anthropics / anthropics/claude-code
[Bug] Anthropic API Error: Message Flagged by Safety Filter (reasoning_extraction)
- Dominant language
- Python
- Stars
- 145k
- Forks
- 23.1k
- PR merge metrics
- PR metrics pending
Description
**Bug Description**
this prompt is flagged and i dont know why ❯ · What's the right scope for a first working version of the service-request/billable-items module? → i think we needed a single point /application of service request that each departemtn will confgure their service requests by tieing items from the inventory as billable itmes under the service request and some items tied to the service request configured might even be a service , so lets deliberate on this in an example of lab service requests there will be lab tests and the lab tests will have billable items used during the proceedure from inveotry such that when finalized they are deducted from invetiry autmatically similary any other department the same and services prizing if necesary , deliberate and get back , push back if necesary even theatre could levelrage this too
· Which billable component types should count toward a service request's total? → the service request wont endulge in departmental specifc items or technicalities its role its just to know the service done generic name say in thetre could be a c-cerian and all billable items used there including the feees for docotr service and so on , say in radiology could be like a leg scan which cost less than full body scna so different service request and pricing , in lab the lab Tests components dont need to be in service request they are only relalted to the lab tests the lab tests in this case are the service request and they are linked to billable items used frm inveotyr ,i need you to tell me you have understood my goal to make this as much genenric as possible
Listed 1 directory
❯ What's the right scope for a first working version of the service-request/billable-items module?
I would like to build a centralized, generic service request application. Each department will configure their own service requests by linking inventory items as "billable items" under a generic service request parent. Some of these linked items might be services themselves. For example, a lab service request will involve lab tests, and these tests will consume billable items from inventory. When the request is finalized, these items should be automatically deducted from inventory. This same logic should apply to all departments, including the operating theatre, and handle service pricing. Please review this approach and provide feedback.
Which billable component types should count toward a service request's total?
The core service request module should remain generic and avoid department-specific technicalities. Its role is simply to record the generic service performed.
Operating Theatre: The service request would simply be "Cesarean Section," and all billable items used during the procedure (including doctor fees) count toward the total.
Radiology: A "Leg Scan" would be a distinct service request with different pricing than a "Full Body Scan."
Laboratory: The individual test components do not need to be individual service requests; the "Lab Test" itself is the service request, which is then linked to the specific inventory items used.
Please confirm you understand this goal to keep the architecture as generic as possible.
● API Error: Fable 5.1's safeguards flagged this message (https://www.anthropic.com/legal/aup). This sometimes happens with safe, normal conversations. Claude Code can't respond to this message with Fable 5.1.
Double press esc to edit your last message, or try a different model with /model.
Send feedback with /feedback or learn more: https://support.claude.com/en/articles/15363606
Details: `[reasoning_extraction]`
Request ID: req_011CfBMdNU5D7imGbXKMRz4M
**Environment Info**
- Platform: win32
- Terminal: mintty
- Version: 2.1.276
- Feedback ID: 44aa84e1-0db3-497a-9cc2-27dd94d03147
**Errors**
```json
[]
```
Contributor guide
No contributing guide indexed for this repository
Research direction
No source file or test is named. Start by reproducing the exact prompt in Claude Code 2.1.276 on win32 with mintty and inspect the reasoning_extraction API error; use the request and feedback IDs when tracing the failure. Done means establishing whether Claude Code mishandles a safe prompt or the upstream safety filter rejects it, with a reproducible finding.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, cli
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100