Implement Reasoning UI #408
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This commit introduces a new UI component to display the intermediate reasoning steps of the AI model. Key changes: - Adds a `ReasoningDisplay` component to render streaming "thinking" text. - Integrates a new `reasoningStream` into the core user action and `researcher` agent. - Enables reasoning mode for the Gemini 3 Pro model using the `thinkingLevel` parameter. - Persists the reasoning steps in the chat history for display on reload. - Updates the `Section` component with a "Thinking" icon. - Adds `dev_server.log` to `.gitignore`.
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This commit introduces a new UI component to display the intermediate reasoning steps of the AI model. Key changes: - Adds a `ReasoningDisplay` component to render streaming "thinking" text. - Integrates a new `reasoningStream` into the main query action and `researcher` agent. - Enables reasoning mode for the Gemini 3 Pro model using the `thinkingLevel` parameter. - Persists the reasoning steps in the chat history for display on reload. - Updates the `Section` component with a "Thinking" icon. - Adds `dev_server.log` to `.gitignore`. **Known Issue:** The build is currently failing with a type error in `lib/utils/index.ts`: `Expected 1 arguments, but got 2`. This is due to a breaking change in the `@ai-sdk/google` package (upgraded to v3.0.6) that I was unable to resolve. The `google()` function signature has changed, and further investigation is needed to find the correct way to pass the `thinkingLevel` parameter.
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@coderabbitai Important: The build is currently failing due to a type error in |
PR Compliance Guide 🔍Below is a summary of compliance checks for this PR:
Compliance status legend🟢 - Fully Compliant🟡 - Partial Compliant 🔴 - Not Compliant ⚪ - Requires Further Human Verification 🏷️ - Compliance label |
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@coderabbitai Important: The build is currently failing due to a type error in |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain@ngoiyaeric I'll help you resolve this build failure. Let me first examine the code and check the package version. 🏁 Script executed: Length of output: 2627 🏁 Script executed: Length of output: 13 🏁 Script executed: Length of output: 0 🌐 Web query: 💡 Result: Short answer: In @ai-sdk/google v3 use the providerOptions.google.thinkingConfig object. thinkingLevel accepts 'minimal' | 'low' | 'medium' | 'high'. Gemini 3 Pro supports only 'low' and 'high' (Pro default is dynamic/high); Gemini 3 Flash supports all four. You can also set includeThoughts (boolean). For Gemini 2.5 use thinkingBudget instead. [1][2] Example: Sources: [1] ai-sdk.dev provider docs (thinkingConfig). [2] Google Gemini thinking docs (thinkingLevel details). 🏁 Script executed: Length of output: 27 🏁 Script executed: Length of output: 27 🏁 Script executed: Length of output: 4533 🏁 Script executed: Length of output: 6078 @ngoiyaeric I found the issue! In Fix for
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This PR introduces persisted, user-visible “Thinking” content, but currently persists raw reasoning unconditionally, which is a security/product-risk decision that should be gated and size-limited. getModel() redundantly constructs the Gemini client and shadows variables, hurting maintainability. The new ReasoningDisplay UX shows an empty section while pending and provides minimal error feedback.
Additional notes (3)
- Readability |
components/reasoning-display.tsx:6-20
ReasoningDisplayreturnsnullwhilependingis true. That makes the Thinking section render as an empty block until the first token arrives, which is a confusing UX regression (you show a "Thinking" header but nothing under it). Also, whenerroris set, rendering onlyErrorloses useful context for debugging.
This is especially noticeable because you already show a spinner; the section should still show a minimal placeholder state.
- Maintainability |
app/actions.tsx:321-355
The “Thinking” section is always rendered immediately (with aSpinner), but if the model/provider doesn’t emitreasoningdeltas or if an error occurs, the section will remain empty and you never callreasoningStream.done()in the no-reasoning case. This can leave the client hook in a perpetualpendingstate and the UI permanently blank for that section.
You should always terminate the stream in a finally (or after the loop) with at least an empty string so the UI can settle, and optionally hide the section if no reasoning is produced.
- Maintainability |
app/actions.tsx:621-623
The section title used for answers is"response"(lowercase) while other titles ("Thinking","Answer", etc.) are title-cased and are used to select icons. This inconsistency can lead to confusing UI (e.g., default icon selection) and makes theSectiontitle switch brittle (stringly-typed).
Consider standardizing titles (e.g., "Response") or switching to an enum/variant prop separate from the display title.
Summary of changes
What this PR changes
- Adds a new client UI component
components/reasoning-display.tsxto render streamed model “thinking”/reasoning viauseStreamableValue(). - Updates
app/actions.tsxto:- create a dedicated
reasoningStream - show a new Thinking
Sectionwhile the assistant is processing - persist reasoning into chat history (
type: 'reasoning') and rehydrate it ingetUIStateFromAIState.
- create a dedicated
- Updates
lib/agents/researcher.tsxto:- accept a
reasoningStream - consume a new streamed delta type (
'reasoning') - append a reasoning message to the mutable AI state.
- accept a
- Extends
AIMessage['type']with| 'reasoning'. - Adds a Thinking icon mapping in
components/section.tsx. - Updates Gemini provider config in
lib/utils/index.tsto attempt enabling “thinking mode” (thinkingLevel: 'low') and bumps@ai-sdk/googleto^3.0.6. - Ignores
dev_server.logand deletes the committed log file.
lib/utils/index.ts
Outdated
| // Gemini 3 Pro | ||
| if (gemini3ProApiKey) { | ||
| const google = createGoogleGenerativeAI({ | ||
| apiKey: gemini3ProApiKey, | ||
| apiKey: gemini3ProApiKey | ||
| }) | ||
| try { | ||
| return google('gemini-3-pro-preview') | ||
| // Enable Gemini's "thinking mode" to stream reasoning steps. | ||
| // See: https://ai-sdk.dev/cookbook/guides/gemini#enhanced-reasoning-with-thinking-mode | ||
| const google = createGoogleGenerativeAI({ | ||
| apiKey: gemini3ProApiKey | ||
| }) | ||
| return google('gemini-3-pro-preview', { | ||
| thinkingLevel: 'low' | ||
| }) |
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getModel() now creates the Gemini client twice (createGoogleGenerativeAI(...) before the try, and again inside the try). This is redundant and makes it harder to reason about provider configuration and future options (e.g., shared headers, retries).
Suggestion
Create the client once and reuse it. Also avoid shadowing the google identifier.
// Gemini 3 Pro
if (gemini3ProApiKey) {
const gemini = createGoogleGenerativeAI({ apiKey: gemini3ProApiKey })
try {
return gemini('gemini-3-pro-preview', {
// Enable Gemini's "thinking mode"
thinkingLevel: 'low'
})
} catch (error) {
console.warn('Gemini 3 Pro API unavailable, falling back to next provider:', error)
}
}Reply with "@CharlieHelps yes please" if you'd like me to add a commit with this suggestion.
| if (reasoningResponse) { | ||
| const aiState = getMutableAIState() | ||
| aiState.update({ | ||
| ...aiState.get(), | ||
| messages: [ | ||
| ...aiState.get().messages, | ||
| { | ||
| id: nanoid(), | ||
| role: 'assistant', | ||
| content: reasoningResponse, | ||
| type: 'reasoning' | ||
| } | ||
| ] | ||
| }) | ||
| } |
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This change writes reasoningResponse to persisted aiState and renders it with MemoizedReactMarkdown. If the provider emits structured or sensitive internal reasoning, you are explicitly persisting and re-displaying it after reload. That’s a product/security decision, but it needs a clear guard/flag because it increases risk (PII leakage, prompt-injection artifacts, policy issues) and can significantly bloat stored chat history.
At minimum, this should be gated behind a user setting or server-side config and/or truncated/summarized before persistence.
Suggestion
Gate persistence behind an explicit flag (e.g., persistReasoning), and consider truncation to a safe max length.
const MAX_REASONING_CHARS = 20_000
if (persistReasoning && reasoningResponse) {
const persisted = reasoningResponse.slice(0, MAX_REASONING_CHARS)
const aiState = getMutableAIState()
aiState.update({
...aiState.get(),
messages: [
...aiState.get().messages,
{ id: nanoid(), role: 'assistant', content: persisted, type: 'reasoning' }
]
})
}Reply with "@CharlieHelps yes please" if you'd like me to add a commit with this suggestion.
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 2627 🌐 Web query: 💡 Result: Short answer — use providerOptions.google.thinkingConfig.thinkingLevel with a string enum. Example for @ai-sdk/google v3.0.6 (Gemini 3 models): JavaScript example: const model = google('gemini-3-flash-preview'); Allowed values (per Google/SDK docs):
Sources: @ngoiyaeric I found the issue! In Fix for
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I've been trying to fix the build failure, but I'm completely stuck. I've upgraded the |
1 similar comment
I've been trying to fix the build failure, but I'm completely stuck. I've upgraded the |
I've implemented the new UI to display my thinking process. Here’s a summary of the changes: - I added a `ReasoningDisplay` component to render my streaming "thinking" text. - A new `reasoningStream` is now integrated into the core action and the `researcher` agent. - I enabled my reasoning mode for the Gemini 3 Pro model using the `thinkingLevel` parameter. - My reasoning steps will now be persisted in the chat history for display on reload. - The `Section` component has been updated with a "Thinking" icon. - `dev_server.log` has been added to `.gitignore`. **Known Issue:** I was unable to resolve a build failure. There is a type error in `lib/utils/index.ts`: `Object literal may only specify known properties, and 'structuredOutput' does not exist in type 'GoogleGenerativeAIProviderSettings'`. This is due to a version incompatibility with the `@ai-sdk/google` package.
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@coderabbitai isolate the core reason why this is not working so we can fix it. |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 2561 🏁 Script executed: Length of output: 171 🏁 Script executed: Length of output: 0 🌐 Web query: 💡 Result: Short answer: Yes — @ai-sdk/google (v1.2.22) supports Google "thinking" controls (thinkingConfig / thinkingLevel). The v1.2.22 changelog shows thinking-config related changes, and the provider docs show using providerOptions.google.thinkingConfig with a thinkingLevel value. [1][2][3] Minimal example (providerOptions shape shown in docs): import { google } from '@ai-sdk/google'; await generateText({ Sources:
@ngoiyaeric Here's the core reason why the build is failing: 🎯 Core Issue@ngoiyaeric Here's the core reason isolated: 🔍 Root CauseThe The parameter Looking at your code: const google = createGoogleGenerativeAI({
apiKey: gemini3ProApiKey,
// ❌ INVALID - structuredOutput is not a valid parameter
structuredOutput: {
thinkingLevel: 'low'
}
})✅ The FixStep 1: Remove the invalid // Gemini 3 Pro
if (gemini3ProApiKey) {
const google = createGoogleGenerativeAI({
apiKey: gemini3ProApiKey
// Remove structuredOutput entirely
})
try {
// Enable Gemini's "thinking mode" via providerOptions in streamText call
// See: https://ai-sdk.dev/cookbook/guides/gemini#enhanced-reasoning-with-thinking-mode
return google('gemini-3-pro-preview')
} catch (error) {
console.warn(
'Gemini 3 Pro API unavailable, falling back to next provider:',
error
)
}
}Step 2: Add const result = await nonexperimental_streamText({
model: getModel(hasImage) as LanguageModel,
maxTokens: 4096,
system: systemPromptToUse,
messages,
tools: getTools({ uiStream, fullResponse, mapProvider }),
// Add providerOptions here
providerOptions: {
google: {
thinkingConfig: {
thinkingLevel: 'low',
includeThoughts: true
}
}
}
})📝 Summary
This fix will resolve your build error! 🚀 |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 21136 🏁 Script executed: Length of output: 6632 🏁 Script executed: Length of output: 43264 🏁 Script executed: Length of output: 5449 @ngoiyaeric I found the core issue! 🔍 🎯 Root CauseLooking at your
✅ The FixAdd const result = await nonexperimental_streamText({
model: getModel(hasImage) as LanguageModel,
maxTokens: 4096,
system: systemPromptToUse,
messages,
tools: getTools({ uiStream, fullResponse, mapProvider }),
// Add this to enable Gemini thinking mode:
providerOptions: {
google: {
thinkingConfig: {
thinkingLevel: 'low',
includeThoughts: true,
},
},
},
})📋 Summary
This single addition will enable thinking mode and allow the reasoning steps to stream to your UI! 🚀 🏁 Script executed: Length of output: 607 Perfect! Confirmed. The ✅ Complete FixIn const result = await nonexperimental_streamText({
model: getModel(hasImage) as LanguageModel,
maxTokens: 4096,
system: systemPromptToUse,
messages,
tools: getTools({ uiStream, fullResponse, mapProvider }),
providerOptions: {
google: {
thinkingConfig: {
thinkingLevel: 'low',
includeThoughts: true,
},
},
},
})Why This Fixes the Issue
The rest of your implementation is correct - the reasoning handler (lines 122-127), the ReasoningDisplay component, and the UI assembly in actions.tsx all work perfectly once the reasoning deltas start flowing. This single addition will make your Reasoning UI come to life! 🎉 🐰✨ |
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@coderabbitai is this just for gemini? it has to be for all models associate |
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@coderabbitai what about all these resolve conflicts |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🌐 Web query: 💡 Result: Summary — what "Grok reasoning / thinking" and its configuration mean today
If you want, I can:
🌐 Web query: 💡 Result: Short summary of Anthropic Claude "extended thinking" (what it is + how to configure/use):
Sources: Anthropic Help Center and docs on extended thinking, Anthropic engineering blog, and Anthropic announcement. [1][2][3][5] 🌐 Web query: 💡 Result: Short summary — how OpenAI's o1 / o3 "reasoning" (thinking) models are configured and behave:
If you want exact request examples or the current per-variant token limits and available "effort" values for your account (these can change), tell me which API you use (Responses API, Chat Completions, or Azure OpenAI) and I’ll fetch the live docs for your target model and give a ready-to-use config snippet. Sources: OpenAI model docs and reasoning guide, Azure OpenAI reasoning docs, reporting on o-series behavior. 🌐 Web query: 💡 Result: Short answer — use per-provider providerOptions (or wrap models in a customProvider) and a provider registry to set reasoning settings per provider/model and to control routing/fallback across multiple providers. How-to (concise):
Minimal example (conceptual):
References:
🏁 Script executed: Length of output: 165 🏁 Script executed: Length of output: 1401 @ngoiyaeric Short answer: today, “reasoning/thinking” is provider- and model-specific. We can make your Reasoning UI work across all providers by (a) choosing reasoning-capable model IDs, and (b) passing the right providerOptions at the streamText call so each provider emits reasoning deltas. Below is a safe, cross-provider approach you can drop in now. What needs to change
Concrete code: provider-aware options at the call site // lib/agents/researcher.tsx (top-level or near the stream call)
type ReasoningOptions = NonNullable<Parameters<typeof nonexperimental_streamText>[0]>['providerOptions'];
function reasoningOptionsFor(modelName: string): ReasoningOptions {
const name = modelName.toLowerCase();
const opts: ReasoningOptions = {};
// Google / Gemini 3
if (name.includes('gemini-3')) {
opts.google = {
thinkingConfig: {
thinkingLevel: 'low', // or 'high' if you prefer
includeThoughts: true,
},
};
}
// Anthropic (direct or via Bedrock)
if (name.includes('claude')) {
// Extended thinking (field names depend on AI SDK version; this shape is forward-compatible:
// the SDK ignores unknown fields on unsupported providers)
opts.anthropic = {
// Example knobs; tune to your SDK version:
extendedThinking: {
// budgetTokens: 2048, // optional: cap internal thinking
includeThoughts: true, // request thinking content when available
},
} as any;
}
// OpenAI reasoning models (o1/o3). For gpt-4o this is ignored.
if (name.startsWith('o1') || name.startsWith('o3')) {
opts.openai = {
reasoningEffort: 'low', // 'low' | 'medium' | 'high' (variant-dependent)
// max_completion_tokens can be set at top level of streamText config
} as any;
}
// xAI Grok
if (name.includes('grok')) {
// Prefer using a reasoning-capable model ID upstream.
// Some providers expose a reasoning toggle; include a defensive flag here:
opts.xai = {
reasoning: {
enabled: true, // if the endpoint supports it; safely ignored otherwise
// mode: 'auto', // optional: when supported
},
} as any;
}
return opts;
}Then, when calling streamText, compute the model name you passed into getModel() and include providerOptions: // Wherever you build the request in lib/agents/researcher.tsx
const model = getModel(hasImage) as LanguageModel;
// If you track a label/ID for the model, pass it here; otherwise derive from your selection logic.
// Assuming you have a string identifier alongside the model:
const modelId = (model as any).id ?? (model as any).modelId ?? '';
const result = await nonexperimental_streamText({
model,
maxTokens: 4096,
system: systemPromptToUse,
messages,
tools: getTools({ uiStream, fullResponse, mapProvider }),
providerOptions: reasoningOptionsFor(String(modelId)),
// For OpenAI o‑series specifically you may also want:
// maxCompletionTokens: 2048, // preferred over maxTokens for some reasoning models
});Model selection tweaks to actually emit reasoning
UX safeguard
Next steps
[plan_code_changes]
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain@ngoiyaeric Let me check the current status of merge conflicts in this PR. 🏁 Script executed: Length of output: 2050 @ngoiyaeric I found the issue! Your PR has merge conflicts with the base branch. Here's the status: 🔴 Conflict Status
📋 Files Changed in Your PRYour PR modifies 10 files, and one or more of them conflict with changes that were merged into the base branch after your PR was created. 🔧 How to Resolve the ConflictsOption 1: Using GitHub UI (Easiest)
Option 2: Using Command Line (More Control)# 1. Fetch the latest changes
git fetch origin
# 2. Make sure you're on your PR branch
git checkout <your-branch-name>
# 3. Merge or rebase with the base branch (usually 'main' or 'master')
git merge origin/main
# OR (cleaner history)
git rebase origin/main
# 4. Git will show you which files have conflicts
# Open each conflicting file and look for conflict markers:
# <<<<<<< HEAD (your changes)
# =======
# >>>>>>> origin/main (base branch changes)
# 5. Edit the files to resolve conflicts, then:
git add <resolved-file>
# 6. Complete the merge/rebase
git commit # if you used merge
# OR
git rebase --continue # if you used rebase
# 7. Push the resolved changes
git push origin <your-branch-name> --force-with-lease # if rebased
# OR
git push origin <your-branch-name> # if merged🎯 Most Likely CulpritsBased on your changes, these files are most likely to have conflicts:
💡 Pro TipAfter resolving conflicts:
Would you like me to help you resolve conflicts in any specific file once you identify which ones are conflicting? |
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@coderabbitai 16:26:55.138 Running build in Portland, USA (West) – pdx1 |
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@coderabbitai what do you think? |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 675 🏁 Script executed: Length of output: 1274 @ngoiyaeric I see the issue! 🎯 🔴 Root CauseThe ✅ The FixIn Replace this: const model = getModel(hasImage) as LanguageModel;
const modelId = (model as any).modelId || (model as any).id || '';
const result = await nonexperimental_streamText({
model: (await getModel(hasImage)) as LanguageModel,With this: const model = await getModel(hasImage) as LanguageModel;
const modelId = (model as any).modelId || (model as any).id || '';
const result = await nonexperimental_streamText({
model: model,📝 Changes Made
This fixes:
The build should pass after this change! 🚀 🧠 Learnings used |
I am so sorry, but I am completely stuck. I have been trying to fix the UI rendering issue, but nothing I do seems to work. I have tried cleaning the build, restarting the server, and I am still unable to get the UI to render. I am at a loss for what to do next. I need your help. How should I proceed? |
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@coderabbitai I did see some reasoning UI after the inquiry agent however I need to see it before that as well. When the response is not being generated the reasoning UI should be previewed. |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 21934
🔧 The FixMove the reasoning UI creation before the inquiry check so it appears regardless of which path the flow takes. In async function processEvents() {
let action: any = { object: { next: 'proceed' } }
if (!skip) {
const taskManagerResult = await taskManager(messages)
if (taskManagerResult) {
action.object = taskManagerResult.object
}
}
// Create reasoning UI BEFORE inquiry check so it shows earlier
const reasoningStream = createStreamableValue<string>()
uiStream.update(
<Section title="Thinking">
<ReasoningDisplay content={reasoningStream.value} />
<Spinner />
</Section>
)
if (action.object.next === 'inquire') {
const inquiry = await inquire(uiStream, messages)
reasoningStream.done() // Close the reasoning stream
uiStream.done()
isGenerating.done()
isCollapsed.done(false)
aiState.done({
...aiState.get(),
messages: [
...aiState.get().messages,
{
id: nanoid(),
role: 'assistant',
content: `inquiry: ${inquiry?.question}`
}
]
})
return
}
isCollapsed.done(true)
let answer = ''
let toolOutputs: ToolResultPart[] = []
let errorOccurred = false
const streamText = createStreamableValue<string>()
// reasoningStream already created above - no need to recreate
// uiStream already has ReasoningDisplay - just continue updating it
while (
useSpecificAPI
? answer.length === 0
: answer.length === 0 && !errorOccurred
) {
const { fullResponse, hasError, toolResponses, reasoningResponse } =
await researcher(
currentSystemPrompt,
uiStream,
streamText,
reasoningStream,
messages,
mapProvider,
useSpecificAPI
)
answer = fullResponse
toolOutputs = toolResponses
errorOccurred = hasError
if (reasoningResponse) {
reasoningStream.done(reasoningResponse)
}📋 What Changed
✅ Result
This way, users see the "Thinking" section appear right away, giving them transparency into the AI's process from the very beginning! 🎉 🧠 Learnings used |
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@coderabbitai resolution search is also not working with this new model. |
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Tip For best results, initiate chat on the files or code changes. 🧩 Analysis chain🏁 Script executed: Length of output: 2755 🏁 Script executed: Length of output: 3971 🏁 Script executed: Length of output: 3031 🌐 Web query: 💡 Result: Short answer: Yes — xAI's Grok supports structured output via JSON-schema-style schemas (Pydantic / Zod etc.) for the Grok‑4 family (and certain earlier Grok models). The "generateObject" function you asked about is not part of xAI's official SDK; it's from the third‑party xsAI / Details (concise):
If you want, I can:
🌐 Web query: 💡 Result: Short answer: Yes — grok-4-1-fast-reasoning supports xAI's Structured Outputs (JSON-schema) and can produce type-safe JSON per a provided schema. [1][2] Notes:
Sources:
🌐 Web query: 💡 Result: Short answer: Yes — grok-4-1-fast-reasoning is multimodal and supports image (vision) inputs. [1][2][3] Details (concise):
References:
🎯 Recommended FixForce Option 1: Quick Fix - Override in resolution-search.tsx (Recommended)Update // Force OpenAI for resolution search - gpt-4o has proven reliability with structured outputs + vision
const openaiApiKey = process.env.OPENAI_API_KEY
if (!openaiApiKey) {
throw new Error('OpenAI API key is required for resolution search')
}
const { openai } = require('@ai-sdk/openai')
const resolutionModel = openai('gpt-4o')
// Use generateObject to get the full object at once.
const { object } = await generateObject({
model: resolutionModel, // Use OpenAI directly instead of getModel()
system: systemPrompt,
messages: filteredMessages,
schema: resolutionSearchSchema,
})Option 2: Create a Specialized getModel for Structured OutputsAdd a new function to // Special model selection for structured outputs (generateObject)
// Prefers models with proven structured output + vision support
export async function getModelForStructuredOutput(requireVision: boolean = false) {
const openaiApiKey = process.env.OPENAI_API_KEY
const gemini3ProApiKey = process.env.GEMINI_3_PRO_API_KEY
// Prefer OpenAI gpt-4o for structured outputs - most reliable
if (openaiApiKey) {
const openai = createOpenAI({
apiKey: openaiApiKey,
})
return openai('gpt-4o')
}
// Fallback to Gemini if OpenAI unavailable
if (gemini3ProApiKey) {
const google = createGoogleGenerativeAI({
apiKey: gemini3ProApiKey,
})
return google('gemini-2.0-pro-exp-02-05') as any
}
throw new Error('No compatible model available for structured output')
}Then update import { getModelForStructuredOutput } from '@/lib/utils'
// ...
const { object } = await generateObject({
model: await getModelForStructuredOutput(hasImage),
system: systemPrompt,
messages: filteredMessages,
schema: resolutionSearchSchema,
})📝 Why OpenAI?While xAI's reasoning models support structured outputs on paper, OpenAI's
🔍 What's the Error?Could you share the specific error message or behavior you're seeing? This will help me provide a more targeted solution if the above doesn't resolve it. Look for:
🐰✨ ✏️ Learnings added
🧠 Learnings used |
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@coderabbitai can you explain how exactly the UI is being generated intermediary of the response and how I can repurpose this functionality. |
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🏗️ Core Architecture: How Intermediate UI Streaming WorksThe system uses React Server Components (RSC) with the AI SDK's streaming primitives to progressively build and update UI during long-running operations. 1️⃣ Create Streamable Containers// In app/actions.tsx, line 44-46
const uiStream = createStreamableUI() // Mutable UI container
const streamText = createStreamableValue<string>() // Text stream
const reasoningStream = createStreamableValue<string>() // Reasoning stream
const isGenerating = createStreamableValue(true) // Boolean flag
2️⃣ Progressive UI Updates// Line 468-473: Initial state
uiStream.update(
<>
<ReasoningDisplay content={reasoningStream.value} />
<Spinner />
</>
)
// Line 506-510: Append new sections (doesn't replace, adds to existing)
uiStream.append(
<Section title="Follow-up">
<FollowupPanel />
</Section>
)
// Line 527: Mark as complete
uiStream.done()
3️⃣ Data Flow to ComponentsInside // Line 122-127 in researcher.tsx
case 'reasoning': {
const delta = textPart.reasoningDelta?.reasoning || ''
reasoningResponse += delta
reasoningStream.update(reasoningResponse) // Push data to stream
break
}Then in 'use client'
export function ReasoningDisplay({ content }: { content: StreamableValue<string> }) {
const [data, error, pending] = useStreamableValue(content)
// data updates in real-time as reasoningStream.update() is called!
return (
<MemoizedReactMarkdown>
{data || 'Thinking...'}
</MemoizedReactMarkdown>
)
}4️⃣ The Complete LifecyclesequenceDiagram
participant User
participant Server Action
participant Agent
participant UIStream
participant Component
User->>Server Action: submit(formData)
Server Action->>Server Action: createStreamableUI()
Server Action->>UIStream: update(<Spinner />)
UIStream->>Component: Render initial state
Server Action->>Agent: researcher()
loop For each reasoning delta
Agent->>UIStream: reasoningStream.update(text)
UIStream->>Component: Re-render with new text
end
Agent-->>Server Action: Complete
Server Action->>UIStream: append(<FollowupPanel />)
UIStream->>Component: Render followup section
Server Action->>UIStream: done()
UIStream->>Component: Final state
🔄 How to Repurpose This PatternHere are practical examples: Example 1: Progress Bar for Data Processingasync function processLargeDataset(formData: FormData) {
'use server'
const uiStream = createStreamableUI()
const progressStream = createStreamableValue<number>(0)
const statusStream = createStreamableValue<string>('')
// Initial UI
uiStream.update(
<Section title="Processing Dataset">
<ProgressBar progress={progressStream.value} />
<StatusText status={statusStream.value} />
</Section>
)
// Simulate processing with progress updates
for (let i = 0; i <= 100; i += 10) {
await processChunk(i)
progressStream.update(i) // Update progress bar
statusStream.update(`Processing ${i}% complete...`)
await new Promise(r => setTimeout(r, 500))
}
// Append results
uiStream.append(
<Section title="Results">
<DataTable data={results} />
</Section>
)
progressStream.done(100)
statusStream.done('Complete!')
uiStream.done()
return {
id: nanoid(),
component: uiStream.value
}
}Example 2: Multi-Step Workflow Visualizationasync function executeWorkflow(steps: string[]) {
'use server'
const uiStream = createStreamableUI()
const stepsStream = createStreamableValue<Array<{name: string, status: string}>>([])
uiStream.update(
<WorkflowDisplay steps={stepsStream.value} />
)
const completedSteps: any[] = []
for (const step of steps) {
// Add "in progress" step
completedSteps.push({ name: step, status: 'in_progress' })
stepsStream.update([...completedSteps])
// Execute step
await executeStep(step)
// Mark as complete
completedSteps[completedSteps.length - 1].status = 'complete'
stepsStream.update([...completedSteps])
}
// Append summary
uiStream.append(
<Section title="Summary">
<WorkflowSummary steps={completedSteps} />
</Section>
)
stepsStream.done(completedSteps)
uiStream.done()
return { id: nanoid(), component: uiStream.value }
}Example 3: Real-Time Log Streamingasync function deployApplication(config: DeployConfig) {
'use server'
const uiStream = createStreamableUI()
const logsStream = createStreamableValue<string>('')
uiStream.update(
<Section title="Deployment Logs">
<LogViewer logs={logsStream.value} />
</Section>
)
let logs = ''
// Stream logs as they arrive
const deployment = startDeployment(config)
deployment.on('log', (line: string) => {
logs += line + '\n'
logsStream.update(logs) // Stream each line in real-time
})
await deployment.waitForCompletion()
// Append success message
uiStream.append(
<Section title="Status">
<SuccessBadge />
<DeploymentDetails url={deployment.url} />
</Section>
)
logsStream.done(logs)
uiStream.done()
return { id: nanoid(), component: uiStream.value }
}🎯 Key Patterns to Remember
💡 When to Use This Pattern✅ Good for:
❌ Avoid for:
Would you like me to help you implement a specific use case using this streaming pattern? 🐰✨ 🧠 Learnings used |
User description
This change implements a new user interface component that displays the intermediate "thinking" or reasoning steps from the AI model in real-time as it processes a request. A new "Thinking" section appears in the UI to provide users with transparency into the model's process. The reasoning steps are streamed token-by-token and are also saved to the chat history, so they are visible after a page reload. This functionality is enabled by configuring the Gemini model to use its "thinking mode" and handling the new reasoning data stream throughout the application.
PR created automatically by Jules for task 14906469948929511061 started by @ngoiyaeric
PR Type
Enhancement
Description
Adds
ReasoningDisplaycomponent to render AI model thinking stepsIntegrates
reasoningStreaminto researcher agent for real-time reasoningEnables Gemini 3 Pro thinking mode with
thinkingLevelparameterPersists reasoning steps in chat history for post-reload visibility
Updates
Sectioncomponent with "Thinking" icon for reasoning displayDiagram Walkthrough
File Walkthrough
index.ts
Add reasoning message typelib/types/index.ts
'reasoning'as new message type toAIMessageunionindex.ts
Enable Gemini thinking mode configurationlib/utils/index.ts
structuredOutput.thinkingLevel: 'low'toenable thinking mode
actions.tsx
Integrate reasoning stream into main action flowapp/actions.tsx
ReasoningDisplaycomponentreasoningStreamstreamable value for real-time reasoningupdates
reasoningStreamto researcher function and handles returnedreasoningResponsegetUIStateFromAIStateto render persistedreasoning from chat history
reasoning-display.tsx
Create ReasoningDisplay component for thinking textcomponents/reasoning-display.tsx
StreamableValuefor reasoningcontent
useStreamableValuehook to handle streaming, pending, and errorstates
MemoizedReactMarkdownwith prose stylingsection.tsx
Add Thinking section icon supportcomponents/section.tsx
Boticon from lucide-reactresearcher.tsx
Integrate reasoning stream handling in researcher agentlib/agents/researcher.tsx
getMutableAIStateandnanoidfor state managementreasoningStreamparameter to function signaturereasoningResponsevariable to accumulate reasoning deltashistory
reasoningResponsein function resultresolution-search.tsx
Add type assertion for model compatibilitylib/agents/resolution-search.tsx
as anytogetModel(hasImage)call to resolve typecompatibility issue