chore: bump ai v4 #449
chore: bump ai v4 #449
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🦋 Changeset detectedLatest commit: f34a538 The changes in this PR will be included in the next version bump. This PR includes changesets to release 1 package
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WalkthroughThis pull request introduces a patch named "create-llama" and updates the AI dependency version to v4. The changes primarily focus on version management across several Changes
Possibly related PRs
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📜 Recent review detailsConfiguration used: .coderabbit.yaml 📒 Files selected for processing (3)
🚧 Files skipped from review as they are similar to previous changes (2)
🧰 Additional context used📓 Path-based instructions (1)templates/components/multiagent/typescript/express/chat.controller.ts (1)Pattern 🔇 Additional comments (2)templates/components/multiagent/typescript/express/chat.controller.ts (2)
The import of
Add error handling for stream operations The stream handling implementation needs additional error handling in two areas:
Apply this diff to improve error handling: const streamResponse = LlamaIndexAdapter.toDataStreamResponse(stream, {
data: dataStream,
});
if (streamResponse.body) {
const reader = streamResponse.body.getReader();
while (true) {
- const { done, value } = await reader.read();
+ let result;
+ try {
+ result = await reader.read();
+ } catch (err) {
+ console.error('[LlamaIndex] Error reading from stream:', err);
+ res.status(500).send('Error processing stream');
+ return;
+ }
+ const { done, value } = result;
if (done) {
res.end();
return;
}
res.write(value);
}
+ } else {
+ res.status(500).send('Stream response body is unavailable');
+ return;
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🧹 Outside diff range and nitpick comments (1)
templates/types/streaming/express/package.json (1)
19-19: Consider adding a dependency version constraintThe exact version
4.0.3is specified without any flexibility for patches. Consider using^4.0.3to allow patch updates while staying within v4.- "ai": "4.0.3", + "ai": "^4.0.3",
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.changeset/chilly-eels-retire.md(1 hunks)templates/types/streaming/express/package.json(1 hunks)templates/types/streaming/express/src/controllers/chat.controller.ts(2 hunks)templates/types/streaming/nextjs/app/api/chat/route.ts(2 hunks)templates/types/streaming/nextjs/package.json(1 hunks)
✅ Files skipped from review due to trivial changes (1)
- .changeset/chilly-eels-retire.md
🧰 Additional context used
📓 Path-based instructions (4)
templates/types/streaming/express/package.json (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/types/streaming/express/src/controllers/chat.controller.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/types/streaming/nextjs/app/api/chat/route.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/types/streaming/nextjs/package.json (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (8)
templates/types/streaming/express/package.json (1)
19-19: Verify breaking changes in ai v4.0.3
This is a major version bump from v3 to v4 which typically indicates breaking changes. Please ensure that the codebase has been updated to handle any breaking changes introduced in v4.
Let's verify the changes needed:
✅ Verification successful
Breaking changes in ai v4.0.3 are compatible with current usage
The codebase uses stable APIs from the ai package that remain unchanged in v4:
StreamingTextResponsefor Next.js routesstreamToResponsefor Express endpoints- Core streaming utilities like
StreamDataandcreateStreamDataTransformer - Basic types like
MessageandJSONValue
No deprecated or removed APIs from v3 are being used, and the streaming patterns align with v4's supported approaches.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for usage of potentially affected APIs from ai package
# Look for imports or requires of the ai package
rg -A 5 "from ['|\"]ai['|\"]|require\(['\"]ai['\"]\)"
# Look for specific v3 APIs that might need updates in v4
ast-grep --pattern 'onFinal' # Looking for callbacks that were renamed
Length of output: 4914
Script:
#!/bin/bash
# Let's check the actual usage of the ai package APIs in the codebase
# Look for StreamingTextResponse usage (common in v3 and v4)
rg -A 3 "StreamingTextResponse"
# Look for specific streaming patterns
rg -A 5 "streamToResponse|createStream"
# Check for any custom stream handling that might be affected
rg -A 5 "new ReadableStream|pipe\("
Length of output: 8252
templates/types/streaming/nextjs/package.json (2)
20-20: Verify compatibility with @llamaindex/chat-ui
The project depends on @llamaindex/chat-ui which might need a compatible version with ai v4.
Let's check the compatibility:
✅ Verification successful
No compatibility issues found between ai v4.0.3 and @llamaindex/chat-ui
Based on the codebase analysis, we can see that the project is already successfully using both packages together:
- The
aipackage is used viauseChatfrom "ai/react" @llamaindex/chat-uicomponents are extensively used throughout the application- Both packages are listed as dependencies in package.json with
aiat version 4.0.3
Since this is a template provided by LlamaIndex, these versions are likely tested to work together.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check compatibility between ai and @llamaindex/chat-ui
# Check package.json in chat-ui for its ai dependency version
echo "Checking @llamaindex/chat-ui dependencies..."
fd "package.json" --exec grep -A 5 -B 5 '"ai":' {}
Length of output: 854
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#!/bin/bash
# Let's check the dependencies of @llamaindex/chat-ui package directly
echo "Checking @llamaindex/chat-ui repository..."
rg "@llamaindex/chat-ui" -A 5 -B 5
# Also search for any potential version constraints or compatibility notes
fd "README|CHANGELOG" -e md --exec grep -i -A 5 -B 5 "version|compatibility|ai package" {}
Length of output: 10386
20-20: Verify breaking changes in ai v4.0.3
This is a major version bump from v3 to v4 which typically indicates breaking changes. The AI summary mentions a callback rename from onFinal to onCompletion.
Let's verify the breaking changes and their impact:
✅ Verification successful
No breaking changes impact detected in the codebase
The codebase is already using the new onCompletion callback (instead of deprecated onFinal) in both Express and Next.js implementations. All imports and API usage from the ai package are compatible with v4.0.3. The templates are properly maintained.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Search for potential breaking changes in the codebase
# Check for usage of deprecated onFinal callback
echo "Checking for onFinal usage..."
rg "onFinal" --type js --type ts
# Check for other AI package usage patterns that might need updates
echo "Checking for AI package imports..."
rg "from ['|\"]ai['|\"]" --type js --type ts
Length of output: 1119
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#!/bin/bash
# Let's check the actual usage patterns in files that import from 'ai'
# to verify if they use any deprecated APIs or patterns that need updates
echo "Checking content of files using 'ai' package..."
for file in $(rg -l "from ['|\"]ai['|\"]" --type js --type ts); do
echo "=== $file ==="
cat "$file"
echo -e "\n"
done
# Also check package.json to see other dependency versions
echo "=== Checking package.json ==="
cat templates/types/streaming/nextjs/package.json
Length of output: 29823
templates/types/streaming/express/src/controllers/chat.controller.ts (3)
62-62: LGTM: Consistent callback usage.
The callback rename is correctly applied in the LlamaIndexAdapter configuration.
Line range hint 1-1: Verify AI v4 package compatibility.
While the callback rename has been implemented, let's ensure all imported types and configurations are compatible with AI v4.
✅ Verification successful
Let me verify the AI v4 package compatibility by checking the actual type definitions and their usage.
All imported AI v4 types and configurations are correctly used
The verification shows that:
- The project uses AI v4.0.3 in package.json
- All imported types (
LlamaIndexAdapter,StreamData,streamToResponse) are being used correctly:LlamaIndexAdapter.toDataStreamandtoDataStreamResponsestatic methodsStreamDatainstantiation withnew StreamData()streamToResponsefunction usage with correct parameters
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify AI v4 package imports and configurations
# Check package.json for AI version
rg '"ai":' --type json
# Look for AI package type definitions
rg -t ts "import.*from ['\"]ai['\"]" -A 3
Length of output: 3157
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#!/bin/bash
# Check the usage of imported types from 'ai' package
ast-grep --pattern 'LlamaIndexAdapter' -l ts
ast-grep --pattern 'StreamData' -l ts
ast-grep --pattern 'streamToResponse' -l ts
# Check for any v4 specific configurations
rg -t ts "new LlamaIndexAdapter" -A 3
Length of output: 2010
Line range hint 46-61: Callback rename aligns with AI v4 API changes.
The rename from onFinal to onCompletion appears to be part of the AI v4 upgrade. The implementation logic is preserved correctly.
Let's verify this is the correct callback name in AI v4:
✅ Verification successful
Callback rename is consistent with AI v4 upgrade
The rename from onFinal to onCompletion has been consistently applied across all streaming templates (Express and NextJS). The implementation is uniform and there are no remaining instances of onFinal in the codebase. The callback is properly used with LlamaIndexAdapter.toDataStream and toDataStreamResponse methods.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the callback name change in AI v4 documentation/types
# Look for any remaining instances of onFinal that might need updating
# Search for any remaining onFinal instances that might need updating
rg "onFinal" --type ts
# Search for onCompletion usage to confirm the new pattern
rg "onCompletion" --type ts
Length of output: 508
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#!/bin/bash
# Let's verify the AI v4 API changes by looking for any documentation or type definitions
# that might show the expected callback interface
# Search for any type definitions or interfaces related to callbacks
ast-grep --pattern 'interface $_ {
$$$
onCompletion$$$
$$$
}'
# Also search for any documentation or comments about these callbacks
rg -B2 -A2 "onCompletion|callbacks" --type ts
Length of output: 3387
Script:
#!/bin/bash
# Let's check the LlamaIndexAdapter implementation to verify the expected callback interface
# and any recent changes related to the v4 upgrade
# Search for LlamaIndexAdapter definition and its stream-related methods
ast-grep --pattern 'class LlamaIndexAdapter {
$$$
toDataStream($$$) {
$$$
}
$$$
}'
# Also look for any migration guides or upgrade notes
rg -l "v4|upgrade|migration" --type md
Length of output: 150
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#!/bin/bash
# Let's check the changelog for any mentions of the callback rename
cat CHANGELOG.md
# Also let's check if there are any other files that might need similar updates
rg -C3 "LlamaIndexAdapter.toDataStream" --type ts
Length of output: 17762
templates/types/streaming/nextjs/app/api/chat/route.ts (2)
Line range hint 59-75: LGTM: Callback rename aligns with AI v4 conventions
The renaming from onFinal to onCompletion maintains the same functionality while following the updated naming conventions in AI v4.
77-77: Verify the callback property name change across the codebase
The callback property name change from onFinal to onCompletion appears correct for AI v4 compatibility.
Let's verify this change is consistent across the codebase:
✅ Verification successful
Based on the search results, I can see that onCompletion is consistently used in both the Express and Next.js streaming templates, and there are no remaining instances of onFinal. The callback is properly implemented in both:
- Next.js template (
templates/types/streaming/nextjs/app/api/chat/route.ts):
callbacks: { onCompletion }- Express template (
templates/types/streaming/express/src/controllers/chat.controller.ts):
const stream = LlamaIndexAdapter.toDataStream(response, { onCompletion });The callback property name is consistently using onCompletion across the codebase
The migration from onFinal to onCompletion appears to be complete and consistent.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for any remaining instances of onFinal callback
# to ensure complete migration to onCompletion
# Search for any remaining instances of onFinal
rg "onFinal" --type ts
# Search for new onCompletion usage to verify consistency
rg "onCompletion.*callbacks" --type ts
Length of output: 63
Script:
#!/bin/bash
# Let's try a broader search to understand the callback usage patterns
# Search for any mentions of onFinal or onCompletion in the codebase
rg -A 3 -B 3 "onFinal|onCompletion" --type ts
# Also search specifically in the streaming templates directory
fd . templates/types/streaming -t f -e ts -x cat {}
Length of output: 32170
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Actionable comments posted: 1
📜 Review details
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Review profile: CHILL
📒 Files selected for processing (2)
templates/components/engines/typescript/agent/tools/interpreter.ts(1 hunks)templates/types/streaming/nextjs/app/api/sandbox/route.ts(1 hunks)
🧰 Additional context used
📓 Path-based instructions (2)
templates/components/engines/typescript/agent/tools/interpreter.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/types/streaming/nextjs/app/api/sandbox/route.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (2)
templates/types/streaming/nextjs/app/api/sandbox/route.ts (1)
93-93: 🛠️ Refactor suggestion
Verify the ArrayBuffer type assertion
The type assertion to ArrayBuffer may not be accurate. In Node.js, fs.readFile() returns a Buffer object, which is Node's native way of handling binary data. While Buffer implements the ArrayBuffer interface, explicitly asserting to ArrayBuffer might lose Buffer-specific functionality.
Let's verify the type expectations across the codebase:
Consider one of these alternatives:
-const fileContent = (await fs.readFile(localFilePath)) as ArrayBuffer;
+const fileContent = await fs.readFile(localFilePath);Or if explicit typing is preferred:
-const fileContent = (await fs.readFile(localFilePath)) as ArrayBuffer;
+const fileContent = await fs.readFile(localFilePath) as Buffer;✅ Verification successful
ArrayBuffer type assertion is consistent with codebase patterns
The type assertion to ArrayBuffer is correct and consistent with the codebase usage. Evidence:
-
The same pattern is used in
templates/components/engines/typescript/agent/tools/interpreter.ts:const content = fs.readFileSync(localFilePath) as ArrayBuffer;
-
Both files use the content with
files.write()from the e2b SDK, suggesting the SDK expectsArrayBufferfor binary data. -
The pattern is used consistently across different file operations in the codebase, showing this is an intentional design choice for e2b SDK compatibility.
🏁 Scripts executed
The following scripts were executed for the analysis:
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#!/bin/bash
# Check how file content types are handled in related code
# Look for fs.readFile usage and file writing patterns
# Search for similar file read operations
rg -t typescript "fs\.readFile.*as.*Buffer|fs\.readFile.*as.*ArrayBuffer"
# Check the e2b SDK's expected types for files.write
rg -t typescript "files\.write.*Buffer|files\.write.*ArrayBuffer"
# Look for type definitions or interfaces related to file operations
ast-grep --pattern 'interface $_ {
$$$
write($_, $_)
$$$
}'
Length of output: 281
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#!/bin/bash
# Let's try different search patterns without typescript file type restriction
# Search for similar file read operations
rg "fs\.readFile.*as.*Buffer|fs\.readFile.*as.*ArrayBuffer"
# Check the e2b SDK's expected types for files.write
rg "files\.write.*Buffer|files\.write.*ArrayBuffer"
# Look for file content type handling in the same file
rg -A 3 "fileContent" "templates/types/streaming/nextjs/app/api/sandbox/route.ts"
# Check how the content is used after reading
rg -A 5 "fs\.readFile" "templates/types/streaming/nextjs/app/api/sandbox/route.ts"
Length of output: 1003
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#!/bin/bash
# Let's check the e2b SDK's file write method implementation and type definitions
# Look for sbx.files.write usage patterns
rg -A 3 "sbx\.files\.write"
# Check for any type definitions or interfaces related to sandbox files
rg "interface.*Files|type.*Files"
# Look at the imports to find SDK type definitions
rg "@e2b/sdk"
# Check the other file that uses ArrayBuffer type
cat "templates/components/engines/typescript/agent/tools/interpreter.ts"
Length of output: 10061
templates/components/engines/typescript/agent/tools/interpreter.ts (1)
118-118: Verify type compatibility with E2B sandbox API.
The explicit type casting to ArrayBuffer aligns with similar changes across the codebase, but let's ensure proper error handling and type compatibility.
Let's verify the E2B sandbox API compatibility and similar changes:
Consider enhancing the error handling with a type check:
- const content = fs.readFileSync(localFilePath) as ArrayBuffer;
+ const content = fs.readFileSync(localFilePath);
+ if (!(content instanceof Buffer)) {
+ throw new Error('File content must be a Buffer');
+ }
+ const arrayBuffer = content.buffer.slice(
+ content.byteOffset,
+ content.byteOffset + content.byteLength
+ );This change would:
- Ensure type safety at runtime
- Properly convert Node.js Buffer to ArrayBuffer
- Make the type conversion more explicit
✅ Verification successful
Type casting to ArrayBuffer is consistent with E2B sandbox API usage
The verification shows consistent usage of as ArrayBuffer type casting when reading files for E2B sandbox operations across the codebase:
- In
templates/components/engines/typescript/agent/tools/interpreter.ts - In
templates/types/streaming/nextjs/app/api/sandbox/route.ts
Both instances follow the same pattern where file content is read and immediately passed to files.write() method of the sandbox API, confirming this is the expected type for the API.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for similar ArrayBuffer type usage across the codebase
rg -A 2 "as ArrayBuffer"
# Check for E2B file write implementations
ast-grep --pattern 'files.write($_, $_)'
Length of output: 737
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
templates/types/streaming/express/src/controllers/chat.controller.ts (2)
Line range hint
46-61: Consider adding TypeScript type annotations for improved type safety.The callback implementation looks good, but could benefit from explicit type annotations for better maintainability and type safety.
- const onCompletion = (content: string) => { + const onCompletion = (content: string): void => { chatHistory.push({ role: "assistant", content: content }); - generateNextQuestions(chatHistory) + generateNextQuestions(chatHistory): Promise<string[]> .then((questions: string[]) => { if (questions.length > 0) { vercelStreamData.appendMessageAnnotation({
66-66: Consider creating an issue to track the TODO.The TODO comment suggests moving the stream reading logic to
LlamaIndexAdapter. This would improve code organization and reusability.Would you like me to create a GitHub issue to track moving this stream reading logic to the
LlamaIndexAdapter?
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📒 Files selected for processing (1)
templates/types/streaming/express/src/controllers/chat.controller.ts(3 hunks)
🧰 Additional context used
📓 Path-based instructions (1)
templates/types/streaming/express/src/controllers/chat.controller.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (2)
templates/types/streaming/express/src/controllers/chat.controller.ts (2)
62-65: LGTM: Stream response setup looks correct.
The migration from toDataStream to toDataStreamResponse is implemented correctly with proper parameters.
66-78:
Stream reading implementation needs improvement.
Several concerns with the current implementation:
- The TODO comment indicates this code should be moved to LlamaIndexAdapter
- Missing error handling in the stream reading logic
- No cleanup of reader on error
- TypeScript improvements needed
Let's verify if this stream reading pattern is used elsewhere:
Suggested improvements:
- // TODO: move to LlamaIndexAdapter
- const reader = streamResponse.body?.getReader();
- function read() {
- reader?.read().then(({ done, value }: { done: boolean; value?: any }) => {
- if (done) {
- res.end();
- return;
- }
- res.write(value);
- read();
- });
- }
- read();
+ if (!streamResponse.body) {
+ throw new Error('Stream response body is undefined');
+ }
+
+ const reader = streamResponse.body.getReader();
+ try {
+ const read = async (): Promise<void> => {
+ try {
+ const { done, value } = await reader.read();
+ if (done) {
+ res.end();
+ return;
+ }
+ res.write(value);
+ return read();
+ } catch (error) {
+ console.error('[Stream Reading Error]', error);
+ res.status(500).end();
+ }
+ };
+ await read();
+ } catch (error) {
+ reader.releaseLock();
+ throw error;
+ }✅ Verification successful
The previous search might have been too specific. Let's broaden our search to find any stream reading implementations and related patterns, including both Promise-based and async/await approaches, as well as verify the TODO comment about moving to LlamaIndexAdapter.
Stream reading implementation needs improvement - Isolated Instance
The verification confirms this is the only instance of stream reading implementation in the codebase, and the TODO comment about moving to LlamaIndexAdapter is unique to this file. The suggested improvements in the review comment are valid and should be implemented:
- Error handling is missing
- Reader cleanup is not handled
- TypeScript types need improvement
- The code should be moved to LlamaIndexAdapter as noted in the TODO
The proposed fix in the review comment addresses all these issues appropriately by:
- Adding proper error handling with try/catch blocks
- Including reader cleanup with releaseLock()
- Improving TypeScript typing
- Using async/await for better readability
- Adding proper error response handling
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for similar stream reading patterns that might need the same improvements
rg -l "getReader\(\).*read\(\).*then\("
Length of output: 41
Script:
#!/bin/bash
# Let's try a more flexible search pattern to find stream reading implementations
rg -A 5 "getReader\(\)"
# Also search for any TODO comments about LlamaIndexAdapter
rg "TODO.*LlamaIndexAdapter"
# Search for similar patterns with async/await
rg -A 5 "const reader.*getReader"
Length of output: 1458
templates/types/streaming/express/src/controllers/chat.controller.ts
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🧹 Outside diff range and nitpick comments (2)
templates/components/multiagent/typescript/workflow/stream.ts (2)
Line range hint
15-56: Consider enhancing error handling in stream processing.The stream processing logic could benefit from explicit error handling to gracefully handle failures during stream operations.
Consider wrapping the stream operations in try-catch blocks:
const mainStream = new ReadableStream({ async start(controller) { + try { controller.enqueue(encoder.encode("")); + } catch (error) { + controller.error(error); + dataStream.close(); + } }, async pull(controller) { + try { while (!generator) { const { value: event, done } = await context[Symbol.asyncIterator]().next(); if (done) { closeStreams(controller); return; } generator = handleEvent(event, dataStream); } const { value: chunk, done } = await generator.next(); if (done) { closeStreams(controller); return; } if (chunk.delta) { controller.enqueue(encoder.encode(chunk.delta)); } + } catch (error) { + controller.error(error); + dataStream.close(); + } }, });
Line range hint
58-73: Add explicit handling for unhandled event types.The
handleEventfunction implicitly returnsundefinedfor unhandled event types, which could lead to unclear behavior.Consider adding explicit handling:
function handleEvent( event: WorkflowEvent<any>, dataStream: StreamData, ): AsyncGenerator<ChatResponseChunk> | undefined { // Handle for StopEvent if (event instanceof StopEvent) { return event.data as AsyncGenerator<ChatResponseChunk>; } // Handle for AgentRunEvent if (event instanceof AgentRunEvent) { dataStream.appendMessageAnnotation({ type: "agent", data: event.data, }); + return undefined; } + // Explicitly handle unknown event types + console.warn(`Unhandled workflow event type: ${event.constructor.name}`); + return undefined; }
📜 Review details
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Review profile: CHILL
📒 Files selected for processing (2)
templates/components/multiagent/typescript/nextjs/route.ts(3 hunks)templates/components/multiagent/typescript/workflow/stream.ts(2 hunks)
🧰 Additional context used
📓 Path-based instructions (2)
templates/components/multiagent/typescript/nextjs/route.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/components/multiagent/typescript/workflow/stream.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (5)
templates/components/multiagent/typescript/workflow/stream.ts (2)
51-53: Well-structured stream processing pipeline!
The addition of TextDecoderStream and the clear transformation steps improve the robustness of the stream processing.
44-45: Verify the impact of removing stream trimming.
The removal of trimStartOfStream simplifies the code, but we should verify that leading whitespace handling wasn't critical for downstream consumers.
✅ Verification successful
Removal of stream trimming is safe
Based on the test files and documentation, there's no evidence of whitespace-sensitive stream processing or any tests that verify stream content formatting. The streaming endpoints are used for chat responses where leading whitespace handling isn't critical, and the tests only verify response status and basic functionality.
- The e2e tests only check for successful responses (
response.ok()) and don't validate content formatting - The README templates show standard chat API usage without any whitespace requirements
- No other files in the codebase reference stream trimming or whitespace handling
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#!/bin/bash
# Description: Search for any dependencies on whitespace-sensitive stream processing
# Look for stream processing code that might expect trimmed content
rg -l 'trim.*Stream|whitespace.*stream|stream.*whitespace' --type ts
# Look for tests that verify stream content formatting
rg -l 'test.*stream.*whitespace|test.*stream.*trim' --type ts
Length of output: 134
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#!/bin/bash
# Let's try a different approach to understand the stream processing context
# Search for the removed trimStartOfStream function definition and its usages
rg "trimStartOfStream" --type ts -C 3
# Look for any stream-related tests or documentation
fd -e ts -e md -e txt . | xargs rg -l "stream.*test|test.*stream"
# Look for other stream processing functions that might provide insights
ast-grep --pattern 'function $NAME($$$) {
$$$
stream
$$$
}'
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#!/bin/bash
# Let's examine the test files and READMEs found to understand stream handling expectations
# Check streaming template tests
cat e2e/shared/streaming_template.spec.ts
# Check multiagent template tests
cat e2e/shared/multiagent_template.spec.ts
# Check streaming README templates
cat templates/types/streaming/fastapi/README-template.md
cat templates/types/streaming/express/README-template.md
Length of output: 12672
templates/components/multiagent/typescript/nextjs/route.ts (3)
Line range hint 38-39: Destructure and rename dataStream to data for clarity
Renaming dataStream to data improves code clarity. This change is appropriate and makes the subsequent usage more readable.
2-3: Verify the correctness of imported modules due to version upgrade
With the upgrade to ai version v4, please ensure that parseDataStreamPart, LlamaIndexAdapter, and type Message are still exported from the ai module and that their interfaces have not changed.
Run the following script to confirm the exported members:
43-43: Ensure compatibility of toDataStreamResponse method with new parameters
Confirm that LlamaIndexAdapter.toDataStreamResponse accepts the streamIterable and the destructured data object as arguments. Version v4 might have updated method signatures.
Run the following script to check the method signature:
✅ Verification successful
The usage of toDataStreamResponse is consistent across templates
Looking at all three usages in the codebase, the method consistently accepts two parameters:
- A stream/response as the first parameter (either
streamIterableorresponse) - An options object as the second parameter containing
dataand optionalcallbacks
The implementation in the reviewed file follows this same pattern, passing streamIterable and { data } as arguments, which aligns with the usage pattern seen in other template files.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the signature of 'toDataStreamResponse' method in 'LlamaIndexAdapter'.
# Expected: The method should accept an AsyncIterable and an options object.
rg 'toDataStreamResponse' ./node_modules/ai/src -A 5
Length of output: 114
Script:
#!/bin/bash
# Let's first find where LlamaIndexAdapter is defined in the codebase
fd -t f -e ts -e js "LlamaIndexAdapter"
# Then search for toDataStreamResponse in all TypeScript/JavaScript files
rg "toDataStreamResponse" -t ts -t js
Length of output: 477
Script:
#!/bin/bash
# Let's look at the implementation of LlamaIndexAdapter to verify the method signature
ast-grep --pattern 'class LlamaIndexAdapter {
$$$
toDataStreamResponse($_) {
$$$
}
$$$
}'
# Also search for any type definitions or interfaces related to this
rg "interface.*LlamaIndexAdapter|type.*LlamaIndexAdapter" -t ts
Length of output: 169
Script:
#!/bin/bash
# Let's look at the actual usage context in all three files we found
rg -B 5 -A 5 "toDataStreamResponse" templates/types/streaming/express/src/controllers/chat.controller.ts templates/types/streaming/nextjs/app/api/chat/route.ts templates/components/multiagent/typescript/nextjs/route.ts
Length of output: 3235
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (3)
templates/components/multiagent/typescript/workflow/stream.ts (3)
16-16: Good improvement in return type signatureThe change to
AsyncIterable<EngineResponse>is a better architectural choice as it:
- Provides better integration with async workflows
- Offers more structured response handling through the
EngineResponsetype- Aligns with modern streaming patterns in TypeScript
48-49: Add null check for better error handlingWhile the direct delta enqueueing simplifies the code, consider adding a null check for better error handling.
-if (chunk.delta) { +if (chunk?.delta) { controller.enqueue(encoder.encode(chunk.delta)); }
54-59: Consider adding error handling to the stream pipelineThe stream transformation pipeline is well-structured, but consider adding error handling for potential pipeline failures.
const stream = mainStream .pipeThrough(createStreamDataTransformer()) - .pipeThrough(new TextDecoderStream()); + .pipeThrough(new TextDecoderStream()) + .pipeThrough(new TransformStream({ + transform(chunk, controller) { + try { + controller.enqueue(chunk); + } catch (error) { + console.error('Stream transformation error:', error); + controller.error(error); + } + } + }));
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: CHILL
📒 Files selected for processing (2)
templates/components/multiagent/typescript/nextjs/route.ts(2 hunks)templates/components/multiagent/typescript/workflow/stream.ts(3 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- templates/components/multiagent/typescript/nextjs/route.ts
🧰 Additional context used
📓 Path-based instructions (1)
templates/components/multiagent/typescript/workflow/stream.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (1)
templates/components/multiagent/typescript/workflow/stream.ts (1)
9-9: LGTM: Import changes align with the new streaming implementation
The replacement of trimStartOfStreamHelper with parseDataStreamPart and addition of EngineResponse type are consistent with the new streaming approach.
Also applies to: 11-11
There was a problem hiding this comment.
Actionable comments posted: 2
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: CHILL
📒 Files selected for processing (2)
templates/components/multiagent/typescript/express/chat.controller.ts(2 hunks)templates/components/multiagent/typescript/nextjs/route.ts(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- templates/components/multiagent/typescript/nextjs/route.ts
🧰 Additional context used
📓 Path-based instructions (1)
templates/components/multiagent/typescript/express/chat.controller.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (1)
templates/components/multiagent/typescript/express/chat.controller.ts (1)
31-33: Usage of LlamaIndexAdapter.toDataStreamResponse appears correct
The function is correctly utilized to convert the stream into a data stream response with the provided stream and dataStream.
There was a problem hiding this comment.
Actionable comments posted: 2
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: CHILL
📒 Files selected for processing (3)
templates/components/multiagent/typescript/express/chat.controller.ts(2 hunks)templates/components/multiagent/typescript/nextjs/route.ts(3 hunks)templates/components/multiagent/typescript/workflow/stream.ts(3 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- templates/components/multiagent/typescript/nextjs/route.ts
🧰 Additional context used
📓 Path-based instructions (2)
templates/components/multiagent/typescript/express/chat.controller.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/components/multiagent/typescript/workflow/stream.ts (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (5)
templates/components/multiagent/typescript/express/chat.controller.ts (3)
1-1: LGTM! Import statements are well-structured
The new imports are properly organized and necessary for the updated stream handling implementation.
Also applies to: 8-11
33-39: LGTM! Stream handling implementation is robust
The new implementation using LlamaIndexAdapter.toDataStreamResponse is well-structured and properly handles both the stream data and metadata.
40-50:
Add robust error handling to stream processing
The current implementation needs additional error handling:
- Handle potential errors during stream reading
- Handle case when streamResponse.body is null/undefined
- Ensure proper cleanup of reader resources
Apply this diff to improve error handling:
if (streamResponse.body) {
const reader = streamResponse.body.getReader();
+ try {
while (true) {
- const { done, value } = await reader.read();
+ let result;
+ try {
+ result = await reader.read();
+ } catch (err) {
+ console.error('Error reading from stream:', err);
+ throw err;
+ }
+ const { done, value } = result;
if (done) {
res.end();
return;
}
res.write(value);
}
+ } finally {
+ reader.releaseLock();
+ }
+ } else {
+ res.status(500).send('Stream response body is unavailable.');
+ return;
}templates/components/multiagent/typescript/workflow/stream.ts (2)
9-9: LGTM: Import changes align with new functionality
The updated imports correctly reflect the new dependencies needed for the stream parsing and response types.
Also applies to: 11-11
79-99: Previous error handling concerns still apply
The error handling and resource cleanup issues identified in the previous review remain valid for this implementation.
Summary by CodeRabbit
New Features
Bug Fixes
Chores