perf: Execute Claude memory tool calls concurrently#824
perf: Execute Claude memory tool calls concurrently#824ishaanxgupta wants to merge 1 commit intosupermemoryai:mainfrom
Conversation
EntelligenceAI PR SummaryConverts serial memory tool call processing to parallel execution in
Confidence Score: 5/5 - Safe to MergeSafe to merge — this PR correctly converts serial Key Findings:
Files requiring special attention
|
WalkthroughRefactors memory tool call processing in the test file to replace sequential Changes
🔗 Cross-Repository Impact AnalysisEnable automatic detection of breaking changes across your dependent repositories. → Set up now Learn more about Cross-Repository AnalysisWhat It Does
How to Enable
Benefits
|
![sentry[bot]](https://avatars.githubusercontent.com/in/12637?s=60&v=4){kind=small}
| memoryToolCalls.map((block: any) => { | ||
| console.log("\n🔧 Processing memory tool call:") | ||
| console.log(`Command: ${block.input.command}`) | ||
| console.log(`Path: ${block.input.path}`) | ||
|
|
||
| // Handle the memory tool call | ||
| const toolResult = await handleClaudeMemoryToolCall( | ||
| block, | ||
| SUPERMEMORY_API_KEY, | ||
| { | ||
| projectId: "python-scraper-help", | ||
| memoryContainerTag: "claude_memory_debug", | ||
| }, | ||
| ) | ||
|
|
||
| toolResults.push(toolResult) | ||
| } | ||
| } | ||
| return handleClaudeMemoryToolCall(block, SUPERMEMORY_API_KEY, { | ||
| projectId: "python-scraper-help", | ||
| memoryContainerTag: "claude_memory_debug", | ||
| }) | ||
| }), | ||
| ) |
There was a problem hiding this comment.
Bug: Switching to Promise.all() for tool processing introduces a potential race condition. Concurrent handleClaudeMemoryToolCall operations on the same file can lead to silent data loss due to an unsynchronized read-modify-write pattern.
Severity: MEDIUM
Suggested Fix
Verify the concurrency safety of the Supermemory client.add() method for calls with the same customId. If it is not atomic, introduce a synchronization mechanism (like a mutex or processing tool calls for the same file sequentially) to prevent concurrent read-modify-write operations on the same resource. Alternatively, revert to sequential processing if concurrency is not a strict requirement.
Prompt for AI Agent
Review the code at the location below. A potential bug has been identified by an AI
agent.
Verify if this is a real issue. If it is, propose a fix; if not, explain why it's not
valid.
Location: packages/tools/test/claude-memory-real-example.ts#L127-L138
Potential issue: The change from a sequential `for...of` loop to concurrent processing
with `Promise.all()` for Claude tool calls introduces a potential race condition. The
`handleClaudeMemoryToolCall` function performs a read-modify-write sequence on files
managed by the Supermemory API (`getFileDocument()` to read, then `client.add()` to
write). If Claude sends multiple tool calls that target the same file path concurrently,
these operations can interleave. This could result in one modification being silently
overwritten by another, leading to data loss. While the scenario of Claude sending such
conflicting calls is considered unlikely, the new concurrent execution model makes this
theoretically possible.
Did we get this right? 👍 / 👎 to inform future reviews.
1 participant
This PR refactores the
realClaudeMemoryExampleandprocessClaudeResponsefunctions insidepackages/tools/test/claude-memory-real-example.tsto use Promise.all() to process incoming tool calls in parallel instead of sequentially via a for...of loop.Claude API often sends multiple independent tool calls (like reading multiple distinct paths from memory in a single block). Iterating through and awaiting them individually causes an N+1 problem.