GLM 4.7 Flash E2EE API AI Agent

GLM 4.7 Flash E2EE Pricing

An AI agent workload (50K input + 5K output tokens, 100 tasks/day) costs approximately $32.47/month on Qubax.

Why use GLM 4.7 Flash 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 4.7 Flash E2EE

GLM 4.7 Flash running in a Trusted Execution Environment with E2EE and hardware attestation. It supports a 198K-token context window and up to 4K output tokens per request. Native capabilities include tool calling, structured output, streaming. On Qubax it is served by 43 independent sellers, so pricing stays competitive and uptime stays high.

GLM 4.7 Flash 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-4.7-flash",
    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 4.7 Flash E2EE AI Agent FAQ