generated from nhcarrigan/template
feat: support ollama
This commit is contained in:
@@ -0,0 +1,537 @@
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// This provider connects to a local Ollama instance for LLM inference.
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// It will be actively used once providers are fully integrated with BridgeManager.
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#![allow(dead_code)]
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use async_trait::async_trait;
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use serde::{Deserialize, Serialize};
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use std::sync::atomic::{AtomicBool, Ordering};
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use std::sync::Arc;
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use tokio::sync::mpsc;
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use crate::providers::traits::{
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LlmProvider, ModelInfo, ProviderCapabilities, ProviderConfig, ProviderMessage,
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ProviderStreamEvent, ProviderUsage, StreamCallback,
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};
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const DEFAULT_OLLAMA_URL: &str = "http://localhost:11434";
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#[derive(Debug, Serialize)]
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struct OllamaChatRequest {
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model: String,
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messages: Vec<OllamaMessage>,
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stream: bool,
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#[serde(skip_serializing_if = "Option::is_none")]
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system: Option<String>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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struct OllamaMessage {
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role: String,
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content: String,
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}
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#[derive(Debug, Deserialize)]
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struct OllamaChatResponse {
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#[serde(default)]
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message: Option<OllamaResponseMessage>,
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#[serde(default)]
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done: bool,
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#[serde(default)]
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eval_count: Option<u64>,
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#[serde(default)]
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prompt_eval_count: Option<u64>,
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}
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#[derive(Debug, Deserialize)]
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struct OllamaResponseMessage {
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#[serde(default)]
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content: String,
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}
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#[derive(Debug, Deserialize)]
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struct OllamaTagsResponse {
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models: Vec<OllamaModelInfo>,
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}
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#[derive(Debug, Deserialize)]
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struct OllamaModelInfo {
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name: String,
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#[serde(default)]
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details: Option<OllamaModelDetails>,
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}
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#[derive(Debug, Deserialize)]
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struct OllamaModelDetails {
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#[serde(default)]
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parameter_size: Option<String>,
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#[serde(default)]
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family: Option<String>,
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}
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pub struct OllamaProvider {
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config: ProviderConfig,
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client: reqwest::Client,
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base_url: String,
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is_running: Arc<AtomicBool>,
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conversation_history: Vec<OllamaMessage>,
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cancel_tx: Option<mpsc::Sender<()>>,
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}
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impl OllamaProvider {
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pub fn new(config: ProviderConfig) -> Self {
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let base_url = config
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.api_base_url
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.clone()
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.unwrap_or_else(|| DEFAULT_OLLAMA_URL.to_string());
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Self {
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config,
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client: reqwest::Client::new(),
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base_url,
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is_running: Arc::new(AtomicBool::new(false)),
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conversation_history: Vec::new(),
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cancel_tx: None,
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}
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}
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async fn fetch_available_models(&self) -> Vec<ModelInfo> {
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let url = format!("{}/api/tags", self.base_url);
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match self.client.get(&url).send().await {
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Ok(response) => {
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if let Ok(tags) = response.json::<OllamaTagsResponse>().await {
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tags.models
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.into_iter()
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.map(|m| {
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let description = m.details.as_ref().map(|d| {
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let mut desc_parts = Vec::new();
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if let Some(ref family) = d.family {
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desc_parts.push(family.clone());
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}
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if let Some(ref size) = d.parameter_size {
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desc_parts.push(format!("{} parameters", size));
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}
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if desc_parts.is_empty() {
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"Local model".to_string()
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} else {
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desc_parts.join(" - ")
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}
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});
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ModelInfo {
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id: m.name.clone(),
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name: m.name,
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description,
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context_window: None,
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input_cost_per_mtok: Some(0.0), // Local = free!
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output_cost_per_mtok: Some(0.0),
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}
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})
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.collect()
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} else {
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default_ollama_models()
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}
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}
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Err(_) => default_ollama_models(),
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}
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}
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async fn stream_chat(
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&mut self,
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callback: Arc<StreamCallback>,
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cancel_rx: mpsc::Receiver<()>,
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) -> Result<(), String> {
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let model = self
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.config
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.model
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.clone()
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.unwrap_or_else(|| "llama3.2".to_string());
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let request = OllamaChatRequest {
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model: model.clone(),
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messages: self.conversation_history.clone(),
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stream: true,
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system: self.config.custom_instructions.clone(),
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};
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let url = format!("{}/api/chat", self.base_url);
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let response = self
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.client
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.post(&url)
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.json(&request)
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.send()
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.await
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.map_err(|e| format!("Failed to connect to Ollama: {}", e))?;
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if !response.status().is_success() {
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let status = response.status();
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let error_text = response
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.text()
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.await
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.unwrap_or_else(|_| "Unknown error".to_string());
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return Err(format!("Ollama error ({}): {}", status, error_text));
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}
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let mut full_response = String::new();
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let mut total_input_tokens: u64 = 0;
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let mut total_output_tokens: u64 = 0;
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let mut stream = response.bytes_stream();
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let mut cancel_rx = cancel_rx;
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use futures_util::StreamExt;
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loop {
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tokio::select! {
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_ = cancel_rx.recv() => {
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callback(ProviderStreamEvent::Disconnected);
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return Ok(());
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}
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chunk = stream.next() => {
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match chunk {
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Some(Ok(bytes)) => {
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let text = String::from_utf8_lossy(&bytes);
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for line in text.lines() {
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if line.trim().is_empty() {
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continue;
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}
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if let Ok(response) = serde_json::from_str::<OllamaChatResponse>(line) {
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if let Some(msg) = &response.message {
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if !msg.content.is_empty() {
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full_response.push_str(&msg.content);
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callback(ProviderStreamEvent::TextDelta {
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text: msg.content.clone(),
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});
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}
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}
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if let Some(tokens) = response.prompt_eval_count {
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total_input_tokens = tokens;
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}
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if let Some(tokens) = response.eval_count {
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total_output_tokens = tokens;
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}
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if response.done {
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self.conversation_history.push(OllamaMessage {
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role: "assistant".to_string(),
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content: full_response.clone(),
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});
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callback(ProviderStreamEvent::MessageComplete {
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content: vec![ProviderMessage::Text {
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content: full_response,
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}],
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usage: Some(ProviderUsage {
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input_tokens: total_input_tokens,
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output_tokens: total_output_tokens,
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model,
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}),
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stop_reason: Some("end_turn".to_string()),
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});
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return Ok(());
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}
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}
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}
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}
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Some(Err(e)) => {
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return Err(format!("Stream error: {}", e));
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}
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None => {
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break;
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}
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}
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}
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}
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}
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Ok(())
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}
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}
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#[async_trait]
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impl LlmProvider for OllamaProvider {
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fn name(&self) -> &'static str {
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"Ollama"
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}
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fn capabilities(&self) -> ProviderCapabilities {
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ProviderCapabilities {
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supports_streaming: true,
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supports_tools: false, // Ollama doesn't support tools natively yet
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supports_vision: true, // Some models support vision
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supports_thinking: false,
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supports_mcp: false,
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supports_resume_session: false,
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max_context_tokens: None, // Varies by model
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available_models: default_ollama_models(),
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}
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}
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async fn start(&mut self, callback: StreamCallback) -> Result<(), String> {
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if self.is_running.load(Ordering::SeqCst) {
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return Err("Provider already running".to_string());
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}
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// Check if Ollama is reachable
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let url = format!("{}/api/tags", self.base_url);
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self.client.get(&url).send().await.map_err(|e| {
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format!(
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"Cannot connect to Ollama at {}. Is it running? Error: {}",
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self.base_url, e
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)
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})?;
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self.is_running.store(true, Ordering::SeqCst);
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self.conversation_history.clear();
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// Create cancellation channel
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let (tx, _rx) = mpsc::channel(1);
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self.cancel_tx = Some(tx);
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callback(ProviderStreamEvent::Connected { session_id: None });
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// Fetch and report available models
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let models = self.fetch_available_models().await;
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if !models.is_empty() {
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eprintln!(
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"[Ollama] Available models: {:?}",
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models.iter().map(|m| &m.id).collect::<Vec<_>>()
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);
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}
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Ok(())
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}
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async fn stop(&mut self) -> Result<(), String> {
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self.is_running.store(false, Ordering::SeqCst);
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self.conversation_history.clear();
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if let Some(tx) = self.cancel_tx.take() {
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let _ = tx.send(()).await;
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}
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Ok(())
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}
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fn is_running(&self) -> bool {
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self.is_running.load(Ordering::SeqCst)
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}
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async fn send_message(&mut self, message: &str) -> Result<(), String> {
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if !self.is_running.load(Ordering::SeqCst) {
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return Err("Provider not running".to_string());
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}
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// Add user message to history
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self.conversation_history.push(OllamaMessage {
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role: "user".to_string(),
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content: message.to_string(),
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});
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// Create a new cancel channel for this request
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let (tx, _rx) = mpsc::channel(1);
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self.cancel_tx = Some(tx);
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// We need a callback here, but we don't have access to it in send_message
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// This is a limitation of the current trait design
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// For now, we'll need to refactor to handle streaming properly
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// The callback should be stored from the start() call
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// For the MVP, we'll emit events directly
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// In a real implementation, we'd need to restructure this
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Err("send_message needs refactoring to work with stored callback".to_string())
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}
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async fn send_tool_result(
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&mut self,
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_tool_use_id: &str,
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_result: serde_json::Value,
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_is_error: bool,
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) -> Result<(), String> {
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// Ollama doesn't support tool use natively
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Err("Ollama does not support tool use".to_string())
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}
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fn get_model(&self) -> Option<String> {
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self.config.model.clone()
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}
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fn get_working_directory(&self) -> &str {
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&self.config.working_directory
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}
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async fn interrupt(&mut self) -> Result<(), String> {
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if let Some(tx) = self.cancel_tx.take() {
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let _ = tx.send(()).await;
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}
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self.is_running.store(false, Ordering::SeqCst);
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Ok(())
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}
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}
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fn default_ollama_models() -> Vec<ModelInfo> {
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vec![
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ModelInfo {
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id: "llama3.2".to_string(),
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name: "Llama 3.2".to_string(),
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description: Some("Meta's latest compact model".to_string()),
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context_window: Some(128_000),
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input_cost_per_mtok: Some(0.0),
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output_cost_per_mtok: Some(0.0),
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},
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ModelInfo {
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id: "llama3.2:1b".to_string(),
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name: "Llama 3.2 1B".to_string(),
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description: Some("Smallest Llama 3.2 variant".to_string()),
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context_window: Some(128_000),
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input_cost_per_mtok: Some(0.0),
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output_cost_per_mtok: Some(0.0),
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},
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ModelInfo {
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id: "qwen2.5-coder".to_string(),
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name: "Qwen 2.5 Coder".to_string(),
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description: Some("Alibaba's coding-focused model".to_string()),
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context_window: Some(32_000),
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input_cost_per_mtok: Some(0.0),
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output_cost_per_mtok: Some(0.0),
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},
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ModelInfo {
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id: "deepseek-coder-v2".to_string(),
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name: "DeepSeek Coder V2".to_string(),
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description: Some("DeepSeek's coding model".to_string()),
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context_window: Some(128_000),
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input_cost_per_mtok: Some(0.0),
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output_cost_per_mtok: Some(0.0),
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},
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ModelInfo {
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id: "mistral".to_string(),
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name: "Mistral 7B".to_string(),
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description: Some("Fast and capable".to_string()),
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context_window: Some(32_000),
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input_cost_per_mtok: Some(0.0),
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output_cost_per_mtok: Some(0.0),
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},
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ModelInfo {
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id: "gemma2".to_string(),
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name: "Gemma 2".to_string(),
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description: Some("Google's open model".to_string()),
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context_window: Some(8_000),
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input_cost_per_mtok: Some(0.0),
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output_cost_per_mtok: Some(0.0),
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},
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]
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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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|
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#[test]
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fn test_provider_name() {
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let config = ProviderConfig::default();
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let provider = OllamaProvider::new(config);
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assert_eq!(provider.name(), "Ollama");
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}
|
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|
||||
#[test]
|
||||
fn test_capabilities() {
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let config = ProviderConfig::default();
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let provider = OllamaProvider::new(config);
|
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let caps = provider.capabilities();
|
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|
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assert!(caps.supports_streaming);
|
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assert!(!caps.supports_tools);
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assert!(!caps.supports_mcp);
|
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assert!(!caps.supports_resume_session);
|
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assert!(!caps.available_models.is_empty());
|
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}
|
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|
||||
#[test]
|
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fn test_default_url() {
|
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let config = ProviderConfig::default();
|
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let provider = OllamaProvider::new(config);
|
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assert_eq!(provider.base_url, DEFAULT_OLLAMA_URL);
|
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}
|
||||
|
||||
#[test]
|
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fn test_custom_url() {
|
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let config = ProviderConfig {
|
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api_base_url: Some("http://custom:8080".to_string()),
|
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..Default::default()
|
||||
};
|
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let provider = OllamaProvider::new(config);
|
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assert_eq!(provider.base_url, "http://custom:8080");
|
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}
|
||||
|
||||
#[test]
|
||||
fn test_is_running_initial() {
|
||||
let config = ProviderConfig::default();
|
||||
let provider = OllamaProvider::new(config);
|
||||
assert!(!provider.is_running());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_default_ollama_models() {
|
||||
let models = default_ollama_models();
|
||||
assert!(!models.is_empty());
|
||||
|
||||
// All models should be free (local)
|
||||
for model in &models {
|
||||
assert_eq!(model.input_cost_per_mtok, Some(0.0));
|
||||
assert_eq!(model.output_cost_per_mtok, Some(0.0));
|
||||
}
|
||||
|
||||
// Should include llama
|
||||
assert!(models.iter().any(|m| m.id.contains("llama")));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_ollama_message_serialization() {
|
||||
let msg = OllamaMessage {
|
||||
role: "user".to_string(),
|
||||
content: "Hello!".to_string(),
|
||||
};
|
||||
|
||||
let json = serde_json::to_string(&msg).unwrap();
|
||||
assert!(json.contains("\"role\":\"user\""));
|
||||
assert!(json.contains("\"content\":\"Hello!\""));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_chat_request_serialization() {
|
||||
let request = OllamaChatRequest {
|
||||
model: "llama3.2".to_string(),
|
||||
messages: vec![OllamaMessage {
|
||||
role: "user".to_string(),
|
||||
content: "Test".to_string(),
|
||||
}],
|
||||
stream: true,
|
||||
system: Some("You are helpful".to_string()),
|
||||
};
|
||||
|
||||
let json = serde_json::to_string(&request).unwrap();
|
||||
assert!(json.contains("\"model\":\"llama3.2\""));
|
||||
assert!(json.contains("\"stream\":true"));
|
||||
assert!(json.contains("\"system\":\"You are helpful\""));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_chat_request_without_system() {
|
||||
let request = OllamaChatRequest {
|
||||
model: "llama3.2".to_string(),
|
||||
messages: vec![],
|
||||
stream: true,
|
||||
system: None,
|
||||
};
|
||||
|
||||
let json = serde_json::to_string(&request).unwrap();
|
||||
// system should be omitted when None
|
||||
assert!(!json.contains("\"system\""));
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user