sambanova/sambanova-plugin-cc

sambanova/sambanova-plugin-cc

Language: Python

License: Apache-2.0

Stars: 1

Forks: 0

Open issues: 0

Created: 2026-03-31T17:38:58Z

Pushed: 2026-06-09T14:47:58Z

Default branch: main

Fork: no

Archived: no

README:

Skills

Claude Code skills for managing SambaNova models and running coding sub-agents.

Installation

Step 1: Add the marketplace

In Claude Code, run:

/plugin marketplace add

Step 2: Install the plugin

/plugin install samba-plugin

Prerequisites

• Python 3 with venv support
• A SAMBANOVA_API_KEY environment variable (required by /model-info, /code, and others.)
• Run /setup before using any other skill
• At least one of continue or opencode installed (CLI available — no model configuration required)

How it works

The plugin maintains its own local SQLite database (model_params.db) that stores all model configurations. This database is the sole source of truth — the plugin never reads your personal Continue or OpenCode config files. When you use /code, the plugin generates isolated, runtime-only configurations for the sub-agent, ensuring a clean separation from your existing IDE setups.

Skills Overview

| Skill | Command | Description | |---|---|---| | [setup](#setup) | /setup | Initialize the virtual environment and install agent_shims | | [code](#code) | /code [files...] | Delegate a coding task to a sub-agent | | [list-models](#list-models) | /list-models | List all models in the local parameters database | | [model-info](#model-info) | /model-info | Show all models available on the SambaNova platform | | [update-model](#update-model) | /update-model [params_json] | Add or update a model in the database | | [reset-model-db](#reset-model-db) | /reset-model-db | Clear all entries from the model database |

Skill Details

code

Runs a coding tool (continue or opencode) as a sub-agent with a specified model and prompt. Useful for delegating tasks like code review, implementation, or ideation.

/code [--max-tokens ] [--tool-arg ...]

Arguments:

| Argument | Required | Description | |---|---|---| | tool | Yes | continue or opencode (see tool selection guide below) | | model | Yes | Bare model ID from the database (e.g. MiniMax-M2.7, not sambanova/MiniMax-M2.7) | | cwd | Yes | Working directory for the tool (defaults to project root if unspecified) | | prompt | Yes | The prompt to send, quoted as a single shell argument | | --max-tokens | No | Override the model's max_completion_tokens for this run | | --tool-arg | No | Extra args passed to the underlying tool (repeatable, use = syntax for flags: --tool-arg="--file") |

Tool selection guide:

| Scenario | Tool | |---|---| | Large code generation (1,000+ lines) | continue — iterates across turns, tested up to 3,700 lines | | Code review of large files (1,500+ lines) | continue — reads in chunks; opencode truncates at ~1,500 lines | | Qwen3-235B + C++ | continue (cleaner) or opencode | | Side-effect-free output needed | opencode — doesn't modify filesystem |

See skills/code/prompting/ for detailed model and tool guides.

Common model aliases:

| User says | Maps to | |---|---| | MiniMax, sambanova/MiniMax-M2.7 | MiniMax-M2.7 | | gpt-oss, sambanova/gpt-oss-120b | gpt-oss-120b |

list-models

Lists all models currently stored in the local parameters database along with their context length, max completion tokens, and sampling parameters.

/list-models

model-info

Queries the SambaNova API (https://api.sambanova.ai/v1/models) to display the full catalog of available models with their context length and max completion tokens. Requires SAMBANOVA_API_KEY to be set.

This shows what models *can* be used, as opposed to /list-models which shows what is stored locally.

/model-info

update-model

Inserts or updates a model entry in the local parameters database. Looks up model details from /model-info and sampling parameters from HuggingFace documentation before writing.

/update-model [sampling_parameters_json]

The sampling parameters argument is a JSON string (e.g. '{"temperature": 0.7, "topP": 0.9}').

reset-model-db

Deletes all entries from the model parameters database. Prompts for confirmation before proceeding.

/reset-model-db

Architecture

skills/
├── setup/ # Environment initialization
├── code/ # Sub-agent coding tool runner
├── list-models/ # Database model listing
├── model-info/ # SambaNova platform model catalog
├── update-model/ # Database model upsert
└── reset-model-db/ # Database reset

agent_shims/ # Shared Python package (installed by /setup)
├── model.py # Model dataclass (id, context_length, max_completion_tokens, sampling_parameters)
├── model_parameters/ # SQLite-backed model parameter storage
├── cn/ # Continue runner
└── opencode/ # Opencode runner

Each skill follows the same pattern: 1. SKILL.md — metadata and instructions for Claude Code 3. scripts/*.py — implementation using agent_shims