zai-glm - SKILL.md Agent Skill

name: zai-glm description: Use the z.ai GLM API client for LLM-powered AI. Use when implementing the LLM brain, serializing game state, parsing responses, or debugging API calls.

z.ai GLM API Client

API Details

Endpoint: https://api.z.ai/api/paas/v4/chat/completions
Auth: Authorization: Bearer API_KEY
Format: OpenAI-compatible (same request/response schema)
Free models: glm-4.7-flash, glm-4.5-flash
CORS: Supported natively — direct browser WASM calls work

Client Usage (LLMClient)

The client is at scripts/ai/llm_client.gd:

# Create and configure
var llm := LLMClient.new()
llm.api_key = "your-key"          # or load from config.env
llm.model = "glm-4.7-flash"       # free model
llm.temperature = 0.7
llm.max_tokens = 2048
add_child(llm)                     # needs to be in scene tree (uses HTTPRequest)

# Connect signals
llm.response_received.connect(_on_response)
llm.request_failed.connect(_on_error)

# Send messages
llm.send([
    {"role": "system", "content": "You are a tactical AI..."},
    {"role": "user", "content": "Game state JSON here..."}
])

# Or use convenience method for single prompts
llm.prompt("What action do you take?", "You are a tactical commander.")

Response Format

Signals, not await:

response_received(content: String) — the text content from choices[0].message.content
request_failed(error: String) — HTTP errors, JSON parse errors, empty responses

API Key Management

Stored in config.env (NOT .env — dotfiles aren't exported to WASM)
Format: ZAI_API_KEY=your-key-here
Load with FileAccess.open("res://config.env", FileAccess.READ) → parse lines
Included in WASM export via include_filter="config.env" in export_presets.cfg