AgentGuard
VerifiedPython SDK that caps agent spend and halts runaway loops in real time.
What is AgentGuard?
AgentGuard provides in-process controls that stop problematic agent behavior before costs escalate. It monitors tool calls, retries, and token usage across providers and raises exceptions to terminate runs that exceed defined thresholds.
The library integrates without altering existing agent frameworks and requires no external services unless an HTTP sink is explicitly configured. It focuses on runtime enforcement rather than post-run analysis or network-level routing.
Developers building autonomous agents that interact with tools or external APIs benefit most, especially when runs involve multiple providers or repeated operations that risk uncontrolled spending.
Capabilities
What you can build with AgentGuard
Budget Protection Across Providers
Set a single spending cap that covers calls to OpenAI, Anthropic, and other services in one run, preventing combined overruns from many small requests.
Loop and Retry Prevention
Automatically detect repeated tool calls or endless retry attempts and raise exceptions to end the process before resources are wasted.
Timeout Enforcement
Apply wall-clock limits to long-running agents so they cannot hang indefinitely and consume unexpected compute time.
Install AgentGuard
pip install agentguard47pip install agentguard47
agentguard- 1Install via pip with the agentguard47 package.
- 2Import the guards into your Python agent code.
- 3Configure budget, loop, retry, and timeout settings as needed.
- 4Run the agent normally; guards activate automatically inside the process.
- 5Review local JSONL traces after any terminated run for details.
Works with
AgentGuard: pros & cons
Pros
- +Zero external dependencies and fully local operation by default.
- +Raises exceptions in-process to stop runs immediately.
- +Supports mixed-provider budget tracking in a single envelope.
- +MIT licensed with optional HTTP reporting only when enabled.
Cons
- –Limited to Python environments only.
- –Does not provide OS-level sandboxing or filesystem controls.
- –Requires manual integration into each agent codebase.
Frequently asked questions
No, all tracing and reporting stay local unless you explicitly enable the HttpSink option.
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