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⚙️Configuration Management

Infrastructure as Code approach to managing your AI configurations, templates, and environment settings

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Infrastructure as Code for AI

Manage your AI configurations like modern infrastructure with version control, templates, validation, and automated deployments across multiple environments.

Configuration Status

All Configs Valid
3
Environments
47
Config Files
23
Templates
5m
Last Deploy

📋 YAML/JSON Configs

Version-controlled configuration files

✅ Validation

Automated config validation and testing

🚀 CI/CD Ready

Integration with deployment pipelines

🧪 CLI Usage

# Generate enterprise template
hive config template --type enterprise

# Generate CI/CD template
hive config template --type ci-cd

# Generate development environment template
hive config template --type development

Configuration Validation

# Validate configuration file
hive config validate hive-config.yaml

# Validate all configs in directory
hive config validate --all

🔧 IDE Integration (Claude Code, Cursor, Windsurf)

💡 MCP Tool Names:

hive_config_applyhive_config_exporthive_config_validatehive_config_template

Apply Configuration

// MCP Tool Call
hive_config_apply({
file_path: "hive-config.yaml",
environment: "production"
})

Deploy configuration to environment

Validate Configuration

// MCP Tool Call
hive_config_validate({
file_path: "config.yaml"
})

Validate configuration syntax and rules

Export Configuration

// MCP Tool Call
hive_config_export({
format: "yaml",
include_credentials: false
})

Export current configuration state

Generate Template

// MCP Tool Call
hive_config_template({
type: "enterprise"
})

Generate configuration templates

🚀 Infrastructure as Code

Manage your AI infrastructure with the same best practices used by modern DevOps teams. Version control, automated validation, and seamless deployments.

# Start with Infrastructure as Code
hive config template --type enterprise
hive config validate enterprise-config.yaml
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