Releases: SuperagenticAI/supercodemode
Releases · SuperagenticAI/supercodemode
🐍v0.1.0: First Public Release (GEPA-centric Code Mode Optimization for MCP)
SuperCodeMode v0.1.0
First public release of SuperCodeMode: a Python CLI and demo harness for optimizing Code Mode-style
client behavior in MCP workflows with GEPA.
SuperCodeMode focuses on improving the client-side text and routing policy around a small tool surface
(typically discovery + execution), so agents make better tool choices and produce more reliable results
without requiring server-side changes.
Highlights
GEPA-centric Code Mode optimization
- Optimize Code Mode client behavior with GEPA
- Improve:
- system prompt text
- Code Mode description / routing guidance
- tool alias mappings
- tool description overrides
MCP runtimes and transports
- MCP stdio runner for local workflows
- MCP streamable HTTP runner for direct Cloudflare MCP
- HTTP bridge runner for custom runtimes
Execution backends (demo MCP server)
localdockermonty(Python-native sandbox path)
Strategy benchmarking
- New
scm benchmarkcommand compares:tool_call(naive execution-first policy)codemode_baselinecodemode_optimized
Observability (shared event schema)
Backends:
jsonlotlplogfire(optional)mlflow(optional)langsmith(optional)langfuse(optional)
Includes:
- CLI context fields (
cli_command,cli_runner,cli_executor_backend) - summary events (
showcase,benchmark,optimize) - summary artifacts for CI-friendly comparisons
Docs and examples
- MkDocs Material documentation site
- runnable examples for:
- Cloudflare MCP
- local MCP stdio
- optimization flows
- Gemini demo
Install
pip install supercodemode
With uv (CLI install):
uv tool install supercodemode
Optional extras:
pip install "supercodemode[monty]"
pip install "supercodemode[observability]"
## Quick Start
scm doctor
scm showcase --runner mcp-http
scm showcase --runner mcp-stdio
scm benchmark --runner mcp-stdio
## Links
- Docs: https://superagenticai.github.io/supercodemode/
- PyPI: https://pypi.org/project/supercodemode/
- GEPA docs: https://gepa-ai.github.io/gepa/
- Cloudflare Code Mode MCP blog: https://blog.cloudflare.com/code-mode-mcp/
- UTCP Code Mode implementation: https://github.com/universal-tool-calling-protocol/code-mode
## Notes
- Observability provider SDK backends are best-effort and optional. Telemetry failures do not fail the main
run path.
- This repo is the end-to-end experimentation/demo harness for the GEPA Code Mode adapter work.