683 lines
20 KiB
Rust
683 lines
20 KiB
Rust
mod supported_countries;
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use anyhow::{anyhow, Context as _, Result};
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use futures::{
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io::BufReader,
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stream::{self, BoxStream},
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AsyncBufReadExt, AsyncReadExt, Stream, StreamExt,
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};
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use http_client::{AsyncBody, HttpClient, Method, Request as HttpRequest};
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use serde::{Deserialize, Serialize};
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use serde_json::Value;
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use std::{
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convert::TryFrom,
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future::{self, Future},
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pin::Pin,
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};
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use strum::EnumIter;
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pub use supported_countries::*;
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pub const OPEN_AI_API_URL: &str = "https://api.openai.com/v1";
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fn is_none_or_empty<T: AsRef<[U]>, U>(opt: &Option<T>) -> bool {
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opt.as_ref().map_or(true, |v| v.as_ref().is_empty())
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}
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#[derive(Clone, Copy, Serialize, Deserialize, Debug, Eq, PartialEq)]
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#[serde(rename_all = "lowercase")]
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pub enum Role {
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User,
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Assistant,
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System,
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Tool,
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}
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impl TryFrom<String> for Role {
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type Error = anyhow::Error;
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fn try_from(value: String) -> Result<Self> {
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match value.as_str() {
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"user" => Ok(Self::User),
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"assistant" => Ok(Self::Assistant),
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"system" => Ok(Self::System),
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"tool" => Ok(Self::Tool),
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_ => Err(anyhow!("invalid role '{value}'")),
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}
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}
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}
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impl From<Role> for String {
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fn from(val: Role) -> Self {
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match val {
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Role::User => "user".to_owned(),
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Role::Assistant => "assistant".to_owned(),
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Role::System => "system".to_owned(),
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Role::Tool => "tool".to_owned(),
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}
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}
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}
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#[cfg_attr(feature = "schemars", derive(schemars::JsonSchema))]
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#[derive(Clone, Debug, Default, Serialize, Deserialize, PartialEq, EnumIter)]
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pub enum Model {
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#[serde(rename = "gpt-3.5-turbo", alias = "gpt-3.5-turbo")]
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ThreePointFiveTurbo,
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#[serde(rename = "gpt-4", alias = "gpt-4")]
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Four,
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#[serde(rename = "gpt-4-turbo", alias = "gpt-4-turbo")]
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FourTurbo,
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#[serde(rename = "gpt-4o", alias = "gpt-4o")]
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#[default]
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FourOmni,
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#[serde(rename = "gpt-4o-mini", alias = "gpt-4o-mini")]
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FourOmniMini,
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#[serde(rename = "o1", alias = "o1")]
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O1,
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#[serde(rename = "o1-preview", alias = "o1-preview")]
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O1Preview,
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#[serde(rename = "o1-mini", alias = "o1-mini")]
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O1Mini,
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#[serde(rename = "o3-mini", alias = "o3-mini")]
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O3Mini,
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#[serde(rename = "custom")]
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Custom {
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name: String,
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/// The name displayed in the UI, such as in the assistant panel model dropdown menu.
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display_name: Option<String>,
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max_tokens: usize,
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max_output_tokens: Option<u32>,
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max_completion_tokens: Option<u32>,
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},
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}
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impl Model {
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pub fn from_id(id: &str) -> Result<Self> {
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match id {
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"gpt-3.5-turbo" => Ok(Self::ThreePointFiveTurbo),
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"gpt-4" => Ok(Self::Four),
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"gpt-4-turbo-preview" => Ok(Self::FourTurbo),
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"gpt-4o" => Ok(Self::FourOmni),
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"gpt-4o-mini" => Ok(Self::FourOmniMini),
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"o1" => Ok(Self::O1),
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"o1-preview" => Ok(Self::O1Preview),
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"o1-mini" => Ok(Self::O1Mini),
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"o3-mini" => Ok(Self::O3Mini),
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_ => Err(anyhow!("invalid model id")),
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}
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}
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pub fn id(&self) -> &str {
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match self {
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Self::ThreePointFiveTurbo => "gpt-3.5-turbo",
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Self::Four => "gpt-4",
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Self::FourTurbo => "gpt-4-turbo",
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Self::FourOmni => "gpt-4o",
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Self::FourOmniMini => "gpt-4o-mini",
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Self::O1 => "o1",
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Self::O1Preview => "o1-preview",
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Self::O1Mini => "o1-mini",
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Self::O3Mini => "o3-mini",
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Self::Custom { name, .. } => name,
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}
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}
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pub fn display_name(&self) -> &str {
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match self {
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Self::ThreePointFiveTurbo => "gpt-3.5-turbo",
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Self::Four => "gpt-4",
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Self::FourTurbo => "gpt-4-turbo",
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Self::FourOmni => "gpt-4o",
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Self::FourOmniMini => "gpt-4o-mini",
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Self::O1 => "o1",
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Self::O1Preview => "o1-preview",
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Self::O1Mini => "o1-mini",
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Self::O3Mini => "o3-mini",
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Self::Custom {
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name, display_name, ..
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} => display_name.as_ref().unwrap_or(name),
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}
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}
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pub fn max_token_count(&self) -> usize {
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match self {
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Self::ThreePointFiveTurbo => 16385,
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Self::Four => 8192,
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Self::FourTurbo => 128000,
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Self::FourOmni => 128000,
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Self::FourOmniMini => 128000,
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Self::O1 => 200000,
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Self::O1Preview => 128000,
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Self::O1Mini => 128000,
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Self::O3Mini => 200000,
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Self::Custom { max_tokens, .. } => *max_tokens,
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}
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}
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pub fn max_output_tokens(&self) -> Option<u32> {
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match self {
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Self::Custom {
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max_output_tokens, ..
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} => *max_output_tokens,
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_ => None,
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}
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}
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}
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#[derive(Debug, Serialize, Deserialize)]
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pub struct Request {
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pub model: String,
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pub messages: Vec<RequestMessage>,
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pub stream: bool,
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#[serde(default, skip_serializing_if = "Option::is_none")]
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pub max_tokens: Option<u32>,
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#[serde(default, skip_serializing_if = "Vec::is_empty")]
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pub stop: Vec<String>,
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pub temperature: f32,
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#[serde(default, skip_serializing_if = "Option::is_none")]
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pub tool_choice: Option<ToolChoice>,
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#[serde(default, skip_serializing_if = "Vec::is_empty")]
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pub tools: Vec<ToolDefinition>,
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}
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#[derive(Debug, Serialize, Deserialize)]
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pub struct CompletionRequest {
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pub model: String,
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pub prompt: String,
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pub max_tokens: u32,
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pub temperature: f32,
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#[serde(default, skip_serializing_if = "Option::is_none")]
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pub prediction: Option<Prediction>,
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#[serde(default, skip_serializing_if = "Option::is_none")]
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pub rewrite_speculation: Option<bool>,
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}
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#[derive(Clone, Deserialize, Serialize, Debug)]
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#[serde(tag = "type", rename_all = "snake_case")]
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pub enum Prediction {
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Content { content: String },
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}
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#[derive(Debug, Serialize, Deserialize)]
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#[serde(untagged)]
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pub enum ToolChoice {
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Auto,
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Required,
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None,
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Other(ToolDefinition),
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}
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#[derive(Clone, Deserialize, Serialize, Debug)]
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#[serde(tag = "type", rename_all = "snake_case")]
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pub enum ToolDefinition {
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#[allow(dead_code)]
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Function { function: FunctionDefinition },
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}
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#[derive(Clone, Debug, Serialize, Deserialize)]
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pub struct FunctionDefinition {
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pub name: String,
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pub description: Option<String>,
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pub parameters: Option<Value>,
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}
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#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
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#[serde(tag = "role", rename_all = "lowercase")]
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pub enum RequestMessage {
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Assistant {
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content: Option<String>,
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#[serde(default, skip_serializing_if = "Vec::is_empty")]
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tool_calls: Vec<ToolCall>,
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},
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User {
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content: String,
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},
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System {
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content: String,
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},
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Tool {
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content: String,
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tool_call_id: String,
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},
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}
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#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
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pub struct ToolCall {
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pub id: String,
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#[serde(flatten)]
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pub content: ToolCallContent,
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}
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#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
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#[serde(tag = "type", rename_all = "lowercase")]
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pub enum ToolCallContent {
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Function { function: FunctionContent },
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}
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#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
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pub struct FunctionContent {
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pub name: String,
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pub arguments: String,
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}
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#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
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pub struct ResponseMessageDelta {
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pub role: Option<Role>,
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pub content: Option<String>,
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#[serde(default, skip_serializing_if = "is_none_or_empty")]
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pub tool_calls: Option<Vec<ToolCallChunk>>,
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}
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#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
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pub struct ToolCallChunk {
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pub index: usize,
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pub id: Option<String>,
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// There is also an optional `type` field that would determine if a
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// function is there. Sometimes this streams in with the `function` before
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// it streams in the `type`
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pub function: Option<FunctionChunk>,
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}
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#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
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pub struct FunctionChunk {
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pub name: Option<String>,
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pub arguments: Option<String>,
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}
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#[derive(Serialize, Deserialize, Debug)]
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pub struct Usage {
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pub prompt_tokens: u32,
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pub completion_tokens: u32,
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pub total_tokens: u32,
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}
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#[derive(Serialize, Deserialize, Debug)]
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pub struct ChoiceDelta {
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pub index: u32,
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pub delta: ResponseMessageDelta,
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pub finish_reason: Option<String>,
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}
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#[derive(Serialize, Deserialize, Debug)]
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#[serde(untagged)]
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pub enum ResponseStreamResult {
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Ok(ResponseStreamEvent),
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Err { error: String },
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}
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#[derive(Serialize, Deserialize, Debug)]
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pub struct ResponseStreamEvent {
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pub created: u32,
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pub model: String,
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pub choices: Vec<ChoiceDelta>,
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pub usage: Option<Usage>,
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}
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#[derive(Serialize, Deserialize, Debug)]
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pub struct CompletionResponse {
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pub id: String,
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pub object: String,
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pub created: u64,
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pub model: String,
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pub choices: Vec<CompletionChoice>,
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pub usage: Usage,
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}
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#[derive(Serialize, Deserialize, Debug)]
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pub struct CompletionChoice {
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pub text: String,
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}
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#[derive(Serialize, Deserialize, Debug)]
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pub struct Response {
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pub id: String,
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pub object: String,
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pub created: u64,
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pub model: String,
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pub choices: Vec<Choice>,
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pub usage: Usage,
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}
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#[derive(Serialize, Deserialize, Debug)]
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pub struct Choice {
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pub index: u32,
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pub message: RequestMessage,
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pub finish_reason: Option<String>,
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}
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pub async fn complete(
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client: &dyn HttpClient,
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api_url: &str,
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api_key: &str,
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request: Request,
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) -> Result<Response> {
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let uri = format!("{api_url}/chat/completions");
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let request_builder = HttpRequest::builder()
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.method(Method::POST)
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.uri(uri)
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.header("Content-Type", "application/json")
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.header("Authorization", format!("Bearer {}", api_key));
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let mut request_body = request;
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request_body.stream = false;
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let request = request_builder.body(AsyncBody::from(serde_json::to_string(&request_body)?))?;
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let mut response = client.send(request).await?;
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if response.status().is_success() {
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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let response: Response = serde_json::from_str(&body)?;
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Ok(response)
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} else {
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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#[derive(Deserialize)]
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struct OpenAiResponse {
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error: OpenAiError,
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}
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#[derive(Deserialize)]
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struct OpenAiError {
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message: String,
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}
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match serde_json::from_str::<OpenAiResponse>(&body) {
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Ok(response) if !response.error.message.is_empty() => Err(anyhow!(
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"Failed to connect to OpenAI API: {}",
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response.error.message,
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)),
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_ => Err(anyhow!(
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"Failed to connect to OpenAI API: {} {}",
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response.status(),
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body,
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)),
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}
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}
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}
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pub async fn complete_text(
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client: &dyn HttpClient,
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api_url: &str,
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api_key: &str,
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request: CompletionRequest,
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) -> Result<CompletionResponse> {
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let uri = format!("{api_url}/completions");
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let request_builder = HttpRequest::builder()
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.method(Method::POST)
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.uri(uri)
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.header("Content-Type", "application/json")
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.header("Authorization", format!("Bearer {}", api_key));
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let request = request_builder.body(AsyncBody::from(serde_json::to_string(&request)?))?;
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let mut response = client.send(request).await?;
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if response.status().is_success() {
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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let response = serde_json::from_str(&body)?;
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Ok(response)
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} else {
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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#[derive(Deserialize)]
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struct OpenAiResponse {
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error: OpenAiError,
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}
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#[derive(Deserialize)]
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struct OpenAiError {
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message: String,
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}
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match serde_json::from_str::<OpenAiResponse>(&body) {
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Ok(response) if !response.error.message.is_empty() => Err(anyhow!(
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"Failed to connect to OpenAI API: {}",
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response.error.message,
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)),
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_ => Err(anyhow!(
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"Failed to connect to OpenAI API: {} {}",
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response.status(),
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body,
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)),
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}
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}
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}
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fn adapt_response_to_stream(response: Response) -> ResponseStreamEvent {
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ResponseStreamEvent {
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created: response.created as u32,
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model: response.model,
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choices: response
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.choices
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.into_iter()
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.map(|choice| ChoiceDelta {
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index: choice.index,
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delta: ResponseMessageDelta {
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role: Some(match choice.message {
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RequestMessage::Assistant { .. } => Role::Assistant,
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RequestMessage::User { .. } => Role::User,
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RequestMessage::System { .. } => Role::System,
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RequestMessage::Tool { .. } => Role::Tool,
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}),
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content: match choice.message {
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RequestMessage::Assistant { content, .. } => content,
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RequestMessage::User { content } => Some(content),
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RequestMessage::System { content } => Some(content),
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RequestMessage::Tool { content, .. } => Some(content),
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},
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tool_calls: None,
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},
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finish_reason: choice.finish_reason,
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})
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.collect(),
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usage: Some(response.usage),
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}
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}
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pub async fn stream_completion(
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client: &dyn HttpClient,
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api_url: &str,
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api_key: &str,
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request: Request,
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) -> Result<BoxStream<'static, Result<ResponseStreamEvent>>> {
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if request.model.starts_with("o1") {
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let response = complete(client, api_url, api_key, request).await;
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let response_stream_event = response.map(adapt_response_to_stream);
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return Ok(stream::once(future::ready(response_stream_event)).boxed());
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}
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let uri = format!("{api_url}/chat/completions");
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let request_builder = HttpRequest::builder()
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.method(Method::POST)
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.uri(uri)
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.header("Content-Type", "application/json")
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.header("Authorization", format!("Bearer {}", api_key));
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let request = request_builder.body(AsyncBody::from(serde_json::to_string(&request)?))?;
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let mut response = client.send(request).await?;
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if response.status().is_success() {
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let reader = BufReader::new(response.into_body());
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Ok(reader
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.lines()
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.filter_map(|line| async move {
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match line {
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Ok(line) => {
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let line = line.strip_prefix("data: ")?;
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if line == "[DONE]" {
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None
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} else {
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match serde_json::from_str(line) {
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Ok(ResponseStreamResult::Ok(response)) => Some(Ok(response)),
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Ok(ResponseStreamResult::Err { error }) => {
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Some(Err(anyhow!(error)))
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}
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Err(error) => Some(Err(anyhow!(error))),
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}
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}
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}
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Err(error) => Some(Err(anyhow!(error))),
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}
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})
|
|
.boxed())
|
|
} else {
|
|
let mut body = String::new();
|
|
response.body_mut().read_to_string(&mut body).await?;
|
|
|
|
#[derive(Deserialize)]
|
|
struct OpenAiResponse {
|
|
error: OpenAiError,
|
|
}
|
|
|
|
#[derive(Deserialize)]
|
|
struct OpenAiError {
|
|
message: String,
|
|
}
|
|
|
|
match serde_json::from_str::<OpenAiResponse>(&body) {
|
|
Ok(response) if !response.error.message.is_empty() => Err(anyhow!(
|
|
"Failed to connect to OpenAI API: {}",
|
|
response.error.message,
|
|
)),
|
|
|
|
_ => Err(anyhow!(
|
|
"Failed to connect to OpenAI API: {} {}",
|
|
response.status(),
|
|
body,
|
|
)),
|
|
}
|
|
}
|
|
}
|
|
|
|
#[derive(Copy, Clone, Serialize, Deserialize)]
|
|
pub enum OpenAiEmbeddingModel {
|
|
#[serde(rename = "text-embedding-3-small")]
|
|
TextEmbedding3Small,
|
|
#[serde(rename = "text-embedding-3-large")]
|
|
TextEmbedding3Large,
|
|
}
|
|
|
|
#[derive(Serialize)]
|
|
struct OpenAiEmbeddingRequest<'a> {
|
|
model: OpenAiEmbeddingModel,
|
|
input: Vec<&'a str>,
|
|
}
|
|
|
|
#[derive(Deserialize)]
|
|
pub struct OpenAiEmbeddingResponse {
|
|
pub data: Vec<OpenAiEmbedding>,
|
|
}
|
|
|
|
#[derive(Deserialize)]
|
|
pub struct OpenAiEmbedding {
|
|
pub embedding: Vec<f32>,
|
|
}
|
|
|
|
pub fn embed<'a>(
|
|
client: &dyn HttpClient,
|
|
api_url: &str,
|
|
api_key: &str,
|
|
model: OpenAiEmbeddingModel,
|
|
texts: impl IntoIterator<Item = &'a str>,
|
|
) -> impl 'static + Future<Output = Result<OpenAiEmbeddingResponse>> {
|
|
let uri = format!("{api_url}/embeddings");
|
|
|
|
let request = OpenAiEmbeddingRequest {
|
|
model,
|
|
input: texts.into_iter().collect(),
|
|
};
|
|
let body = AsyncBody::from(serde_json::to_string(&request).unwrap());
|
|
let request = HttpRequest::builder()
|
|
.method(Method::POST)
|
|
.uri(uri)
|
|
.header("Content-Type", "application/json")
|
|
.header("Authorization", format!("Bearer {}", api_key))
|
|
.body(body)
|
|
.map(|request| client.send(request));
|
|
|
|
async move {
|
|
let mut response = request?.await?;
|
|
let mut body = String::new();
|
|
response.body_mut().read_to_string(&mut body).await?;
|
|
|
|
if response.status().is_success() {
|
|
let response: OpenAiEmbeddingResponse =
|
|
serde_json::from_str(&body).context("failed to parse OpenAI embedding response")?;
|
|
Ok(response)
|
|
} else {
|
|
Err(anyhow!(
|
|
"error during embedding, status: {:?}, body: {:?}",
|
|
response.status(),
|
|
body
|
|
))
|
|
}
|
|
}
|
|
}
|
|
|
|
pub async fn extract_tool_args_from_events(
|
|
tool_name: String,
|
|
mut events: Pin<Box<dyn Send + Stream<Item = Result<ResponseStreamEvent>>>>,
|
|
) -> Result<impl Send + Stream<Item = Result<String>>> {
|
|
let mut tool_use_index = None;
|
|
let mut first_chunk = None;
|
|
while let Some(event) = events.next().await {
|
|
let call = event?.choices.into_iter().find_map(|choice| {
|
|
choice.delta.tool_calls?.into_iter().find_map(|call| {
|
|
if call.function.as_ref()?.name.as_deref()? == tool_name {
|
|
Some(call)
|
|
} else {
|
|
None
|
|
}
|
|
})
|
|
});
|
|
if let Some(call) = call {
|
|
tool_use_index = Some(call.index);
|
|
first_chunk = call.function.and_then(|func| func.arguments);
|
|
break;
|
|
}
|
|
}
|
|
|
|
let Some(tool_use_index) = tool_use_index else {
|
|
return Err(anyhow!("tool not used"));
|
|
};
|
|
|
|
Ok(events.filter_map(move |event| {
|
|
let result = match event {
|
|
Err(error) => Some(Err(error)),
|
|
Ok(ResponseStreamEvent { choices, .. }) => choices.into_iter().find_map(|choice| {
|
|
choice.delta.tool_calls?.into_iter().find_map(|call| {
|
|
if call.index == tool_use_index {
|
|
let func = call.function?;
|
|
let mut arguments = func.arguments?;
|
|
if let Some(mut first_chunk) = first_chunk.take() {
|
|
first_chunk.push_str(&arguments);
|
|
arguments = first_chunk
|
|
}
|
|
Some(Ok(arguments))
|
|
} else {
|
|
None
|
|
}
|
|
})
|
|
}),
|
|
};
|
|
|
|
async move { result }
|
|
}))
|
|
}
|
|
|
|
pub fn extract_text_from_events(
|
|
response: impl Stream<Item = Result<ResponseStreamEvent>>,
|
|
) -> impl Stream<Item = Result<String>> {
|
|
response.filter_map(|response| async move {
|
|
match response {
|
|
Ok(mut response) => Some(Ok(response.choices.pop()?.delta.content?)),
|
|
Err(error) => Some(Err(error)),
|
|
}
|
|
})
|
|
}
|