Integrations

The Overmind SDKs automatically instrument your LLM provider calls with no changes to your existing code. See the Python SDK Reference or JS/TS SDK Reference for full API details, or How To Use Tracing for a quick start.

LLM Providers

Python

Provider	Supported
OpenAI	✓
Anthropic	✓
Google Gemini	✓
Agno	✓

Call overmind.init() once at startup with the providers you use. Your existing LLM client code stays unchanged — no import swaps, no proxy routing.

from overmind import init

init(service_name="my-service", providers=["openai", "anthropic"])

Pass an empty providers list (or omit it) to auto-detect all installed providers.

JavaScript / TypeScript

Provider	enabledProviders key	Package
OpenAI	openai: OpenAI	openai
Anthropic	anthropic: Anthropic	@anthropic-ai/sdk
Google Gemini	googleGenAI: GoogleGenAI	@google/genai

Pass the imported provider module to initTracing({ enabledProviders: { ... } }). Your existing LLM code works unchanged.

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Frameworks

Framework	Status	Notes
Agno	Supported	Traces agent runs, tool calls, and reasoning steps
OpenAI Agents SDK	Supported	Traces agent tool calls and reasoning steps

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Auto-instrumentation

Python

The Python SDK uses OpenTelemetry auto-instrumentation. Call init() once at startup and every subsequent LLM call from your existing client is automatically traced.

• OpenAI — captures all chat completion, response, and embedding calls
• Anthropic — captures all message calls
• Google Gemini — captures all generate_content calls
• Agno — captures agent runs, tool calls, and model interactions

from overmind import init

init(service_name="my-service")  # instruments all installed providers

JavaScript / TypeScript

The JS SDK instruments LLM calls via initTracing(). Call it once before any LLM calls and all subsequent provider calls are traced automatically.

• OpenAI — captures chat completions, completions, and image generation calls
• Anthropic — captures all message calls
• Google Gemini — captures all generateContent and streaming calls

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Sending traces from any language

If you’re not using Python, you can send traces directly via the OTLP HTTP endpoint:

POST https://api.overmindlab.ai/api/v1/traces
Header: X-Api-Key: ovr_your_token_here
Content-Type: application/x-protobuf

The endpoint accepts standard OpenTelemetry OTLP trace data. Any OpenTelemetry SDK (Go, Java, Node.js, etc.) can export to this endpoint.

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For integration requests, contact support@overmindlab.ai.