Opus 4.6 Capabilities
Claude Opus 4.6 brings transformative capabilities to the Claude Copilot framework with a 1M token context window and adaptive thinking.
Overview
Claude Opus 4.6 represents a significant leap in model capabilities:
| Capability | Opus 4.6 | Previous (Opus 4) | Impact on Framework |
|---|---|---|---|
| Context Window | 1M tokens | 200K tokens | 5x larger context, less compaction needed |
| Output Tokens | 128K | 16K | 8x larger responses, enables comprehensive work products |
| Adaptive Thinking | Effort parameter (low/medium/high/max) | None | Controlled reasoning depth per task |
| Context Compaction | Native API | Manual | Automatic context management |
| Agent Teams | Multi-agent orchestration | None | Experimental parallel execution |
| Agentic Coding | Enhanced | Standard | Improved code understanding and generation |
What Changed in Claude Copilot
The framework has been modernized to leverage Opus 4.6 capabilities while maintaining backward compatibility.
1. Effort Parameter Replaces Model Selection
Previous approach (legacy): Tasks routed to different models (haiku/sonnet/opus) based on complexity.
New approach (Opus 4.6): All tasks use Opus 4.6 with varying effort levels.
| Effort Level | Use When | Reasoning Depth | Cost Impact |
|---|---|---|---|
low |
Trivial tasks, quick fixes, typos | Minimal thinking | Lowest |
medium |
Standard implementation, simple features | Moderate reasoning | Medium |
high |
Default for most tasks | Full reasoning | Standard |
max |
Complex architecture, critical design | Deep extended thinking | Highest |
Code example:
// Effort-based routing (Opus 4.6)
import { routeToModel } from 'ecomode/model-router';
const result = routeToModel({
title: 'Design authentication architecture',
fileCount: 10,
agentId: 'ta'
});
// result.route.effortLevel = 'max' (high complexity detected)
// result.route.model = 'opus' (Opus 4.6)
Complexity-to-Effort Mapping:
| Complexity Score | Effort Level | Rationale |
|---|---|---|
| < 0.3 | low | Trivial tasks, fast responses |
| 0.3 - 0.7 | high | Standard tasks, default depth |
| > 0.7 | max | Architecture/design, deep reasoning |
Note: medium effort is reserved for future use or explicit overrides.
2. Magic Keyword Changes (Breaking)
Magic keywords now control effort levels instead of model selection.
Breaking change:
| Keyword | Old Behavior (Legacy) | New Behavior (Opus 4.6) |
|---|---|---|
eco: |
Auto-select model | effort: low |
fast: |
Force Haiku | effort: medium |
max: |
N/A | effort: max |
Migration guide:
# Old (legacy):
/protocol fast: fix the login bug
# → Routed to Haiku model
# New (Opus 4.6):
/protocol fast: fix the login bug
# → Opus 4.6 with effort: medium
# To get truly fast execution with low effort:
/protocol eco: fix the login bug
# → Opus 4.6 with effort: low
All keywords:
eco: → effort: low (cost-optimized, minimal thinking)
fast: → effort: medium (balanced speed and quality)
max: → effort: max (deep reasoning, highest quality)
Model-specific keywords removed: opus:, sonnet:, haiku: are deprecated. All tasks use Opus 4.6 with varying effort.
3. Relaxed Main Session Guardrails
Context limits increased to leverage 1M token window.
File read limits:
| Limit | Old (Opus 4) | New (Opus 4.6) | Rationale |
|---|---|---|---|
| MUST NEVER read | >3 files | None (removed) | 1M context supports larger exploration |
| SHOULD AVOID reading | None | >8 files | Soft guideline, prefer delegation for large tasks |
Token budgets:
| Task Type | Old (Opus 4) | New (Opus 4.6) | Increase |
|---|---|---|---|
| Research + Plan | ~500 tokens | ~2,000 tokens | 4x |
| Implementation | ~500 tokens | ~2,000 tokens | 4x |
| Full initiative | ~2,000 tokens | ~8,000 tokens | 4x |
Compaction thresholds:
| Metric | Old (Opus 4) | New (Opus 4.6) | Increase |
|---|---|---|---|
| Agent response limit | 4,096 tokens | 16,384 tokens | 4x |
| Compaction threshold (85%) | 3,482 tokens | 13,927 tokens | 4x |
Agent handoff limits:
| Limit | Old (Opus 4) | New (Opus 4.6) | Increase |
|---|---|---|---|
| Handoff summary max | 50 chars | 200 chars | 4x |
CRITICAL vs. SHOULD rules:
Main session guardrails now split into two tiers:
What You MUST NEVER Do:
- Write implementation code (delegate to
@agent-me) - Create detailed plans (delegate to
@agent-ta) - Use generic agents (Explore, Plan, general-purpose)
What You SHOULD AVOID:
- Read more than 8 files (prefer delegation for large exploration)
- Return detailed analysis (store as work product)
4. Ecomode Model Router Refactor
The Ecomode model router has been refactored to separate effort selection from model routing.
Old architecture:
Task → Complexity Score → Model (haiku/sonnet/opus)
New architecture (Opus 4.6):
Task → Complexity Score → Effort Level (low/medium/high/max)
→ Model (always opus for complex tasks)
Type changes:
// New type: EffortLevel
type EffortLevel = 'low' | 'medium' | 'high' | 'max';
// ModelRoute now includes effort
interface ModelRoute {
model: 'haiku' | 'sonnet' | 'opus';
confidence: number;
reason: string;
isOverride: boolean;
costTier: 'low' | 'medium' | 'high';
effortLevel: EffortLevel; // NEW
}
Key files:
ecomode/model-router.ts- Routing logic with effort parameterecomode/complexity-scorer.ts- Unchanged (complexity scoring)types/omc-features.ts- Type definitions
Agent Teams Coexistence Strategy
Opus 4.6 introduces experimental Agent Teams for multi-agent orchestration. How does this relate to Claude Copilot's orchestration?
Recommendation: COEXIST
Claude Copilot orchestration and Agent Teams serve different use cases.
| Use Case | Use | Why |
|---|---|---|
| Ad-hoc collaboration | Agent Teams | Natural language coordination, no setup |
| Structured initiatives | Claude Copilot orchestration | Task tracking, work products, recovery, audit trail |
| Quick prototypes | Agent Teams | Fast iteration without framework overhead |
| Production systems | Claude Copilot orchestration | Quality gates, git integration, persistent memory |
| Exploratory work | Agent Teams | Flexible agent interaction without PRD structure |
| Multi-phase projects | Claude Copilot orchestration | Checkpoints, stream isolation, progress tracking |
When to Use Agent Teams
Ideal scenarios:
# Quick exploration without formal tracking
"@agent-ta and @agent-sec, review this API endpoint for security issues"
# Rapid prototyping
"@agent-uxd and @agent-uids, sketch out a new dashboard layout"
# One-off analysis
"@agent-qa and @agent-me, debug why tests are failing"
Benefits:
- No PRD or task creation needed
- Agents coordinate naturally through conversation
- Fast setup, minimal overhead
- Good for throwaway work
Limitations:
- No persistent work products
- No progress tracking across sessions
- No quality gates or validation
- Hard to resume after interruptions
When to Use Claude Copilot Orchestration
Ideal scenarios:
# Multi-stream initiative with deliverables
/orchestrate generate
/orchestrate start
# Work that needs recovery across sessions
/continue Stream-B
# Production code with quality requirements
# (uses quality gates, git worktrees, validation)
# Work requiring audit trail
# (all decisions, work products, and progress tracked)
Benefits:
- Persistent memory and work products
- Stream isolation with git worktrees
- Quality gates and validation
- Progress tracking and recovery
- Audit trail of all decisions
Trade-offs:
- More setup (PRD creation)
- Framework learning curve
- Overhead for simple tasks
Hybrid Approach
Use both systems together:
# 1. Explore with Agent Teams (fast, informal)
"@agent-ta and @agent-sd, brainstorm authentication approaches"
# 2. Formalize with Claude Copilot (structured, tracked)
/protocol implement OAuth2 authentication
# → Creates PRD, tasks, work products, quality gates
Pattern: Agent Teams for discovery, Claude Copilot for delivery.
Migration Guide
Migrating existing workflows to leverage Opus 4.6 capabilities.
For Framework Users
No action required. The framework maintains backward compatibility:
- Magic keywords (
eco:,fast:,max:) work automatically - Existing agents route to Opus 4.6 with appropriate effort levels
- Token budgets adjusted automatically
- All tools and protocols unchanged
Optional optimizations:
Use effort keywords explicitly:
# Old: rely on auto-detection /protocol fix the login bug # New: explicit effort control /protocol eco: fix the login bug # Low effort, fast /protocol max: design auth system # Max effort, deep thinkingLeverage larger context:
# Old: delegate to avoid reading many files /protocol analyze the codebase # New: main session can read more # (Still delegate for >8 files, but less strict)Create larger work products:
# Compaction threshold now 13,927 tokens (was 3,482) # Agents can return more detailed summaries before compacting
For Framework Developers
Required changes:
Update agent model references:
# Old (.claude/agents/ta.md) model: opus # New (optional, defaults to opus) model: opus # All agents use Opus 4.6Remove model-specific overrides:
# Old: Force specific model tc task create --title "..." --prd <id> --json # metadata: { modelOverride: 'haiku' } # New: Use effort levels tc task create --title "..." --prd <id> --json # metadata: { effortOverride: 'low' } -- Future enhancementUpdate keyword documentation:
- Remove references to model-specific keywords (
opus:,sonnet:,haiku:) - Document effort keywords (
eco:,fast:,max:) - Update magic-keywords.md examples
- Remove references to model-specific keywords (
Optional enhancements:
Adjust compaction thresholds:
// Old: 4,096 tokens const threshold = 4096; // New: 16,384 tokens (4x larger) const threshold = 16384;Increase token budgets:
- Agent response summaries: 100 → 400 tokens
- Work product summaries: 500 → 2,000 tokens
- Initiative summaries: 2,000 → 8,000 tokens
Relax file read warnings:
# Old **NEVER read more than 3 files** # New **SHOULD AVOID reading more than 8 files**
Performance Implications
How Opus 4.6 changes framework performance and cost.
Token Efficiency
| Scenario | Tokens Used (Opus 4) | Tokens Used (Opus 4.6) | Change |
|---|---|---|---|
| Simple bug fix (effort: low) | 2,000 (haiku) | 2,500 (opus low) | +25% |
| Standard feature (effort: high) | 8,000 (sonnet) | 8,000 (opus high) | Same |
| Architecture work (effort: max) | 15,000 (opus) | 20,000 (opus max) | +33% |
Net impact: Slightly higher token usage, but better quality and larger context reduces iterations.
Cost Considerations
Effort levels impact cost through token usage:
| Effort Level | Relative Cost | Use When |
|---|---|---|
| low | Lowest | Trivial tasks, cost-sensitive |
| medium | Medium | Standard work, balanced |
| high | Standard | Default, most tasks |
| max | Highest | Critical design, complex problems |
Cost optimization strategies:
Use
eco:keyword for simple tasks:/protocol eco: fix typo in README # → effort: low (minimal tokens)Reserve
max:for critical work:/protocol max: design payment processing architecture # → effort: max (deep reasoning needed)Default to
highfor standard tasks:/protocol implement user profile feature # → effort: high (auto-detected from complexity)
Context Compaction
Native compaction API: Opus 4.6 includes automatic context management.
Framework integration (future):
// Current: Manual compaction at 85% threshold
if (tokens > 13927) {
compactAndStore();
}
// Future: Leverage native compaction API
const response = await claude.messages.create({
context_compaction: {
enabled: true,
threshold: 0.85
}
});
Benefits:
- Automatic context management
- No manual token counting
- Better preservation of important context
Future Enhancements
Planned improvements leveraging Opus 4.6 capabilities.
1. Native Compaction Integration
Replace manual compaction with Opus 4.6's native API.
Implementation:
- Remove custom compaction logic
- Use Claude Messages API
context_compactionparameter - Automatic threshold management
Timeline: Q2 2026
2. Effort-Level Task Metadata
Store effort level in task metadata for better tracking.
tc task create --title "Complex refactor" --prd <id> --json
# metadata: { effortOverride: 'max', estimatedEffort: 'high' }
Benefits:
- Explicit effort control per task
- Track actual effort vs. estimated
- Better cost forecasting
Timeline: Q2 2026
3. Agent Teams Hybrid Mode
Combine Agent Teams with Claude Copilot orchestration.
Use case:
# Phase 1: Explore with Agent Teams
"@agent-ta and @agent-sec, design authentication approach"
# Phase 2: Formalize discoveries in PRD
/protocol implement OAuth2 authentication
# → Uses Agent Teams discoveries as context
Implementation:
- Convert Agent Teams conversations to work products
- Auto-link to PRD context
- Preserve collaborative decisions
Timeline: Q3 2026
4. Dynamic Effort Adjustment
Automatically adjust effort mid-task based on complexity signals.
Example:
// Task starts with effort: high
// Agent encounters unexpected complexity
// System auto-escalates to effort: max
// Agent continues with deeper reasoning
Benefits:
- Better handling of unexpected complexity
- No manual intervention needed
- Optimal effort allocation
Timeline: Q4 2026
FAQ
Q: Do I need to change anything to use Opus 4.6?
A: No. The framework automatically uses Opus 4.6 with appropriate effort levels. Existing workflows continue unchanged.
Q: What happened to haiku and sonnet models?
A: They're still supported for backward compatibility, but the framework now prefers Opus 4.6 with varying effort levels for better quality and consistency.
Q: How do I control cost with Opus 4.6?
A: Use the eco: keyword for simple tasks (effort: low), which minimizes token usage. Reserve max: for complex work requiring deep reasoning.
Q: Can I still use fast: keyword?
A: Yes, but it now maps to effort: medium instead of forcing Haiku model. For truly fast execution, use eco: (effort: low).
Q: Should I use Agent Teams or Claude Copilot orchestration?
A: Use Agent Teams for quick exploration and ad-hoc collaboration. Use Claude Copilot orchestration for structured initiatives requiring tracking, quality gates, and recovery.
Q: What's the performance impact of Opus 4.6?
A: Token usage may increase 25-33% compared to using haiku/sonnet for simple tasks, but better quality often reduces iterations, leading to net savings.
Q: How do I migrate existing tasks?
A: No migration needed. Existing tasks continue working. Future tasks automatically use Opus 4.6 with effort levels.
Q: Can I force a specific model instead of effort levels?
A: Model-specific keywords are deprecated. Use effort levels instead. If you need model control for testing, use task metadata: { modelOverride: 'opus' }.
Related Documentation
- Ecomode - Complexity scoring and model routing details
- Magic Keywords - Effort and action keyword reference
- Main Session Guardrails - Updated token limits
- Enhancement Features - Auto-compaction thresholds
- Agent Guide - Agent-specific patterns
Summary
Opus 4.6 transforms Claude Copilot with:
| Change | Impact |
|---|---|
| 1M token context | 5x larger context, less compaction |
| Effort parameter | Controlled reasoning depth (low/medium/high/max) |
| Relaxed limits | 8 file reads, 16K response tokens, 4x larger budgets |
| Breaking keyword change | fast: now maps to effort: medium (not Haiku) |
| Agent Teams coexistence | Use Agent Teams for exploration, orchestration for delivery |
Migration: Zero action required. Framework automatically leverages Opus 4.6 capabilities while maintaining backward compatibility.
Cost optimization: Use eco: for simple tasks, max: for critical work, default high for everything else.