APIMaster.ai

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Command Code

Command Code is an AI coding agent optimized for open-source models, providing tool call repair and /design skills.

Тип продукту: CLI AgentЦіни: НевідомоІнтеграція з APIMaster: Підтримується

Рейтинг використання токенів OpenRouter

#38

Джерела: OpenRouter

Унікальні відвідувачі на місяць

235,826

Джерела: SimilarWeb

Попередній перегляд головної сторінки Command Code

Coding Plan

Усі основні моделі AI з одним API-ключем

Знижки на моделі Coding Pro

  • glm-5.250% off
  • glm-5.350% off
  • deepseek-v4-flash40% off
  • deepseek-v4-pro40% off
  • qwen3.8-max40% off
  • kimi-k2.7-code30% off
  • kimi-k330% off
  • minimax-m330% off
  • deepseek-flash10% off

Огляд

Command Code is positioned as a coding agent for developers, primarily interacting with open-source models via command line or interface to complete code-related work. Its core features include automatic tool call repair for open-source models, the /design skill for generating interfaces, and support for low-cost entry plans. It is suitable for developers using open-source models such as DeepSeek and GLM, especially those who wish to avoid high fees or model restrictions. Compared to similar products, it does not charge additional fees for open-source model usage and includes built-in repair mechanisms to reduce call failures.

Коротко

Command Code is an AI coding agent optimized for open-source models, providing tool call repair and /design skills.

Для чого використовується

Users run code generation tasks with it, fix model tool call errors, and generate UI interfaces via the /design command.

Кому підходить

Developers, engineering teams, and technical leads

Як це працює

It typically first reads context in an IDE, terminal, or project environment, after which the Agent plans steps, executes commands or modifies files, and the user reviews the results.

Ключова інформація

Тип продукту

CLI Agent

Ціни

Невідомо

Real-time pricing for the current enhanced edition batch is not maintained for this product; please refer to the official website or official documentation.

Інтеграція з APIMaster

Підтримується

BYOK Providers / Provider API / Studio API Keys

Надійність даних

Середня

Остання перевірка: 2026-09-02

Підтримувані моделі / API

AnthropicThird-party Provider

Основні функції

Open-source Model Tool Calling

Native support for tool calling with open-source models such as DeepSeek V4 Flash

Tool Call Repair

Automatically repairs tool call errors and retries

/design Skill

Built-in /design command for design-related tasks

Cache Repair

Provides cache repair functionality to reduce repeated calls

Multi-plan Quota System

Offers plans such as GOAT, including specific quota limits and the $1 Go plan

Leaderboard Support

Maintains #1/#2 ranking on the public Leaderboard

Command Code: Сценарії використання

Using DeepSeek V4 Flash in codex harness

Call DeepSeek V4 Flash via Command Code to complete codex harness tasks

Кому підходитьAI developers

Switching plans in Pi harness

Compare the GOAT plan with opencode go and then choose Command Code for Pi harness

Кому підходитьAI developers

Debugging with tool call repair

Enable the repair feature to continue coding when tool calls fail

Кому підходитьAI developers

Налаштування стороннього ключа для Command Code (інтеграція з APIMaster)

Підтримується

Кроки налаштування

  1. 1Open the Command Code BYOK Providers or provider configuration page.
  2. 2Add a custom provider, or select the OpenAI-compatible / Anthropic-compatible access method provided in the current version.
  3. 3Enter the APIMaster Base URL, API Key, and model ID.
  4. 4After saving, initiate a minimal request in the CLI or desktop client to confirm that results are returned via the new provider.

Параметри конфігурації

Base URL

https://apimaster.ai/v1

Змінна середовища API-ключа

APIMASTER_API_KEY

Модель

Ваш Model ID APIMaster

Обговорення спільноти

Підсумок обговорень

Users typically understand Command Code as an AI coding agent tool focused on open-source models, emphasizing CLI interaction and agentic workflows. Discussions mainly center on the cost-effectiveness of pricing plans, comparisons with competitors such as Claude Code, Cursor, and OpenCode, the effectiveness of taste features and model support, and productivity performance and limitations in actual coding tasks.

Популярні теми

  1. 1

    Is Command Code's pricing plan (such as GOAT) worth subscribing to?

    Users often discuss quota amounts, model usage limits, and actual costs of different tiers, comparing the long-term value of the $1 entry plan with higher-tier options.

  2. 2

    What are the advantages of Command Code compared to Claude Code, Cursor, and OpenCode?

    Users frequently share usage experiences and explore differences in CLI terminal interaction, agent autonomy, and applicability in research or open-source maintenance scenarios.

  3. 3

    How does the taste feature and model support (such as DeepSeek, Qwen) perform in actual coding?

    Users discuss how taste learns personal preferences, tool call repair capabilities, and the reliability and speed of specific models in agentic tasks.

  4. 4

    What are the limitations of Command Code in complex or open-ended coding tasks?

    Users share scenarios where the agent errs in ambitious projects, requires human supervision, and compare feedback loops with IDE tools.

Поширені запитання

What type of product is Command Code?

We currently classify it under the "Programming / Developer" category; page descriptions are based on the official website and public sources such as OpenRouter.

What is Command Code suitable for?

The enhanced edition page of Command Code prioritizes displaying collected core tasks and use cases to help you quickly determine whether it matches your current needs.

Can Command Code directly connect to APIMaster now?

There is currently no reliable source confirming that the product supports third-party keys or custom compatible endpoints, so the page status will show as pending verification.

Схожі Agent

ДжерелаОфіційний вебсайт

Остання перевірка: 2026-09-02 · Повідомити про виправлення