moved from tauri to a server with embedded UI

This commit is contained in:
Dave
2026-02-13 12:31:36 +00:00
parent d4203cfaab
commit 0876c53e17
79 changed files with 5755 additions and 10655 deletions

View File

@@ -0,0 +1,310 @@
use crate::llm::types::{
CompletionResponse, FunctionCall, Message, Role, ToolCall, ToolDefinition,
};
use futures::StreamExt;
use reqwest::header::{CONTENT_TYPE, HeaderMap, HeaderValue};
use serde::{Deserialize, Serialize};
use serde_json::json;
use tokio::sync::watch::Receiver;
const ANTHROPIC_API_URL: &str = "https://api.anthropic.com/v1/messages";
const ANTHROPIC_VERSION: &str = "2023-06-01";
pub struct AnthropicProvider {
api_key: String,
client: reqwest::Client,
}
#[derive(Debug, Serialize, Deserialize)]
struct AnthropicMessage {
role: String, // "user" or "assistant"
content: AnthropicContent,
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(untagged)]
enum AnthropicContent {
Text(String),
Blocks(Vec<AnthropicContentBlock>),
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(tag = "type")]
enum AnthropicContentBlock {
#[serde(rename = "text")]
Text { text: String },
#[serde(rename = "tool_use")]
ToolUse {
id: String,
name: String,
input: serde_json::Value,
},
#[serde(rename = "tool_result")]
ToolResult {
tool_use_id: String,
content: String,
},
}
#[derive(Debug, Serialize)]
struct AnthropicTool {
name: String,
description: String,
input_schema: serde_json::Value,
}
#[derive(Debug, Deserialize)]
struct StreamEvent {
#[serde(rename = "type")]
event_type: String,
#[serde(flatten)]
data: serde_json::Value,
}
impl AnthropicProvider {
pub fn new(api_key: String) -> Self {
Self {
api_key,
client: reqwest::Client::new(),
}
}
fn convert_tools(tools: &[ToolDefinition]) -> Vec<AnthropicTool> {
tools
.iter()
.map(|tool| AnthropicTool {
name: tool.function.name.clone(),
description: tool.function.description.clone(),
input_schema: tool.function.parameters.clone(),
})
.collect()
}
fn convert_messages(messages: &[Message]) -> Vec<AnthropicMessage> {
let mut anthropic_messages: Vec<AnthropicMessage> = Vec::new();
for msg in messages {
match msg.role {
Role::System => {
continue;
}
Role::User => {
anthropic_messages.push(AnthropicMessage {
role: "user".to_string(),
content: AnthropicContent::Text(msg.content.clone()),
});
}
Role::Assistant => {
if let Some(tool_calls) = &msg.tool_calls {
let mut blocks = Vec::new();
if !msg.content.is_empty() {
blocks.push(AnthropicContentBlock::Text {
text: msg.content.clone(),
});
}
for call in tool_calls {
let input: serde_json::Value =
serde_json::from_str(&call.function.arguments).unwrap_or(json!({}));
blocks.push(AnthropicContentBlock::ToolUse {
id: call
.id
.clone()
.unwrap_or_else(|| uuid::Uuid::new_v4().to_string()),
name: call.function.name.clone(),
input,
});
}
anthropic_messages.push(AnthropicMessage {
role: "assistant".to_string(),
content: AnthropicContent::Blocks(blocks),
});
} else {
anthropic_messages.push(AnthropicMessage {
role: "assistant".to_string(),
content: AnthropicContent::Text(msg.content.clone()),
});
}
}
Role::Tool => {
let tool_use_id = msg.tool_call_id.clone().unwrap_or_default();
anthropic_messages.push(AnthropicMessage {
role: "user".to_string(),
content: AnthropicContent::Blocks(vec![
AnthropicContentBlock::ToolResult {
tool_use_id,
content: msg.content.clone(),
},
]),
});
}
}
}
anthropic_messages
}
fn extract_system_prompt(messages: &[Message]) -> String {
messages
.iter()
.filter(|m| matches!(m.role, Role::System))
.map(|m| m.content.as_str())
.collect::<Vec<_>>()
.join("\n\n")
}
pub async fn chat_stream<F>(
&self,
model: &str,
messages: &[Message],
tools: &[ToolDefinition],
cancel_rx: &mut Receiver<bool>,
mut on_token: F,
) -> Result<CompletionResponse, String>
where
F: FnMut(&str),
{
let anthropic_messages = Self::convert_messages(messages);
let anthropic_tools = Self::convert_tools(tools);
let system_prompt = Self::extract_system_prompt(messages);
let mut request_body = json!({
"model": model,
"max_tokens": 4096,
"messages": anthropic_messages,
"stream": true,
});
if !system_prompt.is_empty() {
request_body["system"] = json!(system_prompt);
}
if !anthropic_tools.is_empty() {
request_body["tools"] = json!(anthropic_tools);
}
let mut headers = HeaderMap::new();
headers.insert(CONTENT_TYPE, HeaderValue::from_static("application/json"));
headers.insert(
"x-api-key",
HeaderValue::from_str(&self.api_key).map_err(|e| e.to_string())?,
);
headers.insert(
"anthropic-version",
HeaderValue::from_static(ANTHROPIC_VERSION),
);
let response = self
.client
.post(ANTHROPIC_API_URL)
.headers(headers)
.json(&request_body)
.send()
.await
.map_err(|e| format!("Failed to send request to Anthropic: {e}"))?;
if !response.status().is_success() {
let status = response.status();
let error_text = response
.text()
.await
.unwrap_or_else(|_| "Unknown error".to_string());
return Err(format!("Anthropic API error {status}: {error_text}"));
}
let mut stream = response.bytes_stream();
let mut accumulated_text = String::new();
let mut tool_calls: Vec<ToolCall> = Vec::new();
let mut current_tool_use: Option<(String, String, String)> = None;
loop {
let chunk = tokio::select! {
result = stream.next() => {
match result {
Some(c) => c,
None => break,
}
}
_ = cancel_rx.changed() => {
if *cancel_rx.borrow() {
return Err("Chat cancelled by user".to_string());
}
continue;
}
};
let bytes = chunk.map_err(|e| format!("Stream error: {e}"))?;
let text = String::from_utf8_lossy(&bytes);
for line in text.lines() {
if let Some(json_str) = line.strip_prefix("data: ") {
if json_str == "[DONE]" {
break;
}
let event: StreamEvent = match serde_json::from_str(json_str) {
Ok(e) => e,
Err(_) => continue,
};
match event.event_type.as_str() {
"content_block_start" => {
if let Some(content_block) = event.data.get("content_block")
&& content_block.get("type") == Some(&json!("tool_use"))
{
let id = content_block["id"].as_str().unwrap_or("").to_string();
let name = content_block["name"].as_str().unwrap_or("").to_string();
current_tool_use = Some((id, name, String::new()));
}
}
"content_block_delta" => {
if let Some(delta) = event.data.get("delta") {
if delta.get("type") == Some(&json!("text_delta")) {
if let Some(text) = delta.get("text").and_then(|t| t.as_str()) {
accumulated_text.push_str(text);
on_token(text);
}
} else if delta.get("type") == Some(&json!("input_json_delta"))
&& let Some((_, _, input_json)) = &mut current_tool_use
&& let Some(partial) =
delta.get("partial_json").and_then(|p| p.as_str())
{
input_json.push_str(partial);
}
}
}
"content_block_stop" => {
if let Some((id, name, input_json)) = current_tool_use.take() {
tool_calls.push(ToolCall {
id: Some(id),
kind: "function".to_string(),
function: FunctionCall {
name,
arguments: input_json,
},
});
}
}
_ => {}
}
}
}
}
Ok(CompletionResponse {
content: if accumulated_text.is_empty() {
None
} else {
Some(accumulated_text)
},
tool_calls: if tool_calls.is_empty() {
None
} else {
Some(tool_calls)
},
})
}
}

View File

@@ -0,0 +1,2 @@
pub mod anthropic;
pub mod ollama;

View File

@@ -0,0 +1,266 @@
use crate::llm::types::{
CompletionResponse, FunctionCall, Message, ModelProvider, Role, ToolCall, ToolDefinition,
};
use async_trait::async_trait;
use futures::StreamExt;
use serde::{Deserialize, Serialize};
use serde_json::Value;
pub struct OllamaProvider {
base_url: String,
}
impl OllamaProvider {
pub fn new(base_url: String) -> Self {
Self { base_url }
}
pub async fn get_models(base_url: &str) -> Result<Vec<String>, String> {
let client = reqwest::Client::new();
let url = format!("{}/api/tags", base_url.trim_end_matches('/'));
let res = client
.get(&url)
.send()
.await
.map_err(|e| format!("Request failed: {}", e))?;
if !res.status().is_success() {
let status = res.status();
let text = res.text().await.unwrap_or_default();
return Err(format!("Ollama API error {}: {}", status, text));
}
let body: OllamaTagsResponse = res
.json()
.await
.map_err(|e| format!("Failed to parse response: {}", e))?;
Ok(body.models.into_iter().map(|m| m.name).collect())
}
/// Streaming chat that calls `on_token` for each token chunk.
pub async fn chat_stream<F>(
&self,
model: &str,
messages: &[Message],
tools: &[ToolDefinition],
cancel_rx: &mut tokio::sync::watch::Receiver<bool>,
mut on_token: F,
) -> Result<CompletionResponse, String>
where
F: FnMut(&str) + Send,
{
let client = reqwest::Client::new();
let url = format!("{}/api/chat", self.base_url.trim_end_matches('/'));
let ollama_messages: Vec<OllamaRequestMessage> = messages
.iter()
.map(|m| {
let tool_calls = m.tool_calls.as_ref().map(|calls| {
calls
.iter()
.map(|tc| {
let args_val: Value = serde_json::from_str(&tc.function.arguments)
.unwrap_or(Value::String(tc.function.arguments.clone()));
OllamaRequestToolCall {
kind: tc.kind.clone(),
function: OllamaRequestFunctionCall {
name: tc.function.name.clone(),
arguments: args_val,
},
}
})
.collect()
});
OllamaRequestMessage {
role: m.role.clone(),
content: m.content.clone(),
tool_calls,
tool_call_id: m.tool_call_id.clone(),
}
})
.collect();
let request_body = OllamaRequest {
model,
messages: ollama_messages,
stream: true,
tools,
};
let res = client
.post(&url)
.json(&request_body)
.send()
.await
.map_err(|e| format!("Request failed: {}", e))?;
if !res.status().is_success() {
let status = res.status();
let text = res.text().await.unwrap_or_default();
return Err(format!("Ollama API error {}: {}", status, text));
}
let mut stream = res.bytes_stream();
let mut buffer = String::new();
let mut accumulated_content = String::new();
let mut final_tool_calls: Option<Vec<ToolCall>> = None;
loop {
if *cancel_rx.borrow() {
return Err("Chat cancelled by user".to_string());
}
let chunk_result = tokio::select! {
chunk = stream.next() => {
match chunk {
Some(c) => c,
None => break,
}
}
_ = cancel_rx.changed() => {
if *cancel_rx.borrow() {
return Err("Chat cancelled by user".to_string());
} else {
continue;
}
}
};
let chunk = chunk_result.map_err(|e| format!("Stream error: {}", e))?;
buffer.push_str(&String::from_utf8_lossy(&chunk));
while let Some(newline_pos) = buffer.find('\n') {
let line = buffer[..newline_pos].trim().to_string();
buffer = buffer[newline_pos + 1..].to_string();
if line.is_empty() {
continue;
}
let stream_msg: OllamaStreamResponse =
serde_json::from_str(&line).map_err(|e| format!("JSON parse error: {}", e))?;
if !stream_msg.message.content.is_empty() {
accumulated_content.push_str(&stream_msg.message.content);
on_token(&stream_msg.message.content);
}
if let Some(tool_calls) = stream_msg.message.tool_calls {
final_tool_calls = Some(
tool_calls
.into_iter()
.map(|tc| ToolCall {
id: None,
kind: "function".to_string(),
function: FunctionCall {
name: tc.function.name,
arguments: tc.function.arguments.to_string(),
},
})
.collect(),
);
}
if stream_msg.done {
break;
}
}
}
Ok(CompletionResponse {
content: if accumulated_content.is_empty() {
None
} else {
Some(accumulated_content)
},
tool_calls: final_tool_calls,
})
}
}
#[derive(Deserialize)]
struct OllamaTagsResponse {
models: Vec<OllamaModelTag>,
}
#[derive(Deserialize)]
struct OllamaModelTag {
name: String,
}
#[derive(Serialize)]
struct OllamaRequest<'a> {
model: &'a str,
messages: Vec<OllamaRequestMessage>,
stream: bool,
#[serde(skip_serializing_if = "is_empty_tools")]
tools: &'a [ToolDefinition],
}
fn is_empty_tools(tools: &&[ToolDefinition]) -> bool {
tools.is_empty()
}
#[derive(Serialize)]
struct OllamaRequestMessage {
role: Role,
content: String,
#[serde(skip_serializing_if = "Option::is_none")]
tool_calls: Option<Vec<OllamaRequestToolCall>>,
#[serde(skip_serializing_if = "Option::is_none")]
tool_call_id: Option<String>,
}
#[derive(Serialize)]
struct OllamaRequestToolCall {
function: OllamaRequestFunctionCall,
#[serde(rename = "type")]
kind: String,
}
#[derive(Serialize)]
struct OllamaRequestFunctionCall {
name: String,
arguments: Value,
}
#[derive(Deserialize)]
struct OllamaStreamResponse {
message: OllamaStreamMessage,
done: bool,
}
#[derive(Deserialize)]
struct OllamaStreamMessage {
#[serde(default)]
content: String,
#[serde(default)]
tool_calls: Option<Vec<OllamaResponseToolCall>>,
}
#[derive(Deserialize)]
struct OllamaResponseToolCall {
function: OllamaResponseFunctionCall,
}
#[derive(Deserialize)]
struct OllamaResponseFunctionCall {
name: String,
arguments: Value,
}
#[async_trait]
impl ModelProvider for OllamaProvider {
async fn chat(
&self,
_model: &str,
_messages: &[Message],
_tools: &[ToolDefinition],
) -> Result<CompletionResponse, String> {
Err("Non-streaming Ollama chat not implemented for server".to_string())
}
}