Set up the SDK

First export your Respan API key, then pick the instrumentation path that matches your stack.

$
export RESPAN_API_KEY="your-api-key"

Auto-instrumented SDKs

Most of these LLM SDKs are traced automatically — just install Respan and initialize, no instrumentor imports needed. A few (marked ➕) need an explicit instrumentor; see the footnotes below the table.

$
pip install respan-ai

1
from respan import Respan
2
Respan()
3
# All supported LLM calls are now auto-traced

Legend: ✅ auto-instrumented (no imports) · ➕ supported, needs an explicit instrumentor (see footnotes) · — not supported.

¹ Not bundled in respan-ai. Install the provider’s instrumentor and pass it, e.g. pip install respan-instrumentation-cohere then Respan(instrumentations=[CohereInstrumentor()]). Mistral and Groq require Python <3.13.

² In TypeScript, @google/genai is not auto-instrumented — see the Google GenAI guide.

Agent frameworks (explicit instrumentor)

Agent frameworks require an explicit instrumentor because they capture higher-level spans (agent runs, handoffs, tool calls) beyond raw LLM calls.

$
pip install respan-ai respan-instrumentation-openai-agents openai-agents

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from agents import Agent, Runner
2
from respan import Respan
3
from respan_instrumentation_openai_agents import OpenAIAgentsInstrumentor
4
5
Respan(instrumentations=[OpenAIAgentsInstrumentor()])
6
7
agent = Agent(name="Assistant", instructions="Reply in one sentence.")
8
result = Runner.run_sync(agent, "Explain tracing.")
9
print(result.final_output)

Disable auto-instrumentation

By default, Respan auto-instruments all supported providers. You can disable specific ones:

1
from respan import Respan
2
3
# Disable specific providers
4
Respan(
5
    block_instruments={"bedrock", "vertexai"}
6
)

In Python, you can also enable only specific providers instead of disabling:

1
from respan import Respan
2
3
# Only instrument OpenAI and Anthropic
4
Respan(
5
    instruments={"openai", "anthropic"}
6
)

Add custom instrumentors

Agent frameworks and custom integrations require explicit instrumentors. Pass them via the instrumentations parameter:

1
from respan import Respan
2
from respan_instrumentation_openai_agents import OpenAIAgentsInstrumentor
3
4
Respan(instrumentations=[OpenAIAgentsInstrumentor()])

Next steps

• Customize traces — Use decorators to create nested, hierarchical traces
• Enrich span attributes — Attach metadata, customer identifiers, and other properties
• Manual ingestion — Send spans via OTLP or JSON API