cerebrixos-org/tuning-engines-cli

Govern every AI workflow through one API.
**Tuning Engines** is a governed AI runtime for model, agent, skill, and MCP workflows. Route inference through one OpenAI-compatible API, apply RBAC and traffic policies, request approvals for high-risk actions, inspect traces and usage, and connect durable orchestration frameworks such as LangGraph and Temporal. The same CLI and MCP server also manage domain-specific fine-tuning of open-source models.
Training Agents
Tuning Engines uses specialized **agents** that control how your data is analyzed and converted into training data. Each agent produces a different kind of domain-specific fine-tuned model optimized for its use case. Current agents focus on code, with more coming for customer support, data extraction, security review, ops, and other domains.
Cody (code_repo) — Code Autocomplete Agent
Cody fine-tunes on your GitHub repo using QLoRA (4-bit quantized LoRA) via the Axolotl framework (HuggingFace Transformers + PEFT). It learns your codebase's patterns, naming conventions, and project structure to produce a fast, lightweight adapter optimized for real-time completions.
**Best for:** code autocomplete, inline suggestions, tab-complete, code style matching, pattern completion.
SIERA (sera_code_repo) — Bug-Fix Specialist
SIERA (Synthetic Intelligent Error Resolution Agent) uses the Open Coding Agents approach from AllenAI to generate targeted bug-fix training data from your repository. It synthesizes realistic error scenarios and their resolutions, then fine-tunes a model that learns your team's debugging style, error handling conventions, and fix patterns.
**Best for:** debugging, error resolution, patch generation, root cause analysis, fix suggestions.
**Quality tiers (SIERA only):**
- low — Faster, fewer synthetic pairs (default)
- high — Deeper analysis, more training data, better results
Coming Soon
| Agent | Persona | What it does |
|-------|---------|-------------|
| **Resolve** | Mira | Fine-tunes on support tickets, macros, and KB articles for automated ticket resolution |
| **Extractor** | Flux | Trains for strict schema extraction from docs, PDFs, and business text |
| **Guard** | Aegis | Security-focused code reviewer that catches risky patterns and proposes safer fixes |
| **OpsPilot** | Atlas | Incident response agent trained on runbooks, postmortems, and on-call notes |
Supported Base Models
| Size | Models |
|------|--------|
| **3B** | Qwen/Qwen2.5-Coder-3B-Instruct |
| **7B** | codellama/CodeLlama-7b-hf, deepseek-ai/deepseek-coder-7b-instruct-v1.5, Qwen/Qwen2.5-Coder-7B-Instruct |
| **13-15B** | codellama/CodeLlama-13b-Instruct-hf, bigcode/starcoder2-15b, Qwen/Qwen2.5-Coder-14B-Instruct |
| **32-34B** | deepseek-ai/deepseek-coder-33b-instruct, codellama/CodeLlama-34b-Instruct-hf, Qwen/Qwen2.5-Coder-32B-Instruct |
| **70-72B** | codellama/CodeLlama-70b-Instruct-hf, meta-llama/Llama-3.1-70B-Instruct, Qwen/Qwen2.5-72B-Instruct |
Quick Start
MCP Server Setup
The CLI includes a built-in MCP server with 60+ tools. Any AI assistant that supports MCP can fine-tune models, manage training jobs, run evaluations, check inference usage, inspect traces, review approvals, and manage non-secret tenant registry metadata through natural language.
For security, the MCP server intentionally does not expose internal proxy routes. It also refuses MCP-side inference-key creation and raw secret-bearing mutation fields. Use the CLI or web UI for workflows that intentionally create one-time keys, submit raw provider secrets, validate S3 credentials, or import/export S3 assets with raw credentials.
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
Claude Code
Work Sessions and outcomes
Label the desired outcome for a project without interrupting your coding workflow:
Install optional native telemetry hooks for Claude Code or Codex:
Claude Code writes project-local hooks into .claude/settings.local.json. On
Windows, verify with dir .\.claude, type .\.claude\settings.local.json,
then restart Claude Code from the same project root and review claude /hooks.
doctor --probe is available in tuningengines-cli 0.4.20 and later; it runs
synthetic hook events through the installed commands and checks that the trace is
visible to Tuning Engines. Hook invocations also write a local redacted status
log at .claude/tuning-engines-hook-status.jsonl.
Codex project hooks require review and trust from /hooks. The installer pins