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add command running warning#4

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michaelneale merged 2 commits intomainfrom
commands-doc
Aug 24, 2024
Merged

add command running warning#4
michaelneale merged 2 commits intomainfrom
commands-doc

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add tip about commands - seems worth a warning

add tip about commands - seems worth a warning
@michaelneale michaelneale changed the title Update README.md add command running warning Aug 24, 2024
@michaelneale michaelneale merged commit 6375186 into main Aug 24, 2024
@lamchau lamchau deleted the commands-doc branch October 24, 2024 11:46
ahau-square pushed a commit that referenced this pull request May 2, 2025
add command running warning
arul-cc added a commit to arul-cc/goose that referenced this pull request Nov 17, 2025
Removed adding stream messages to table in goose service
dianed-square referenced this pull request in dianed-square/goose Nov 27, 2025
Issue block#22 Root Cause: AI used diff format for table row removal, which
removed more lines than intended (retry and settings rows were removed
along with context row).

Comprehensive fix with multiple layers of protection:

1. Critical Rule #4: Explicit guidance on table updates
   - Use old_str/new_str (NOT diff format)
   - Include COMPLETE row to remove
   - Include 1-2 rows before/after for context
   - Verify exact match
   - Double-check not removing adjacent rows

2. Update Strategy Table: Clear mapping of change types to actions
   - Field removed row includes IMPORTANT note about str_replace

3. Streamlined structure:
   - More scannable with better organization
   - Cleaner task description
   - Verification section reminding to check for unintended changes
   - Guidelines emphasizing precision

This multi-layered approach provides:
- Explicit technique specification (tells AI exactly how)
- Repetition (same guidance in multiple places)
- Concrete examples (shows what 'surrounding rows' means)
- Verification (asks AI to double-check)

File paths remain correct (./output/validation-changes.md, etc.)
nkuhn-vmw pushed a commit to nkuhn-vmw/goose that referenced this pull request Feb 10, 2026
Implement a first-class provider for Tanzu AI Services, enabling
enterprise-managed LLM access through Cloud Foundry service bindings
with an OpenAI-compatible API.

- Add TanzuAIServicesProvider using OpenAiCompatibleProvider
- Support single-model and multi-model credential formats
- Support VCAP_SERVICES auto-detection for Cloud Foundry
- Implement config_url model discovery and capability filtering
- Register as Builtin provider in init.rs
- Add 14 unit tests and 10 integration tests (wiremock)
- Update providers.md documentation

Closes block#1, block#2, block#3, block#4, block#5, block#6, block#7, block#8, block#12, block#16

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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