ADRs: - Update 0008-honor, 0009-courage, 0013-overflow, 0015-plausibility - Add 0017-hosted-coding-assistant-architecture RFCs: - 0032: per-repo AWS profile configuration (draft) - 0033: round-scoped dialogue files (impl + plan) - 0034: comprehensive config architecture (accepted) - 0036: expert output discipline (impl) - 0037: single source protocol authority (draft) - 0038: SDLC workflow discipline (draft) - 0039: ADR architecture greenfield clarifications (impl) - 0040: divorce financial analysis (draft) - 0042: alignment dialogue defensive publication (draft) Spikes: - Read tool token limit on assembled dialogues - RFC ID collision root cause - Expert agent output too long - Judge writes expert outputs - Blue MCP server on superviber infrastructure - Playwright MCP multiple window isolation Dialogues: 16 alignment dialogue records Code: - blue-core: forge module enhancements - blue-mcp: env handlers and server updates - alignment-expert agent improvements - alignment-play skill refinements - install.sh script Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
5 KiB
Spike: Read tool token limit on assembled dialogue documents
| Status | In Progress |
| Date | 2026-01-26 |
| Time Box | 30 minutes |
Question
Why does the alignment dialogue fail with token limit errors when using file-based subagent output?
Root Cause
The error occurs when the Judge agent tries to read the assembled dialogue document after completing all rounds. Individual agent output files are small (~2-3KB each, ~400 words), but the combined dialogue document accumulates:
- 3-6 expert perspectives per round
- Multiple rounds (typically 2-3)
- Each perspective ~400 words
- Plus judge synthesis, tension markers, and metadata
Result: A 4-round dialogue with 5 experts produces ~10KB per round × 4 = ~40KB+, exceeding the Read tool's 25,000 token limit.
Evidence
Error observed:
Read(~/.claude/projects/-Users-ericg-letemcook-fungal-image-analysis/acd9a1b2-29fd-437c-a1
Error: File content (31767 tokens) exceeds maximum allowed tokens (25000)
The path ~/.claude/projects/... is where Claude stores Task output, suggesting the Judge was reading back its own assembled document (not the individual /tmp/blue-dialogue/{slug}/round-N/{agent}.md files).
Already Documented
RFC 0029 (file-based-subagent-output) captured this as Churro T02 (open question at line 159):
When agent output exceeds Write tool buffer limits, should the Task system JSONL approach serve as fallback?
The original dialogue noted:
TENSION T02: Stream vs document modes — when agent output exceeds buffer
What Works
- Individual agent files in
/tmp/blue-dialogue/{slug}/round-N/{agent}.md(~2-3KB each) - Write tool successfully stores agent perspectives
- Round-scoped paths prevent collisions
- Fallback to
blue_extract_dialogue(task_id=...)exists for missing files
What Breaks
- Assembled dialogue documents can exceed Read tool's 25K token limit
- Judge can't verify its own writes to large dialogue files
- No paginated read strategy in the judge protocol
Options
A. Paginated reading
Judge reads dialogue with offset/limit parameters. Requires tracking document structure to know what to skip.
B. Streaming writes, chunk reads
Each round writes to a separate section file. Judge assembles by reading chunks. More complexity.
C. Trust-but-verify pattern
Judge writes without reading back the full document. Only reads individual agent files which stay small. Final document assembly happens at dialogue completion, not during.
D. Summary-based continuation
After each round, Judge writes a summary of accumulated state rather than re-reading the full document. Avoids needing to read large files.
Recommendation
Option C (trust-but-verify) aligns with the file-based approach:
- Judge reads individual agent output files (always small)
- Judge appends to dialogue document without re-reading it
blue_dialogue_savehandles final assembly and validation- Remove any Judge instructions that require reading the full assembled document mid-dialogue
This requires updating build_judge_protocol in dialogue.rs to not instruct the Judge to read back its own document.
Alignment Dialogue Outcome
A 3-expert alignment dialogue reached 100% convergence on an improved architecture:
Dialogue: .blue/docs/dialogues/2026-01-26T1850Z-round-scoped-file-architecture-for-alignment-dialogues.dialogue.recorded.md
Final Architecture
/tmp/blue-dialogue/{slug}/
├─ round-0/
│ ├─ muffin.md ← Agents write (working artifacts)
│ ├─ cupcake.md
│ └─ scone.md
├─ round-0.dialogue.md ← Judge assembles (continuity artifact)
├─ round-1/
│ └─ {agent}.md
├─ round-1.dialogue.md
└─ .archive/ ← Post-round archive (optional)
Key Resolutions
| Tension | Resolution |
|---|---|
| Stateless vs stateful synthesis | Stateful by reference — global tension IDs (T01, T02...) enable cross-round references without copying content |
| What content in synthesis | Full round content — synthesis + all expert perspectives + metadata (~8-12KB per round, safely under 25K) |
| Cross-round tension references | Global namespace — T01, T02, T03... never reused across rounds |
| Dual-write burden on Judge | Necessary separation of concerns — prompt templating (pre-round) and synthesis assembly (post-round) serve different consumers |
Implementation Changes Required
-
Judge reads per round: ~15-20KB max
- Current round agent files (~2-3KB × agents)
- Prior round's
round-N.dialogue.mdonly (~8-12KB) — NOT full history
-
Judge writes per round:
- Agent prompt files (pre-round, templated)
- Round dialogue file (post-round, synthesis + perspectives)
-
Agents read per round:
- All prior
round-N.dialogue.mdfiles for context - Source grounding files specified in prompt
- All prior
This eliminates the token overflow by ensuring no single Read exceeds 25K tokens.