Codexsaver Cost Router

CodexSaver Cost Router

Skill by ara.so — Codex Skills collection.

CodexSaver is an MCP tool that makes Codex cost-aware by routing low-risk development work (tests, docs, search, explanation) to cheaper worker LLMs while keeping Codex responsible for architecture, security, and final review. It supports DeepSeek by default with presets for OpenAI, Anthropic, Gemini, Qwen, Ollama, and LM Studio.

Core Concepts

CodexSaver operates in three modes:

• Preview Mode: Shows routing decision without executing
• V2 Bounded Work Packets: Single-task delegation with sandboxed patch application and verification
• V3 Orchestrated Specialists: Parallel readonly specialists (explainer, perf_reviewer) and mixed graphs for docs/tests/impl

Key principle: Codex handles judgment and risk, worker models handle volume and repetition.

Installation

Global MCP Tool Setup

# Clone repository
git clone https://github.com/fendouai/CodexSaver.git
cd CodexSaver

# Install globally
pip install -e .

# Initialize config
codexsaver init

# Add to Codex MCP config (~/.config/codex/mcp.json or workspace .codex/mcp.json)

Add to mcp.json:

{
  "mcpServers": {
    "codexsaver": {
      "command": "python",
      "args": ["-m", "codexsaver.mcp_server"],
      "env": {}
    }
  }
}

Configuration

Edit ~/.codexsaver/config.json:

{
  "provider": "deepseek",
  "deepseek": {
    "api_key_env": "DEEPSEEK_API_KEY",
    "model": "deepseek-chat",
    "base_url": "https://api.deepseek.com"
  },
  "openai": {
    "api_key_env": "OPENAI_API_KEY",
    "model": "gpt-4o-mini"
  },
  "worker_compression": {
    "enabled": true,
    "level": "medium"
  },
  "routing": {
    "protected_paths": ["src/auth/", "payment/", ".env"],
    "risk_threshold": "medium"
  }
}

Set environment variable:

export DEEPSEEK_API_KEY="your-key-here"

MCP Tools Reference

1. codexsaver.delegate_task

Route a task to the worker model with automatic risk assessment.

Parameters:

• task_description (required): Task to delegate
• files (optional): List of file paths for context
• mode (optional): preview or execute (default: execute)

Example call from Codex:

# Codex calls this internally via MCP
{
  "tool": "codexsaver.delegate_task",
  "arguments": {
    "task_description": "Write docstrings for all public functions",
    "files": ["src/utils.py"],
    "mode": "execute"
  }
}

Response structure:

{
  "interaction": {
    "tool": "codexsaver.delegate_task",
    "mode": "delegated_execution",
    "headline": "CodexSaver delegated this task to DeepSeek",
    "route_label": "[CodexSaver] route=deepseek task_type=write_docs risk=low",
    "next_step": "Review the worker result and apply if safe"
  },
  "result": "Delegated task output...",
  "cost_savings": "45%",
  "provider": "deepseek"
}

2. codexsaver.delegate_work_packet

V2: Execute bounded work with sandbox verification.

Parameters:

• goal (required): Clear task goal
• files (optional): Context files
• allowed_files (required): Globs for writable files
• forbidden_paths (optional): Protected paths
• acceptance_criteria (required): Success conditions
• allowed_commands (required): Verification commands
• max_iterations (optional): Default 3
• max_diff_lines (optional): Default 500

Example:

{
  "tool": "codexsaver.delegate_work_packet",
  "arguments": {
    "goal": "Add type hints to config loader",
    "files": ["codexsaver/config.py"],
    "allowed_files": ["codexsaver/config.py"],
    "forbidden_paths": ["codexsaver/auth/"],
    "acceptance_criteria": "All public functions have type hints",
    "allowed_commands": ["mypy codexsaver/config.py"],
    "max_iterations": 3,
    "max_diff_lines": 200
  }
}

3. codexsaver.orchestrate

V3: Orchestrate specialists for complex tasks.

Parameters:

• task_description (required): High-level task
• files (optional): Context files
• mode (optional): preview or execute

Example:

{
  "tool": "codexsaver.orchestrate",
  "arguments": {
    "task_description": "Explain config module and review performance",
    "files": ["codexsaver/config.py"],
    "mode": "execute"
  }
}

Response for readonly_swarm:

{
  "status": "success",
  "graph_type": "readonly_swarm",
  "findings": 10,
  "quality_score": 0.75,
  "latency_seconds": 6.45,
  "cost_savings": "52%",
  "results": {
    "explainer": "Config module loads from ~/.codexsaver/config.json...",
    "perf_reviewer": "No blocking I/O, caching recommended..."
  }
}

CLI Commands

Initialize Configuration

codexsaver init

Creates ~/.codexsaver/config.json with DeepSeek defaults.

Preview Routing Decision

codexsaver preview "Write unit tests for auth module" --files src/auth.py

Shows routing decision without executing.

Execute Work Packet

codexsaver work-packet \
  "Add docstrings to public functions" \
  --files src/utils.py \
  --allowed-file src/utils.py \
  --acceptance "All functions have docstrings" \
  --allowed-command "python -m pydoc src.utils" \
  --workspace .

Orchestrate Specialists

# Readonly specialists (fastest, most reliable)
codexsaver orchestrate "Explain installer flow and review performance" \
  --files codexsaver/install.py

# Mixed graph (docs + explain)
codexsaver orchestrate "Document API and explain usage patterns" \
  --files codexsaver/api.py

# Dry run
codexsaver orchestrate "Implement login and add tests" \
  --files src/auth.py \
  --dry-run

Run Single Specialist

# Explainer
codexsaver specialist explainer "Explain this module" \
  --files codexsaver/router.py

# Performance Reviewer
codexsaver specialist perf_reviewer "Review performance" \
  --files codexsaver/delegate.py

Install Project Guidance

# Basic: AGENTS.md guidance only
codexsaver superpower install --profile basic --workspace .

# Full: AGENTS.md + hooks + local config
codexsaver superpower install --profile full --workspace .

Python API

Direct Delegation

from codexsaver.delegate import delegate_task

result = delegate_task(
    task_description="Write docstrings for utils module",
    files=["src/utils.py"],
    mode="execute"
)

print(result["interaction"]["route_label"])
print(result["result"])

Work Packet Execution

from codexsaver.work_packet import execute_work_packet

result = execute_work_packet(
    goal="Add type hints to config loader",
    files=["codexsaver/config.py"],
    allowed_files=["codexsaver/config.py"],
    acceptance_criteria="All functions have type hints",
    allowed_commands=["mypy codexsaver/config.py"],
    workspace_root="."
)

if result["status"] == "success":
    print(f"Patch applied: {result['changed_files']}")
elif result["preflight_satisfied"]:
    print("Task already satisfied, no work needed")

Specialist Orchestration

from codexsaver.orchestrate import orchestrate_task

result = orchestrate_task(
    task_description="Explain config module and review performance",
    files=["codexsaver/config.py"],
    mode="execute"
)

if result["status"] == "success":
    print(f"Graph type: {result['graph_type']}")
    print(f"Findings: {result['findings']}")
    print(f"Quality score: {result['quality_score']}")
    for specialist, output in result["results"].items():
        print(f"\n{specialist}:\n{output}")

Router Configuration

from codexsaver.router import Router

router = Router()

# Check if task is safe to delegate
decision = router.should_delegate(
    task_description="Write unit tests",
    files=["src/utils.py"]
)

print(f"Route: {decision['route']}")  # 'deepseek' or 'codex'
print(f"Risk: {decision['risk_level']}")  # 'low', 'medium', 'high'
print(f"Task type: {decision['task_type']}")  # 'write_tests', 'explain', etc.

Common Patterns

Pattern 1: Low-Risk Documentation Work

When to use: Adding or updating docs, docstrings, README sections

# Via MCP tool
{
  "tool": "codexsaver.delegate_task",
  "arguments": {
    "task_description": "Add docstrings to all public functions in utils",
    "files": ["src/utils.py"],
    "mode": "execute"
  }
}

Expected route: deepseek (low risk, high volume)

Pattern 2: Bounded Test Generation

When to use: Creating tests for well-defined modules

codexsaver work-packet \
  "Write pytest tests for config loader" \
  --files codexsaver/config.py \
  --allowed-file tests/test_config.py \
  --acceptance "tests/test_config.py exists and pytest passes" \
  --allowed-command "pytest tests/test_config.py -v" \
  --workspace .

Expected route: deepseek with sandbox verification

Pattern 3: Readonly Analysis

When to use: Code explanation, performance hints, security scan (no patches)

codexsaver orchestrate "Explain auth flow and review performance" \
  --files src/auth.py

Expected route: readonly_swarm (parallel explainer + perf_reviewer)

Pattern 4: Codex Takeover for High-Risk Work

When to use: Auth, payment, destructive migrations, ambiguous architecture

{
  "tool": "codexsaver.delegate_task",
  "arguments": {
    "task_description": "Refactor authentication middleware",
    "files": ["src/auth/middleware.py"],
    "mode": "execute"
  }
}

Expected route: codex (protected path detected)

Response includes:

{
  "interaction": {
    "mode": "codex_takeover",
    "headline": "CodexSaver kept this task with Codex",
    "route_label": "[CodexSaver] route=codex reason=protected_path"
  }
}

Pattern 5: Mixed Graph Orchestration

When to use: Docs + explanation + small impl changes

codexsaver orchestrate "Document API, explain usage, and add examples" \
  --files codexsaver/api.py

Expected graph: docs + explain (mixed readonly + bounded patch)

Risk Assessment Rules

CodexSaver routes tasks based on:

Automatic Codex Takeover

• Files match protected_paths (auth, payment, .env)
• Task mentions security, permissions, migration
• Ambiguous requirements
• Multi-file behavioral changes without verification

Safe Delegation to Worker

• Task type: write_tests, write_docs, explain, search
• Files outside protected paths
• Clear acceptance criteria
• Bounded scope with verification commands

Configuration Override

{
  "routing": {
    "protected_paths": ["src/auth/", "billing/", "*.key"],
    "risk_threshold": "medium",
    "force_codex_patterns": ["payment", "security", "migrate"]
  }
}

Worker Output Compression

Reduce delegated output length for faster Codex review:

{
  "worker_compression": {
    "enabled": true,
    "level": "medium"
  }
}

Levels:

• low: Minor trimming
• medium: Remove verbose explanations, keep facts
• high: Maximum compression, essential info only

Response includes compression notice:

{
  "interaction": {
    "compression": {
      "active": true,
      "level": "medium",
      "notice": "Worker output compressed to medium level"
    }
  }
}

Troubleshooting

MCP Tool Not Found

Symptom: Codex doesn't recognize codexsaver.* tools

Fix:

# Verify MCP server config
cat ~/.config/codex/mcp.json

# Test MCP server manually
python -m codexsaver.mcp_server

# Restart Codex after config changes

Worker Provider Authentication Failed

Symptom: Authentication error: DEEPSEEK_API_KEY not found

Fix:

# Set environment variable
export DEEPSEEK_API_KEY="sk-..."

# Verify config
cat ~/.codexsaver/config.json

# Test provider directly
codexsaver preview "test task" --files README.md

Sandbox Verification Failed

Symptom: Work packet returns verification_failed

Fix:

# Check allowed commands are valid
codexsaver work-packet \
  "test task" \
  --allowed-command "python -c 'import sys; sys.exit(0)'" \
  --acceptance "passes basic check" \
  --workspace . \
  --verbose

# Increase max iterations
codexsaver work-packet \
  "complex task" \
  --max-iterations 5 \
  --workspace .

All Tasks Route to Codex

Symptom: No cost savings, everything stays with Codex

Fix:

{
  "routing": {
    "risk_threshold": "low",
    "protected_paths": []
  }
}

Or use explicit work packets for guaranteed delegation.

V3 Orchestration Returns needs_codex

Symptom: Complex graphs fall back conservatively

Expected behavior: V3 patch orchestration is still maturing. Use for:

• ✅ Readonly specialist swarms (established)
• ✅ Single bounded patches (v2 mature)
• ⚠️ Multi-patch graphs (promising but conservative)

Workaround: Break complex tasks into separate work packets.

Best Practices

1. Start with preview mode to understand routing decisions
2. Use work packets for implementation to get sandbox verification
3. Use orchestration for analysis (readonly swarms are fastest)
4. Keep Codex for ambiguity - don't force delegation on unclear tasks
5. Monitor cost savings - review interaction blocks in responses
6. Set realistic acceptance criteria - make verification commands specific
7. Protect sensitive paths - add to protected_paths config
8. Enable compression for faster Codex review of delegated output

Environment Variables

# Required for DeepSeek (default provider)
export DEEPSEEK_API_KEY="sk-..."

# Optional alternative providers
export OPENAI_API_KEY="sk-..."
export ANTHROPIC_API_KEY="sk-ant-..."
export GEMINI_API_KEY="..."
export QWEN_API_KEY="..."

# Optional: override config path
export CODEXSAVER_CONFIG_PATH="/custom/path/config.json"

Provider Presets

Switch providers in ~/.codexsaver/config.json:

{
  "provider": "openai",
  "openai": {
    "api_key_env": "OPENAI_API_KEY",
    "model": "gpt-4o-mini"
  }
}

Supported: deepseek, openai, anthropic, gemini, qwen, ollama, lmstudio