Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens

Solana GPT wrapper API using x402 payments. Default direct call: model gpt-5-mini, max_output_tokens=2000, fixed price 0.01 USDC for up to 1000 input tokens. For all other settings the price is computed per model as (input_tokens * input_price_per_million + max_output_tokens * output_price_per_million) / 1,000,000, with a minimum of 0.001 USDC and always rounded up to 6 decimals. Optional max_input_tokens lets you cap the input tokens used for pricing; if the message is longer than this cap the server returns an error instead of under-pricing. Optional action=message (or omitting action) performs a direct GPT call with the given message. Optional action=create creates a custom agent with the given message as preprompt for 0.001 USDC (no OpenAI call), stores a base_price_usdc using (max_input_tokens_for_agent or 1000) + preprompt + max_output_tokens, and returns a custom_id. Optional action=list lists up to 100 recent custom agents for the paying wallet for 0.001 USDC without calling OpenAI. Custom agents can be called via POST /solana/llm/gpt with custom_id, or POST /solana/llm/gpt/{custom_id}. Each custom agent has a fixed price per call based on its stored preprompt, model, max_output_tokens and max_input_tokens; if the runtime message is longer than max_input_tokens the server returns an error. Custom LLM agent YXPJPFB26CSY6VTN3N on Solana. Model gpt-5.1, max_input_tokens=1000, max_output_tokens=2000. Preprompt preview (first 150 chars): "You are a professional voice-over scriptwriter for short audio newsflashes. Task: Read the provided list of crypto-related topics and generate a conc". Pricing mode: agent-per-token. Prepaid price (x402) for this request: 0.032632 USDC. Estimated input tokens for pricing: 1316.