OpenInference Cohere Instrumentation
Python auto-instrumentation library for the Cohere Python client.
Chat calls made with the Cohere v2 client (ClientV2 and AsyncClientV2) are traced and exported as OpenInference LLM spans, capturing the input messages, output message, invocation parameters, tool calls, and token counts.
Coverage
ClientV2.chat, AsyncClientV2.chat, ClientV2.chat_stream, and AsyncClientV2.chat_stream are instrumented. Streamed calls finish their span when the returned iterator is exhausted, with the accumulated output message, tool calls, and token counts.
The following are not traced, and calls to them produce no spans:
- The v1 client (
cohere.Client) - Embed, rerank, and classify endpoints
Installation
pip install openinference-instrumentation-cohere
Quickstart
Install packages needed for this demonstration.
pip install openinference-instrumentation-cohere cohere arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp
Start Phoenix in the background as a collector. By default, it listens on http://localhost:6006.
phoenix serve
Set up CohereInstrumentor to trace your application and send the traces to Phoenix.
from openinference.instrumentation.cohere import CohereInstrumentor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
CohereInstrumentor().instrument(tracer_provider=tracer_provider)
Run a chat request. Set the CO_API_KEY environment variable with your Cohere API key.
import cohere
co = cohere.ClientV2()
response = co.chat(
model="command-a-03-2025",
messages=[{"role": "user", "content": "Why is the sky blue?"}],
)
print(response.message.content[0].text)
More Info
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