DSPy

npx skills add AgnostAI/skills --skill agnost-ai

Use the agnost-ai skill to add Agnost AI analytics to this DSPy application.
Org ID: your-org-id
Instrument the real DSPy module call and verify one fresh interaction.

pip install agnost

import agnost

agnost.init("your-org-id")
interaction = agnost.begin(user_id="u-42", agent_name="dspy-qa", input=question)
try:
    result = qa(question=question)
    interaction.end(output=result.answer)
except Exception as exc:
    interaction.end(output=str(exc), success=False)
    raise
finally:
    agnost.shutdown()

pip install dspy-ai openinference-instrumentation-dspy \
            opentelemetry-sdk opentelemetry-exporter-otlp-proto-http

import os, dspy
from openinference.instrumentation.dspy import DSPyInstrumentor
from openinference.instrumentation import using_attributes
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter

os.environ["OTEL_EXPORTER_OTLP_ENDPOINT"] = "https://otel.agnost.ai"
os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = "X-Agnost-Org-ID=<your-org-id>"

provider = TracerProvider()
provider.add_span_processor(BatchSpanProcessor(OTLPSpanExporter()))
trace.set_tracer_provider(provider)
DSPyInstrumentor().instrument(tracer_provider=provider)

dspy.settings.configure(lm=dspy.LM("openai/gpt-4o-mini"))
qa = dspy.Predict("question -> answer")

with using_attributes(session_id="sess-123", user_id="u-42"):
    qa(question="What is OTel?")