LangSmith traces your agents. AgentShield traces, analyzes risk, enforces approvals, tracks costs, and generates compliance reports.
LangSmith is a developer debugging tool. AgentShield is an observability, governance, and compliance platform for AI agents in production.
A detailed look at what each platform offers.
| Feature | LangSmith | AgentShield |
|---|---|---|
| Observability | ||
| Agent tracing | ✓ | ✓ |
| Span tree visualization | ✓ | ✓ |
| Token & latency tracking | ✓ | ✓ |
| Multi-agent session grouping | ✓ | ✓ |
| Risk & Safety | ||
| Real-time output risk analysis | ✗ | ✓ |
| Hallucination detection | ✗ | ✓ |
| Prompt injection detection | ✗ | ✓ |
| Adversarial testing suite | ✗ | ✓ |
| Risk-level alerts | ✗ | ✓ |
| Governance | ||
| Human-in-the-loop approvals | ~ | ✓ |
| Approval audit trail | ✗ | ✓ |
| Configurable approval rules | ✗ | ✓ |
| Webhook notifications (Slack) | ✓ | ✓ |
| Cost Management | ||
| Cost per agent | ~ | ✓ |
| Cost per model | ~ | ✓ |
| Budget limits with alerts | ✗ | ✓ |
| Daily cost trends | ~ | ✓ |
| Compliance | ||
| EU AI Act compliance reports | ✗ | ✓ |
| PDF report download | ✗ | ✓ |
| Agent inventory & risk summary | ✗ | ✓ |
| Integration | ||
| LangChain support | ✓ | ✓ |
| CrewAI support | ~ | ✓ |
| Framework-agnostic SDK | ~ | ✓ |
| Setup complexity | SDK + config | 3 lines of code |
✓ = Full support ~ = Partial / manual setup ✗ = Not available
LangSmith is a great debugging tool. But production AI agents need more than debugging.
LangSmith shows you what your agent did. It doesn't tell you if what it did was dangerous — hallucinations, unauthorized commitments, prompt injection, or compliance violations go undetected.
The EU AI Act deadline is August 2, 2026. LangSmith has zero compliance features — no risk classification, no regulatory reports, no audit documentation. Fines reach 7% of global turnover.
When your agent decides to process a $5,000 refund or send an email to a customer, LangSmith won't pause and ask for approval. AgentShield does — with configurable rules and a full audit trail.
LangSmith tracks costs at the project level with manual tagging. It has no per-agent budget limits, no automatic alerts at 80% spend, and no way to prevent a recursive loop from running up a $47,000 bill.
LangSmith charges per seat + per trace. AgentShield charges per event — no per-seat fees.
+ $0.50 per 1,000 traces
No per-seat fees
Add AgentShield to your existing LangChain agent without changing your code.
# Set environment variables
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=ls_...
export LANGCHAIN_PROJECT=my-project
# Install SDK
pip install langsmith
# Configure in code
from langsmith import Client
client = Client()
# Tracing only — no risk analysis,
# no approvals, no compliance# Install SDK
pip install agentshield-ai[langchain]
# Add to your existing agent
from agentshield import AgentShield
from agentshield.langchain_callback \
import AgentShieldCallbackHandler
shield = AgentShield(api_key="ask_...")
handler = AgentShieldCallbackHandler(
shield, agent_name="my-agent"
)
# Tracing + risk analysis + costs
# + approvals + complianceDifferent tools for different needs. Here's when each one makes sense.
Add risk analysis, approval workflows, cost tracking, and compliance reports to your AI agents. 3 lines of code. Free to start.
Free tier — no credit card required.