GitHub Advisoryadvisory · PyPI
GHSA-3gh4-cghq-f8v4 Pydantic AI OpenTelemetry instrumentation: retry prompt content is not redacted when `include_content=False`
LOW
Official page ↗
- Aliases
- CVE-2026-107293
- Ecosystem
- PyPI
- Packages
- pydantic-ai, pydantic-ai-slim
- Severity
- Low
- CVSS vector
- CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N
- Weaknesses
- CWE-212, CWE-532
- Reviewed
- 2026-10-08
Affected packages
• PyPI pydantic-ai: >= 0.3.4, < 1.107.4 → fixed in 1.107.4
• PyPI pydantic-ai: >= 2.0.0b1, < 2.27.1 → fixed in 2.27.1
• PyPI pydantic-ai-slim: >= 0.3.4, < 1.107.4 → fixed in 1.107.4
• PyPI pydantic-ai-slim: >= 2.0.0b1, < 2.27.1 → fixed in 2.27.1
Description
Summary
Pydantic AI's OpenTelemetry instrumentation supports `InstrumentationSettings(include_content=False)` to exclude message content — user prompts, model completions, tool call arguments and responses — from exported telemetry, so that agents can be monitored without sending sensitive content to the observability backend.
Retry prompts — the feedback messages Pydantic AI sends back to the model when its output fails validation or an output validator raises `ModelRetry` — were not covered by this setting when they were not associated with a tool call, as with structured output modes that don't use tool calls (e.g. `NativeOutput` or `PromptedOutput`) and output validators applied to text output. Their full content was recorded on model request spans even with `include_content=False`. Since validation feedback can quote invalid values from the model's response, message content that the setting was configured to withhold could reach the telemetry backend.
Details
Retry prompts without an associated tool call were serialized into span message attributes (such as `gen_ai.input.messages` and `pydantic_ai.all_messages`) as regular text parts, and this path did not apply the `include_content` check that every other message part applies. Retry prompts tied to a tool call, and all other message content, were redacted correctly.
Impact
This does not grant an attacker any new access to the agent or its data: the content is only visible to whoever can read the exported telemetry. The exposure matters when traces are exported to a destination whose audience is broader or less trusted than the agent's own data — a third-party observability vendor or a shared backend — which is the scenario `include_content=False` exists for. The disclosed content is limited to retry feedback: validation error details, which can quote invalid values from the model's output, or output-validator `ModelRetry` messages.
Who Is Affected
You are affected if you enabled instrumentation with `include_content=False` and your agent can produce retry prompts outside of tool calls: it uses a structured output mode that doesn't rely on tool calls (such as `NativeOutput` or `PromptedOutput`), or output validators on text output. You are not affected if you don't set `include_content=False`, or if all of your agent's retries come from tool calls (including the default tool-based structured output mode), which were redacted correctly.
Remediation
Upgrade to a patched version; retry prompt content now honors `include_content=False` like all other message content. If you rely on this setting, consider reviewing previously exported traces for retry prompt content that should not have been recorded.
Workaround for Unpatched Versions
If you cannot upgrade, scrub or drop the message attributes (`gen_ai.input.messages`, `gen_ai.output.messages`, `pydantic_ai.all_messages`) in your telemetry pipeline (for example with an OpenTelemetry Collector processor), or use tool-based structured output modes, whose retry feedback honors `include_content=False`.
Credits
Reported privately by the University of Sydney Security Research Team (Liyi Zhou, Ziyue Wang, Strick, Maurice, Chenchen Yu), and later independently discovered and reported publicly, with a fix, by @sean-kim05.
Related
Alias · CVE (1)
- CVE-2026-107293 Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. vulnerability
References
- https://github.com/pydantic/pydantic-ai/security/advisories/GHSA-3gh4-cghq-f8v4 web
- https://github.com/pydantic/pydantic-ai/pull/7357 web
- https://github.com/pydantic/pydantic-ai/commit/fe9dbed7b7ccf7e7128b5786886e4441f6f5594f web
- https://github.com/pydantic/pydantic-ai package
- https://github.com/pydantic/pydantic-ai/releases/tag/v2.27.1 web