Fix: Claude Code Slow Response Latency (2026)
The Error
Claude Code CLI responds extremely slowly. You wait over 2 minutes and receive minimal output – sometimes as few as 13 tokens. The session feels frozen but eventually produces a tiny response:
[2+ minute wait for 13 tokens of output]
Quick Fix
- Run
/compactto reduce conversation context size - If that does not help, start a new session (
Ctrl+C, thenclaude) - Check the Anthropic API status page at https://status.anthropic.com
What Causes This
Slow responses in Claude Code have several distinct root causes. Identifying which one applies to your situation is key.
1. Context Window Bloat
The most common cause. Claude Code sends the entire conversation history with every request. After many tool calls, file reads, and responses, the context can grow to hundreds of thousands of tokens. The API must process all of this before generating a response.
From the error logs:
ensureToolResultPairing: repaired missing tool_result blocks
(85 -> 85 messages)
85 messages means a large context. Each API call must process the full history.
2. Lock Acquisition Failures
Error: NON-FATAL: Lock acquisition failed for
/Users/username/.local/share/claude/versions/2.1.92
(expected in multi-process scenarios)
This indicates multiple Claude Code instances are running simultaneously, competing for the same lock file. While marked “non-fatal,” it can cause delays as processes wait for lock availability.
3. Tool Result Message Repair
The error log shows:
ensureToolResultPairing: repaired missing tool_result blocks
This means the conversation history had corrupted tool_use/tool_result pairs. The repair process adds overhead and can indicate deeper session state issues.
Full Solution
Step 1: Diagnose the Cause
# Check if multiple Claude instances are running
ps aux | grep -i claude | grep -v grep
Step 2: Reduce Context Size
/compact
This summarizes the conversation and significantly reduces the input token count. If the session is responsive enough to accept commands, this is the best first step.
Step 3: Kill Competing Instances
# Find all Claude processes
ps aux | grep -i claude | grep -v grep
# Kill any stuck or unwanted instances
kill <PID>
# Start fresh
claude
Step 4: Check API Status
# Quick check from the terminal
curl -s https://status.anthropic.com/api/v2/status.json | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"Status: {data['status']['description']}\")
"
Step 5: Network Diagnostics
# Check latency to Anthropic API
curl -w "@-" -o /dev/null -s "https://api.anthropic.com/v1/messages" <<'EOF'
time_namelookup: %{time_namelookup}\n
time_connect: %{time_connect}\n
time_starttransfer: %{time_starttransfer}\n
time_total: %{time_total}\n
EOF
# Check for DNS issues
dig api.anthropic.com
Prevention
- Compact regularly: do not let context accumulate beyond what is needed for the current task
- Start new sessions for new tasks: do not continue stale conversations
- Kill old sessions: check for zombie Claude processes before starting new work
- Monitor API status: bookmark https://status.anthropic.com
Know your costs → Use our Claude Code Cost Calculator to estimate your monthly spend.
Related Guides
Estimate tokens → Calculate your usage with our Token Estimator.
Try it: Paste your error into our Error Diagnostic for an instant fix.
- Fix: Claude API Error 429 Rate Limit
- Fix: Anthropic SDK Streaming Hangs Indefinitely
- Claude API Error 400 Invalid Request Fix
- Fix: Claude Code Slow Response and Performance
Related Articles
Common Questions
What causes fix: claude code slow response latency issues?
Common causes include misconfigured settings, outdated dependencies, and environment conflicts. Check your project configuration and ensure all dependencies are up to date.
How do I prevent this error from recurring?
Set up automated checks in your development workflow. Use Claude Code’s built-in validation tools to catch configuration issues before they reach production.
Does this fix work on all operating systems?
The core fix applies to macOS, Linux, and Windows. Some path-related adjustments may be needed depending on your OS. Check the platform-specific notes in the guide above.