WeryAI Chat

---

name: weryai-chat description: Chat, ask, compare, and inspect WeryAI chat models through the official OpenAI-compatible chat completions API. Use when you need general assistant chat, multi-turn conversation, chat model lookup, model comparison, prompt-response tasks, or direct message-array calls against WeryAI chat models. metadata: { "openclaw": { "emoji": "💬", "primaryEnv": "WERYAI_API_KEY", "paid": true, "network_required": true, "requires": { "env": ["WERYAI_API_KEY"], "bins": ["node"], "node": ">=18" } } }

---

WeryAI Chat

Use the official WeryAI chat-completions API for general assistant chat and model lookup. This skill is intentionally broad but not specialized: it is for general conversation and prompt-response tasks, not blog writing, social copy, or email drafting.

Example Prompts

Ask a WeryAI chat model to explain retrieval augmented generation in plain English.

Send this messages array to WeryAI chat completions and return the assistant response.

List the currently available WeryAI chat models and their pricing.

Use GPT_5_4 for this one chat call instead of the default model.

Quick Summary

Main jobs: general assistant chat, multi-turn chat, chat model lookup, prompt-response

Default model: GEMINI_3_1_PRO

Main optional controls: model, messages, maxTokens, temperature, topP

Main trust signals: dry-run support, model lookup, OpenAI-compatible messages, explicit non-specialized scope

Prerequisites

WERYAI_API_KEY must be set before calling the API.

Node.js >=18 is required.

Real runs use the WeryAI chat completion API and may consume credits.

When to use this skill

Use this skill when the user wants:

a normal assistant-style answer

a direct chat-completions call

a multi-turn conversation via messages

model lookup or model selection before a chat run

Do not use this skill when the user clearly wants:

blog writing

email drafting

ad copy

translation or summarization as the main task

Those belong to the existing specialized text/* skills.

OpenAI-compatible message shape

This skill accepts standard chat-completions messages:

[
  { "role": "system", "content": "You are a helpful assistant." },
  { "role": "user", "content": "What is artificial intelligence?" }
]

If you provide messages, they are passed through directly. If you provide only prompt, the runtime builds a simple messages array automatically.

Commands

# List available chat models
node {baseDir}/scripts/models.js
Simple prompt-response chat
node {baseDir}/scripts/write.js --json '{
  "prompt":"Explain retrieval augmented generation in plain English",
  "temperature":0.7
}'
Explicit messages array
node {baseDir}/scripts/write.js --json '{
  "model":"GPT_5_4",
  "messages":[
    {"role":"system","content":"You are concise and technical."},
    {"role":"user","content":"Compare RAG and long-context prompting."}
  ]
}'
Dry-run preview
node {baseDir}/scripts/write.js --json '{
  "prompt":"What is the difference between latency and throughput?"
}' --dry-run

Workflow

1. If the user wants model choice or pricing context first, run models.js. 2. Use write.js for direct prompt-response or explicit messages chat. 3. Prefer --dry-run when validating payload shape without spending credits. 4. Return the assistant response directly when the call succeeds.

Definition of Done

models.js returns the available chat models and pricing metadata.

write.js returns at least one assistant completion choice and non-empty text, or a clear API failure.

Re-run Behavior

Re-running models.js is read-only and safe.

Re-running write.js --dry-run is safe and does not call the API.

Re-running write.js creates a fresh chat completion request and may consume additional credits.

References

Official chat API summary: references/chat-api.md

Chat completion API: Chat Completion

Chat models API: Get Chat Models List

WERYAI_API_KEY must be set before calling the API.

Node.js >=18 is required.

Real runs use the WeryAI chat completion API and may consume credits.