القائمة
Use when selecting a Gemini model, checking rate limits or quotas, configuring the gemini-rust crate, or debugging model name mismatches.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Create new Kiro skills (Agent Skills). Use when asked to create a skill, write a SKILL.md, add a new workflow to .kiro/skills/, or package agent instructions as a reusable skill.
Use when creating a release, bumping the version, tagging a commit, or working with the GitHub Actions release workflow for rs-summarizer.
Use when editing or creating Askama HTML templates, adding template variables, fixing compile-time template errors, or working with HTMX attributes in templates.
Use when working with tokio::spawn background tasks, the summarization pipeline, task state transitions, or the mark_error/mark_summary_done pattern.
Use when building, running, linting with clippy, formatting with rustfmt, or running cargo commands for the rs-summarizer project.
Use when updating Cargo dependencies, checking for new crate versions, evaluating semver bumps, or deciding whether to upgrade a specific crate.
| name | gemini-api-models |
| description | Use when selecting a Gemini model, checking rate limits or quotas, configuring the gemini-rust crate, or debugging model name mismatches. |
rs-summarizer uses the gemini-rust crate to interact with Google's Gemini API for text generation and embeddings. Model names must exactly match the API identifiers.
Models are referenced via Model::Custom(format!("models/{}", name)). The name field in ModelOption is the part after models/.
let gemini_model = Model::Custom(format!("models/{}", model.name));
let client = Gemini::with_model(&self.api_key, gemini_model)?;
| Config Name | API ID | RPM | RPD | Notes |
|---|---|---|---|---|
gemini-3.5-flash | models/gemini-3.5-flash | 5 | 20 | Default selection |
gemma-4-31b-it | models/gemma-4-31b-it | 15 | 1500 | Free, no system prompt |
gemma-4-26b-a4b-it | models/gemma-4-26b-a4b-it | 15 | 1500 | Free, no system prompt |
gemini-3.1-flash-lite | models/gemini-3.1-flash-lite | 15 | 500 | Stable version, high quota |
gemini-2.5-flash | models/gemini-2.5-flash | 5 | 20 | Solid all-rounder |
gemini-2.5-flash-lite | models/gemini-2.5-flash-lite | 10 | 20 | Lightweight |
gemini-3-flash-preview | models/gemini-3-flash-preview | 5 | 20 | Preview version |
| Config Name | API ID | RPM | RPD |
|---|---|---|---|
gemini-embedding-001 | models/gemini-embedding-001 | 100 | 1000 |
Important: Do NOT use Model::TextEmbedding004 — that maps to models/text-embedding-004 which doesn't exist. Use Model::Custom instead.
Gemini models support system prompts via .with_system_prompt().
Gemma models do NOT support system prompts ("Developer instruction is not enabled"). The code conditionally skips the system prompt:
let mut builder = client.generate_content();
if !model.name.starts_with("gemma") {
builder = builder.with_system_prompt("...");
}
let mut stream = builder.with_user_message(&prompt).execute_stream().await?;
Text generation uses .execute_stream() which returns an async stream of chunks. Each chunk may contain:
response.text() — the generated text fragmentresponse.usage_metadata — token counts (typically only in the last chunk)fn is_rate_limit_error(err_str: &str) -> bool {
err_str.contains("ResourceExhausted")
|| err_str.contains("429")
|| err_str.contains("RESOURCE_EXHAUSTED")
}
To discover correct model IDs:
curl -s "https://generativelanguage.googleapis.com/v1beta/models?key=$GEMINI_API_KEY" | \
python3 -c "import sys,json; [print(m['name']) for m in json.load(sys.stdin)['models'] if 'generateContent' in m.get('supportedGenerationMethods',[])]"
src/services/summary.rs — Text generation with streamingsrc/services/embedding.rs — Embedding computationsrc/main.rs — Model option configurationsrc/state.rs — ModelOption struct definition