Environment
Provider: Claude Code (Opus 4 20250514) (MAX 20x)
Current Context Window: 326.6k/200k (exceeding limit by 126.6k tokens)
Project Type: Next.js application with TypeScript
Issue
Experiencing a critical issue where either:
The context window overflow (326.6k/200k) is causing API responses to be truncated, OR
Truncated API responses are preventing proper context window management/clearing
The exact causality is unclear, but the result is a complete inability to continue working once this state is reached.
Observed Behavior
- API response gets truncated mid-stream when creating/modifying files
- Response ends abruptly: "text":"Now I'll create the signup page:\n\n"
- Context window shows 326.6k/200k (63% over limit)
- Automatic context condensing fails to meaningfully reduce size (329,718 >> 326,620)
- /smol command has no effect
- System enters an unrecoverable state
Similar Issue Context
The claude-task-master project encountered a related truncation bug (Issue #913, PR #920):
From their documentation:
"The Task Master CLI relies on the @anthropic-ai/claude-code SDK for local LLM execution. A bug in the Claude-Code CLI layer truncates stdout when the response size crosses several hard cut-off lengths (≈4k, 6k, 8k … 16k characters). When the SDK reads that output line-by-line it attempts JSON.parse(line) and throws a SyntaxError (e.g. 'Unterminated string in JSON at position 8000'). Any downstream consumer—including Task Master—crashes."
This suggests the truncation might be happening at the CLI/SDK layer rather than being purely a context window issue.
Potential Root Causes
- CLI Layer Truncation: Similar to claude-task-master #913, responses may be getting truncated at specific character thresholds
- Context Window Management: The system may not be properly handling context when approaching/exceeding limits
- Circular Failure: Truncated responses might prevent context clearing, which in turn causes more truncations
Impact
- Severity: Critical - Complete work stoppage
- Recovery: None - Must start new conversation, losing all context
Current Workarounds
✗ Automatic context condensing (minimal effect)
✗ /smol command (ineffective)
✗ Manual recovery (impossible due to truncation)
Key Questions for Investigation
- Are responses being truncated at specific character count thresholds (like in claude-task-master)?
- Is the context window genuinely over 326k tokens, or is this a measurement error?
- Why does context condensing reduce so little (329k to 326k)?
- Could implementing claude-task-master's truncation fix help here?
Recommendations
Given the similarity to claude-task-master's issue, investigating their fix (PR #920) may provide insights. Their solution for handling CLI stdout truncation at specific character thresholds could be applicable to this context window/truncation problem.
The issue significantly impacts productivity by requiring complete conversation restarts and loss of working context.
Environment
Provider: Claude Code (Opus 4 20250514) (MAX 20x)
Current Context Window: 326.6k/200k (exceeding limit by 126.6k tokens)
Project Type: Next.js application with TypeScript
Issue
Experiencing a critical issue where either:
The exact causality is unclear, but the result is a complete inability to continue working once this state is reached.
Observed Behavior
Similar Issue Context
The claude-task-master project encountered a related truncation bug (Issue #913, PR #920):
From their documentation:
This suggests the truncation might be happening at the CLI/SDK layer rather than being purely a context window issue.
Potential Root Causes
Impact
Current Workarounds
✗ Automatic context condensing (minimal effect)
✗ /smol command (ineffective)
✗ Manual recovery (impossible due to truncation)
Key Questions for Investigation
Recommendations
Given the similarity to claude-task-master's issue, investigating their fix (PR #920) may provide insights. Their solution for handling CLI stdout truncation at specific character thresholds could be applicable to this context window/truncation problem.
The issue significantly impacts productivity by requiring complete conversation restarts and loss of working context.