In this pull request, we change the zed.dev protocol so that we pass the
raw JSON for the specified provider directly to our server. This avoids
the need to define a protobuf message that's a superset of all these
formats.
@bennetbo: We also changed the settings for available_models under
zed.dev to be a flat format, because the nesting seemed too confusing.
Can you help us upgrade the local provider configuration to be
consistent with this? We do whatever we need to do when parsing the
settings to make this simple for users, even if it's a bit more complex
on our end. We want to use versioning to avoid breaking existing users,
but need to keep making progress.
```json
"zed.dev": {
"available_models": [
{
"provider": "anthropic",
"name": "some-newly-released-model-we-havent-added",
"max_tokens": 200000
}
]
}
```
Release Notes:
- N/A
---------
Co-authored-by: Nathan <nathan@zed.dev>
372 lines
11 KiB
Rust
372 lines
11 KiB
Rust
use anyhow::{anyhow, Context, Result};
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use futures::{io::BufReader, stream::BoxStream, AsyncBufReadExt, AsyncReadExt, Stream, StreamExt};
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use http_client::{AsyncBody, HttpClient, Method, Request as HttpRequest};
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use isahc::config::Configurable;
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use serde::{Deserialize, Serialize};
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use serde_json::{Map, Value};
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use std::{convert::TryFrom, future::Future, time::Duration};
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use strum::EnumIter;
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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-0613")]
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ThreePointFiveTurbo,
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#[serde(rename = "gpt-4", alias = "gpt-4-0613")]
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Four,
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#[serde(rename = "gpt-4-turbo-preview", alias = "gpt-4-1106-preview")]
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FourTurbo,
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#[serde(rename = "gpt-4o", alias = "gpt-4o-2024-05-13")]
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#[default]
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FourOmni,
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#[serde(rename = "gpt-4o-mini", alias = "gpt-4o-mini-2024-07-18")]
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FourOmniMini,
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#[serde(rename = "custom")]
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Custom { name: String, max_tokens: usize },
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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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_ => 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-preview",
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Self::FourOmni => "gpt-4o",
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Self::FourOmniMini => "gpt-4o-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::Custom { name, .. } => 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 => 4096,
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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::Custom { max_tokens, .. } => *max_tokens,
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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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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<String>,
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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, Deserialize, Serialize)]
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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<Map<String, Value>>,
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}
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#[derive(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(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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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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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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low_speed_timeout: Option<Duration>,
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) -> Result<BoxStream<'static, Result<ResponseStreamEvent>>> {
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let uri = format!("{api_url}/chat/completions");
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let mut 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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if let Some(low_speed_timeout) = low_speed_timeout {
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request_builder = request_builder.low_speed_timeout(100, low_speed_timeout);
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};
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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(response) => Some(Ok(response)),
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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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})
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.boxed())
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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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#[derive(Copy, Clone, Serialize, Deserialize)]
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pub enum OpenAiEmbeddingModel {
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#[serde(rename = "text-embedding-3-small")]
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TextEmbedding3Small,
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#[serde(rename = "text-embedding-3-large")]
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TextEmbedding3Large,
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}
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#[derive(Serialize)]
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struct OpenAiEmbeddingRequest<'a> {
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model: OpenAiEmbeddingModel,
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input: Vec<&'a str>,
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}
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#[derive(Deserialize)]
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pub struct OpenAiEmbeddingResponse {
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pub data: Vec<OpenAiEmbedding>,
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}
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#[derive(Deserialize)]
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pub struct OpenAiEmbedding {
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pub embedding: Vec<f32>,
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}
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pub fn embed<'a>(
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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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model: OpenAiEmbeddingModel,
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texts: impl IntoIterator<Item = &'a str>,
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) -> impl 'static + Future<Output = Result<OpenAiEmbeddingResponse>> {
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let uri = format!("{api_url}/embeddings");
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let request = OpenAiEmbeddingRequest {
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model,
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input: texts.into_iter().collect(),
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};
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let body = AsyncBody::from(serde_json::to_string(&request).unwrap());
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let request = 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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.body(body)
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.map(|request| client.send(request));
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async move {
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let mut response = request?.await?;
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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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if response.status().is_success() {
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let response: OpenAiEmbeddingResponse =
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serde_json::from_str(&body).context("failed to parse OpenAI embedding response")?;
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Ok(response)
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} else {
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Err(anyhow!(
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"error during embedding, status: {:?}, body: {:?}",
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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 fn extract_text_from_events(
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response: impl Stream<Item = Result<ResponseStreamEvent>>,
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) -> impl Stream<Item = Result<String>> {
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response.filter_map(|response| async move {
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match response {
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Ok(mut response) => Some(Ok(response.choices.pop()?.delta.content?)),
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Err(error) => Some(Err(error)),
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}
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})
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}
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