LoongSuite CoPaw Instrumentation
Project description
LoongSuite CoPaw Instrumentation
LoongSuite instrumentation for CoPaw (personal assistant built on AgentScope).
Getting Started
CoPaw is started as its own app (CLI / process entrypoint), not as a library you
embed with a few lines of python your_script.py. The practical approach is to
install CoPaw, enable LoongSuite Site-bootstrap so instrumentation loads
before CoPaw imports run, then start CoPaw with copaw app.
Step 1 — Install CoPaw
pip install copaw
Step 2 — Site-bootstrap
Site-bootstrap installs a .pth hook under site-packages so a small
bootstrap module runs very early in the interpreter, before CoPaw’s imports.
That path applies the same OpenTelemetry auto-instrumentation as
loongsuite-instrument / sitecustomize, so you do not edit CoPaw source
or wrap copaw app in a custom launcher. Installing loongsuite-site-bootstrap
does not install instrumentations by itself; pair it with loongsuite-bootstrap
(or equivalent pip install of the packages you need).
2.1 — Install loongsuite-site-bootstrap
pip install loongsuite-site-bootstrap
2.2 — Install instrumentations (including this package)
pip install loongsuite-instrumentation-copaw loongsuite-instrumentation-agentscope
2.3 — Enable the hook
In every shell or service manager that starts CoPaw, set:
export LOONGSUITE_PYTHON_SITE_BOOTSTRAP=True
The value is treated case-insensitively as on/off (True enables). You can also
put "LOONGSUITE_PYTHON_SITE_BOOTSTRAP": "true" in bootstrap-config.json
(see below); environment variables take precedence over the file for any key
that is already set in the process.
2.4 — Configure export via ~/.loongsuite/bootstrap-config.json
Create the directory and file if needed. The JSON root must be an object; string
keys; values are applied to os.environ with setdefault semantics so
already-set environment variables are never overwritten by the file.
Example for OTLP/gRPC (adjust host, port, and service name):
{
"OTEL_SERVICE_NAME": "copaw",
"OTEL_EXPORTER_OTLP_PROTOCOL": "grpc",
"OTEL_EXPORTER_OTLP_ENDPOINT": "http://127.0.0.1:4317",
"OTEL_TRACES_EXPORTER": "otlp",
"OTEL_METRICS_EXPORTER": "otlp"
}
Example for quick local debugging with console exporters:
{
"OTEL_SERVICE_NAME": "copaw",
"OTEL_TRACES_EXPORTER": "console",
"OTEL_METRICS_EXPORTER": "console"
}
After a successful run you should see a line on stdout such as:
loongsuite-site-bootstrap: started successfully (OpenTelemetry auto-instrumentation initialized).
Do not start Python with python -S (that disables site and .pth processing).
Beta / scope: With the hook enabled, every Python process in that environment that imports
sitemay load the bootstrap—not onlycopaw app. Use a dedicated virtual environment for production if you need isolation.
Step 3 — Run CoPaw
With Site-bootstrap enabled in the same shell/session, start CoPaw as usual:
copaw app
Telemetry for AgentRunner.query_handler (Entry span) is then active without
modifying CoPaw source code.
Optional: programmatic hook
If you control an embedding process and prefer not to use site-bootstrap, you
can call CoPawInstrumentor().instrument() (and uninstrument() when done)
before CoPaw runs in that process—the hook point is still
AgentRunner.query_handler. You must still configure the global
TracerProvider / export (for example via OpenTelemetry env vars) consistently
with the rest of your app.
What this package instruments
When you enable LoongSuite for CoPaw, each user or channel “turn” that goes
through CoPaw’s conversation runner produces one application Entry trace for
that turn (span name enter_ai_application_system). It covers the full path on
the CoPaw side—approval, built-in commands, or a normal agent run—not only the
LLM call inside the agent.
Recorded on that span (when the data is available):
- Operation: entry into the AI application (
gen_ai.operation.name=enter,gen_ai.span.kind=ENTRY). - Streaming: time from the start of the turn to the first streamed chunk
(
gen_ai.response.time_to_first_token, in nanoseconds). - Identity / routing: session id (
gen_ai.session.id), user id (gen_ai.user.id), CoPaw agent id (copaw.agent_id), channel (copaw.channel).
Calls to models, tools, and other AgentScope primitives are not duplicated here: use AgentScope (and your existing model client) instrumentations alongside this package so they appear as child spans under this entry when configured.
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