#!/usr/bin/env bash
set -euo pipefail
model="${COMMITX_MODEL:-gpt-4-1106-preview}"
temperature="${COMMITX_TEMPERATURE:-0.3}"
OPENAI_API_KEY="${OPENAI_API_KEY:? OPENAI_API_KEY not set}"
diff=$(git --no-pager diff --color=never)
prompt="Generate a Git commit message in the Conventional Commits format, with the following structure:
<type>(<scope1,scope2,...>): short summary
- detail 1
- detail 2
- ...
Use multiple scopes if the diff includes changes in multiple areas.
Use markdown-style bullet points for details.
Do not include explanations or code.
Base it on the following diff:
$diff"
declare payload
payload=$(jq -n \
--arg model "$model" \
--arg temp "$temperature" \
--arg prompt "$prompt" \
'{
model: $model,
temperature: ($temp | tonumber),
messages: [
{ role: "system", content: "You are an assistant that writes Git commit messages." },
{ role: "user", content: $prompt }
]
}')
curl -s https://api.openai.com/v1/chat/completions \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d "$payload" |
jq -r '.choices[0].message.content'
# vim:tabstop=2:softtabstop=2:shiftwidth=2:expandtab:filetype=sh
using chatgpt to review git diff
#!/usr/bin/env bash
set -euo pipefail
MODEL="${COMMITX_MODEL:-gpt-4-turbo}"
TEMPERATURE="${COMMITX_TEMPERATURE:-0.3}"
OPENAI_API_KEY="${OPENAI_API_KEY:? OPENAI_API_KEY not set}"
diff=$(git --no-pager diff --color=never)
prompt="You are a Principal Software Architect reviewing a Git diff.
You may not have the full code context, but please still provide a professional code review.
Focus on:
- What the changes are doing
- Code quality, style, naming, structure
- Potential bugs or anti-patterns
- Suggestions for improvement
Use markdown. Be helpful, concise, and insightful.
--- START DIFF ---
${diff}
--- END DIFF ---"
curl -s https://api.openai.com/v1/chat/completions \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "Content-Type: application/json" \
-d "$(jq -n \
--arg model "$MODEL" \
--arg temp "$TEMPERATURE" \
--arg prompt "$prompt" \
' {
model: $model,
temperature: ($temp | tonumber),
messages: [
{ role: "system", content: "You are a senior engineer performing code review." },
{ role: "user", content: $prompt }
]
}')" |
jq -r '.choices[0].message.content'
# vim:tabstop=2:softtabstop=2:shiftwidth=2:expandtab:filetype=sh