The Context Company

Setup

Install the integration

uv pip install -U "contextcompany[agno]" agno openai yfinance

Export your API keys

export TCC_API_KEY="your_tcc_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"

$Env:TCC_API_KEY="your_tcc_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"

Initialize instrumentation

Call instrument_agno() before importing Agno.

from contextcompany.agno import instrument_agno

instrument_agno()

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools

agent = Agent(
    name="Stock Price Agent",
    model=OpenAIChat(id="gpt-5.2"),
    tools=[YFinanceTools()],
)

agent.print_response("What is the current price of NVIDIA?")

Captured data

The integration records:

Agent runs and model calls

Tool arguments, results, and errors

Prompts and responses

Token usage and latency

Session, user, organization, and custom metadata

The Context Company analyzes production conversations and traces to surface recurring patterns and account-level insights. Teams can inspect the supporting runs and use that context to improve agent behavior.

Run metadata

Use OpenInference’s using_attributes context manager to associate a run with a session, user, organization, or named agent:

from openinference.instrumentation import using_attributes

with using_attributes(
    metadata={
        "tcc.sessionId": "session-123",
        "tcc.conversational": "true",
        "tcc.agent": "stock-price-agent",
        "tcc.userId": "user-123",
        "tcc.orgId": "org-456",
        "environment": "production",
    },
):
    agent.print_response("What is the current price of NVIDIA?")

Get Started

Basics

Advanced

Production

Providers

Other

Additional Resources

The Context Company

Setup

Captured data

Run metadata

Developer resources

​Setup

​Captured data

​Run metadata

​Developer resources

Setup

Captured data

Run metadata

Developer resources