM!lib/agents/writer.tsx (2)
37-40: SamegetModel()destructuring break as noted earlier.This call also assumes
getModel()returns{ model, modelId }, but the provided implementation returns the model instance directly.
44-56: LGTM!lib/agents/task-manager.tsx (1)
54-65: LGTM!lib/actions/chat.ts (1)
109-112: LGTM!lib/agents/tools/retrieve.tsx (1)
41-69: LGTM!lib/agents/tools/geospatial.tsx (1)
33-37: LGTM!
| const userId = await getCurrentUserIdOnServer(); | ||
| const chatId = aiState.get().chatId || nanoid(); |
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🩺 Stability & Availability | 🔴 Critical | ⚡ Quick win
🧩 Analysis chain
🏁 Script executed:
sed -n '1,140p' app/actions.tsx | cat -nRepository: QueueLab/QCX
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rg -n "const userId|aiState\.get\(\)\.chatId|getMutableAIState" app/actions.tsxRepository: QueueLab/QCX
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sed -n '300,350p' app/actions.tsx | cat -n
sed -n '440,480p' app/actions.tsx | cat -nRepository: QueueLab/QCX
Length of output: 2711
Initialize aiState before reading chatId
aiState is accessed on line 40 before getMutableAIState() runs on line 43, so this path will throw at runtime. Move the initialization above the read.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@app/actions.tsx` around lines 39 - 40, Initialize aiState before reading
chatId: the current flow in the action uses aiState.get().chatId before
getMutableAIState() has run, which can throw at runtime. Update the action so
getMutableAIState() is called first, then read chatId from aiState, and keep the
existing userId/chatId setup in the same action using the aiState and
getMutableAIState symbols.
| useEffect(() => { | ||
| async function fetchChats() { | ||
| async function fetchData() { | ||
| setIsLoading(true); | ||
| setError(null); | ||
| try { | ||
| // API route /api/chats uses getCurrentUserId internally | ||
| const response = await fetch('/api/chats?limit=50&offset=0'); // Example limit/offset | ||
| if (!response.ok) { | ||
| const errorData = await response.json(); | ||
| throw new Error(errorData.error || `Failed to fetch chats: ${response.statusText}`); | ||
| const [chatsRes, usageRes] = await Promise.all([ | ||
| fetch('/api/chats?limit=50&offset=0'), | ||
| fetch('/api/usage') | ||
| ]); | ||
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| if (chatsRes.ok) { | ||
| const chatsData = await chatsRes.json(); | ||
| setChats(chatsData.chats); | ||
| } | ||
| const data: { chats: DrizzleChat[], nextOffset: number | null } = await response.json(); | ||
| setChats(data.chats); | ||
| } catch (err) { | ||
| if (err instanceof Error) { | ||
| setError(err.message); | ||
| toast.error(`Error fetching chats: ${err.message}`); | ||
| } else { | ||
| setError('An unknown error occurred.'); | ||
| toast.error('Error fetching chats: An unknown error occurred.'); | ||
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| if (usageRes.ok) { | ||
| const usageData = await usageRes.json(); | ||
| setUsageSummary(usageData); | ||
| } | ||
| } catch (err) { | ||
| console.error('Error fetching data:', err); | ||
| } finally { | ||
| setIsLoading(false); | ||
| } | ||
| } | ||
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| if (isHistoryOpen) { | ||
| fetchChats(); | ||
| fetchData(); | ||
| } | ||
| }, [isHistoryOpen]); |
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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
Handle failed fetch responses instead of rendering an empty-success state.
/api/usage returns 401/500 error JSON on failure, but this effect only updates state on ok and otherwise just clears loading. When that happens, error stays null, the history panel renders as if load succeeded, and the credits section falls back to blank/zero values instead of surfacing the failure.
🧰 Tools
🪛 React Doctor (0.5.8)
[warning] 42-42: fetch() inside useEffect can race, double-fire, or leak. Use a data-fetching layer or Server Component instead.
Use a data-fetching layer or Server Component so fetches do not race, double-fire, or leak from useEffect.
(no-fetch-in-effect)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@components/sidebar/chat-history-client.tsx` around lines 42 - 71, The fetch
flow in chat-history-client.tsx’s useEffect/fetchData only handles successful
responses and leaves error state untouched on 401/500, causing the sidebar to
render an empty success state. Update fetchData to detect non-ok responses from
fetch('/api/chats?limit=50&offset=0') and fetch('/api/usage'), parse any error
payload if available, and call setError with a meaningful message instead of
just skipping state updates. Use the existing setError, setChats, and
setUsageSummary paths so failed loads surface in the history panel rather than
falling back to blank credits values.
| useEffect(() => { | ||
| async function fetchUsage() { | ||
| try { | ||
| const response = await fetch('/api/usage') | ||
| if (response.ok) { | ||
| const data = await response.json() | ||
| setSummary(data) | ||
| } | ||
| } catch (error) { | ||
| console.error('Failed to fetch usage:', error) | ||
| } finally { | ||
| setLoading(false) | ||
| } | ||
| } | ||
| fetchUsage() | ||
| }, []) |
There was a problem hiding this comment.
🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
Treat non-OK /api/usage responses as errors.
This effect only sets summary on response.ok. On a 401/500, loading flips to false with summary === null, so the page shows full credits and “No usage events recorded yet.” instead of an error state.
🧰 Tools
🪛 React Doctor (0.5.8)
[warning] 16-16: fetch() inside useEffect can race, double-fire, or leak. Use a data-fetching layer or Server Component instead.
Use a data-fetching layer or Server Component so fetches do not race, double-fire, or leak from useEffect.
(no-fetch-in-effect)
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@components/usage-view.tsx` around lines 16 - 31, The fetchUsage effect in
usage-view.tsx only handles successful responses, so non-OK /api/usage results
like 401 or 500 fall through to a false “empty” state. Update the fetch logic in
useEffect/fetchUsage to explicitly treat response.ok === false as an error path
(for example by throwing or setting an error state) before setLoading(false),
and make sure the component’s summary/error rendering distinguishes failure from
“no usage data.”
| const totalCredits = 500 | ||
| const usedCredits = summary ? Math.ceil(summary.totalCost * 100) : 0 // Simplified credit model | ||
| const availableCredits = Math.max(0, totalCredits - usedCredits) | ||
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🎯 Functional Correctness | 🟠 Major | 🏗️ Heavy lift
This credit balance is using lifetime spend, not the advertised yearly allowance.
getUserUsageSummary() sums all usageEvents.cost rows with no time filter, but this UI says credits “Refresh to 500 every year.” That means both this page and the sidebar will permanently subtract from an all-time total, so the balance never actually refreshes with a new year. This needs a time-bounded aggregate from the backend, or the yearly wording removed.
Also applies to: 79-81
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@components/usage-view.tsx` around lines 33 - 36, The credit balance
calculation in usage-view is based on lifetime spend, but the UI promises a
yearly refresh, so update the data flow to use a time-bounded yearly aggregate
instead of the all-time total. Adjust getUserUsageSummary() (and any shared
usage summary logic used by the sidebar) to filter usageEvents.cost by the
current year or expose a backend metric that already does so, then keep
totalCredits/availableCredits derived from that yearly value; if you cannot make
it yearly, remove the “Refresh to 500 every year” wording from the affected UI.
| export async function generateReportContext(userId: string, chatId: string, messages: AIMessage[]) { | ||
| try { | ||
| const crossSessionContext = await getCrossSessionContext() | ||
|
|
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🔒 Security & Privacy | 🟠 Major | ⚡ Quick win
Use the threaded userId for cross-session context.
generateReportContext now receives userId, but Line 86 still falls back to ambient auth via getCrossSessionContext(). Pass userId through so the report context matches the same user being billed and attributed.
Proposed fix
- const crossSessionContext = await getCrossSessionContext()
+ const crossSessionContext = await getCrossSessionContext(userId)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| export async function generateReportContext(userId: string, chatId: string, messages: AIMessage[]) { | |
| try { | |
| const crossSessionContext = await getCrossSessionContext() | |
| export async function generateReportContext(userId: string, chatId: string, messages: AIMessage[]) { | |
| try { | |
| const crossSessionContext = await getCrossSessionContext(userId) |
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@lib/actions/chat.ts` around lines 84 - 87, The cross-session context lookup
in generateReportContext is still using ambient auth via
getCrossSessionContext(), which can mismatch the threaded userId. Update
generateReportContext to pass the received userId through to the cross-session
context retrieval path, and make sure the call site uses that user-scoped
identity so the report context, billing, and attribution all align.
| uiStream.append( | ||
| <Section title="Retrieve" separator={true}> | ||
| <RetrieveSection url={url} /> | ||
| </Section> |
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🎯 Functional Correctness | 🔴 Critical | ⚡ Quick win
Pass RetrieveSection the expected data prop.
RetrieveSection expects data.results, but this renders it with url, so the component will receive data === undefined. Either render a lightweight URL-only component here or wait until retrieval succeeds and pass the returned results as data.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@lib/agents/tools/retrieve.tsx` around lines 26 - 29, The RetrieveSection
usage is passing url instead of the expected data object, so the component
receives undefined for data.results. Update the Retrieve flow in retrieve.tsx by
either introducing a URL-only component for this section or changing the render
to wait for retrieval results and pass them into RetrieveSection as its data
prop, using the existing RetrieveSection symbol to locate the call site.
| parameters: searchSchema, | ||
| execute: async ({ | ||
| query, | ||
| max_results, | ||
| search_depth, | ||
| include_answer, | ||
| topic, | ||
| time_range, | ||
| include_images, | ||
| include_image_descriptions, | ||
| include_raw_content | ||
| include_domains, | ||
| exclude_domains | ||
| }: { | ||
| query: string | ||
| max_results: number | ||
| search_depth: 'basic' | 'advanced' | ||
| include_answer: boolean | ||
| topic?: 'general' | 'news' | 'finance' | ||
| time_range?: 'y' | 'year' | 'd' | 'day' | 'month' | 'week' | 'm' | 'w' | ||
| include_images: boolean | ||
| include_image_descriptions: boolean | ||
| include_raw_content: boolean | ||
| max_results?: number | ||
| search_depth?: 'basic' | 'advanced' | ||
| include_domains?: string[] | ||
| exclude_domains?: string[] | ||
| }) => { |
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🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win
Keep the tool schema and executor in sync.
searchSchema still exposes include_answer, topic, time_range, include_images, include_image_descriptions, and include_raw_content, while this executor ignores all of them and instead expects include_domains / exclude_domains, which are not in the schema. The model-facing contract no longer matches the implementation, so several search modes silently stop working.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@lib/agents/tools/search.tsx` around lines 21 - 34, Keep the search tool
contract aligned by making searchSchema and the Search tool executor use the
same parameter set. The executor in search.tsx currently expects
include_domains/exclude_domains while the schema still advertises
include_answer, topic, time_range, include_images, include_image_descriptions,
and include_raw_content; update one side to match the other, and ensure the
execute handler and its type signature reference the same fields as the schema
so the model-facing API and implementation stay in sync.
| uiStream.append( | ||
| <Section title="Search"> | ||
| <SearchSection result={JSON.stringify({ query })} /> | ||
| </Section> | ||
| ) | ||
|
|
||
| if (hasError) { | ||
| fullResponse += `\nAn error occurred while searching for "${query}.` | ||
| uiStream.update( | ||
| <Card className="p-4 mt-2 text-sm"> | ||
| {`An error occurred while searching for "${query}".`} | ||
| </Card> | ||
| ) | ||
| return searchResult | ||
| } | ||
| try { | ||
| const client = tavily({ apiKey: process.env.TAVILY_API_KEY }) | ||
| const response = await client.search(query, { | ||
| maxResults: max_results || 5, | ||
| searchDepth: search_depth || 'basic', | ||
| includeDomains: include_domains, | ||
| excludeDomains: exclude_domains, | ||
| includeAnswer: true | ||
| }) | ||
|
|
||
| streamResults.done(JSON.stringify(searchResult)) | ||
| if (userId) { | ||
| recordUsageEvent({ | ||
| userId, | ||
| chatId, | ||
| kind: 'tool', | ||
| source: 'search' | ||
| }).catch(console.error) | ||
| } | ||
|
|
||
| return searchResult | ||
| return response |
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🎯 Functional Correctness | 🟠 Major | ⚡ Quick win
The rendered search section never receives the Tavily payload.
SearchSection reads results, images, and related fields from its result prop, but this code only appends {"query": ...} and never updates that section after the search completes. The UI will show an empty/partial Search panel instead of the actual search output.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@lib/agents/tools/search.tsx` around lines 38 - 63, The Search UI section is
only being initialized with the query and never updated with the Tavily
response, so the rendered panel stays empty/partial. In search.tsx, update the
existing uiStream.append/SearchSection flow so the section receives the actual
search payload returned by client.search, including results and any other fields
SearchSection expects. Use the search tool’s response object to populate the
result prop after the request completes, and keep the identifiers SearchSection,
uiStream.append, and client.search as the main touchpoints.
| uiStream.append( | ||
| <Section title="Video Search"> | ||
| <VideoSearchSection result={JSON.stringify({ query })} /> | ||
| </Section> | ||
| ) |
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🩺 Stability & Availability | 🔴 Critical | ⚡ Quick win
This placeholder payload does not satisfy VideoSearchSection.
That component reads searchResults.searchParameters.q and the returned video list, but this section is initialized with only {"query": ...} and is never updated with the Serper response. Once it renders, searchParameters is undefined and the tool panel crashes.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@lib/agents/tools/video-search.tsx` around lines 25 - 29, The Video Search
tool panel is passing an incomplete placeholder object to VideoSearchSection, so
its expected searchResults shape is missing. Update the rendering in
video-search.tsx to pass the actual Serper response object into
VideoSearchSection, including searchParameters.q and the video results list,
rather than only JSON.stringify({ query }). Make sure the data passed from the
video search flow matches what VideoSearchSection reads so the section can
render without crashing.
| const json = await response.json() | ||
|
|
||
| if (userId) { | ||
| recordUsageEvent({ | ||
| userId, | ||
| chatId, | ||
| kind: 'tool', | ||
| source: 'videoSearch' | ||
| }).catch(console.error) | ||
| } |
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🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win
🧩 Analysis chain
🏁 Script executed:
#!/bin/bash
set -euo pipefail
sed -n '1,180p' lib/agents/tools/video-search.tsx | cat -nRepository: QueueLab/QCX
Length of output: 2167
Record usage only after a successful response
fetch() does not reject on 4xx/5xx, and this code records videoSearch immediately after response.json() without checking response.ok or response.status. A failed Serper response can still be counted as a successful tool use.
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@lib/agents/tools/video-search.tsx` around lines 40 - 49, The `videoSearch`
tool is recording usage too early because `fetch()` can return 4xx/5xx responses
without throwing, and `response.json()` does not prove success. Update the
`video-search.tsx` flow around the response handling to only call
`recordUsageEvent` after verifying the Serper response is successful via
`response.ok` or `response.status`, using the `videoSearch` logic and
`recordUsageEvent` call as the key spots to adjust.
2 participants
This PR implements a comprehensive system for tracking the usage and dollar costs of AI model calls and tool executions.
Key changes:
PR created automatically by Jules for task 443907385946815220 started by @ngoiyaeric
Summary by CodeRabbit
New Features
Bug Fixes