assistant: Make it easier to define custom models (#15442)
This PR makes it easier to specify custom models for the Google, OpenAI, and Anthropic provider: Before (google): ```json { "language_models": { "google": { "available_models": [ { "custom": { "name": "my-custom-google-model", "max_tokens": 12345 } } ] } } } ``` After (google): ```json { "language_models": { "google": { "available_models": [ { "name": "my-custom-google-model", "max_tokens": 12345 } ] } } } ``` Before (anthropic): ```json { "language_models": { "anthropic": { "available_models": [ { "custom": { "name": "my-custom-anthropic-model", "max_tokens": 12345 } } ] } } } ``` After (anthropic): ```json { "language_models": { "anthropic": { "version": "1", "available_models": [ { "name": "my-custom-anthropic-model", "max_tokens": 12345 } ] } } } ``` The settings will be auto-upgraded so the old versions will continue to work (except for Google since that one has not been released). /cc @as-cii Release Notes: - N/A --------- Co-authored-by: Thorsten <thorsten@zed.dev>
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13dcb42c1c
commit
2ada2964c5
10 changed files with 256 additions and 47 deletions
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@ -1,12 +1,14 @@
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use std::time::Duration;
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use std::{sync::Arc, time::Duration};
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use anyhow::Result;
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use gpui::AppContext;
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use project::Fs;
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use schemars::JsonSchema;
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use serde::{Deserialize, Serialize};
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use settings::{Settings, SettingsSources};
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use settings::{update_settings_file, Settings, SettingsSources};
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use crate::provider::{
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self,
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anthropic::AnthropicSettings,
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cloud::{self, ZedDotDevSettings},
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copilot_chat::CopilotChatSettings,
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@ -16,8 +18,36 @@ use crate::provider::{
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};
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/// Initializes the language model settings.
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pub fn init(cx: &mut AppContext) {
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pub fn init(fs: Arc<dyn Fs>, cx: &mut AppContext) {
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AllLanguageModelSettings::register(cx);
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if AllLanguageModelSettings::get_global(cx)
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.openai
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.needs_setting_migration
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{
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update_settings_file::<AllLanguageModelSettings>(fs.clone(), cx, move |setting, _| {
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if let Some(settings) = setting.openai.clone() {
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let (newest_version, _) = settings.upgrade();
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setting.openai = Some(OpenAiSettingsContent::Versioned(
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VersionedOpenAiSettingsContent::V1(newest_version),
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));
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}
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});
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}
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if AllLanguageModelSettings::get_global(cx)
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.anthropic
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.needs_setting_migration
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{
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update_settings_file::<AllLanguageModelSettings>(fs, cx, move |setting, _| {
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if let Some(settings) = setting.anthropic.clone() {
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let (newest_version, _) = settings.upgrade();
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setting.anthropic = Some(AnthropicSettingsContent::Versioned(
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VersionedAnthropicSettingsContent::V1(newest_version),
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));
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}
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});
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}
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}
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#[derive(Default)]
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@ -41,31 +71,129 @@ pub struct AllLanguageModelSettingsContent {
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pub copilot_chat: Option<CopilotChatSettingsContent>,
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}
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#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct AnthropicSettingsContent {
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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#[serde(untagged)]
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pub enum AnthropicSettingsContent {
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Legacy(LegacyAnthropicSettingsContent),
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Versioned(VersionedAnthropicSettingsContent),
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}
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impl AnthropicSettingsContent {
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pub fn upgrade(self) -> (AnthropicSettingsContentV1, bool) {
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match self {
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AnthropicSettingsContent::Legacy(content) => (
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AnthropicSettingsContentV1 {
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api_url: content.api_url,
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low_speed_timeout_in_seconds: content.low_speed_timeout_in_seconds,
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available_models: content.available_models.map(|models| {
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models
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.into_iter()
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.filter_map(|model| match model {
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anthropic::Model::Custom { name, max_tokens } => {
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Some(provider::anthropic::AvailableModel { name, max_tokens })
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}
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_ => None,
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})
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.collect()
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}),
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},
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true,
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),
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AnthropicSettingsContent::Versioned(content) => match content {
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VersionedAnthropicSettingsContent::V1(content) => (content, false),
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},
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}
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}
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct LegacyAnthropicSettingsContent {
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pub api_url: Option<String>,
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pub low_speed_timeout_in_seconds: Option<u64>,
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pub available_models: Option<Vec<anthropic::Model>>,
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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#[serde(tag = "version")]
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pub enum VersionedAnthropicSettingsContent {
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#[serde(rename = "1")]
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V1(AnthropicSettingsContentV1),
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct AnthropicSettingsContentV1 {
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pub api_url: Option<String>,
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pub low_speed_timeout_in_seconds: Option<u64>,
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pub available_models: Option<Vec<provider::anthropic::AvailableModel>>,
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}
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#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct OllamaSettingsContent {
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pub api_url: Option<String>,
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pub low_speed_timeout_in_seconds: Option<u64>,
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}
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#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct OpenAiSettingsContent {
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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#[serde(untagged)]
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pub enum OpenAiSettingsContent {
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Legacy(LegacyOpenAiSettingsContent),
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Versioned(VersionedOpenAiSettingsContent),
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}
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impl OpenAiSettingsContent {
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pub fn upgrade(self) -> (OpenAiSettingsContentV1, bool) {
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match self {
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OpenAiSettingsContent::Legacy(content) => (
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OpenAiSettingsContentV1 {
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api_url: content.api_url,
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low_speed_timeout_in_seconds: content.low_speed_timeout_in_seconds,
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available_models: content.available_models.map(|models| {
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models
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.into_iter()
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.filter_map(|model| match model {
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open_ai::Model::Custom { name, max_tokens } => {
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Some(provider::open_ai::AvailableModel { name, max_tokens })
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}
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_ => None,
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})
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.collect()
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}),
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},
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true,
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),
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OpenAiSettingsContent::Versioned(content) => match content {
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VersionedOpenAiSettingsContent::V1(content) => (content, false),
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},
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}
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}
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct LegacyOpenAiSettingsContent {
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pub api_url: Option<String>,
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pub low_speed_timeout_in_seconds: Option<u64>,
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pub available_models: Option<Vec<open_ai::Model>>,
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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#[serde(tag = "version")]
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pub enum VersionedOpenAiSettingsContent {
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#[serde(rename = "1")]
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V1(OpenAiSettingsContentV1),
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct OpenAiSettingsContentV1 {
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pub api_url: Option<String>,
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pub low_speed_timeout_in_seconds: Option<u64>,
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pub available_models: Option<Vec<provider::open_ai::AvailableModel>>,
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}
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#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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pub struct GoogleSettingsContent {
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pub api_url: Option<String>,
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pub low_speed_timeout_in_seconds: Option<u64>,
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pub available_models: Option<Vec<google_ai::Model>>,
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pub available_models: Option<Vec<provider::google::AvailableModel>>,
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}
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#[derive(Default, Clone, Debug, Serialize, Deserialize, PartialEq, JsonSchema)]
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@ -81,6 +209,8 @@ pub struct CopilotChatSettingsContent {
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impl settings::Settings for AllLanguageModelSettings {
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const KEY: Option<&'static str> = Some("language_models");
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const PRESERVED_KEYS: Option<&'static [&'static str]> = Some(&["version"]);
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type FileContent = AllLanguageModelSettingsContent;
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fn load(sources: SettingsSources<Self::FileContent>, _: &mut AppContext) -> Result<Self> {
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@ -93,12 +223,21 @@ impl settings::Settings for AllLanguageModelSettings {
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let mut settings = AllLanguageModelSettings::default();
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for value in sources.defaults_and_customizations() {
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// Anthropic
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let (anthropic, upgraded) = match value.anthropic.clone().map(|s| s.upgrade()) {
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Some((content, upgraded)) => (Some(content), upgraded),
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None => (None, false),
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};
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if upgraded {
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settings.anthropic.needs_setting_migration = true;
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}
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merge(
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&mut settings.anthropic.api_url,
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value.anthropic.as_ref().and_then(|s| s.api_url.clone()),
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anthropic.as_ref().and_then(|s| s.api_url.clone()),
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);
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if let Some(low_speed_timeout_in_seconds) = value
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.anthropic
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if let Some(low_speed_timeout_in_seconds) = anthropic
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.as_ref()
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.and_then(|s| s.low_speed_timeout_in_seconds)
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{
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@ -107,10 +246,7 @@ impl settings::Settings for AllLanguageModelSettings {
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}
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merge(
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&mut settings.anthropic.available_models,
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value
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.anthropic
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.as_ref()
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.and_then(|s| s.available_models.clone()),
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anthropic.as_ref().and_then(|s| s.available_models.clone()),
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);
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merge(
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Some(Duration::from_secs(low_speed_timeout_in_seconds));
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}
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// OpenAI
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let (openai, upgraded) = match value.openai.clone().map(|s| s.upgrade()) {
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Some((content, upgraded)) => (Some(content), upgraded),
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None => (None, false),
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};
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if upgraded {
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settings.openai.needs_setting_migration = true;
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}
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merge(
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&mut settings.openai.api_url,
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value.openai.as_ref().and_then(|s| s.api_url.clone()),
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openai.as_ref().and_then(|s| s.api_url.clone()),
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);
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if let Some(low_speed_timeout_in_seconds) = value
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.openai
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.as_ref()
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.and_then(|s| s.low_speed_timeout_in_seconds)
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if let Some(low_speed_timeout_in_seconds) =
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openai.as_ref().and_then(|s| s.low_speed_timeout_in_seconds)
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{
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settings.openai.low_speed_timeout =
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Some(Duration::from_secs(low_speed_timeout_in_seconds));
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}
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merge(
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&mut settings.openai.available_models,
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value
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.openai
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.as_ref()
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.and_then(|s| s.available_models.clone()),
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openai.as_ref().and_then(|s| s.available_models.clone()),
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);
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merge(
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