TADA 11GB memory please

```
❯ make ai-review-gptme-ollama
Using Container Tool: docker
bash: /Users/tkaovila/oadp-operator-opencode/bin/operator-sdk: No such file or directory
bash: /Users/tkaovila/oadp-operator-opencode/bin/opm: No such file or directory
gptme is already installed at /Users/tkaovila/oadp-operator-opencode/bin/gptme
Ollama not detected, starting container...
c3a66f9c2d48dd76b73790657f8f35a17323767dc8be9272640e960af1ad2251
Waiting for Ollama to be ready...
Ollama is ready!
Ensuring gemma3:12b model is available...
pulling manifest
pulling e8ad13eff07a: 100% ▕██████████████████▏ 8.1 GB
pulling e0a42594d802: 100% ▕██████████████████▏  358 B
pulling dd084c7d92a3: 100% ▕██████████████████▏ 8.4 KB
pulling 3116c5225075: 100% ▕██████████████████▏   77 B
pulling 6819964c2bcf: 100% ▕██████████████████▏  490 B
verifying sha256 digest
writing manifest
success
Reviewing staged changes with gptme using Ollama model: gemma3:12b...
gptme will be able to read files and browse documentation for context.
[21:14:27] Browser tool available (using lynx)
[21:14:27] WARNING  Skipping all confirmation prompts.                                                                                                     cli.py:176
           Using model: local/gemma3:12b
           Using logdir ~/.local/share/gptme/logs/2025-07-01-sneaking-crazy-pelican
           Using workspace at ~/oadp-operator-opencode
Skipped 1 hidden system messages, show with --show-hidden
--- ^^^ past messages ^^^ ---
User:
Review this git diff for a project called OADP (OpenShift API for Data Protection) operator. Focus on: 1. Code quality and best practices 2. Potential bugs or issues
3. Go idioms and conventions 4. Kubernetes/OpenShift operator patterns 5. Security concerns Please provide actionable feedback. Be concise but thorough. If able,
browse linked URLs for context.

```stdin
diff --git a/Makefile b/Makefile
index 2da6e68..c5e7d35 100644
--- a/Makefile
+++ b/Makefile
@@ -704,7 +704,7 @@ endef
 # Default Ollama model (using a smaller model that requires less memory)
 OLLAMA_MODEL ?= gemma3:12b
 # will require at least this much free mem in your machine or podman machine (non-linux)
-OLLAMA_MEMORY ?= 9
+OLLAMA_MEMORY ?= 11

 # This target reviews staged changes using gptme with Ollama backend
 # Prerequisites:
```
Assistant:
Okay, I will review the provided `Makefile` diff for the OADP operator project, focusing on the requested areas.

`<thinking>` The diff is very small, only changing a variable `OLLAMA_MEMORY` from 9 to 11. This suggests a change related to resource requirements for the GPTME integration. I'm going to focus my review on the implications of this change and the surrounding context.`</thinking>

**Review of `Makefile` Diff**

*   **Code Quality & Best Practices:** The change itself is trivial and doesn't introduce any immediate code quality concerns. However, the variable name `OLLAMA_MEMORY` is not self-documenting. A comment explaining *why* the value was increased would be beneficial.
*   **Potential Bugs/Issues:** Increasing `OLLAMA_MEMORY` without understanding the root cause of the original value (9) could mask an underlying problem. It's possible the original value was artificially low due to a misconfiguration or resource constraint.  It's crucial to investigate *why* more memory is now needed.
*   **Go Idioms & Conventions:** Not applicable, as this is a Makefile, not Go code.
*   **Kubernetes/OpenShift Operator Patterns:** Not applicable.
*   **Security Concerns:**  The change itself doesn't introduce direct security concerns. However, if the increased memory allocation leads to resource exhaustion, it *could* create a denial-of-service vulnerability.  Monitoring resource usage after this change is important.

**Actionable Feedback:**

1.  **Add a comment:**  Add a comment to the `Makefile` explaining *why* `OLLAMA_MEMORY` was increased from 9 to 11.  For example:  `# Increased OLLAMA_MEMORY to 11 to resolve memory allocation issues with larger prompts.`
2.  **Investigate Root Cause:** Determine why the original value of 9 was insufficient.  Was it a genuine resource constraint, or a configuration issue?
3.  **Monitor Resource Usage:** After deploying with the new `OLLAMA_MEMORY` value, monitor the resource usage of the GPTME integration to ensure it's stable and doesn't lead to resource exhaustion.
Stopping and removing Ollama container...
ollama
ollama
```

Signed-off-by: Tiger Kaovilai <[email protected]>

Author: kaovilai

Makefile

@@ -704,7 +704,7 @@ endef
 # Default Ollama model (using a smaller model that requires less memory)
 OLLAMA_MODEL ?= gemma3:12b
 # will require at least this much free mem in your machine or podman machine (non-linux)
-OLLAMA_MEMORY ?= 9
+OLLAMA_MEMORY ?= 11
 
 # This target reviews staged changes using gptme with Ollama backend
 # Prerequisites: