feat(history): "Added support for maintaning sequence in ai response …

[naynisinghal1008]

…in Chat History"

Pull Request

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Pre-submission Checklist

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Thank you for contributing to NeuroLink!

Summary by CodeRabbit

New Features

• Stream operations now capture and propagate detailed event sequences through conversation memory, enhancing observability, debugging, and message history reconstruction.
• Added support for registering in-memory MCP servers, expanding integration capabilities.

_{✏️ Tip: You can customize this high-level summary in your review settings.}

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Walkthrough

The changes add event tracking and propagation throughout the streaming and conversation storage pipeline. A new StreamEventSequence type captures ordered events during streaming, which are recorded via event listeners and propagated to conversation memory managers for persistence in message history and stream results.

Changes

Cohort / File(s)	Summary
Type Definitions src/lib/types/conversation.ts, src/lib/types/streamTypes.ts, src/lib/types/sdkTypes.ts	Added new public type StreamEventSequence with fields for type, sequence number, and timestamp. Extended ChatMessage and StoreConversationTurnOptions with optional events field. Updated StreamResult interface to include optional events array.
Memory Managers src/lib/core/conversationMemoryManager.ts, src/lib/core/redisConversationMemoryManager.ts	Both managers now propagate optional events field to assistant messages during storeConversationTurn, preserving event traces in persisted conversation history.
Streaming Core src/lib/neurolink.ts	Introduced event capture mechanism with listeners for response chunks, tool lifecycle events, and UI components. Events are accumulated in eventSequence during streaming and threaded through to memory storage and stream results. Added new public method addInMemoryMCPServer(). Updated createStreamResponse signature to accept and return optional events array.

Sequence Diagram

sequenceDiagram
    participant Stream as Stream Handler
    participant Listeners as Event Listeners
    participant EventSeq as Event Sequence
    participant Memory as Memory Manager
    participant Result as Stream Result

    Stream->>Listeners: Register event listeners (response:chunk, tool:start/end, etc.)
    
    loop During Streaming
        Stream->>Listeners: Emit events
        Listeners->>EventSeq: captureEvent(type, data)
        EventSeq->>EventSeq: Store {type, seq, timestamp, ...data}
    end
    
    Stream->>Stream: processedStream complete
    EventSeq->>Memory: storeConversationTurn({events: eventSequence})
    Memory->>Memory: Persist assistant message with events
    
    EventSeq->>Result: Attach events to StreamResult
    Listeners->>Listeners: Detach all listeners
    Result->>Result: Return StreamResult with events array

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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

Possibly related PRs

• feat(sdk): Integrate mem0 for better context  #154 — Both PRs modify conversation memory/storage and neurolink streaming pathways to propagate per-turn metadata (events) through the same core files and types.
• feat(memory): Add support to store tool history in redis #161 — Both PRs extend the conversation turn payload with events array and thread it into storeConversationTurn and neurolink stream paths.
• feat(memory): Add conversation memory test suite for NeuroLink stream… #91 — Both PRs modify NeuroLink's streaming flow and conversation-memory storage with event propagation into stored assistant turns.

Suggested labels

released

Suggested reviewers

• murdore

Poem

🐰 Events now flow like streams through rabbit warren,
Each moment captured, no trace shall be forsaken,
From tool to tool and turn to memory's keeping,
The rabbit whispers secrets, forever deep in safekeeping! 🐇✨

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title mentions maintaining sequence in AI response in Chat History, which directly corresponds to the core changes: adding event tracking and propagation through streaming paths to preserve observable event context in conversation history.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

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[github-actions]

🎉 This PR is included in version 8.35.0 🎉

The release is available on:

• npm package (@latest dist-tag)
• GitHub release

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