quality-debt: .agents/tools/ai-assistants/models/flash.md — PR #758 review feedback (critical)

[marcusquinn]

Unactioned Review Feedback

Source PR: #758
File: .agents/tools/ai-assistants/models/flash.md
Reviewers: coderabbit
Findings: 2
Max severity: critical

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CRITICAL: coderabbit (coderabbitai[bot])

File: .agents/tools/ai-assistants/models/flash.md:46
⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

🏁 Script executed:

# Check the actual file content
cat -n .agents/tools/ai-assistants/models/flash.md

Repository: marcusquinn/aidevops

Length of output: 1605

---

🏁 Script executed:

# List other model files to understand naming patterns
find .agents/tools/ai-assistants/models -type f -name "*.md" | head -20

Repository: marcusquinn/aidevops

Length of output: 431

---

🏁 Script executed:

# Search for model identifier patterns across existing agent instructions
rg "model:" .agents/ -A 2 | head -50

Repository: marcusquinn/aidevops

Length of output: 3192

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🌐 Web query:

What is the current official model identifier and pricing for Google Gemini 2.5 Flash (preview-05-20) as of February 2026? Include context window size and cost per 1M tokens.

💡 Result:

As of February 2026, gemini-2.5-flash-preview-05-20 is no longer an active official endpoint on Vertex AI: Google’s Vertex AI release notes say the 2.5 Flash preview endpoints (including gemini-2.5-flash-preview-05-20) were shut down after July 15, 2025. [1]

What to use instead (official, current as of Feb 2026)

Official GA model identifier: gemini-2.5-flash (Gemini API / Vertex AI) [2][3]
Context window: 1,000,000 tokens (1M) [2]

Official pricing (USD) — per 1M tokens

(These are the published Gemini 2.5 Flash prices; the preview-05-20 endpoint itself is retired.)

• Input (text/image/video): $0.30 / 1M tokens [2][3]
• Output (includes thinking tokens): $2.50 / 1M tokens [2][3]
• Audio input (if used): $1.00 / 1M tokens [2][3]
• Context caching (text/image/video): $0.03 / 1M tokens (plus storage pricing) [2]

Sources: Vertex AI release notes (preview shutdown) [1], Gemini API pricing page [2], Vertex AI generative AI pricing page [3].

---

🏁 Script executed:

# Check the fallback model and other model configs for consistency
grep -r "model-fallback" .agents/tools/ai-assistants/models/

Repository: marcusquinn/aidevops

Length of output: 668

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🏁 Script executed:

# Look at other model files to understand the pattern
cat -n .agents/tools/ai-assistants/models/sonnet.md | head -20

Repository: marcusquinn/aidevops

Length of output: 670

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🌐 Web query:

What is the current status of OpenAI gpt-4.1-mini model as of February 2026? Is it still available or has it been deprecated/renamed?

💡 Result:

As of February 9, 2026, GPT-4.1 mini is still available in ChatGPT, but it is scheduled to be retired from ChatGPT on February 13, 2026. OpenAI says there are no API changes at this time, meaning gpt-4.1-mini remains available via the OpenAI API and has not been renamed (no replacement name announced—just a ChatGPT availability change). [1], [2], [3]

So: not deprecated/renamed in the API; being retired specifically in ChatGPT on Feb 13, 2026. [1], [2]

Sources: [1] https://help.openai.com/articles/20001051, [2] https://openai.com/index/retiring-gpt-4o-and-older-models/, [3] https://help.openai.com/en/articles/9624314-model-release-notes

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Update primary model to active endpoint and fix pricing table immediately.

The frontmatter uses google/gemini-2.5-flash-preview-05-20, which was retired on July 15, 2025 and is no longer available. Update to the current GA identifier google/gemini-2.5-flash.

The pricing table is significantly incorrect:

• Listed: Input $0.15/1M, Output $0.60/1M
• Correct (Feb 2026): Input $0.30/1M, Output $2.50/1M

Context window of 1M tokens is correct. Also review model-fallback: openai/gpt-4.1-mini as it's being phased out (ChatGPT retirement Feb 13, 2026); consider using openai/gpt-4o for consistency with other model configs.

🧰 Tools

🪛 LanguageTool

[grammar] ~32-~32: Ensure spelling is correct
Context: ...ormatting ## Constraints - Prioritize throughness of coverage over depth of analysis - Fo...

(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)

🤖 Prompt for AI Agents

In @.agents/tools/ai-assistants/models/flash.md around lines 4 - 46, Update the
frontmatter model identifier from "google/gemini-2.5-flash-preview-05-20" to the
GA name "google/gemini-2.5-flash", correct the pricing values in the "Model
Details" section to Input $0.30/1M and Output $2.50/1M, keep the context value
at 1M tokens, and review/replace the "model-fallback: openai/gpt-4.1-mini" entry
(consider "openai/gpt-4o") to avoid using the retired fallback; ensure you
update both the frontmatter keys (model, model-fallback) and the pricing table
entries to match these changes.

View comment

HIGH: coderabbit (coderabbitai[bot])

File: .agents/tools/ai-assistants/models/flash.md:32
⚠️ Potential issue | 🟡 Minor

Fix typo in constraint (throughness → thoroughness).

Minor doc quality issue.

✏️ Proposed fix

-- Prioritize throughness of coverage over depth of analysis
+- Prioritize thoroughness of coverage over depth of analysis

📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

- Prioritize thoroughness of coverage over depth of analysis

🧰 Tools

🪛 LanguageTool

[grammar] ~32-~32: Ensure spelling is correct
Context: ...ormatting ## Constraints - Prioritize throughness of coverage over depth of analysis - Fo...

(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)

🤖 Prompt for AI Agents

In @.agents/tools/ai-assistants/models/flash.md at line 32, Fix the typo in the
constraint phrase by replacing "throughness" with "thoroughness" in the markdown
line that currently reads "Prioritize throughness of coverage over depth of
analysis" inside .agents/tools/ai-assistants/models/flash.md so the sentence
becomes "Prioritize thoroughness of coverage over depth of analysis".

View comment

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Auto-generated by quality-feedback-helper.sh scan-merged. Review each finding and either fix the code or dismiss with a reason.

[marcusquinn]

Recovering from stale status:queued — no active worker found and no open PR. Relabelling to status:available for re-dispatch.