The ultimate observability platform for your AI agents
Track every LLM interaction, monitor costs across providers, debug hallucinations, and deploy prompts on the fly. Get started in 5 minutes.
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Everything you need to ship AI with confidence
Built for LLM developers who need real visibility into their AI systems
Unified Dashboard
View all your LLM runs in one Mixpanel-like platform. Filter by model, user, session, or any custom attribute.
Cost Tracking
Track costs precisely across different event types, LLMs, users, and any factor you care about. Know exactly where your money goes.
Error Detection
See exactly where your AI agent made mistakes, had issues, or hallucinated. Fix problems on the fly before users notice.
Instant Alerting
Get notified when your agent fails via Slack, Microsoft Teams, Google Workspace, and more. Never miss a critical issue again.
Prompt Deployment
Deploy new prompts without recompiling your code. A/B test variations and roll out changes instantly.
See it for yourself
Integrate in minutes with just a few lines of code
# Install the SDK # pip install git+ssh://git@github.com/stainless-sdks/xenostrace-python.git import os from xenostrace import Xenostrace client = Xenostrace( api_key=os.environ.get("XENOSTRACE_API_KEY"), ) # Wrap your LLM interactions trace = client.begin(conversation_params) # ... your LLM code here ... trace.finish() # Use decorators for tool calls @tool_span def search_database(query: str): return db.search(query)