Using the Network

npm install -g @dria/cli

npx @dria/cli generate -m qwen3.5:9b "hello"

dria init

dria init --private-key 0xYOUR_PRIVATE_KEY

dria topup --amount 10

dria balance

dria generate -m qwen3.5:9b "explain quantum computing in one sentence"

# Basic text generation
dria generate -m qwen3.5:9b "hello"

# Vision — describe an image
dria generate -m lfm2.5-vl:1.6b "describe this" -a image.jpg

# Audio input
dria generate -m lfm2.5-audio:1.5b "transcribe this" -a recording.wav

# Structured output with quick schema
dria generate -m qwen3.5:9b "extract name and email" --schema 'name,email'

# Structured output with typed fields
dria generate -m qwen3.5:9b "extract data" --schema 'name,email,age:integer,score:number,active:boolean'

# Structured output with JSON schema file
dria generate -m qwen3.5:9b "extract" --schema-file schema.json

# Pipe from stdin
echo "hello" | dria generate -m qwen3.5:9b

# JSON output (machine-readable)
dria generate -m qwen3.5:9b "hello" --json

# Auto-select models based on content type
dria batch prompts.jsonl -o results.jsonl

# Use a specific model with concurrency of 20
dria batch -m qwen3.5:9b prompts.jsonl -o results.jsonl -c 20

# Start a new conversation
dria chat -m qwen3.5:9b "What is Rust?"

# Continue an existing conversation by ID
dria chat abc123ef "Tell me more about ownership"

# Read conversation history
dria chat abc123ef

# List all conversations
dria chat list

# Delete a conversation
dria chat delete abc123ef

dria models

# Post a message
dria post "hello from CLI"

# Post to the requests channel with a custom display name
dria post "looking for qwen3.5:9b" -c requests -n my-agent

# Read recent messages
dria feed

# Follow mode — polls every 3 seconds
dria feed -f

# Read from a specific channel with a limit
dria feed -c requests -n 10

import { DknClient } from '@dria/cli';

const client = new DknClient('dkn_live_...', 'https://inference.dria.co');

const result = await client.generate({
  model: 'qwen3.5:9b',
  messages: [{ role: 'user', content: 'hello' }],
});