Files
crewAI/src/crewai/telemetry/telemetry.py
Eduardo Chiarotti 9f9b52dd26 fix: Fix planning_llm issue (#1189)
* fix: Fix planning_llm issue

* fix: add poetry.lock updated version

* fix: type checking issues

* fix: tests
2024-08-14 18:54:53 -03:00

471 lines
19 KiB
Python

from __future__ import annotations
import asyncio
import json
import os
import platform
from typing import TYPE_CHECKING, Any
import pkg_resources
from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.resources import SERVICE_NAME, Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.trace import Span, Status, StatusCode
if TYPE_CHECKING:
from crewai.crew import Crew
from crewai.task import Task
class Telemetry:
"""A class to handle anonymous telemetry for the crewai package.
The data being collected is for development purpose, all data is anonymous.
There is NO data being collected on the prompts, tasks descriptions
agents backstories or goals nor responses or any data that is being
processed by the agents, nor any secrets and env vars.
Data collected includes:
- Version of crewAI
- Version of Python
- General OS (e.g. number of CPUs, macOS/Windows/Linux)
- Number of agents and tasks in a crew
- Crew Process being used
- If Agents are using memory or allowing delegation
- If Tasks are being executed in parallel or sequentially
- Language model being used
- Roles of agents in a crew
- Tools names available
Users can opt-in to sharing more complete data using the `share_crew`
attribute in the Crew class.
"""
def __init__(self):
self.ready = False
self.trace_set = False
try:
telemetry_endpoint = "https://telemetry.crewai.com:4319"
self.resource = Resource(
attributes={SERVICE_NAME: "crewAI-telemetry"},
)
self.provider = TracerProvider(resource=self.resource)
processor = BatchSpanProcessor(
OTLPSpanExporter(
endpoint=f"{telemetry_endpoint}/v1/traces",
timeout=30,
)
)
self.provider.add_span_processor(processor)
self.ready = True
except BaseException as e:
if isinstance(
e,
(SystemExit, KeyboardInterrupt, GeneratorExit, asyncio.CancelledError),
):
raise # Re-raise the exception to not interfere with system signals
self.ready = False
def set_tracer(self):
if self.ready and not self.trace_set:
try:
trace.set_tracer_provider(self.provider)
self.trace_set = True
except Exception:
self.ready = False
self.trace_set = False
def crew_creation(self, crew: Crew, inputs: dict[str, Any] | None):
"""Records the creation of a crew."""
if self.ready:
try:
tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Crew Created")
self._add_attribute(
span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
self._add_attribute(span, "python_version", platform.python_version())
self._add_attribute(span, "crew_key", crew.key)
self._add_attribute(span, "crew_id", str(crew.id))
self._add_attribute(span, "crew_process", crew.process)
self._add_attribute(span, "crew_memory", crew.memory)
self._add_attribute(span, "crew_number_of_tasks", len(crew.tasks))
self._add_attribute(span, "crew_number_of_agents", len(crew.agents))
if crew.share_crew:
self._add_attribute(
span,
"crew_agents",
json.dumps(
[
{
"key": agent.key,
"id": str(agent.id),
"role": agent.role,
"goal": agent.goal,
"backstory": agent.backstory,
"verbose?": agent.verbose,
"max_iter": agent.max_iter,
"max_rpm": agent.max_rpm,
"i18n": agent.i18n.prompt_file,
"llm": json.dumps(
self._safe_llm_attributes(agent.llm)
),
"delegation_enabled?": agent.allow_delegation,
"tools_names": [
tool.name.casefold()
for tool in agent.tools or []
],
}
for agent in crew.agents
]
),
)
self._add_attribute(
span,
"crew_tasks",
json.dumps(
[
{
"key": task.key,
"id": str(task.id),
"description": task.description,
"expected_output": task.expected_output,
"async_execution?": task.async_execution,
"human_input?": task.human_input,
"agent_role": task.agent.role
if task.agent
else "None",
"agent_key": task.agent.key if task.agent else None,
"context": (
[task.description for task in task.context]
if task.context
else None
),
"tools_names": [
tool.name.casefold()
for tool in task.tools or []
],
}
for task in crew.tasks
]
),
)
self._add_attribute(span, "platform", platform.platform())
self._add_attribute(span, "platform_release", platform.release())
self._add_attribute(span, "platform_system", platform.system())
self._add_attribute(span, "platform_version", platform.version())
self._add_attribute(span, "cpus", os.cpu_count())
self._add_attribute(
span, "crew_inputs", json.dumps(inputs) if inputs else None
)
span.set_status(Status(StatusCode.OK))
span.end()
except Exception:
pass
def task_started(self, crew: Crew, task: Task) -> Span | None:
"""Records task started in a crew."""
if self.ready:
try:
tracer = trace.get_tracer("crewai.telemetry")
created_span = tracer.start_span("Task Created")
self._add_attribute(created_span, "crew_key", crew.key)
self._add_attribute(created_span, "crew_id", str(crew.id))
self._add_attribute(created_span, "task_key", task.key)
self._add_attribute(created_span, "task_id", str(task.id))
if crew.share_crew:
self._add_attribute(
created_span, "formatted_description", task.description
)
self._add_attribute(
created_span, "formatted_expected_output", task.expected_output
)
created_span.set_status(Status(StatusCode.OK))
created_span.end()
span = tracer.start_span("Task Execution")
self._add_attribute(span, "crew_key", crew.key)
self._add_attribute(span, "crew_id", str(crew.id))
self._add_attribute(span, "task_key", task.key)
self._add_attribute(span, "task_id", str(task.id))
if crew.share_crew:
self._add_attribute(span, "formatted_description", task.description)
self._add_attribute(
span, "formatted_expected_output", task.expected_output
)
return span
except Exception:
pass
return None
def task_ended(self, span: Span, task: Task, crew: Crew):
"""Records task execution in a crew."""
if self.ready:
try:
if crew.share_crew:
self._add_attribute(
span,
"task_output",
task.output.raw if task.output else "",
)
span.set_status(Status(StatusCode.OK))
span.end()
except Exception:
pass
def tool_repeated_usage(self, llm: Any, tool_name: str, attempts: int):
"""Records the repeated usage 'error' of a tool by an agent."""
if self.ready:
try:
tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Tool Repeated Usage")
self._add_attribute(
span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
self._add_attribute(span, "tool_name", tool_name)
self._add_attribute(span, "attempts", attempts)
if llm:
self._add_attribute(
span, "llm", json.dumps(self._safe_llm_attributes(llm))
)
span.set_status(Status(StatusCode.OK))
span.end()
except Exception:
pass
def tool_usage(self, llm: Any, tool_name: str, attempts: int):
"""Records the usage of a tool by an agent."""
if self.ready:
try:
tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Tool Usage")
self._add_attribute(
span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
self._add_attribute(span, "tool_name", tool_name)
self._add_attribute(span, "attempts", attempts)
if llm:
self._add_attribute(
span, "llm", json.dumps(self._safe_llm_attributes(llm))
)
span.set_status(Status(StatusCode.OK))
span.end()
except Exception:
pass
def tool_usage_error(self, llm: Any):
"""Records the usage of a tool by an agent."""
if self.ready:
try:
tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Tool Usage Error")
self._add_attribute(
span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
if llm:
self._add_attribute(
span, "llm", json.dumps(self._safe_llm_attributes(llm))
)
span.set_status(Status(StatusCode.OK))
span.end()
except Exception:
pass
def individual_test_result_span(
self, crew: Crew, quality: float, exec_time: int, model_name: str
):
if self.ready:
try:
tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Crew Individual Test Result")
self._add_attribute(
span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
self._add_attribute(span, "crew_key", crew.key)
self._add_attribute(span, "crew_id", str(crew.id))
self._add_attribute(span, "quality", str(quality))
self._add_attribute(span, "exec_time", str(exec_time))
self._add_attribute(span, "model_name", model_name)
span.set_status(Status(StatusCode.OK))
span.end()
except Exception:
pass
def test_execution_span(
self,
crew: Crew,
iterations: int,
inputs: dict[str, Any] | None,
model_name: str,
):
if self.ready:
try:
tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Crew Test Execution")
self._add_attribute(
span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
self._add_attribute(span, "crew_key", crew.key)
self._add_attribute(span, "crew_id", str(crew.id))
self._add_attribute(span, "iterations", str(iterations))
self._add_attribute(span, "model_name", model_name)
if crew.share_crew:
self._add_attribute(
span, "inputs", json.dumps(inputs) if inputs else None
)
span.set_status(Status(StatusCode.OK))
span.end()
except Exception:
pass
def crew_execution_span(self, crew: Crew, inputs: dict[str, Any] | None):
"""Records the complete execution of a crew.
This is only collected if the user has opted-in to share the crew.
"""
self.crew_creation(crew, inputs)
if (self.ready) and (crew.share_crew):
try:
tracer = trace.get_tracer("crewai.telemetry")
span = tracer.start_span("Crew Execution")
self._add_attribute(
span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
self._add_attribute(span, "crew_key", crew.key)
self._add_attribute(span, "crew_id", str(crew.id))
self._add_attribute(
span, "crew_inputs", json.dumps(inputs) if inputs else None
)
self._add_attribute(
span,
"crew_agents",
json.dumps(
[
{
"key": agent.key,
"id": str(agent.id),
"role": agent.role,
"goal": agent.goal,
"backstory": agent.backstory,
"verbose?": agent.verbose,
"max_iter": agent.max_iter,
"max_rpm": agent.max_rpm,
"i18n": agent.i18n.prompt_file,
"llm": json.dumps(self._safe_llm_attributes(agent.llm)),
"delegation_enabled?": agent.allow_delegation,
"tools_names": [
tool.name.casefold() for tool in agent.tools or []
],
}
for agent in crew.agents
]
),
)
self._add_attribute(
span,
"crew_tasks",
json.dumps(
[
{
"id": str(task.id),
"description": task.description,
"expected_output": task.expected_output,
"async_execution?": task.async_execution,
"human_input?": task.human_input,
"agent_role": task.agent.role if task.agent else "None",
"agent_key": task.agent.key if task.agent else None,
"context": (
[task.description for task in task.context]
if task.context
else None
),
"tools_names": [
tool.name.casefold() for tool in task.tools or []
],
}
for task in crew.tasks
]
),
)
return span
except Exception:
pass
def end_crew(self, crew, final_string_output):
if (self.ready) and (crew.share_crew):
try:
self._add_attribute(
crew._execution_span,
"crewai_version",
pkg_resources.get_distribution("crewai").version,
)
self._add_attribute(
crew._execution_span, "crew_output", final_string_output
)
self._add_attribute(
crew._execution_span,
"crew_tasks_output",
json.dumps(
[
{
"id": str(task.id),
"description": task.description,
"output": task.output.raw_output,
}
for task in crew.tasks
]
),
)
crew._execution_span.set_status(Status(StatusCode.OK))
crew._execution_span.end()
except Exception:
pass
def _add_attribute(self, span, key, value):
"""Add an attribute to a span."""
try:
return span.set_attribute(key, value)
except Exception:
pass
def _safe_llm_attributes(self, llm):
attributes = ["name", "model_name", "base_url", "model", "top_k", "temperature"]
if llm:
safe_attributes = {k: v for k, v in vars(llm).items() if k in attributes}
safe_attributes["class"] = llm.__class__.__name__
return safe_attributes
return {}