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Tracing SDK (potato_trace)

Instrument any agent with the lightweight potato_trace SDK to capture its runs into Potato for evaluation. Decorate functions with @traceable (sync or async) and nested runs are captured and sent to Potato's ingestion webhook, with optional OpenTelemetry export.

potato_trace is a lightweight SDK that captures your agent's runs and sends them to Potato for evaluation — so Potato sits in the runtime path and you evaluate real runs as they happen, instead of only importing offline dumps. It is dependency-light (standard library plus requests at send time) and a top-level package, so importing it never pulls in a web framework.

Quick start

python
import potato_trace
 
potato_trace.configure(
    potato_url="http://localhost:8000",   # or env POTATO_TRACE_URL
    api_key="",                            # or env POTATO_TRACE_API_KEY
    project_name="my-agent",
)
 
@potato_trace.traceable(run_type="tool")
def search(query):
    return run_search(query)
 
@potato_trace.traceable(run_type="llm")
def summarize(text):
    potato_trace.add_metadata(prompt_tokens=120, completion_tokens=40)
    return call_llm(text)
 
@potato_trace.traceable            # the outermost call is the trace root
def agent(task):
    return summarize(search(task))
 
agent("weather in NYC")
potato_trace.flush()               # ensure sends finish before a short script exits

Nested @traceable calls form a run tree; when the root returns, the whole tree is POSTed to /api/traces/webhook in a background thread (tracing never blocks or crashes your agent). If no potato_url is configured, tracing is a safe no-op.

API

SymbolPurpose
configure(potato_url=, api_key=, project_name=)Set the global client
@traceable / @traceable(run_type=, name=, tags=)Trace a function (sync or async); run_type: chain (default), llm, tool, retriever
trace(name, run_type=...)Context-manager form: with trace("step"): ...
set_outputs({...}) / add_metadata(**kw)Attach outputs / token usage to the current run
flush(timeout=30)Wait for pending background sends

OpenTelemetry interop (optional)

If your stack emits OpenTelemetry spans (GenAI semantic conventions), export them to Potato directly. opentelemetry-sdk is an optional extra:

python
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from potato_trace.otel_exporter import build_exporter
 
provider = TracerProvider()
provider.add_span_processor(BatchSpanProcessor(build_exporter(project_name="my-agent")))

Receiving the traces

On the Potato side, enable trace ingestion so the webhook accepts the runs:

yaml
trace_ingestion:
  enabled: true
  api_key: ""    # set a key in production; the SDK sends it as a Bearer token

Captured traces become items you can evaluate, route with automation rules, or curate into datasets.

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