Phoenix uses projects to group traces. If left unspecified, all traces are sent to a default project.
In the notebook, you can set the PHOENIX_PROJECT_NAME environment variable before adding instrumentation or running any of your code.
In python this would look like:
Note that setting a project via an environment variable only works in a notebook and must be done BEFORE instrumentation is initialized. If you are using OpenInference Instrumentation, see the Server tab for how to set the project name in the Resource attributes.
Alternatively, you can set the project name in your register function call:
If you are using Phoenix as a collector and running your application separately, you can set the project name in the Resource attributes for the trace provider.
Projects work by setting something called the Resource attributes (as seen in the OTEL example above). The phoenix server uses the project name attribute to group traces into the appropriate project.
Typically you want traces for an LLM app to all be grouped in one project. However, while working with Phoenix inside a notebook, we provide a utility to temporarily associate spans with different projects. You can use this to trace things like evaluations.
from phoenix.trace import using_project
# Switch project to run evals
with using_project("my-eval-project"):
# all spans created within this context will be associated with
# the "my-eval-project" project.
# Run evaluations here...import os
os.environ['PHOENIX_PROJECT_NAME'] = "<your-project-name>"from phoenix.otel import register
tracer_provider = register(
project_name="my-project-name",
....
)from openinference.semconv.resource import ResourceAttributes
from openinference.instrumentation.llama_index import LlamaIndexInstrumentor
from opentelemetry import trace as trace_api
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
resource = Resource(attributes={
ResourceAttributes.PROJECT_NAME: '<your-project-name>'
})
tracer_provider = trace_sdk.TracerProvider(resource=resource)
span_exporter = OTLPSpanExporter(endpoint="http://phoenix:6006/v1/traces")
span_processor = SimpleSpanProcessor(span_exporter=span_exporter)
tracer_provider.add_span_processor(span_processor=span_processor)
trace_api.set_tracer_provider(tracer_provider=tracer_provider)
# Add any auto-instrumentation you want
LlamaIndexInstrumentor().instrument()