318 lines
10 KiB
Rust
318 lines
10 KiB
Rust
use anyhow::Result;
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use async_trait::async_trait;
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use serde_json::json;
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use std::path::PathBuf;
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use std::process::Stdio;
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use tokio::io::{AsyncBufReadExt, BufReader};
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use tokio::process::Command;
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use super::base::{Provider, ProviderDef, ProviderMetadata, ProviderUsage, Usage};
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use super::errors::ProviderError;
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use super::utils::{filter_extensions_from_system_prompt, RequestLog};
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use crate::config::base::GeminiCliCommand;
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use crate::config::search_path::SearchPaths;
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use crate::config::Config;
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use crate::conversation::message::{Message, MessageContent};
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use crate::model::ModelConfig;
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use crate::providers::base::ConfigKey;
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use crate::subprocess::configure_command_no_window;
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use futures::future::BoxFuture;
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use rmcp::model::Role;
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use rmcp::model::Tool;
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const GEMINI_CLI_PROVIDER_NAME: &str = "gemini-cli";
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pub const GEMINI_CLI_DEFAULT_MODEL: &str = "gemini-2.5-pro";
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pub const GEMINI_CLI_KNOWN_MODELS: &[&str] = &[
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"gemini-2.5-pro",
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"gemini-2.5-flash",
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"gemini-2.5-flash-lite",
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];
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pub const GEMINI_CLI_DOC_URL: &str = "https://ai.google.dev/gemini-api/docs";
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#[derive(Debug, serde::Serialize)]
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pub struct GeminiCliProvider {
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command: PathBuf,
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model: ModelConfig,
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#[serde(skip)]
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name: String,
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}
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impl GeminiCliProvider {
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pub async fn from_env(model: ModelConfig) -> Result<Self> {
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let config = Config::global();
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let command: String = config.get_gemini_cli_command().unwrap_or_default().into();
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let resolved_command = SearchPaths::builder().with_npm().resolve(&command)?;
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Ok(Self {
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command: resolved_command,
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model,
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name: GEMINI_CLI_PROVIDER_NAME.to_string(),
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})
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}
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/// Execute gemini CLI command with simple text prompt
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async fn execute_command(
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&self,
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system: &str,
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messages: &[Message],
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_tools: &[Tool],
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) -> Result<Vec<String>, ProviderError> {
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// Create a simple prompt combining system + conversation
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let mut full_prompt = String::new();
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let filtered_system = filter_extensions_from_system_prompt(system);
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full_prompt.push_str(&filtered_system);
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full_prompt.push_str("\n\n");
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// Add conversation history
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for message in messages.iter().filter(|m| m.is_agent_visible()) {
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let role_prefix = match message.role {
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Role::User => "Human: ",
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Role::Assistant => "Assistant: ",
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};
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full_prompt.push_str(role_prefix);
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for content in &message.content {
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if let MessageContent::Text(text_content) = content {
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full_prompt.push_str(&text_content.text);
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full_prompt.push('\n');
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}
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}
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full_prompt.push('\n');
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}
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full_prompt.push_str("Assistant: ");
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if std::env::var("GOOSE_GEMINI_CLI_DEBUG").is_ok() {
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println!("=== GEMINI CLI PROVIDER DEBUG ===");
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println!("Command: {:?}", self.command);
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println!("Full prompt: {}", full_prompt);
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println!("================================");
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}
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let mut cmd = Command::new(&self.command);
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configure_command_no_window(&mut cmd);
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if let Ok(path) = SearchPaths::builder().with_npm().path() {
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cmd.env("PATH", path);
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}
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// Only pass model parameter if it's in the known models list
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if GEMINI_CLI_KNOWN_MODELS.contains(&self.model.model_name.as_str()) {
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cmd.arg("-m").arg(&self.model.model_name);
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}
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if cfg!(windows) {
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let sanitized_prompt = full_prompt.replace("\r\n", "\\n").replace('\n', "\\n");
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cmd.arg("-p").arg(&sanitized_prompt).arg("--yolo");
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} else {
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cmd.arg("-p").arg(&full_prompt).arg("--yolo");
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}
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cmd.stdout(Stdio::piped()).stderr(Stdio::piped());
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let mut child = cmd.spawn().map_err(|e| {
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ProviderError::RequestFailed(format!(
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"Failed to spawn Gemini CLI command '{:?}': {}. \
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Make sure the Gemini CLI is installed and available in the configured search paths.",
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self.command, e
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))
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})?;
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let stdout = child
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.stdout
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.take()
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.ok_or_else(|| ProviderError::RequestFailed("Failed to capture stdout".to_string()))?;
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let mut reader = BufReader::new(stdout);
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let mut lines = Vec::new();
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let mut line = String::new();
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loop {
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line.clear();
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match reader.read_line(&mut line).await {
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Ok(0) => break, // EOF
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Ok(_) => {
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let trimmed = line.trim();
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if !trimmed.is_empty() && !trimmed.starts_with("Loaded cached credentials") {
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lines.push(trimmed.to_string());
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}
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}
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Err(e) => {
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return Err(ProviderError::RequestFailed(format!(
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"Failed to read output: {}",
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e
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)));
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}
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}
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}
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let exit_status = child.wait().await.map_err(|e| {
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ProviderError::RequestFailed(format!("Failed to wait for command: {}", e))
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})?;
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if !exit_status.success() {
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return Err(ProviderError::RequestFailed(format!(
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"Command failed with exit code: {:?}",
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exit_status.code()
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)));
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}
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tracing::debug!(
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"Gemini CLI executed successfully, got {} lines",
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lines.len()
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);
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Ok(lines)
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}
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/// Parse simple text response
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fn parse_response(&self, lines: &[String]) -> Result<(Message, Usage), ProviderError> {
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// Join all lines into a single response
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let response_text = lines.join("\n");
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if response_text.trim().is_empty() {
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return Err(ProviderError::RequestFailed(
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"Empty response from gemini command".to_string(),
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));
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}
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let message = Message::new(
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Role::Assistant,
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chrono::Utc::now().timestamp(),
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vec![MessageContent::text(response_text)],
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);
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let usage = Usage::default(); // No usage info available for gemini CLI
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Ok((message, usage))
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}
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/// Generate a simple session description without calling subprocess
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fn generate_simple_session_description(
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&self,
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messages: &[Message],
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) -> Result<(Message, ProviderUsage), ProviderError> {
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// Extract the first user message text
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let description = messages
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.iter()
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.find(|m| m.role == Role::User)
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.and_then(|m| {
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m.content.iter().find_map(|c| match c {
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MessageContent::Text(text_content) => Some(&text_content.text),
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_ => None,
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})
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})
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.map(|text| {
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// Take first few words, limit to 4 words
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text.split_whitespace()
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.take(4)
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.collect::<Vec<_>>()
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.join(" ")
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})
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.unwrap_or_else(|| "Simple task".to_string());
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if std::env::var("GOOSE_GEMINI_CLI_DEBUG").is_ok() {
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println!("=== GEMINI CLI PROVIDER DEBUG ===");
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println!("Generated simple session description: {}", description);
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println!("Skipped subprocess call for session description");
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println!("================================");
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}
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let message = Message::new(
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Role::Assistant,
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chrono::Utc::now().timestamp(),
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vec![MessageContent::text(description.clone())],
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);
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let usage = Usage::default();
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Ok((
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message,
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ProviderUsage::new(self.model.model_name.clone(), usage),
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))
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}
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}
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impl ProviderDef for GeminiCliProvider {
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type Provider = Self;
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fn metadata() -> ProviderMetadata {
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ProviderMetadata::new(
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GEMINI_CLI_PROVIDER_NAME,
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"Gemini CLI",
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"Execute Gemini models via gemini CLI tool",
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GEMINI_CLI_DEFAULT_MODEL,
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GEMINI_CLI_KNOWN_MODELS.to_vec(),
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GEMINI_CLI_DOC_URL,
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vec![ConfigKey::from_value_type::<GeminiCliCommand>(true, false)],
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)
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}
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fn from_env(model: ModelConfig) -> BoxFuture<'static, Result<Self::Provider>> {
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Box::pin(Self::from_env(model))
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}
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}
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#[async_trait]
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impl Provider for GeminiCliProvider {
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fn get_name(&self) -> &str {
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&self.name
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}
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fn get_model_config(&self) -> ModelConfig {
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// Return the model config with appropriate context limit for Gemini models
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self.model.clone()
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}
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#[tracing::instrument(
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skip(self, _model_config, system, messages, tools),
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fields(model_config, input, output, input_tokens, output_tokens, total_tokens)
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)]
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async fn complete_with_model(
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&self,
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_session_id: Option<&str>, // CLI has no external session-id flag to propagate.
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_model_config: &ModelConfig,
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system: &str,
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messages: &[Message],
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tools: &[Tool],
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) -> Result<(Message, ProviderUsage), ProviderError> {
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// Check if this is a session description request (short system prompt asking for 4 words or less)
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if system.contains("four words or less") || system.contains("4 words or less") {
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return self.generate_simple_session_description(messages);
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}
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// Create a dummy payload for debug tracing
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let payload = json!({
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"command": self.command,
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"model": self.model.model_name,
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"system": system,
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"messages": messages.len()
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});
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let mut log = RequestLog::start(&self.model, &payload).map_err(|e| {
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ProviderError::RequestFailed(format!("Failed to start request log: {}", e))
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})?;
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let lines = self.execute_command(system, messages, tools).await?;
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let (message, usage) = self.parse_response(&lines)?;
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let response = json!({
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"lines": lines.len(),
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"usage": usage
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});
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log.write(&response, Some(&usage)).map_err(|e| {
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ProviderError::RequestFailed(format!("Failed to write request log: {}", e))
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})?;
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Ok((
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message,
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ProviderUsage::new(self.model.model_name.clone(), usage),
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))
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}
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}
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