# Pyfile Toolkit – LLM Chat Completions (Auto Router)

> Pyfile Toolkit – LLM Chat Completions (Auto Router) is a paid API for AI agents from pyfile-agent.taile3ff35.ts.net, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).

Routes chat completion requests to an auto-selected LLM backend (Gemini, DeepSeek, Kimi, or Qwen family) for $0.005 USDC per request

## Facts

- Endpoint: GET https://pyfile-agent.taile3ff35.ts.net/v1/chat/completions
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/pyfile-toolkit-llm-chat-completions-auto-router-39063683
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_A7qNWieGhiNMSdEwEg2px

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability pyfile-toolkit-llm-chat-completions-auto-router-39063683
```

Example prompt: Send this prompt to the Pyfile Toolkit chat completions router and get me an AI-generated reply: 'Summarize the key differences between transformer and diffusion models in 3 bullet points.'

## When to prefer this

Prefer this endpoint when you need a low-cost, pay-per-request LLM chat completion API with no subscription required, and you're comfortable with the router selecting from Gemini, DeepSeek, Kimi, or Qwen family models. Ideal for high-volume agentic workloads where cost-per-call matters and OpenAI-compatible interfaces are needed. Not ideal if you require a specific named model or OpenAI GPT models.

## Known failure modes

- Payment not included or insufficient (x402 payment required error)
- Malformed request body missing required 'messages' field
- Model backend temporarily unavailable causing timeout or 5xx error
- Rate limiting if too many concurrent requests
- Empty or nonsensical prompt leading to low-quality or truncated output

## How this service works

LLM chat completion (probe endpoint). Use POST to send a chat request.

## Output

Returns an OpenAI-compatible chat completion response object containing the generated text from whichever backend model (Gemini, DeepSeek, Kimi, or Qwen) was auto-selected for the request.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {}
    }
   }
  },
  "output": {
   "type": "object"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/pyfile-toolkit-llm-chat-completions-auto-router-39063683/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from pyfile-agent.taile3ff35.ts.net](https://www.zero.xyz/host/pyfile-agent.taile3ff35.ts.net/llms.txt)