feat: Support mistral anthropic for ai (#4692)

* wip: openai proxy and other ai proxy integration

* fixing migration script

* wip: support different ai provider in front, fix proxy openai

* wip: adding frontend ai provider

* updated copilot types

* wip: working on anthropic integration

* done AI proxy front

* adding new type and support for anthropic

* updating gitignore

* adding streaming response

* added streaming prompt

* push lib/gen

* wip: fixing anthropic

* anthropic fully supported

* fix backend missing var error and fully support stream event for anthropic

* remove gen directory

* fixing openapi file

* add support for mistral, and update create workspace components

* remove deref.json

* remove package-json

* openapi

* fix ui enable code

* added utility function for init workspace ai provider

* fix workspace switch bug

* update anthropic property and fixed frontend error

* fix workspace settings

* update error message and fix typo migration file

* chore: update openapi file

* fix dev file

* add .sqlx

* all

* update sqlx

---------

Co-authored-by: dieriba <t.dieriba@gmail.com>
Co-authored-by: Ruben Fiszel <ruben@windmill.dev>
Co-authored-by: Ruben Fiszel <ruben@rubenfiszel.com>
This commit is contained in:
dieriba
2024-11-15 11:29:52 -05:00
committed by Alexander Petric
co-authored by dieriba Ruben Fiszel Ruben Fiszel
parent 979baab7d3
commit f8c9237f8a
51 changed files with 1326 additions and 667 deletions
+507
View File
@@ -0,0 +1,507 @@
use crate::{
db::{ApiAuthed, DB},
variables::decrypt,
};
use anthropic::AnthropicCache;
use axum::{
body::Bytes,
extract::{Path, Query},
response::IntoResponse,
routing::post,
Extension, Router,
};
use lazy_static::lazy_static;
use mistral::MistralCache;
use openai::OpenaiCache;
use quick_cache::sync::Cache;
use reqwest::{Client, RequestBuilder};
use serde::{Deserialize, Deserializer};
use windmill_audit::audit_ee::audit_log;
use windmill_audit::ActionKind;
use windmill_common::error::{to_anyhow, Result};
use windmill_common::variables::build_crypt;
use windmill_common::error::Error;
use serde_json::value::{RawValue, Value};
use std::collections::HashMap;
lazy_static::lazy_static! {
static ref HTTP_CLIENT: Client = reqwest::ClientBuilder::new()
.timeout(std::time::Duration::from_secs(60 * 5))
.user_agent("windmill/beta")
.build().unwrap();
}
trait AiRequest {
fn prepare_request(self, path: &str, body: Bytes) -> Result<RequestBuilder>;
}
mod openai {
use super::*;
use super::{get_variable_or_self, KeyCache};
const API_VERSION: &str = "2023-05-15";
#[derive(Deserialize, Debug)]
struct OpenaiResource {
api_key: String,
organization_id: Option<String>,
}
#[derive(Deserialize, Debug)]
struct OpenaiClientCredentialsOauthResource {
client_id: String,
client_secret: String,
token_url: String,
user: Option<String>,
}
#[derive(Deserialize, Debug)]
#[serde(untagged, rename_all = "snake_case")]
enum OpenaiConfig {
Resource(OpenaiResource),
ClientCredentialsOauthResource(OpenaiClientCredentialsOauthResource),
}
lazy_static::lazy_static! {
pub static ref OPENAI_AZURE_BASE_PATH: Option<String> = std::env::var("OPENAI_AZURE_BASE_PATH").ok();
}
#[derive(Deserialize, Debug)]
struct OpenaiCredentials {
access_token: String,
}
#[derive(Clone, Debug, Deserialize)]
pub struct OpenaiCache {
api_key: String,
organization_id: Option<String>,
azure_base_path: Option<String>,
user: Option<String>,
}
impl OpenaiCache {
pub fn new(
api_key: String,
organization_id: Option<String>,
azure_base_path: Option<String>,
user: Option<String>,
) -> Self {
Self { api_key, organization_id, azure_base_path, user }
}
}
const BASE_URL: &str = "https://api.openai.com/v1";
impl AiRequest for OpenaiCache {
fn prepare_request(self, openai_path: &str, mut body: Bytes) -> Result<RequestBuilder> {
let OpenaiCache { api_key, azure_base_path, organization_id, user } = self;
if user.is_some() {
tracing::debug!("Adding user to request body");
let mut json_body: HashMap<String, Box<RawValue>> = serde_json::from_slice(&body)
.map_err(|e| {
Error::InternalErr(format!("Failed to parse request body: {}", e))
})?;
let user_json_string = serde_json::Value::String(user.unwrap()).to_string(); // makes sure to escape characters
json_body.insert(
"user".to_string(),
RawValue::from_string(user_json_string)
.map_err(|e| Error::InternalErr(format!("Failed to parse user: {}", e)))?,
);
body = serde_json::to_vec(&json_body)
.map_err(|e| {
Error::InternalErr(format!("Failed to reserialize request body: {}", e))
})?
.into();
}
let base_url = if let Some(base_url) = azure_base_path {
base_url
} else {
BASE_URL.to_string()
};
let url = format!("{}/{}", base_url, openai_path);
let mut request = HTTP_CLIENT
.post(url)
.header("content-type", "application/json")
.body(body);
if base_url != BASE_URL {
request = request
.header("api-key", api_key)
.query(&[("api-version", API_VERSION)])
} else {
request = request.header("authorization", format!("Bearer {}", api_key))
}
if let Some(org_id) = organization_id {
request = request.header("OpenAI-Organization", org_id);
}
Ok(request)
}
}
async fn get_openai_key_using_credentials_flow(
mut resource: OpenaiClientCredentialsOauthResource,
db: &DB,
w_id: &str,
) -> Result<String> {
resource.client_id = get_variable_or_self(resource.client_id, db, w_id).await?;
resource.client_secret = get_variable_or_self(resource.client_secret, db, w_id).await?;
resource.token_url = get_variable_or_self(resource.token_url, db, w_id).await?;
let mut params = HashMap::new();
params.insert("grant_type", "client_credentials");
let response = HTTP_CLIENT
.post(resource.token_url)
.form(&params)
.basic_auth(resource.client_id, Some(resource.client_secret))
.send()
.await
.map_err(|err| {
Error::InternalErr(format!(
"Failed to get OpenAI credentials using credentials flow: {}",
err
))
})?;
let response = response.json::<OpenaiCredentials>().await.map_err(|err| {
Error::InternalErr(format!(
"Failed to parse OpenAI credentials from credentials flow: {}",
err
))
})?;
Ok(response.access_token)
}
pub async fn get_cached_value(db: &DB, w_id: &str, resource: Value) -> Result<KeyCache> {
let config = serde_json::from_value(resource)
.map_err(|e| Error::InternalErr(format!("validating openai resource {e:#}")))?;
let mut user = None::<String>;
let mut resource = match config {
OpenaiConfig::Resource(resource) => {
tracing::debug!("Getting OpenAI key from static resource");
resource
}
OpenaiConfig::ClientCredentialsOauthResource(resource) => {
tracing::debug!("Getting OpenAI key with client credentials flow");
user = resource.user.clone();
let token = get_openai_key_using_credentials_flow(resource, db, w_id).await?;
OpenaiResource { api_key: token, organization_id: None }
}
};
resource.api_key = get_variable_or_self(resource.api_key, db, w_id).await?;
if let Some(organization_id) = resource.organization_id {
resource.organization_id = Some(get_variable_or_self(organization_id, db, w_id).await?);
}
if user.is_some() {
user = Some(get_variable_or_self(user.unwrap(), db, w_id).await?);
}
let azure_base_path = sqlx::query_scalar!(
"SELECT value
FROM global_settings
WHERE name = 'openai_azure_base_path'",
)
.fetch_optional(db)
.await?;
let azure_base_path = if let Some(azure_base_path) = azure_base_path {
Some(
serde_json::from_value::<String>(azure_base_path).map_err(|e| {
Error::InternalErr(format!("validating openai azure base path {e:#}"))
})?,
)
} else {
OPENAI_AZURE_BASE_PATH.clone()
};
let workspace_cache = OpenaiCache::new(
resource.api_key.clone(),
resource.organization_id.clone(),
azure_base_path.clone(),
user.clone(),
);
Ok(KeyCache::Openai(workspace_cache))
}
}
mod anthropic {
use super::*;
#[derive(Clone, Deserialize, Debug)]
pub struct AnthropicCache {
#[serde(rename = "apiKey")]
pub api_key: String,
}
const API_VERSION: &str = "2023-06-01";
impl AnthropicCache {
pub fn new(api_key: String) -> Self {
Self { api_key }
}
}
const BASE_URL: &str = "https://api.anthropic.com";
impl AiRequest for AnthropicCache {
fn prepare_request(self, anthropic_path: &str, body: Bytes) -> Result<RequestBuilder> {
let AnthropicCache { api_key } = self;
let url = format!("{}/{}", BASE_URL, anthropic_path);
let request = HTTP_CLIENT
.post(url)
.header("x-api-key", api_key)
.header("anthropic-version", API_VERSION)
.header("content-type", "application/json")
.body(body);
Ok(request)
}
}
pub async fn get_cached_value(db: &DB, w_id: &str, resource: Value) -> Result<KeyCache> {
let mut resource: AnthropicCache = serde_json::from_value(resource)
.map_err(|e| Error::InternalErr(format!("validating anthropic resource {e:#}")))?;
resource.api_key = get_variable_or_self(resource.api_key, db, w_id).await?;
let workspace_cache = AnthropicCache::new(resource.api_key);
Ok(KeyCache::Anthropic(workspace_cache))
}
}
mod mistral {
use super::*;
#[derive(Deserialize, Clone, Debug)]
pub struct MistralCache {
#[serde(rename = "apiKey")]
pub api_key: String,
}
impl MistralCache {
pub fn new(api_key: String) -> Self {
Self { api_key }
}
}
const BASE_URL: &str = "https://api.mistral.ai";
impl AiRequest for MistralCache {
fn prepare_request(self, mistral_path: &str, body: Bytes) -> Result<RequestBuilder> {
let MistralCache { api_key } = self;
let url = format!("{}/{}", BASE_URL, mistral_path);
let request = HTTP_CLIENT
.post(url)
.header("content-type", "application/json")
.header("Accept", "application/json")
.header("authorization", format!("Bearer {}", api_key))
.body(body);
Ok(request)
}
}
pub async fn get_cached_value(db: &DB, w_id: &str, resource: Value) -> Result<KeyCache> {
let mut resource: MistralCache = serde_json::from_value(resource)
.map_err(|e| Error::InternalErr(format!("validating mistral resource {e:#}")))?;
resource.api_key = get_variable_or_self(resource.api_key, db, w_id).await?;
let workspace_cache = MistralCache::new(resource.api_key);
Ok(KeyCache::Mistral(workspace_cache))
}
}
#[derive(Clone, Debug)]
pub enum KeyCache {
Openai(OpenaiCache),
Anthropic(AnthropicCache),
Mistral(MistralCache),
}
#[derive(Clone, Debug)]
pub struct AiCache {
pub path: String,
pub cached_key: KeyCache,
pub expires_at: std::time::Instant,
}
impl AiCache {
pub fn new(path: String, cached_key: KeyCache) -> Self {
Self {
path,
cached_key,
expires_at: std::time::Instant::now() + std::time::Duration::from_secs(60),
}
}
fn is_expired(&self) -> bool {
self.expires_at < std::time::Instant::now()
}
}
lazy_static! {
pub static ref AI_KEY_CACHE: Cache<String, AiCache> = Cache::new(500);
}
struct Variable {
value: String,
is_secret: bool,
}
#[derive(Deserialize, Debug)]
struct ProxyQueryParams {
no_cache: Option<bool>,
}
async fn get_variable_or_self(path: String, db: &DB, w_id: &str) -> Result<String> {
if !path.starts_with("$var:") {
return Ok(path);
}
let path = path.strip_prefix("$var:").unwrap().to_string();
let mut variable = sqlx::query_as!(
Variable,
"SELECT value, is_secret
FROM variable
WHERE path = $1 AND workspace_id = $2",
&path,
&w_id
)
.fetch_one(db)
.await?;
if variable.is_secret {
let mc = build_crypt(db, w_id).await?;
variable.value = decrypt(&mc, variable.value)?;
}
Ok(variable.value)
}
#[derive(Deserialize, Debug)]
pub struct AiResource {
pub path: String,
#[serde(deserialize_with = "check_if_valid_ai_provider")]
pub provider: String,
}
fn check_if_valid_ai_provider<'de, D>(provider: D) -> std::result::Result<String, D::Error>
where
D: Deserializer<'de>,
{
let provider = String::deserialize(provider)?;
match provider.as_str() {
"anthropic" | "openai" | "mistral" => Ok(provider),
_ => Err(serde::de::Error::custom(
"Only the following Ai providers are supported: openai, anthropic and mistral"
.to_string(),
)),
}
}
pub fn workspaced_service() -> Router {
let router = Router::new().route("/proxy/*ai", post(proxy));
router
}
async fn proxy(
authed: ApiAuthed,
Extension(db): Extension<DB>,
Path((w_id, ai_path)): Path<(String, String)>,
Query(query_params): Query<ProxyQueryParams>,
body: Bytes,
) -> impl IntoResponse {
let workspace_cache = AI_KEY_CACHE.get(&w_id);
let ai_cache = match workspace_cache {
Some(cache) if !cache.is_expired() && !query_params.no_cache.unwrap_or(false) => {
cache.cached_key
}
_ => {
let ai_resource = sqlx::query_scalar!(
"SELECT ai_resource FROM workspace_settings WHERE workspace_id = $1",
&w_id
)
.fetch_one(&db)
.await?;
if ai_resource.is_none() {
return Err(Error::InternalErr("AI resource not configured".to_string()));
}
let ai_resource = serde_json::from_value::<AiResource>(ai_resource.unwrap())
.map_err(|e| Error::BadRequest(e.to_string()))?;
let ai_resource_path = ai_resource.path;
let resource = sqlx::query_scalar!(
"SELECT value
FROM resource
WHERE path = $1 AND workspace_id = $2",
&ai_resource_path,
&w_id
)
.fetch_optional(&db)
.await?
.ok_or_else(|| {
Error::InternalErr(format!(
"Could not find the {} resource at path {ai_resource_path}, update the resource path in the workspace settings", ai_resource.provider
))
})?;
if resource.is_none() {
return Err(Error::InternalErr(format!(
"{} resource missing value",
ai_resource.provider
)));
}
let resource = resource.unwrap();
let ai_cache = match ai_resource.provider.as_str() {
"openai" => openai::get_cached_value(&db, &w_id, resource).await,
"anthropic" => anthropic::get_cached_value(&db, &w_id, resource).await,
"mistral" => mistral::get_cached_value(&db, &w_id, resource).await,
provider => {
return Err(Error::BadRequest(format!("{} is not supported", provider)))
}
};
let ai_cache = ai_cache?;
AI_KEY_CACHE.insert(
w_id.clone(),
AiCache::new(ai_resource_path, ai_cache.clone()),
);
ai_cache
}
};
let (path, request) = match ai_cache {
KeyCache::Openai(cached) => ("openai_path", cached.prepare_request(&ai_path, body)),
KeyCache::Anthropic(cached) => ("anthropic_path", cached.prepare_request(&ai_path, body)),
KeyCache::Mistral(cached) => ("mistral_path", cached.prepare_request(&ai_path, body)),
};
let response = request?.send().await.map_err(to_anyhow)?;
let mut tx = db.begin().await?;
audit_log(
&mut *tx,
&authed,
"ai.request",
ActionKind::Execute,
&w_id,
Some(&authed.email),
Some([(path, &format!("{:?}", ai_path)[..])].into()),
)
.await?;
tx.commit().await?;
if response.error_for_status_ref().is_err() {
let err_msg = response.text().await.unwrap_or("".to_string());
return Err(Error::AiError(err_msg));
}
let status_code = response.status();
let headers = response.headers().clone();
let stream = response.bytes_stream();
Ok((status_code, headers, axum::body::Body::from_stream(stream)))
}
+4 -2
View File
@@ -62,13 +62,14 @@ mod http_triggers;
mod indexer_ee;
mod inputs;
mod integration;
mod ai;
#[cfg(feature = "parquet")]
mod job_helpers_ee;
pub mod job_metrics;
pub mod jobs;
pub mod oauth2_ee;
mod oidc_ee;
mod openai;
mod raw_apps;
mod resources;
mod saml_ee;
@@ -94,6 +95,7 @@ mod workspaces_ee;
pub const DEFAULT_BODY_LIMIT: usize = 2097152 * 100; // 200MB
lazy_static::lazy_static! {
pub static ref REQUEST_SIZE_LIMIT: Arc<RwLock<usize>> = Arc::new(RwLock::new(DEFAULT_BODY_LIMIT));
@@ -278,7 +280,7 @@ pub async fn run_server(
.nest("/job_helpers", job_helpers_service)
.nest("/jobs", jobs::workspaced_service())
.nest("/oauth", oauth2_ee::workspaced_service())
.nest("/openai", openai::workspaced_service())
.nest("/ai", ai::workspaced_service())
.nest("/raw_apps", raw_apps::workspaced_service())
.nest("/resources", resources::workspaced_service())
.nest("/schedules", schedule::workspaced_service())
-344
View File
@@ -1,344 +0,0 @@
use std::collections::HashMap;
use crate::db::{ApiAuthed, DB};
use axum::{
body::Bytes,
extract::{Extension, Path, Query},
response::IntoResponse,
routing::post,
Router,
};
use quick_cache::sync::Cache;
use reqwest::Client;
use serde_json::value::RawValue;
use windmill_audit::audit_ee::audit_log;
use windmill_audit::ActionKind;
use windmill_common::{
error::{to_anyhow, Error},
variables::build_crypt,
};
use crate::variables::decrypt;
use serde::Deserialize;
lazy_static::lazy_static! {
static ref HTTP_CLIENT: Client = reqwest::ClientBuilder::new()
.timeout(std::time::Duration::from_secs(60 * 5))
.user_agent("windmill/beta")
.build().unwrap();
}
pub fn workspaced_service() -> Router {
let router = Router::new().route("/proxy/*openai_path", post(proxy));
router
}
#[derive(Deserialize)]
struct OpenaiResource {
api_key: String,
organization_id: Option<String>,
}
#[derive(Deserialize)]
struct OpenaiClientCredentialsOauthResource {
client_id: String,
client_secret: String,
token_url: String,
user: Option<String>,
}
#[derive(Deserialize)]
#[serde(untagged)]
enum OpenaiConfig {
Resource(OpenaiResource),
ClientCredentialsOauthResource(OpenaiClientCredentialsOauthResource),
}
struct Variable {
value: String,
is_secret: bool,
}
async fn get_variable_or_self(path: String, db: &DB, w_id: &String) -> Result<String, Error> {
if !path.starts_with("$var:") {
return Ok(path);
}
let path = path.strip_prefix("$var:").unwrap().to_string();
let mut variable = sqlx::query_as!(
Variable,
"SELECT value, is_secret
FROM variable
WHERE path = $1 AND workspace_id = $2",
&path,
&w_id
)
.fetch_one(db)
.await?;
if variable.is_secret {
let mc = build_crypt(&db, &w_id).await?;
variable.value = decrypt(&mc, variable.value)?;
}
Ok(variable.value)
}
lazy_static::lazy_static! {
pub static ref OPENAI_AZURE_BASE_PATH: Option<String> = std::env::var("OPENAI_AZURE_BASE_PATH").ok();
static ref OPENAI_KEY_CACHE: Cache<String, OpenaiKeyCache> = Cache::new(500);
}
#[derive(Deserialize)]
struct OpenaiCredentials {
access_token: String,
}
async fn get_openai_key_using_credentials_flow(
mut resource: OpenaiClientCredentialsOauthResource,
db: &DB,
w_id: &String,
) -> Result<String, Error> {
resource.client_id = get_variable_or_self(resource.client_id, &db, &w_id).await?;
resource.client_secret = get_variable_or_self(resource.client_secret, &db, &w_id).await?;
resource.token_url = get_variable_or_self(resource.token_url, &db, &w_id).await?;
let mut params = HashMap::new();
params.insert("grant_type", "client_credentials");
let response = HTTP_CLIENT
.post(resource.token_url)
.form(&params)
.basic_auth(resource.client_id, Some(resource.client_secret))
.send()
.await
.map_err(|err| {
Error::InternalErr(format!(
"Failed to get OpenAI credentials using credentials flow: {}",
err
))
})?;
let response = response.json::<OpenaiCredentials>().await.map_err(|err| {
Error::InternalErr(format!(
"Failed to parse OpenAI credentials from credentials flow: {}",
err
))
})?;
Ok(response.access_token)
}
#[derive(Clone)]
struct OpenaiKeyCache {
api_key: String,
organization_id: Option<String>,
azure_base_path: Option<String>,
user: Option<String>,
expires_at: std::time::Instant,
}
impl OpenaiKeyCache {
fn new(
api_key: String,
organization_id: Option<String>,
azure_base_path: Option<String>,
expires_at: std::time::Instant,
user: Option<String>,
) -> Self {
Self { api_key, organization_id, azure_base_path, expires_at, user }
}
fn is_expired(&self) -> bool {
self.expires_at < std::time::Instant::now()
}
}
#[derive(Deserialize)]
struct ProxyQueryParams {
no_cache: Option<bool>,
}
async fn proxy(
authed: ApiAuthed,
Extension(db): Extension<DB>,
Path((w_id, openai_path)): Path<(String, String)>,
Query(query_params): Query<ProxyQueryParams>,
mut body: Bytes,
) -> impl IntoResponse {
let workspace_cache = OPENAI_KEY_CACHE.get(&w_id);
let (api_key, organization_id, azure_base_path, user) = if query_params
.no_cache
.unwrap_or(false)
|| workspace_cache.is_none()
|| workspace_cache.clone().unwrap().is_expired()
{
let openai_resource_path = sqlx::query_scalar!(
"SELECT openai_resource_path FROM workspace_settings WHERE workspace_id = $1",
&w_id
)
.fetch_one(&db)
.await?;
if openai_resource_path.is_none() {
return Err(Error::InternalErr(
"OpenAI resource not configured".to_string(),
));
}
let openai_resource_path = openai_resource_path.unwrap();
let resource = sqlx::query_scalar!(
"SELECT value
FROM resource
WHERE path = $1 AND workspace_id = $2",
&openai_resource_path,
&w_id
)
.fetch_optional(&db)
.await?
.ok_or_else(|| {
Error::InternalErr(format!(
"Could not find the OpenAI resource at path {openai_resource_path}, update the resource path in the workspace settings"
))
})?;
if resource.is_none() {
return Err(Error::InternalErr(
"OpenAI resource missing value".to_string(),
));
}
let config: OpenaiConfig = serde_json::from_value(resource.unwrap())
.map_err(|e| Error::InternalErr(format!("validating openai resource {e:#}")))?;
let mut user = None::<String>;
let mut resource = match config {
OpenaiConfig::Resource(resource) => {
tracing::debug!("Getting OpenAI key from static resource");
resource
}
OpenaiConfig::ClientCredentialsOauthResource(resource) => {
tracing::debug!("Getting OpenAI key with client credentials flow");
user = resource.user.clone();
let token = get_openai_key_using_credentials_flow(resource, &db, &w_id).await?;
OpenaiResource { api_key: token, organization_id: None }
}
};
resource.api_key = get_variable_or_self(resource.api_key, &db, &w_id).await?;
if resource.organization_id.is_some() {
resource.organization_id =
Some(get_variable_or_self(resource.organization_id.unwrap(), &db, &w_id).await?);
}
if user.is_some() {
user = Some(get_variable_or_self(user.unwrap(), &db, &w_id).await?);
}
let expires_at = std::time::Instant::now() + std::time::Duration::from_secs(60);
let azure_base_path = sqlx::query_scalar!(
"SELECT value
FROM global_settings
WHERE name = 'openai_azure_base_path'",
)
.fetch_optional(&db)
.await?;
let azure_base_path = if let Some(azure_base_path) = azure_base_path {
Some(
serde_json::from_value::<String>(azure_base_path).map_err(|e| {
Error::InternalErr(format!("validating openai azure base path {e:#}"))
})?,
)
} else {
OPENAI_AZURE_BASE_PATH.clone()
};
let workspace_cache = OpenaiKeyCache::new(
resource.api_key.clone(),
resource.organization_id.clone(),
azure_base_path.clone(),
expires_at,
user.clone(),
);
OPENAI_KEY_CACHE.insert(w_id.clone(), workspace_cache);
(
resource.api_key,
resource.organization_id,
azure_base_path,
user,
)
} else {
tracing::debug!("Using cached OpenAI key");
let workspace_cache = workspace_cache.unwrap();
(
workspace_cache.api_key.clone(),
workspace_cache.organization_id.clone(),
workspace_cache.azure_base_path.clone(),
workspace_cache.user.clone(),
)
};
if user.is_some() {
tracing::debug!("Adding user to request body");
let mut json_body: HashMap<String, Box<RawValue>> = serde_json::from_slice(&body)
.map_err(|e| Error::InternalErr(format!("Failed to parse request body: {}", e)))?;
let user_json_string = serde_json::Value::String(user.unwrap()).to_string(); // makes sure to escape characters
json_body.insert(
"user".to_string(),
RawValue::from_string(user_json_string)
.map_err(|e| Error::InternalErr(format!("Failed to parse user: {}", e)))?,
);
body = serde_json::to_vec(&json_body)
.map_err(|e| Error::InternalErr(format!("Failed to reserialize request body: {}", e)))?
.into();
}
let base_url = if let Some(base_url) = azure_base_path {
base_url
} else {
"https://api.openai.com/v1".to_string()
};
let url = format!("{}/{}", base_url, openai_path);
let mut request = HTTP_CLIENT
.post(url)
.header("content-type", "application/json")
.body(body);
if base_url != "https://api.openai.com/v1" {
request = request
.header("api-key", api_key)
.query(&[("api-version", "2023-05-15")])
} else {
request = request.header("authorization", format!("Bearer {}", api_key))
}
if let Some(org_id) = organization_id {
request = request.header("OpenAI-Organization", org_id);
}
let response = request.send().await.map_err(to_anyhow)?;
let mut tx = db.begin().await?;
audit_log(
&mut *tx,
&authed,
"openai.request",
ActionKind::Execute,
&w_id,
Some(&authed.email),
Some([("openai_path", &format!("{:?}", openai_path)[..])].into()),
)
.await?;
tx.commit().await?;
if response.error_for_status_ref().is_err() {
return Err(Error::OpenAIError(
response.text().await.unwrap_or("".to_string()),
));
}
let status_code = response.status();
let headers = response.headers().clone();
let stream = response.bytes_stream();
Ok((status_code, headers, axum::body::Body::from_stream(stream)))
}
+41 -16
View File
@@ -8,6 +8,7 @@
use std::collections::HashMap;
use crate::ai::{AiResource, AI_KEY_CACHE};
use crate::db::ApiAuthed;
use crate::users_ee::send_email_if_possible;
use crate::utils::get_instance_username_or_create_pending;
@@ -168,7 +169,7 @@ pub struct WorkspaceSettings {
pub plan: Option<String>,
pub webhook: Option<String>,
pub deploy_to: Option<String>,
pub openai_resource_path: Option<String>,
pub ai_resource: Option<serde_json::Value>,
pub code_completion_enabled: bool,
pub error_handler: Option<String>,
pub error_handler_extra_args: Option<serde_json::Value>,
@@ -234,7 +235,7 @@ struct EditWebhook {
#[derive(Deserialize)]
struct EditCopilotConfig {
openai_resource_path: Option<String>,
ai_resource: Option<serde_json::Value>,
code_completion_enabled: bool,
}
@@ -645,23 +646,33 @@ async fn edit_copilot_config(
let mut tx = db.begin().await?;
if let Some(openai_resource_path) = &eo.openai_resource_path {
if let Some(ai_resource) = &eo.ai_resource {
let path = serde_json::from_value::<AiResource>(ai_resource.clone())
.map_err(|e| Error::BadRequest(e.to_string()))?
.path;
sqlx::query!(
"UPDATE workspace_settings SET openai_resource_path = $1, code_completion_enabled = $2 WHERE workspace_id = $3",
openai_resource_path,
"UPDATE workspace_settings SET ai_resource = $1, code_completion_enabled = $2 WHERE workspace_id = $3",
ai_resource,
eo.code_completion_enabled,
&w_id
)
.execute(&mut *tx)
.await?;
if let Some(cached) = AI_KEY_CACHE.get(&w_id) {
if cached.path != path {
AI_KEY_CACHE.remove(&w_id);
}
}
} else {
sqlx::query!(
"UPDATE workspace_settings SET openai_resource_path = NULL, code_completion_enabled = $1 WHERE workspace_id = $2",
"UPDATE workspace_settings SET ai_resource = NULL, code_completion_enabled = $1 WHERE workspace_id = $2",
eo.code_completion_enabled,
&w_id,
)
.execute(&mut *tx)
.await?;
AI_KEY_CACHE.remove(&w_id);
}
audit_log(
&mut *tx,
@@ -672,10 +683,7 @@ async fn edit_copilot_config(
Some(&authed.email),
Some(
[
(
"openai_resource_path",
&format!("{:?}", eo.openai_resource_path)[..],
),
("ai_resource", &format!("{:?}", eo.ai_resource)[..]),
(
"code_completion_enabled",
&format!("{:?}", eo.code_completion_enabled)[..],
@@ -692,7 +700,8 @@ async fn edit_copilot_config(
#[derive(Serialize)]
struct CopilotInfo {
pub exists_openai_resource_path: bool,
pub ai_provider: String,
pub exists_ai_resource: bool,
pub code_completion_enabled: bool,
}
async fn get_copilot_info(
@@ -701,16 +710,32 @@ async fn get_copilot_info(
) -> JsonResult<CopilotInfo> {
let mut tx = db.begin().await?;
let record = sqlx::query!(
"SELECT openai_resource_path, code_completion_enabled FROM workspace_settings WHERE workspace_id = $1",
"SELECT ai_resource, code_completion_enabled FROM workspace_settings WHERE workspace_id = $1",
&w_id
)
.fetch_one(&mut *tx)
.await
.map_err(|e| Error::InternalErr(format!("getting openai_resource_path and code_completion_enabled: {e:#}")))?;
.map_err(|e| Error::InternalErr(format!("getting ai_resource and code_completion_enabled: {e:#}")))?;
tx.commit().await?;
let (ai_provider, exists_ai_resource) = if let Some(ai_resource) = record.ai_resource {
let ai_resource = serde_json::from_value::<AiResource>(ai_resource);
let exist = ai_resource.is_ok();
(
if exist {
ai_resource.unwrap().provider
} else {
"".to_string()
},
exist,
)
} else {
("".to_string(), false)
};
Ok(Json(CopilotInfo {
exists_openai_resource_path: record.openai_resource_path.is_some(),
ai_provider,
exists_ai_resource,
code_completion_enabled: record.code_completion_enabled,
}))
}
@@ -2223,7 +2248,7 @@ struct SimplifiedSettings {
error_handler: Option<String>,
error_handler_extra_args: Option<Value>,
error_handler_muted_on_cancel: bool,
openai_resource_path: Option<String>,
ai_resource: Option<serde_json::Value>,
code_completion_enabled: bool,
large_file_storage: Option<Value>,
git_sync: Option<Value>,
@@ -2588,7 +2613,7 @@ async fn tarball_workspace(
webhook,
deploy_to,
error_handler,
openai_resource_path,
ai_resource,
code_completion_enabled,
error_handler_extra_args,
error_handler_muted_on_cancel,