Prism AI Observability
AI observability built for compliance teams.
Every LLM call captured, scored, and stored with PII scrubbed before it lands in your database. Regulator-ready exports in under 60 seconds.
- #4821Credit Risk Query1.3s5/5PII redacted
- #4820Underwriting Decision0.9s3/5Drift detected
- #4819Policy Lookup0.4s5/5Grounded
Audit pack ready
47 traces · 60s export
Prism
Connect PRISMtrace to the tools your team already uses
SDK, proxy, callbacks, OpenTelemetry, and cloud connectors. Instrument your way, not ours.
- Zero-code proxy: swap one base URL, traces flow in minutes
- Python SDK with decorators and context managers
- LangChain and LangGraph callback handlers
- OpenTelemetry instrumentor and automatic Claude tool-use tracing
The problem
Every team's AI stack looks different. Some run LangChain in Python, some pipe through OpenTelemetry, some need zero-code instrumentation to ship today. PRISMtrace integrates on the path that fits your stack, not the one that fits ours.
Capabilities
What you get with Prism
Zero-code proxy
Fastest start. Swap one base URL on your LLM client; every call is traced automatically. Time to first trace: minutes.
Python SDK
Decorators and context managers for full control over what gets instrumented. Setup time: under an hour.
LangChain / LangGraph callbacks
Add one callback handler to your existing LangChain or LangGraph orchestration. No other changes.
OpenTelemetry instrumentor
Drop-in OTel instrumentor for teams with existing observability infrastructure.
Claude tool-use auto-tracing
Automatic agent trajectory capture for Anthropic Claude tool use via the proxy. No manual step logging.
Cloud connectors
Databricks (Delta Lake export), Snowflake (warehouse stream), AWS Bedrock and S3, Azure OpenAI and AI Foundry.
API-first
Everything in PRISMtrace is accessible via REST API (/api/v1). The same API the UI uses, available for CI/CD gates, Slack bots, and custom dashboards.
How it works
From instrumentation to evidence
- 1
Pick an instrumentation path
Zero-code proxy, Python SDK, LangChain or LangGraph callbacks, OpenTelemetry instrumentor, or Claude tool-use proxy tracing.
- 2
Point traces at your tenant
Swap one base URL or add one handler. Traces stream to your PRISMtrace tenant in real time.
- 3
Connect cloud and data platforms
Export to Databricks Delta Lake, Snowflake, AWS S3 or Bedrock; deploy on Azure with Azure AD identity.
What teams use it for
In production, every day
Fastest start
Zero-code proxy gets a first trace flowing in minutes with no application changes, just swap one base URL.
Full programmatic control
Python SDK decorators and context managers, LangChain callbacks, or OpenTelemetry instrumentors fit teams that want explicit instrumentation.
Custom pipelines and gates
Build CI/CD quality gates, Slack alerting bots, or Grafana dashboards on the same REST API the PRISMtrace UI uses.
Instrumentation paths
Pick the path that fits your stack
| Method | Best for | Setup time |
|---|---|---|
| Zero-code proxy | Fastest start; no code changes | Minutes, swap one base URL |
| Python SDK | Full control with decorators and context managers | Under one hour |
| LangChain / LangGraph callbacks | Teams using LangChain orchestration | Add one callback handler |
| OpenTelemetry instrumentor | Teams with existing OTel infrastructure | Add one instrumentor |
| Claude tool-use tracing | Anthropic Claude with tool use | Automatic trajectory capture via proxy |
Method
Zero-code proxy
Best for
Fastest start; no code changes
Setup time
Minutes, swap one base URL
Method
Python SDK
Best for
Full control with decorators and context managers
Setup time
Under one hour
Method
LangChain / LangGraph callbacks
Best for
Teams using LangChain orchestration
Setup time
Add one callback handler
Method
OpenTelemetry instrumentor
Best for
Teams with existing OTel infrastructure
Setup time
Add one instrumentor
Method
Claude tool-use tracing
Best for
Anthropic Claude with tool use
Setup time
Automatic trajectory capture via proxy
Cloud and data platform connectors
Connect the platforms your data already lives on
Databricks
Export traces and evaluation data to Delta Lake tables for advanced analytics, ML pipeline integration, and long-term retention in your data lakehouse.
Snowflake
Stream trace data to Snowflake for cross-referencing with business data, building custom BI dashboards, and supporting data governance workflows.
AWS (Bedrock, S3)
Native Bedrock model support via proxy. S3 export for archival and compliance retention requirements.
Azure
Azure-hosted deployment support; integration with Azure AD for enterprise identity management.
API-first
Everything in PRISMtrace is accessible via REST API (/api/v1). Build custom integrations, CI/CD quality gates, Slack alerting bots, or Grafana dashboards. The API is the same one the PRISMtrace UI uses.
Built for ML Platform Teams, Engineering Leads
Related capabilities
LLM Observability: Trace Logging Built for Compliance
Structured traces give you the full story of what your AI said, why it said it, how long it took, and what it cost.
LLM Guardrails: PII Redaction and Prompt Injection Blocking
Real-time detection and enforcement for PII, PHI, prompt injection, content policy violations, and off-topic responses, scoped per agent, per project, per knowledge base.
LLM Evaluations: Five-Dimension Automated Quality Scoring
Define quality rubrics, score every interaction, and catch regressions before users do, with automated evaluators that run on every trace or on a schedule you control.
Prism X: AI DLP for Employees Using ChatGPT, Claude, Gemini
Prism X enforces data loss prevention policy in the browser, before prompts and uploads reach third-party AI services. Signed policy, real-time enforcement, audit-grade events.
Start tracing in 5 minutes
One SDK. Five minutes. Full audit trails, PII redaction, and guardrail enforcement, from day one.