v1.2.1 — CostTracker Improvements

What's New in v1.2.1

CostTracker Improvements

• Per-span cost events: CostTracker now includes running total in span end events (cost_usd field)
• Model pricing accuracy: Updated model pricing for latest OpenAI, Anthropic, and Google models
• Warning on unknown models: estimate_cost() logs a warning when encountering unrecognized model names

Bug Fixes

• Fixed span end events not including accumulated cost data
• Improved CostTracker thread safety

Full Changelog

Full Changelog: v1.2.0...v1.2.1

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Installation

pip install agentguard47==1.2.1

Quick Start

from agentguard import Tracer, BudgetGuard

guard = BudgetGuard(max_budget_usd=5.00)
tracer = Tracer(service="my-agent", guards=[guard])

with tracer.span("agent-run"):
    # Your agent code here
    pass  # BudgetExceeded raised if cost > $5

v1.0.0 — Production GA

AgentGuard v1.0.0 — Production GA

Runtime guardrails for AI agents. Stop loops, enforce budgets, trace everything — zero dependencies.

pip install agentguard47

Highlights

• 5 guards: LoopGuard, FuzzyLoopGuard, BudgetGuard, TimeoutGuard, RateLimitGuard
• 4 integrations: LangChain, LangGraph, CrewAI, OpenTelemetry
• Auto-instrumentation: patch_openai() / patch_anthropic() for automatic tracing
• Full async API: AsyncTracer, async decorators, async monkey-patches
• Cost tracking: Built-in pricing for OpenAI, Anthropic, Google, Mistral, Meta
• Evaluation: Assert properties of traces in tests or CI
• Production-ready: Gzip compression, retry with backoff, sampling, SSRF protection
• CLI: agentguard report, view, summarize, eval

Quality

• 317 tests, 86% coverage
• Python 3.9-3.12
• Zero dependencies (pure Python stdlib)
• Development Status: Production/Stable

Links

• PyPI: https://pypi.org/project/agentguard47/1.0.0/
• Docs: https://github.com/bmdhodl/agent47#readme
• Changelog: https://github.com/bmdhodl/agent47/blob/main/CHANGELOG.md

v0.5.0 — Cost Tracking & Dollar Budget Guards

New Features

• Cost tracking: Dollar estimates per LLM call (OpenAI, Anthropic, Gemini, Mistral)
• Dollar budget guards: BudgetGuard(max_cost_usd=5.00) — stop at a dollar threshold
• Cost in LangChain handler: Auto-estimates cost from token usage and model name
• Dashboard UI overhaul: Improved trace viewer, cost breakdowns, responsive layout
• 106 tests passing across all modules

from agentguard import BudgetGuard

guard = BudgetGuard(max_cost_usd=5.00)
guard.consume(cost_usd=0.12)  # raises BudgetExceeded when over budget

pip install agentguard47

Full changelog: v0.4.0...v0.5.0

v0.4.0 — Hosted Dashboard & Billing

New Features

• Hosted dashboard: Next.js 14 app with auth, Gantt viewer, usage tracking at app.agentguard47.com
• Billing: Stripe integration — Free / Pro ($39/mo) / Team ($149/mo)
• HttpSink: Send traces to the hosted dashboard
• API key management: Generate and revoke ag_-prefixed keys
• Landing page: agentguard47.com with pricing, FAQ, trust signals
• Rate limiting: 100 req/min per IP on ingest endpoint

pip install agentguard47

v0.3.0 — Evaluation, Auto-Instrumentation, Gantt Viewer

New Features

• Evaluation as Code: EvalSuite — chainable assertion-based trace analysis for CI
• Auto-instrumentation: @trace_agent / @trace_tool decorators, patch_openai() / patch_anthropic()
• Gantt trace viewer: agentguard view traces.jsonl opens a timeline visualization in your browser

pip install agentguard47

v0.2.0 — Initial Release

AgentGuard v0.2.0 — Initial Release

The first public release of AgentGuard: zero-dependency runtime guardrails for AI agents.

Features

• Tracing: Structured JSONL traces with span/event correlation
• Loop detection: LoopGuard catches repeated tool calls in a sliding window
• Budget enforcement: BudgetGuard with token, call count, and dollar limits
• Timeout protection: TimeoutGuard for wall-clock limits
• Recording & replay: Deterministic replay for regression testing
• CLI: agentguard report, agentguard summarize
• LangChain integration: AgentGuardCallbackHandler callback handler

Install

pip install agentguard47

Pure Python stdlib. Zero dependencies. MIT licensed.