Python runtime guardrails with MCP visibility.

{
  "mcpServers": {
    "agentguard": {
      "command": "npx",
      "args": [
        "-y",
        "@agentguard47/mcp-server"
      ],
      "env": {
        "AGENTGUARD_API_KEY": "ag_your_read_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "agentguard": {
      "command": "npx",
      "args": [
        "-y",
        "@agentguard47/mcp-server"
      ],
      "env": {
        "AGENTGUARD_API_KEY": "ag_your_read_key_here"
      }
    }
  }
}

from agentguard import (
    AgentGuardError,
    BudgetGuard,
    LoopGuard,
    RateLimitGuard,
    TimeoutGuard,
    Tracer,
)

budget = BudgetGuard(max_calls=3)
loop = LoopGuard(max_repeats=3)
rate = RateLimitGuard(max_calls_per_minute=60)
timeout = TimeoutGuard(max_seconds=5)
tracer = Tracer(service="inbox-agent", guards=[rate])

try:
    with timeout:
        with tracer.trace("agent.run") as span:
            for step in range(5):
                budget.consume(calls=1)
                loop.check("search", {"query": "same query"})
                span.event("tool.call", data={"step": step, "tool": "search"})
except AgentGuardError as exc:
    print(f"AgentGuard stopped the run: {exc}")

from agentguard import AgentGuardError, BudgetGuard, LoopGuard, TimeoutGuard, Tracer
from agentguard.instrument import patch_openai
from openai import OpenAI

budget = BudgetGuard(max_cost_usd=2.00, max_calls=20)
loop = LoopGuard(max_repeats=3)
timeout = TimeoutGuard(max_seconds=300)
tracer = Tracer(service="support-agent")
patch_openai(tracer)

client = OpenAI()

try:
    with timeout:
        with tracer.trace("agent.openai") as span:
            for step in range(20):
                budget.consume(calls=1)
                span.event("agent.step", data={"step": step})
                response = client.chat.completions.create(
                    model="gpt-4o-mini",
                    messages=[{"role": "user", "content": "Summarize this inbox"}],
                )
                loop.check("chat.completions.create", {"step": step})
                print(response.choices[0].message.content)
                break
except AgentGuardError as exc:
    print(f"AgentGuard stopped the run: {exc}")