mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-08-13 01:38:41 +00:00
77a929ecf5
* feat(tracing): record when a trace batch is shared with amp A trace batch is sent to AMP on every traced run, but nothing on the OSS side recorded that it happened, so a project's first touch with AMP was invisible in telemetry. Emit a Feature Usage span on successful finalization: tracing:ephemeral_sent before the user has an account, tracing:authenticated_sent after. Emitted on finalize rather than init because a batch that initializes and then fails to send never lands in AMP. Reading is_ephemeral from batch state at finalize also means a run that starts authenticated and falls back to ephemeral on a 401 reports ephemeral, which is what happened. Rides the existing Feature Usage span, so no new pipeline is needed to read it, and it carries project_id and coding_agent for free through the common attributes processor. Records only that a batch arrived - never trace contents, crew or flow names, inputs, or outputs. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01ASfWmW3RGy4qAQm6s8U9jH * docs(telemetry): disclose the attributes the trace signal carries The new row said only that a batch arrived was recorded, which reads as excluding the common attributes every span carries. project_id and the coding assistant are disclosed in the Execution Environment row, but "only" actively contradicted that. Name them here too. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01ASfWmW3RGy4qAQm6s8U9jH --------- Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
86 lines
8.2 KiB
Plaintext
86 lines
8.2 KiB
Plaintext
---
|
|
title: Telemetry
|
|
description: Understanding the telemetry data collected by CrewAI and how it contributes to the enhancement of the library.
|
|
icon: signal-stream
|
|
mode: "wide"
|
|
---
|
|
|
|
## Telemetry
|
|
|
|
<Note>
|
|
By default, we collect no data that would be considered personal information under GDPR and other privacy regulations.
|
|
We do collect Tool's names and Agent's roles, so be advised not to include any personal information in the tool's names or the Agent's roles.
|
|
Because no personal information is collected, it's not necessary to worry about data residency.
|
|
When `share_crew` is enabled, additional data is collected which may contain personal information if included by the user.
|
|
Users should exercise caution when enabling this feature to ensure compliance with privacy regulations.
|
|
</Note>
|
|
|
|
CrewAI utilizes anonymous telemetry to gather usage statistics with the primary goal of enhancing the library.
|
|
Our focus is on improving and developing the features, integrations, and tools most utilized by our users.
|
|
|
|
It's pivotal to understand that by default, **NO personal data is collected** concerning prompts, task descriptions, agents' backstories or goals,
|
|
usage of tools, API calls, responses, any data processed by the agents, or secrets and environment variables.
|
|
When the `share_crew` feature is enabled, detailed data including task descriptions, agents' backstories or goals, and other specific attributes are collected
|
|
to provide deeper insights. This expanded data collection may include personal information if users have incorporated it into their crews or tasks.
|
|
Users should carefully consider the content of their crews and tasks before enabling `share_crew`.
|
|
Users can disable telemetry by setting the environment variable `CREWAI_DISABLE_TELEMETRY` to `true` or by setting `OTEL_SDK_DISABLED` to `true` (note that the latter disables all OpenTelemetry instrumentation globally).
|
|
|
|
### Examples:
|
|
```python
|
|
# Disable CrewAI telemetry only
|
|
os.environ['CREWAI_DISABLE_TELEMETRY'] = 'true'
|
|
|
|
# Disable all OpenTelemetry (including CrewAI)
|
|
os.environ['OTEL_SDK_DISABLED'] = 'true'
|
|
```
|
|
|
|
### Isolation from your own OpenTelemetry setup
|
|
|
|
CrewAI's telemetry runs on its own private `TracerProvider` and never registers
|
|
itself as the global one. This keeps the two directions separate:
|
|
|
|
- Spans from other instrumented libraries in your process — web frameworks,
|
|
database clients, HTTP clients — are never sent to CrewAI.
|
|
- CrewAI's telemetry spans are never sent to your observability backend, so they
|
|
will not appear in Langfuse, Braintrust, Phoenix, or any other collector you
|
|
configure.
|
|
|
|
Observability integrations are unaffected: they instrument CrewAI through their
|
|
own tracer provider, which is independent of the one described here.
|
|
|
|
### Data Explanation:
|
|
| Defaulted | Data | Reason and Specifics |
|
|
|:----------|:------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------|
|
|
| Yes | CrewAI and Python Version | Tracks software versions. Example: CrewAI v1.2.3, Python 3.8.10. No personal data. |
|
|
| Yes | Crew Metadata | Includes: randomly generated key and ID, process type (e.g., 'sequential', 'parallel'), boolean flag for memory usage (true/false), count of tasks, count of agents. All non-personal. |
|
|
| Yes | Agent Data | Includes: randomly generated key and ID, role name (should not include personal info), boolean settings (verbose, delegation enabled, code execution allowed), max iterations, max RPM, max retry limit, LLM info (see LLM Attributes), list of tool names (should not include personal info). No personal data. |
|
|
| Yes | Task Metadata | Includes: randomly generated key and ID, boolean execution settings (async_execution, human_input), associated agent's role and key, list of tool names. All non-personal. |
|
|
| Yes | Tool Usage Statistics | Includes: tool name (should not include personal info), number of usage attempts (integer), LLM attributes used. No personal data. |
|
|
| Yes | Test Execution Data | Includes: crew's randomly generated key and ID, number of iterations, model name used, quality score (float), execution time (in seconds). All non-personal. |
|
|
| Yes | Task Lifecycle Data | Includes: creation and execution start/end times, crew and task identifiers. Stored as spans with timestamps. No personal data. |
|
|
| Yes | LLM Attributes | Includes: name, model_name, model, top_k, temperature, and class name of the LLM. All technical, non-personal data. |
|
|
| Yes | Crew Deployment attempt using crewAI CLI | Includes: The fact a deploy is being made and crew id, whether it's trying to pull logs, and whether the deploy was started from a CLI command or from the run TUI. No project or crew contents. No personal data. |
|
|
| Yes | Execution Environment | Includes: which AI coding assistant is running the process, if any (one of a fixed list such as `claude_code`, `codex`, `cursor`, or `unknown`), where the process runs (one of a fixed list such as `ci`, `container`, `serverless`, `interactive`), and the `project_id` from your `pyproject.toml` when one is configured. Detection reads only whether known environment variables are set, never their values. No personal data. |
|
|
| Yes | Flow Lifecycle Signals | Includes: that a flow started, whether it completed or failed, whether one of its methods failed, whether it paused for human input or feedback, whether the start was a resumed run, whether a conversation turn failed, how long the flow ran, and whether the flow is one CrewAI runs internally or one you wrote. The flow name is recorded (should not include personal info), as it already is for flow creation and execution. Method names, error messages and flow state are never recorded. No personal data. |
|
|
| Yes | Trace Sharing Signal | Includes: that a batch of traces was successfully shared with CrewAI AMP, and whether it was shared anonymously (before you have an account) or linked to your account. Like every span, it also carries the Execution Environment attributes described above (`project_id` when configured, the coding assistant, and the runtime). This row describes sharing telemetry only — not the trace contents or access granted by shared trace links. Trace contents, inputs, and outputs are never recorded on this signal. Before sharing traces, review secrets, personal data, and AMP redaction and retention settings. |
|
|
| No | Agent's Expanded Data | Includes: goal description, backstory text, i18n prompt file identifier. Users should ensure no personal info is included in text fields. |
|
|
| No | Detailed Task Information | Includes: task description, expected output description, context references. Users should ensure no personal info is included in these fields. |
|
|
| No | Environment Information | Includes: platform, release, system, version, and CPU count. Example: 'Windows 10', 'x86_64'. No personal data. |
|
|
| No | Crew and Task Inputs and Outputs | Includes: input parameters and output results as non-identifiable data. Users should ensure no personal info is included. |
|
|
| No | Comprehensive Crew Execution Data | Includes: detailed logs of crew operations, all agents and tasks data, final output. All non-personal and technical in nature. |
|
|
|
|
<Note>
|
|
"No" in the "Defaulted" column indicates that this data is only collected when `share_crew` is set to `true`.
|
|
</Note>
|
|
|
|
### Opt-In Further Telemetry Sharing
|
|
|
|
Users can choose to share their complete telemetry data by enabling the `share_crew` attribute to `True` in their crew configurations.
|
|
Enabling `share_crew` results in the collection of detailed crew and task execution data, including `goal`, `backstory`, `context`, and `output` of tasks.
|
|
This enables a deeper insight into usage patterns.
|
|
|
|
<Warning>
|
|
If you enable `share_crew`, the collected data may include personal information if it has been incorporated into crew configurations, task descriptions, or outputs.
|
|
Users should carefully review their data and ensure compliance with GDPR and other applicable privacy regulations before enabling this feature.
|
|
</Warning>
|