BlockRun

BlockRun works with Claude Code and AntiGravity.

You can't generate images. You have no real-time X/Twitter access. BlockRun gives you these capabilities.

Philosophy

You have a wallet. When you need a capability you lack, you pay for it autonomously.

| You Need | You Call | Pricing | |----------|----------|---------| | Image generation | DALL-E | $0.04/image | | Real-time X data | Grok + Live Search | $0.025/source | | Second opinion | GPT-5.2 | $1.75/M input, $14/M output | | Cheaper processing | DeepSeek | $0.14/M input, $0.28/M output |

How it works: BlockRun uses x402 micropayments to route your requests to OpenAI, xAI, Google, and other providers. No API keys needed - your wallet pays per token.

Budget Control (Optional)

If the user specifies a budget (e.g., "use at most $1"), track spending and stop when budget is reached:

python
from blockrun_llm import setup_agent_wallet

client = setup_agent_wallet()
budget = 1.0  # User's budget

# Before each call, check if within budget
spending = client.get_spending()
if spending['total_usd'] >= budget:
    print(f"Budget reached: ${spending['total_usd']:.4f} spent")
    # Stop making calls
else:
    response = client.chat("openai/gpt-5.2", "Hello!")

# At the end, report spending
spending = client.get_spending()
print(f"💰 Total spent: ${spending['total_usd']:.4f} across {spending['calls']} calls")

When to Use

| Trigger | Your Action | |---------|-------------| | User explicitly requests ("blockrun second opinion with GPT on...", "use grok to check...", "generate image with dall-e") | Execute via BlockRun | | User needs something you can't do (images, live X data) | Suggest BlockRun, wait for confirmation | | You can handle the task fine | Do it yourself, don't mention BlockRun |

Example User Prompts

Users will say things like:

| User Says | What You Do | |-----------|-------------| | "blockrun generate an image of a sunset" | Call DALL-E via ImageClient | | "use grok to check what's trending on X" | Call Grok with search=True | | "blockrun GPT review this code" | Call GPT-5.2 via LLMClient | | "what's the latest news about AI agents?" | Suggest Grok (you lack real-time data) | | "generate a logo for my startup" | Suggest DALL-E (you can't generate images) | | "blockrun check my balance" | Show wallet balance via get_balance() | | "blockrun deepseek summarize this file" | Call DeepSeek for cost savings |

Wallet & Balance

Use setup_agent_wallet() to auto-create a wallet and get a client. This shows the QR code and welcome message on first use.

Initialize client (always start with this):

python
from blockrun_llm import setup_agent_wallet

client = setup_agent_wallet()  # Auto-creates wallet, shows QR if new

Check balance (when user asks "show balance", "check wallet", etc.):

python
balance = client.get_balance()  # On-chain USDC balance
print(f"Balance: ${balance:.2f} USDC")
print(f"Wallet: {client.get_wallet_address()}")

Show QR code for funding:

python
from blockrun_llm import generate_wallet_qr_ascii, get_wallet_address

# ASCII QR for terminal display
print(generate_wallet_qr_ascii(get_wallet_address()))

SDK Usage

Prerequisite: Install the SDK with pip install blockrun-llm

🧠 Knowledge Modules (Fractal Skills)

1. Basic Chat

2. Real-time X/Twitter Search (xAI Live Search)

3. Advanced X Search with Filters

4. Image Generation

5. Search Parameters

6. Source Types