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Four ways in.
One view of every agent.

Add our SDK to the agents you build, or let FriskAI read the telemetry you already collect in OpenTelemetry, Datadog, Langfuse or Claude Code. Whichever you pick, every agent gets the same findings and profiles.

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FriskAI SDK

Instrument the agents you build

Wrap your agent with our SDK and every call it makes gets recorded with its arguments, output and timing. Your agent code doesn’t change otherwise.

What we receive

Every tool call with its arguments, output, errors and timing, tied to the session and the agent version. It’s the most complete picture we get from any source.

  • Python and TypeScript SDKs

    Wrap any Python or TypeScript agent.

    Available

  • Framework adapters

    LangChain and LangGraph, the Claude Agent SDK, Strands Agents and Mastra.

    Available

  • Custom runtimes

    Wrap any call your agent makes.

    Available
Python SDK
import os
from langchain.agents import create_agent
from frisk_sdk.adapters.langchain import Frisk

frisk = Frisk(api_key=os.getenv("FRISK_API_KEY"))

agent = create_agent(
    model=get_llm(),
    tools=frisk.wrap_tools(llm_tools),
    system_prompt=system_prompt,
)

Agent telemetry

Stream from the AI tools your teams use

Coding agents and other AI tools that speak OpenTelemetry can send it straight to us. For Claude Code, you set it once in managed settings and every developer’s sessions start reporting.

What we receive

Model requests, tool results, permission decisions, cost and session context. Prompt text stays off unless you turn it on.

  • Claude Code

    Claude Code’s own OpenTelemetry export, rolled out to everyone through managed settings.

    Early access

  • OpenTelemetry (OTLP)

    Any agent or framework that emits OpenTelemetry traces or logs over OTLP.

    Early access
{
  "env": {
    "CLAUDE_CODE_ENABLE_TELEMETRY": "1",
    "OTEL_LOGS_EXPORTER": "otlp",
    "OTEL_METRICS_EXPORTER": "otlp",
    "OTEL_LOG_TOOL_DETAILS": "1",
    "OTEL_EXPORTER_OTLP_PROTOCOL": "grpc",
    "OTEL_EXPORTER_OTLP_ENDPOINT": "<your FriskAI endpoint>",
    "OTEL_EXPORTER_OTLP_HEADERS": "Authorization=Bearer <FRISK_API_KEY>"
  }
}

Observability platforms

Connect the platform that already holds your traces

If your traces already go to an observability or LLM tracing platform, we read them from there. There’s nothing new to install in your agents.

What we receive

Whatever your traces already capture, like tool calls, generations, latency and cost, mapped into the same sessions as every other source.

  • Datadog

    Read LLM Observability traces from your Datadog account.

    Early access

  • Langfuse

    Read the traces already in your Langfuse projects.

    Early access

How setup works

  1. 1You share read-only credentials for the account or project that holds your traces.
  2. 2You pick the services, projects or environments we should read.
  3. 3We learn what normal looks like from those traces, then open findings on anything new.

Logs and exports

Bring activity that lives in logs

Some products only record what their AI did in logs, audit trails or exports. We build the pipeline that pulls it out and brings it into FriskAI.

What we receive

Whatever the source records. We go through the fields with you first and tell you up front what we will and won’t be able to see.

  • Application and audit logs

    Agent and assistant activity written to your log pipeline.

    Custom pipeline

  • Vendor admin exports

    Activity and audit exports from AI products you license.

    Custom pipeline

  • Data warehouse tables

    Activity already landed in your warehouse or lake.

    Custom pipeline

How setup works

  1. 1We look at what the product records and agree with you on what we’ll see.
  2. 2We build the pipeline that turns it into sessions in FriskAI.
  3. 3We keep it running and tell you if the source format changes.

Not sure which path fits?

Book a demo and bring a list of the agents and AI tools you run. We’ll match each one to a path and show you what we’d see once it’s connected.

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