⚡ Bolt: [performance improvement] Batch multi-repository searches

[ishaanxgupta]

💡 What: Replaced sequential iteration over repositories in _search_symbols and _search_files with batched asyncio.gather requests that collect results concurrently, followed by a flat mapping of the results.

🎯 Why: To solve an N+1 query bottleneck. Previously, if the repo parameter was not provided, the CodeRetrievalPipeline would run await self._search_namespace on each attached repository one by one. This forced the pipeline's latency to scale linearly with the number of attached repositories.

📊 Impact: Reduces multi-repository search latency by O(N), where N is the number of attached repositories. For an organization with 10 repositories, this effectively transforms 10 sequential network/database calls into 1 concurrent block, yielding nearly a 10x speedup for those operations.

🔬 Measurement: A benchmarking script simulating the network latency confirmed a drop from 1.00s (sequential) to 0.10s (concurrent) for 10 mock repositories. To verify in production, measure the end-to-end execution time of run() on queries omitting the repo argument before and after this change.

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PR created automatically by Jules for task 4929642124094257111 started by @ishaanxgupta

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