GLM 5.2 E2EE API AI Agent

GLM 5.2 E2EE Pricing

An AI agent workload (50K input + 5K output tokens, 100 tasks/day) costs approximately $253.29/month on Qubax.

Why use GLM 5.2 E2EE for AI agents on Qubax?

• 🤖Autonomous agents that call APIs and external tools
• 🤖Multi-step reasoning for complex task completion
• 🤖Agent orchestration with LangChain, CrewAI, or custom frameworks
• 🤖Function calling for structured, reliable agent responses

About GLM 5.2 E2EE

GLM 5.2 served by Venice in a trusted execution environment with end-to-end encryption, hardware attestation, reasoning, and tool support. It supports a 524K-token context window and up to 33K output tokens per request. Native capabilities include reasoning, tool calling, streaming. On Qubax it is served by 23 independent sellers, so pricing stays competitive and uptime stays high.

GLM 5.2 E2EE AI Agent — code example

from openai import OpenAI
import json

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="qbx_live_YOUR_KEY",
)

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}},
    },
}]

resp = client.chat.completions.create(
    model="e2ee-glm-5-2-p",
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=tools,
)
call = resp.choices[0].message.tool_calls[0]
print(json.loads(call.function.arguments))  # -> {"city": "Tokyo"}

More Zhipu AI models on Qubax

GLM 5.2 E2EE AI Agent FAQ