phase-40: Gemini + Claude provider adapters
Phase 40 PRD (docs/CONTROL_PLANE_PRD.md:82-83) listed: - crates/aibridge/src/providers/gemini.rs - crates/aibridge/src/providers/claude.rs Neither existed. Landing both now, in gateway/src/v1/ (matches the existing ollama.rs + openrouter.rs sibling pattern — aibridge's providers/ is for the adapter *trait* abstractions, v1/ holds the concrete /v1/chat dispatchers that know the wire format). gemini.rs: - POST https://generativelanguage.googleapis.com/v1beta/models/ {model}:generateContent?key=<API_KEY> - Auth: query-string key (not bearer) - Maps messages → contents+parts (Gemini's wire shape), extracts from candidates[0].content.parts[0].text - 3 tests: key resolution, body serialization (camelCase generationConfig + maxOutputTokens), prefix-strip claude.rs: - POST https://api.anthropic.com/v1/messages - Auth: x-api-key header + anthropic-version: 2023-06-01 - Carries system prompt in top-level `system` field (not messages[]). Extracts from content[0].text where type=="text" - 4 tests: key resolution, body serialization with/without system field, prefix-strip v1/mod.rs: + V1State.gemini_key + claude_key Option<String> + resolve_provider() strips "gemini/" and "claude/" prefixes + /v1/chat dispatcher handles "gemini" + "claude"/"anthropic" + 2 new resolve_provider tests (prefix + strip per adapter) main.rs: + Construct both keys at startup via resolve_*_key() helpers. Missing keys log at debug (not warn) since these are optional providers — unlike OpenRouter which is the rescue rung. Every /v1/chat error path mirrors the existing pattern: - 503 SERVICE_UNAVAILABLE when key isn't configured - 502 BAD_GATEWAY with the provider's error text when the upstream call fails - Response shape always the OpenAI-compatible ChatResponse Workspace warnings still at 0. 9 new tests pass. Pre-existing test failure `executor_prompt_includes_surfaced_ candidates` at execution_loop/mod.rs:1550 is unrelated (fails on pristine HEAD too — PR fixture divergence). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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//! Gemini adapter — Google's Generative Language API.
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//!
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//! POST `https://generativelanguage.googleapis.com/v1beta/models/
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//! {model}:generateContent?key=<API_KEY>`. Auth via query-string key
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//! (not bearer). Payload shape is NOT OpenAI-compatible — we map
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//! messages → contents + parts, extract response from `candidates[0]
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//! .content.parts[0].text`. Phase 40 deliverable; gate: `/v1/chat`
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//! with a prefixed or explicit gemini model returns normally.
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use std::time::Duration;
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use serde::{Deserialize, Serialize};
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use super::{ChatRequest, ChatResponse, Choice, Message, UsageBlock};
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const GEMINI_BASE_URL: &str = "https://generativelanguage.googleapis.com/v1beta";
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const GEMINI_TIMEOUT_SECS: u64 = 180;
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pub fn resolve_gemini_key() -> Option<String> {
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if let Ok(k) = std::env::var("GEMINI_API_KEY") {
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if !k.trim().is_empty() { return Some(k.trim().to_string()); }
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}
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for path in ["/home/profit/.env", "/root/.env"] {
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if let Ok(raw) = std::fs::read_to_string(path) {
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for line in raw.lines() {
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if let Some(rest) = line.strip_prefix("GEMINI_API_KEY=") {
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let k = rest.trim().trim_matches('"').trim_matches('\'');
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if !k.is_empty() { return Some(k.to_string()); }
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}
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}
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}
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}
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None
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}
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pub async fn chat(
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key: &str,
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req: &ChatRequest,
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) -> Result<ChatResponse, String> {
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// Strip the "gemini/" prefix if the caller used the namespaced form.
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let model = req.model.strip_prefix("gemini/").unwrap_or(&req.model).to_string();
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// Gemini splits system prompt from conversation differently.
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// Simplest working mapping: concatenate any system messages at the
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// top of a single user turn, then append user/assistant turns as
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// separate contents entries. Covers the common single-turn case
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// the scrum pipeline uses.
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let mut contents: Vec<GmContent> = Vec::new();
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for m in &req.messages {
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let role = match m.role.as_str() {
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"system" | "user" => "user",
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_ => "model",
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};
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contents.push(GmContent {
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role: role.to_string(),
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parts: vec![GmPart { text: m.content.clone() }],
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});
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}
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let body = GmChatBody {
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contents,
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generation_config: GmGenerationConfig {
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temperature: req.temperature.unwrap_or(0.3),
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max_output_tokens: req.max_tokens.unwrap_or(800),
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},
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};
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let client = reqwest::Client::builder()
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.timeout(Duration::from_secs(GEMINI_TIMEOUT_SECS))
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.build()
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.map_err(|e| format!("build client: {e}"))?;
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let url = format!("{}/models/{}:generateContent?key={}", GEMINI_BASE_URL, model, key);
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let t0 = std::time::Instant::now();
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let resp = client
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.post(&url)
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.json(&body)
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.send()
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.await
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.map_err(|e| format!("generativelanguage.googleapis.com unreachable: {e}"))?;
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let status = resp.status();
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if !status.is_success() {
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let body = resp.text().await.unwrap_or_else(|_| "?".into());
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return Err(format!("gemini {}: {}", status, body));
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}
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let parsed: GmChatResponse = resp.json().await
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.map_err(|e| format!("invalid gemini response: {e}"))?;
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let latency_ms = t0.elapsed().as_millis();
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let candidate = parsed.candidates.into_iter().next()
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.ok_or_else(|| "gemini returned no candidates".to_string())?;
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let text = candidate.content.parts.into_iter()
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.next()
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.map(|p| p.text)
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.unwrap_or_default();
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let prompt_tokens = parsed.usage_metadata.as_ref()
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.map(|u| u.prompt_token_count)
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.unwrap_or_else(|| {
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let chars: usize = req.messages.iter().map(|m| m.content.chars().count()).sum();
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((chars + 3) / 4) as u32
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});
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let completion_tokens = parsed.usage_metadata.as_ref()
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.map(|u| u.candidates_token_count)
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.unwrap_or_else(|| ((text.chars().count() + 3) / 4) as u32);
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tracing::info!(
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target: "v1.chat",
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provider = "gemini",
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model = %model,
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prompt_tokens,
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completion_tokens,
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latency_ms = latency_ms as u64,
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"gemini chat completed",
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);
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Ok(ChatResponse {
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id: format!("chatcmpl-{}", chrono::Utc::now().timestamp_nanos_opt().unwrap_or(0)),
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object: "chat.completion",
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created: chrono::Utc::now().timestamp(),
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model,
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choices: vec![Choice {
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index: 0,
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message: Message { role: "assistant".into(), content: text },
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finish_reason: candidate.finish_reason.unwrap_or_else(|| "stop".into()),
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}],
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usage: UsageBlock {
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prompt_tokens,
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completion_tokens,
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total_tokens: prompt_tokens + completion_tokens,
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},
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})
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}
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// -- Gemini wire shapes --
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#[derive(Serialize)]
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struct GmChatBody {
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contents: Vec<GmContent>,
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#[serde(rename = "generationConfig")]
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generation_config: GmGenerationConfig,
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}
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#[derive(Serialize)]
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struct GmContent {
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role: String,
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parts: Vec<GmPart>,
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}
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#[derive(Serialize)]
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struct GmPart { text: String }
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#[derive(Serialize)]
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#[serde(rename_all = "camelCase")]
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struct GmGenerationConfig {
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temperature: f64,
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max_output_tokens: u32,
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}
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#[derive(Deserialize)]
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struct GmChatResponse {
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candidates: Vec<GmCandidate>,
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#[serde(default, rename = "usageMetadata")]
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usage_metadata: Option<GmUsage>,
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}
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#[derive(Deserialize)]
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struct GmCandidate {
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content: GmContentResp,
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#[serde(default, rename = "finishReason")]
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finish_reason: Option<String>,
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}
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#[derive(Deserialize)]
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struct GmContentResp { parts: Vec<GmPartResp> }
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#[derive(Deserialize)]
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struct GmPartResp { #[serde(default)] text: String }
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#[derive(Deserialize)]
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#[serde(rename_all = "camelCase")]
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struct GmUsage {
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prompt_token_count: u32,
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candidates_token_count: u32,
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn resolve_gemini_key_does_not_panic() {
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let _ = resolve_gemini_key();
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}
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#[test]
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fn chat_body_serializes_to_gemini_shape() {
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let body = GmChatBody {
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contents: vec![
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GmContent {
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role: "user".into(),
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parts: vec![GmPart { text: "hello".into() }],
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},
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],
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generation_config: GmGenerationConfig {
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temperature: 0.3,
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max_output_tokens: 800,
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},
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};
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let json = serde_json::to_string(&body).unwrap();
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assert!(json.contains("\"contents\""));
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assert!(json.contains("\"parts\""));
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// camelCase per Gemini API
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assert!(json.contains("\"generationConfig\""));
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assert!(json.contains("\"maxOutputTokens\":800"));
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}
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#[test]
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fn model_prefix_strip_preserves_bare_names() {
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let cases = [
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("gemini/gemini-2.0-flash", "gemini-2.0-flash"),
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("gemini-2.0-flash", "gemini-2.0-flash"),
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];
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for (input, expected) in cases {
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let out = input.strip_prefix("gemini/").unwrap_or(input);
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assert_eq!(out, expected);
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}
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}
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}
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