🥷 Setting up CryptoNinja mode in evi-run

This is a simple guide for replacing files on a Linux server to activate CryptoNinja mode. What are we doing? We simply copy the modernized files from modes/crypto_mode/ to the project's working directories.

What is CryptoNinja

CryptoNinja is a profile for the evi-run multi-agent system, tailored for crypto context. It includes functions: crypto market overview, fundamental analysis, technical analysis, DEX monitoring, Solana integration, token swaps, portfolio management, and trading educational materials.

Requirements

• Install evi-run following the Step-by-Step Guide.
• If evi-run was previously installed, update the code by adding the modes/crypto_mode/ directory.

1. Verification and navigation

# navigate to project root 
# specify your path if necessary (if it doesn't match)
cd /opt/evi-run

Check for file presence (optional):

• crypto agent source: modes/crypto_mode/agents_.py
• locales: modes/crypto_mode/en/txt.ftl and modes/crypto_mode/ru/txt.ftl

2. Backup and replace agents_.py

cd /opt/evi-run

# backup current agents_.py
cp -v bot/agents_tools/agents_.py bot/agents_tools/agents_.py.bak-$(date +%F_%H%M%S)

# replace with file from Crypto Mode
cp -v modes/crypto_mode/agents_.py bot/agents_tools/agents_.py

3. Backup and replace Fluent locales (txt.ftl for en/ru)

The typical path I18N/... is shown below.

cd /opt/evi-run

# backup current locales
cp -v I18N/en/txt.ftl I18N/en/txt.ftl.bak-$(date +%F_%H%M%S)
cp -v I18N/ru/txt.ftl I18N/ru/txt.ftl.bak-$(date +%F_%H%M%S)

# replace with files from Crypto Mode
cp -v modes/crypto_mode/en/txt.ftl I18N/en/txt.ftl
cp -v modes/crypto_mode/ru/txt.ftl I18N/ru/txt.ftl

4. Restart the bot

• Restart Docker Compose:

docker compose down
docker compose up --build -d

5. Quick check

• Start a test dialogue with the bot and ask about "fresh crypto news" — the response should be in CryptoNinja style.

Community and Support

• Telegram Community: evi_run
• GitHub Repository: pipedude/evi-run

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This article was written for beginners in the technical community on DEV who are interested in deploying AI systems. Questions and suggestions for improvement are welcome!