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...

32 Commits

Author SHA1 Message Date
4d59fdb65d Correctly support document templates on the chat API 2025-05-21 15:32:34 +02:00
3e51c0a4c1 Introduce the new index chat settings 2025-05-21 11:07:06 +02:00
91c6ab8392 Make sure errorneous calls are handled and forwarded to the LLM 2025-05-20 18:01:08 +02:00
beff6adeb1 Catch invalid argument calls to search function 2025-05-20 17:55:21 +02:00
18eab165a7 Support multiple indexes and not only main 2025-05-20 17:43:24 +02:00
5c6b63df65 Limit the number of internal loop calls and change the function name 2025-05-20 16:44:28 +02:00
7266aed770 Correctly support tenant tokens and filters 2025-05-20 16:15:49 +02:00
bae6c98aa3 Stream errors 2025-05-20 12:23:22 +02:00
42c95cf3c4 Stop the stream when the connexion stops and chnage the events 2025-05-20 12:05:51 +02:00
4f919db344 Generate a new default chat API key 2025-05-20 11:00:19 +02:00
295840d07a Change the /chat route to /chat/completions to be OpenAI-compatible 2025-05-20 10:14:56 +02:00
c0c3bddda8 Better stop the stream 2025-05-16 17:12:48 +02:00
10b5fcd4ba Update the streaming detection to work with Mistral 2025-05-16 15:17:01 +02:00
8113d4a52e Make it compatible with the Mistral API 2025-05-16 14:33:53 +02:00
5964289284 Support base_api in the settings 2025-05-15 18:28:02 +02:00
6b81854d48 Make clippy happy 2025-05-15 18:16:06 +02:00
9e5b466426 Display pre-query prompt in search tool response 2025-05-15 18:10:09 +02:00
b43ffd8fac Commit when putting stuff in LMDB 2025-05-15 18:03:26 +02:00
43da2bcb8c Remove useless function 2025-05-15 17:52:26 +02:00
5e3b126d73 Expose new chat settings routes 2025-05-15 17:48:10 +02:00
6c034754ca Factorise a bit the code 2025-05-15 15:39:38 +02:00
6329cf7ed6 Display the different tool calls we need to do 2025-05-15 11:17:34 +02:00
e0c8c11a94 Send an event with the content of the tool calling 2025-05-14 17:15:32 +02:00
6e8b371111 Streaming supports tool calling 2025-05-14 14:58:01 +02:00
da7d651f4b Nearly support tools on the streaming route 2025-05-14 14:29:41 +02:00
24050f06e4 Return the right message format 2025-05-14 12:03:43 +02:00
af482d8ee9 Aggregate tool calls and display the calls to make. 2025-05-14 11:53:03 +02:00
7d62307739 Implement a first version of a streamed chat API 2025-05-14 11:18:21 +02:00
3a71df7b5a Make it work by retrieving content from the index 2025-05-13 16:35:46 +02:00
ac39a436d9 Support overwriten prompts of the search query 2025-05-13 16:33:58 +02:00
e5c963a170 Support querying the index named main 2025-05-13 15:26:24 +02:00
9baf2ce1a6 Introduce the first version of the /chat route that mimics the OpenAI API 2025-05-13 11:19:32 +02:00
26 changed files with 1504 additions and 119 deletions

560
Cargo.lock generated

File diff suppressed because it is too large Load Diff

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@ -31,7 +31,7 @@ anyhow = "1.0.95"
bytes = "1.9.0"
convert_case = "0.6.0"
flate2 = "1.0.35"
reqwest = { version = "0.12.12", features = ["blocking", "rustls-tls"], default-features = false }
reqwest = { version = "0.12.15", features = ["blocking", "rustls-tls"], default-features = false }
[features]
default = ["milli/all-tokenizations"]

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@ -398,6 +398,7 @@ impl<T> From<v5::Settings<T>> for v6::Settings<v6::Unchecked> {
search_cutoff_ms: v6::Setting::NotSet,
facet_search: v6::Setting::NotSet,
prefix_search: v6::Setting::NotSet,
chat: v6::Setting::NotSet,
_kind: std::marker::PhantomData,
}
}

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@ -53,8 +53,8 @@ use flate2::Compression;
use meilisearch_types::batches::Batch;
use meilisearch_types::features::{InstanceTogglableFeatures, Network, RuntimeTogglableFeatures};
use meilisearch_types::heed::byteorder::BE;
use meilisearch_types::heed::types::I128;
use meilisearch_types::heed::{self, Env, RoTxn, WithoutTls};
use meilisearch_types::heed::types::{SerdeJson, Str, I128};
use meilisearch_types::heed::{self, Database, Env, RoTxn, WithoutTls};
use meilisearch_types::milli::index::IndexEmbeddingConfig;
use meilisearch_types::milli::update::IndexerConfig;
use meilisearch_types::milli::vector::{Embedder, EmbedderOptions, EmbeddingConfigs};
@ -151,6 +151,9 @@ pub struct IndexScheduler {
/// In charge of fetching and setting the status of experimental features.
features: features::FeatureData,
/// Stores the custom chat prompts and other settings of the indexes.
chat_settings: Database<Str, SerdeJson<serde_json::Value>>,
/// Everything related to the processing of the tasks
pub scheduler: scheduler::Scheduler,
@ -209,11 +212,16 @@ impl IndexScheduler {
#[cfg(test)]
run_loop_iteration: self.run_loop_iteration.clone(),
features: self.features.clone(),
chat_settings: self.chat_settings,
}
}
pub(crate) const fn nb_db() -> u32 {
Versioning::nb_db() + Queue::nb_db() + IndexMapper::nb_db() + features::FeatureData::nb_db()
Versioning::nb_db()
+ Queue::nb_db()
+ IndexMapper::nb_db()
+ features::FeatureData::nb_db()
+ 1 // chat-prompts
}
/// Create an index scheduler and start its run loop.
@ -267,6 +275,7 @@ impl IndexScheduler {
let features = features::FeatureData::new(&env, &mut wtxn, options.instance_features)?;
let queue = Queue::new(&env, &mut wtxn, &options)?;
let index_mapper = IndexMapper::new(&env, &mut wtxn, &options, budget)?;
let chat_settings = env.create_database(&mut wtxn, Some("chat-settings"))?;
wtxn.commit()?;
// allow unreachable_code to get rids of the warning in the case of a test build.
@ -290,6 +299,7 @@ impl IndexScheduler {
#[cfg(test)]
run_loop_iteration: Arc::new(RwLock::new(0)),
features,
chat_settings,
};
this.run();
@ -857,6 +867,18 @@ impl IndexScheduler {
.collect();
res.map(EmbeddingConfigs::new)
}
pub fn chat_settings(&self) -> Result<Option<serde_json::Value>> {
let rtxn = self.env.read_txn().map_err(Error::HeedTransaction)?;
self.chat_settings.get(&rtxn, "main").map_err(Into::into)
}
pub fn put_chat_settings(&self, settings: &serde_json::Value) -> Result<()> {
let mut wtxn = self.env.write_txn().map_err(Error::HeedTransaction)?;
self.chat_settings.put(&mut wtxn, "main", settings)?;
wtxn.commit().map_err(Error::HeedTransaction)?;
Ok(())
}
}
/// The outcome of calling the [`IndexScheduler::tick`] function.

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@ -351,6 +351,7 @@ pub struct IndexSearchRules {
fn generate_default_keys(store: &HeedAuthStore) -> Result<()> {
store.put_api_key(Key::default_admin())?;
store.put_api_key(Key::default_search())?;
store.put_api_key(Key::default_chat())?;
Ok(())
}

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@ -387,7 +387,8 @@ VectorEmbeddingError , InvalidRequest , BAD_REQUEST ;
NotFoundSimilarId , InvalidRequest , BAD_REQUEST ;
InvalidDocumentEditionContext , InvalidRequest , BAD_REQUEST ;
InvalidDocumentEditionFunctionFilter , InvalidRequest , BAD_REQUEST ;
EditDocumentsByFunctionError , InvalidRequest , BAD_REQUEST
EditDocumentsByFunctionError , InvalidRequest , BAD_REQUEST ;
InvalidSettingsIndexChat , InvalidRequest , BAD_REQUEST
}
impl ErrorCode for JoinError {

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@ -158,6 +158,21 @@ impl Key {
updated_at: now,
}
}
pub fn default_chat() -> Self {
let now = OffsetDateTime::now_utc();
let uid = Uuid::new_v4();
Self {
name: Some("Default Chat API Key".to_string()),
description: Some("Use it to chat and search from the frontend".to_string()),
uid,
actions: vec![Action::Chat, Action::Search],
indexes: vec![IndexUidPattern::all()],
expires_at: None,
created_at: now,
updated_at: now,
}
}
}
fn parse_expiration_date(
@ -308,6 +323,15 @@ pub enum Action {
#[serde(rename = "network.update")]
#[deserr(rename = "network.update")]
NetworkUpdate,
#[serde(rename = "chat.get")]
#[deserr(rename = "chat.get")]
Chat,
#[serde(rename = "chatSettings.get")]
#[deserr(rename = "chatSettings.get")]
ChatSettingsGet,
#[serde(rename = "chatSettings.update")]
#[deserr(rename = "chatSettings.update")]
ChatSettingsUpdate,
}
impl Action {
@ -349,6 +373,7 @@ impl Action {
EXPERIMENTAL_FEATURES_UPDATE => Some(Self::ExperimentalFeaturesUpdate),
NETWORK_GET => Some(Self::NetworkGet),
NETWORK_UPDATE => Some(Self::NetworkUpdate),
CHAT => Some(Self::Chat),
_otherwise => None,
}
}
@ -397,4 +422,8 @@ pub mod actions {
pub const NETWORK_GET: u8 = NetworkGet.repr();
pub const NETWORK_UPDATE: u8 = NetworkUpdate.repr();
pub const CHAT: u8 = Chat.repr();
pub const CHAT_SETTINGS_GET: u8 = ChatSettingsGet.repr();
pub const CHAT_SETTINGS_UPDATE: u8 = ChatSettingsUpdate.repr();
}

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@ -11,6 +11,7 @@ use fst::IntoStreamer;
use milli::disabled_typos_terms::DisabledTyposTerms;
use milli::index::{IndexEmbeddingConfig, PrefixSearch};
use milli::proximity::ProximityPrecision;
pub use milli::update::ChatSettings;
use milli::update::Setting;
use milli::{Criterion, CriterionError, FilterableAttributesRule, Index, DEFAULT_VALUES_PER_FACET};
use serde::{Deserialize, Serialize, Serializer};
@ -199,72 +200,86 @@ pub struct Settings<T> {
#[deserr(default, error = DeserrJsonError<InvalidSettingsDisplayedAttributes>)]
#[schema(value_type = Option<Vec<String>>, example = json!(["id", "title", "description", "url"]))]
pub displayed_attributes: WildcardSetting,
/// Fields in which to search for matching query words sorted by order of importance.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsSearchableAttributes>)]
#[schema(value_type = Option<Vec<String>>, example = json!(["title", "description"]))]
pub searchable_attributes: WildcardSetting,
/// Attributes to use for faceting and filtering. See [Filtering and Faceted Search](https://www.meilisearch.com/docs/learn/filtering_and_sorting/search_with_facet_filters).
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsFilterableAttributes>)]
#[schema(value_type = Option<Vec<FilterableAttributesRule>>, example = json!(["release_date", "genre"]))]
pub filterable_attributes: Setting<Vec<FilterableAttributesRule>>,
/// Attributes to use when sorting search results.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsSortableAttributes>)]
#[schema(value_type = Option<Vec<String>>, example = json!(["release_date"]))]
pub sortable_attributes: Setting<BTreeSet<String>>,
/// List of ranking rules sorted by order of importance. The order is customizable.
/// [A list of ordered built-in ranking rules](https://www.meilisearch.com/docs/learn/relevancy/relevancy).
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsRankingRules>)]
#[schema(value_type = Option<Vec<String>>, example = json!([RankingRuleView::Words, RankingRuleView::Typo, RankingRuleView::Proximity, RankingRuleView::Attribute, RankingRuleView::Exactness]))]
pub ranking_rules: Setting<Vec<RankingRuleView>>,
/// List of words ignored when present in search queries.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsStopWords>)]
#[schema(value_type = Option<Vec<String>>, example = json!(["the", "a", "them", "their"]))]
pub stop_words: Setting<BTreeSet<String>>,
/// List of characters not delimiting where one term begins and ends.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsNonSeparatorTokens>)]
#[schema(value_type = Option<Vec<String>>, example = json!([" ", "\n"]))]
pub non_separator_tokens: Setting<BTreeSet<String>>,
/// List of characters delimiting where one term begins and ends.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsSeparatorTokens>)]
#[schema(value_type = Option<Vec<String>>, example = json!(["S"]))]
pub separator_tokens: Setting<BTreeSet<String>>,
/// List of strings Meilisearch should parse as a single term.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsDictionary>)]
#[schema(value_type = Option<Vec<String>>, example = json!(["iPhone pro"]))]
pub dictionary: Setting<BTreeSet<String>>,
/// List of associated words treated similarly. A word associated to an array of word as synonyms.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsSynonyms>)]
#[schema(value_type = Option<BTreeMap<String, Vec<String>>>, example = json!({ "he": ["she", "they", "them"], "phone": ["iPhone", "android"]}))]
pub synonyms: Setting<BTreeMap<String, Vec<String>>>,
/// Search returns documents with distinct (different) values of the given field.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsDistinctAttribute>)]
#[schema(value_type = Option<String>, example = json!("sku"))]
pub distinct_attribute: Setting<String>,
/// Precision level when calculating the proximity ranking rule.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsProximityPrecision>)]
#[schema(value_type = Option<String>, example = json!(ProximityPrecisionView::ByAttribute))]
pub proximity_precision: Setting<ProximityPrecisionView>,
/// Customize typo tolerance feature.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsTypoTolerance>)]
#[schema(value_type = Option<TypoSettings>, example = json!({ "enabled": true, "disableOnAttributes": ["title"]}))]
pub typo_tolerance: Setting<TypoSettings>,
/// Faceting settings.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsFaceting>)]
#[schema(value_type = Option<FacetingSettings>, example = json!({ "maxValuesPerFacet": 10, "sortFacetValuesBy": { "genre": FacetValuesSort::Count }}))]
pub faceting: Setting<FacetingSettings>,
/// Pagination settings.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsPagination>)]
@ -276,24 +291,34 @@ pub struct Settings<T> {
#[deserr(default, error = DeserrJsonError<InvalidSettingsEmbedders>)]
#[schema(value_type = Option<BTreeMap<String, SettingEmbeddingSettings>>)]
pub embedders: Setting<BTreeMap<String, SettingEmbeddingSettings>>,
/// Maximum duration of a search query.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsSearchCutoffMs>)]
#[schema(value_type = Option<u64>, example = json!(50))]
pub search_cutoff_ms: Setting<u64>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsLocalizedAttributes>)]
#[schema(value_type = Option<Vec<LocalizedAttributesRuleView>>, example = json!(50))]
pub localized_attributes: Setting<Vec<LocalizedAttributesRuleView>>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsFacetSearch>)]
#[schema(value_type = Option<bool>, example = json!(true))]
pub facet_search: Setting<bool>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsPrefixSearch>)]
#[schema(value_type = Option<PrefixSearchSettings>, example = json!("Hemlo"))]
pub prefix_search: Setting<PrefixSearchSettings>,
/// Customize the chat prompting.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsIndexChat>)]
#[schema(value_type = Option<ChatSettings>)]
pub chat: Setting<ChatSettings>,
#[serde(skip)]
#[deserr(skip)]
pub _kind: PhantomData<T>,
@ -359,6 +384,7 @@ impl Settings<Checked> {
localized_attributes: Setting::Reset,
facet_search: Setting::Reset,
prefix_search: Setting::Reset,
chat: Setting::Reset,
_kind: PhantomData,
}
}
@ -385,6 +411,7 @@ impl Settings<Checked> {
localized_attributes: localized_attributes_rules,
facet_search,
prefix_search,
chat,
_kind,
} = self;
@ -409,6 +436,7 @@ impl Settings<Checked> {
localized_attributes: localized_attributes_rules,
facet_search,
prefix_search,
chat,
_kind: PhantomData,
}
}
@ -459,6 +487,7 @@ impl Settings<Unchecked> {
localized_attributes: self.localized_attributes,
facet_search: self.facet_search,
prefix_search: self.prefix_search,
chat: self.chat,
_kind: PhantomData,
}
}
@ -533,8 +562,9 @@ impl Settings<Unchecked> {
Setting::Set(this)
}
},
prefix_search: other.prefix_search.or(self.prefix_search),
facet_search: other.facet_search.or(self.facet_search),
prefix_search: other.prefix_search.or(self.prefix_search),
chat: other.chat.clone().or(self.chat.clone()),
_kind: PhantomData,
}
}
@ -573,6 +603,7 @@ pub fn apply_settings_to_builder(
localized_attributes: localized_attributes_rules,
facet_search,
prefix_search,
chat,
_kind,
} = settings;
@ -783,6 +814,12 @@ pub fn apply_settings_to_builder(
Setting::Reset => builder.reset_facet_search(),
Setting::NotSet => (),
}
match chat {
Setting::Set(chat) => builder.set_chat(chat.clone()),
Setting::Reset => builder.reset_chat(),
Setting::NotSet => (),
}
}
pub enum SecretPolicy {
@ -880,14 +917,11 @@ pub fn settings(
})
.collect();
let embedders = Setting::Set(embedders);
let search_cutoff_ms = index.search_cutoff(rtxn)?;
let localized_attributes_rules = index.localized_attributes_rules(rtxn)?;
let prefix_search = index.prefix_search(rtxn)?.map(PrefixSearchSettings::from);
let facet_search = index.facet_search(rtxn)?;
let chat = index.chat_config(rtxn).map(ChatSettings::from)?;
let mut settings = Settings {
displayed_attributes: match displayed_attributes {
@ -925,8 +959,9 @@ pub fn settings(
Some(rules) => Setting::Set(rules.into_iter().map(|r| r.into()).collect()),
None => Setting::Reset,
},
prefix_search: Setting::Set(prefix_search.unwrap_or_default()),
facet_search: Setting::Set(facet_search),
prefix_search: Setting::Set(prefix_search.unwrap_or_default()),
chat: Setting::Set(chat),
_kind: PhantomData,
};
@ -1154,6 +1189,7 @@ pub(crate) mod test {
search_cutoff_ms: Setting::NotSet,
facet_search: Setting::NotSet,
prefix_search: Setting::NotSet,
chat: Setting::NotSet,
_kind: PhantomData::<Unchecked>,
};
@ -1185,6 +1221,8 @@ pub(crate) mod test {
search_cutoff_ms: Setting::NotSet,
facet_search: Setting::NotSet,
prefix_search: Setting::NotSet,
chat: Setting::NotSet,
_kind: PhantomData::<Unchecked>,
};

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@ -32,6 +32,7 @@ async-trait = "0.1.85"
bstr = "1.11.3"
byte-unit = { version = "5.1.6", features = ["serde"] }
bytes = "1.9.0"
bumpalo = "3.16.0"
clap = { version = "4.5.24", features = ["derive", "env"] }
crossbeam-channel = "0.5.15"
deserr = { version = "0.6.3", features = ["actix-web"] }
@ -48,6 +49,7 @@ is-terminal = "0.4.13"
itertools = "0.14.0"
jsonwebtoken = "9.3.0"
lazy_static = "1.5.0"
liquid = "0.26.9"
meilisearch-auth = { path = "../meilisearch-auth" }
meilisearch-types = { path = "../meilisearch-types" }
mimalloc = { version = "0.1.43", default-features = false }
@ -111,6 +113,8 @@ utoipa = { version = "5.3.1", features = [
"openapi_extensions",
] }
utoipa-scalar = { version = "0.3.0", optional = true, features = ["actix-web"] }
async-openai = { git = "https://github.com/meilisearch/async-openai", branch = "optional-type-function" }
actix-web-lab = { version = "0.24.1", default-features = false }
[dev-dependencies]
actix-rt = "2.10.0"

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@ -4,6 +4,7 @@ use std::marker::PhantomData;
use std::ops::Deref;
use std::pin::Pin;
use actix_web::http::header::AUTHORIZATION;
use actix_web::web::Data;
use actix_web::FromRequest;
pub use error::AuthenticationError;
@ -94,36 +95,44 @@ impl<P: Policy + 'static, D: 'static + Clone> FromRequest for GuardedData<P, D>
_payload: &mut actix_web::dev::Payload,
) -> Self::Future {
match req.app_data::<Data<AuthController>>().cloned() {
Some(auth) => match req
.headers()
.get("Authorization")
.map(|type_token| type_token.to_str().unwrap_or_default().splitn(2, ' '))
{
Some(mut type_token) => match type_token.next() {
Some("Bearer") => {
// TODO: find a less hardcoded way?
let index = req.match_info().get("index_uid");
match type_token.next() {
Some(token) => Box::pin(Self::auth_bearer(
auth,
token.to_string(),
index.map(String::from),
req.app_data::<D>().cloned(),
)),
None => Box::pin(err(AuthenticationError::InvalidToken.into())),
}
}
_otherwise => {
Box::pin(err(AuthenticationError::MissingAuthorizationHeader.into()))
}
},
None => Box::pin(Self::auth_token(auth, req.app_data::<D>().cloned())),
Some(auth) => match extract_token_from_request(req) {
Ok(Some(token)) => {
// TODO: find a less hardcoded way?
let index = req.match_info().get("index_uid");
Box::pin(Self::auth_bearer(
auth,
token.to_string(),
index.map(String::from),
req.app_data::<D>().cloned(),
))
}
Ok(None) => Box::pin(Self::auth_token(auth, req.app_data::<D>().cloned())),
Err(e) => Box::pin(err(e.into())),
},
None => Box::pin(err(AuthenticationError::IrretrievableState.into())),
}
}
}
pub fn extract_token_from_request(
req: &actix_web::HttpRequest,
) -> Result<Option<&str>, AuthenticationError> {
match req
.headers()
.get(AUTHORIZATION)
.map(|type_token| type_token.to_str().unwrap_or_default().splitn(2, ' '))
{
Some(mut type_token) => match type_token.next() {
Some("Bearer") => match type_token.next() {
Some(token) => Ok(Some(token)),
None => Err(AuthenticationError::InvalidToken),
},
_otherwise => Err(AuthenticationError::MissingAuthorizationHeader),
},
None => Ok(None),
}
}
pub trait Policy {
fn authenticate(
auth: Data<AuthController>,
@ -299,8 +308,8 @@ pub mod policies {
auth: &AuthController,
token: &str,
) -> Result<TenantTokenOutcome, AuthError> {
// Only search action can be accessed by a tenant token.
if A != actions::SEARCH {
// Only search and chat actions can be accessed by a tenant token.
if A != actions::SEARCH && A != actions::CHAT {
return Ok(TenantTokenOutcome::NotATenantToken);
}

View File

@ -0,0 +1,558 @@
use std::cell::RefCell;
use std::collections::HashMap;
use std::mem;
use std::sync::RwLock;
use std::time::Duration;
use actix_web::web::{self, Data};
use actix_web::{Either, HttpRequest, HttpResponse, Responder};
use actix_web_lab::sse::{self, Event, Sse};
use async_openai::config::OpenAIConfig;
use async_openai::types::{
ChatCompletionMessageToolCall, ChatCompletionMessageToolCallChunk,
ChatCompletionRequestAssistantMessageArgs, ChatCompletionRequestMessage,
ChatCompletionRequestSystemMessage, ChatCompletionRequestSystemMessageContent,
ChatCompletionRequestToolMessage, ChatCompletionRequestToolMessageContent,
ChatCompletionStreamResponseDelta, ChatCompletionToolArgs, ChatCompletionToolType,
CreateChatCompletionRequest, FinishReason, FunctionCall, FunctionCallStream,
FunctionObjectArgs,
};
use async_openai::Client;
use bumpalo::Bump;
use futures::StreamExt;
use index_scheduler::IndexScheduler;
use meilisearch_auth::AuthController;
use meilisearch_types::error::ResponseError;
use meilisearch_types::heed::RoTxn;
use meilisearch_types::keys::actions;
use meilisearch_types::milli::index::ChatConfig;
use meilisearch_types::milli::prompt::{Prompt, PromptData};
use meilisearch_types::milli::update::new::document::DocumentFromDb;
use meilisearch_types::milli::{
DocumentId, FieldIdMapWithMetadata, GlobalFieldsIdsMap, MetadataBuilder, TimeBudget,
};
use meilisearch_types::Index;
use serde::Deserialize;
use serde_json::json;
use tokio::runtime::Handle;
use tokio::sync::mpsc::error::SendError;
use super::settings::chat::{ChatPrompts, GlobalChatSettings};
use crate::error::MeilisearchHttpError;
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::{extract_token_from_request, GuardedData, Policy as _};
use crate::metrics::MEILISEARCH_DEGRADED_SEARCH_REQUESTS;
use crate::routes::indexes::search::search_kind;
use crate::search::{
add_search_rules, prepare_search, search_from_kind, HybridQuery, SearchQuery, SemanticRatio,
};
use crate::search_queue::SearchQueue;
const EMBEDDER_NAME: &str = "openai";
const SEARCH_IN_INDEX_FUNCTION_NAME: &str = "_meiliSearchInIndex";
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(web::resource("/completions").route(web::post().to(chat)));
}
/// Get a chat completion
async fn chat(
index_scheduler: GuardedData<ActionPolicy<{ actions::CHAT }>, Data<IndexScheduler>>,
auth_ctrl: web::Data<AuthController>,
req: HttpRequest,
search_queue: web::Data<SearchQueue>,
web::Json(chat_completion): web::Json<CreateChatCompletionRequest>,
) -> impl Responder {
// To enable later on, when the feature will be experimental
// index_scheduler.features().check_chat("Using the /chat route")?;
assert_eq!(
chat_completion.n.unwrap_or(1),
1,
"Meilisearch /chat only support one completion at a time (n = 1, n = null)"
);
if chat_completion.stream.unwrap_or(false) {
Either::Right(
streamed_chat(index_scheduler, auth_ctrl, req, search_queue, chat_completion).await,
)
} else {
Either::Left(
non_streamed_chat(index_scheduler, auth_ctrl, req, search_queue, chat_completion).await,
)
}
}
/// Setup search tool in chat completion request
fn setup_search_tool(
index_scheduler: &Data<IndexScheduler>,
filters: &meilisearch_auth::AuthFilter,
chat_completion: &mut CreateChatCompletionRequest,
prompts: &ChatPrompts,
) -> Result<(), ResponseError> {
let tools = chat_completion.tools.get_or_insert_default();
if tools.iter().find(|t| t.function.name == SEARCH_IN_INDEX_FUNCTION_NAME).is_some() {
panic!("{SEARCH_IN_INDEX_FUNCTION_NAME} function already set");
}
let index_uids: Vec<_> = index_scheduler
.index_names()?
.into_iter()
.filter(|index_uid| filters.is_index_authorized(&index_uid))
.collect();
let tool = ChatCompletionToolArgs::default()
.r#type(ChatCompletionToolType::Function)
.function(
FunctionObjectArgs::default()
.name(SEARCH_IN_INDEX_FUNCTION_NAME)
.description(&prompts.search_description)
.parameters(json!({
"type": "object",
"properties": {
"index_uid": {
"type": "string",
"enum": index_uids,
"description": prompts.search_index_uid_param,
},
"q": {
// Unfortunately, Mistral does not support an array of types, here.
// "type": ["string", "null"],
"type": "string",
"description": prompts.search_q_param,
}
},
"required": ["index_uid", "q"],
"additionalProperties": false,
}))
.strict(true)
.build()
.unwrap(),
)
.build()
.unwrap();
tools.push(tool);
chat_completion.messages.insert(
0,
ChatCompletionRequestMessage::System(ChatCompletionRequestSystemMessage {
content: ChatCompletionRequestSystemMessageContent::Text(prompts.system.clone()),
name: None,
}),
);
Ok(())
}
/// Process search request and return formatted results
async fn process_search_request(
index_scheduler: &GuardedData<ActionPolicy<{ actions::CHAT }>, Data<IndexScheduler>>,
auth_ctrl: web::Data<AuthController>,
search_queue: &web::Data<SearchQueue>,
auth_token: &str,
index_uid: String,
q: Option<String>,
) -> Result<(Index, String), ResponseError> {
let mut query = SearchQuery {
q,
hybrid: Some(HybridQuery {
semantic_ratio: SemanticRatio::default(),
embedder: EMBEDDER_NAME.to_string(),
}),
limit: 20,
..Default::default()
};
let auth_filter = ActionPolicy::<{ actions::SEARCH }>::authenticate(
auth_ctrl,
auth_token,
Some(index_uid.as_str()),
)?;
// Tenant token search_rules.
if let Some(search_rules) = auth_filter.get_index_search_rules(&index_uid) {
add_search_rules(&mut query.filter, search_rules);
}
// TBD
// let mut aggregate = SearchAggregator::<SearchPOST>::from_query(&query);
let index = index_scheduler.index(&index_uid)?;
let search_kind =
search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index)?;
let permit = search_queue.try_get_search_permit().await?;
let features = index_scheduler.features();
let index_cloned = index.clone();
let search_result = tokio::task::spawn_blocking(move || -> Result<_, ResponseError> {
let rtxn = index_cloned.read_txn()?;
let time_budget = match index_cloned
.search_cutoff(&rtxn)
.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid.clone())))?
{
Some(cutoff) => TimeBudget::new(Duration::from_millis(cutoff)),
None => TimeBudget::default(),
};
let (search, _is_finite_pagination, _max_total_hits, _offset) =
prepare_search(&index_cloned, &rtxn, &query, &search_kind, time_budget, features)?;
search_from_kind(index_uid, search_kind, search)
.map(|(search_results, _)| search_results)
.map_err(ResponseError::from)
})
.await;
permit.drop().await;
let search_result = search_result?;
if let Ok(ref search_result) = search_result {
// aggregate.succeed(search_result);
if search_result.degraded {
MEILISEARCH_DEGRADED_SEARCH_REQUESTS.inc();
}
}
// analytics.publish(aggregate, &req);
let search_result = search_result?;
let rtxn = index.read_txn()?;
let render_alloc = Bump::new();
let formatted = format_documents(&rtxn, &index, &render_alloc, search_result.documents_ids)?;
let text = formatted.join("\n");
drop(rtxn);
Ok((index, text))
}
async fn non_streamed_chat(
index_scheduler: GuardedData<ActionPolicy<{ actions::CHAT }>, Data<IndexScheduler>>,
auth_ctrl: web::Data<AuthController>,
req: HttpRequest,
search_queue: web::Data<SearchQueue>,
mut chat_completion: CreateChatCompletionRequest,
) -> Result<HttpResponse, ResponseError> {
let filters = index_scheduler.filters();
let chat_settings = match index_scheduler.chat_settings().unwrap() {
Some(value) => serde_json::from_value(value).unwrap(),
None => GlobalChatSettings::default(),
};
let mut config = OpenAIConfig::default();
if let Some(api_key) = chat_settings.api_key.as_ref() {
config = config.with_api_key(api_key);
}
if let Some(base_api) = chat_settings.base_api.as_ref() {
config = config.with_api_base(base_api);
}
let client = Client::with_config(config);
let auth_token = extract_token_from_request(&req)?.unwrap();
setup_search_tool(&index_scheduler, filters, &mut chat_completion, &chat_settings.prompts)?;
let mut response;
loop {
response = client.chat().create(chat_completion.clone()).await.unwrap();
let choice = &mut response.choices[0];
match choice.finish_reason {
Some(FinishReason::ToolCalls) => {
let tool_calls = mem::take(&mut choice.message.tool_calls).unwrap_or_default();
let (meili_calls, other_calls): (Vec<_>, Vec<_>) = tool_calls
.into_iter()
.partition(|call| call.function.name == SEARCH_IN_INDEX_FUNCTION_NAME);
chat_completion.messages.push(
ChatCompletionRequestAssistantMessageArgs::default()
.tool_calls(meili_calls.clone())
.build()
.unwrap()
.into(),
);
for call in meili_calls {
let result = match serde_json::from_str(&call.function.arguments) {
Ok(SearchInIndexParameters { index_uid, q }) => process_search_request(
&index_scheduler,
auth_ctrl.clone(),
&search_queue,
&auth_token,
index_uid,
q,
)
.await
.map_err(|e| e.to_string()),
Err(err) => Err(err.to_string()),
};
let text = match result {
Ok((_, text)) => text,
Err(err) => err,
};
chat_completion.messages.push(ChatCompletionRequestMessage::Tool(
ChatCompletionRequestToolMessage {
tool_call_id: call.id.clone(),
content: ChatCompletionRequestToolMessageContent::Text(format!(
"{}\n\n{text}",
chat_settings.prompts.pre_query
)),
},
));
}
// Let the client call other tools by themselves
if !other_calls.is_empty() {
response.choices[0].message.tool_calls = Some(other_calls);
break;
}
}
_ => break,
}
}
Ok(HttpResponse::Ok().json(response))
}
async fn streamed_chat(
index_scheduler: GuardedData<ActionPolicy<{ actions::CHAT }>, Data<IndexScheduler>>,
auth_ctrl: web::Data<AuthController>,
req: HttpRequest,
search_queue: web::Data<SearchQueue>,
mut chat_completion: CreateChatCompletionRequest,
) -> Result<impl Responder, ResponseError> {
let filters = index_scheduler.filters();
let chat_settings = match index_scheduler.chat_settings().unwrap() {
Some(value) => serde_json::from_value(value).unwrap(),
None => GlobalChatSettings::default(),
};
let mut config = OpenAIConfig::default();
if let Some(api_key) = chat_settings.api_key.as_ref() {
config = config.with_api_key(api_key);
}
if let Some(base_api) = chat_settings.base_api.as_ref() {
config = config.with_api_base(base_api);
}
let auth_token = extract_token_from_request(&req)?.unwrap().to_string();
setup_search_tool(&index_scheduler, filters, &mut chat_completion, &chat_settings.prompts)?;
let (tx, rx) = tokio::sync::mpsc::channel(10);
let _join_handle = Handle::current().spawn(async move {
let client = Client::with_config(config.clone());
let mut global_tool_calls = HashMap::<u32, Call>::new();
let mut finish_reason = None;
// Limit the number of internal calls to satisfy the search requests of the LLM
'main: for _ in 0..20 {
let mut response = client.chat().create_stream(chat_completion.clone()).await.unwrap();
while let Some(result) = response.next().await {
match result {
Ok(resp) => {
let choice = &resp.choices[0];
finish_reason = choice.finish_reason;
#[allow(deprecated)]
let ChatCompletionStreamResponseDelta {
content,
// Using deprecated field but keeping for compatibility
function_call: _,
ref tool_calls,
role: _,
refusal: _,
} = &choice.delta;
if content.is_some() {
if let Err(SendError(_)) = tx.send(Event::Data(sse::Data::new_json(&resp).unwrap())).await {
return;
}
}
match tool_calls {
Some(tool_calls) => {
for chunk in tool_calls {
let ChatCompletionMessageToolCallChunk {
index,
id,
r#type: _,
function,
} = chunk;
let FunctionCallStream { name, arguments } =
function.as_ref().unwrap();
global_tool_calls
.entry(*index)
.and_modify(|call| call.append(arguments.as_ref().unwrap()))
.or_insert_with(|| Call {
id: id.as_ref().unwrap().clone(),
function_name: name.as_ref().unwrap().clone(),
arguments: arguments.as_ref().unwrap().clone(),
});
}
}
None if !global_tool_calls.is_empty() => {
let (meili_calls, _other_calls): (Vec<_>, Vec<_>) =
mem::take(&mut global_tool_calls)
.into_values()
.map(|call| ChatCompletionMessageToolCall {
id: call.id,
r#type: Some(ChatCompletionToolType::Function),
function: FunctionCall {
name: call.function_name,
arguments: call.arguments,
},
})
.partition(|call| call.function.name == SEARCH_IN_INDEX_FUNCTION_NAME);
chat_completion.messages.push(
ChatCompletionRequestAssistantMessageArgs::default()
.tool_calls(meili_calls.clone())
.build()
.unwrap()
.into(),
);
for call in meili_calls {
if let Err(SendError(_)) = tx.send(Event::Data(
sse::Data::new_json(json!({
"object": "chat.completion.tool.call",
"tool": call,
}))
.unwrap(),
))
.await {
return;
}
let result = match serde_json::from_str(&call.function.arguments) {
Ok(SearchInIndexParameters { index_uid, q }) => process_search_request(
&index_scheduler,
auth_ctrl.clone(),
&search_queue,
&auth_token,
index_uid,
q,
).await.map_err(|e| e.to_string()),
Err(err) => Err(err.to_string()),
};
let is_error = result.is_err();
let text = match result {
Ok((_, text)) => text,
Err(err) => err,
};
let tool = ChatCompletionRequestToolMessage {
tool_call_id: call.id.clone(),
content: ChatCompletionRequestToolMessageContent::Text(
format!("{}\n\n{text}", chat_settings.prompts.pre_query),
),
};
if let Err(SendError(_)) = tx.send(Event::Data(
sse::Data::new_json(json!({
"object": if is_error {
"chat.completion.tool.error"
} else {
"chat.completion.tool.output"
},
"tool": ChatCompletionRequestToolMessage {
tool_call_id: call.id,
content: ChatCompletionRequestToolMessageContent::Text(
text,
),
},
}))
.unwrap(),
))
.await {
return;
}
chat_completion.messages.push(ChatCompletionRequestMessage::Tool(tool));
}
}
None => (),
}
}
Err(err) => {
tracing::error!("{err:?}");
if let Err(SendError(_)) = tx.send(Event::Data(sse::Data::new_json(&json!({
"object": "chat.completion.error",
"tool": err.to_string(),
})).unwrap())).await {
return;
}
break 'main;
}
}
}
// We must stop if the finish reason is not something we can solve with Meilisearch
if finish_reason.map_or(true, |fr| fr != FinishReason::ToolCalls) {
break;
}
}
let _ = tx.send(Event::Data(sse::Data::new("[DONE]")));
});
Ok(Sse::from_infallible_receiver(rx).with_retry_duration(Duration::from_secs(10)))
}
/// The structure used to aggregate the function calls to make.
#[derive(Debug)]
struct Call {
id: String,
function_name: String,
arguments: String,
}
impl Call {
fn append(&mut self, arguments: &str) {
self.arguments.push_str(arguments);
}
}
#[derive(Deserialize)]
struct SearchInIndexParameters {
/// The index uid to search in.
index_uid: String,
/// The query parameter to use.
q: Option<String>,
}
fn format_documents<'t, 'doc>(
rtxn: &RoTxn<'t>,
index: &Index,
doc_alloc: &'doc Bump,
internal_docids: Vec<DocumentId>,
) -> Result<Vec<&'doc str>, ResponseError> {
let ChatConfig { prompt: PromptData { template, max_bytes }, .. } = index.chat_config(rtxn)?;
let prompt = Prompt::new(template, max_bytes).unwrap();
let fid_map = index.fields_ids_map(rtxn)?;
let metadata_builder = MetadataBuilder::from_index(index, rtxn)?;
let fid_map_with_meta = FieldIdMapWithMetadata::new(fid_map.clone(), metadata_builder);
let global = RwLock::new(fid_map_with_meta);
let gfid_map = RefCell::new(GlobalFieldsIdsMap::new(&global));
let external_ids: Vec<String> = index
.external_id_of(rtxn, internal_docids.iter().copied())?
.into_iter()
.collect::<Result<_, _>>()?;
let mut renders = Vec::new();
for (docid, external_docid) in internal_docids.into_iter().zip(external_ids) {
let document = match DocumentFromDb::new(docid, rtxn, index, &fid_map)? {
Some(doc) => doc,
None => continue,
};
let text = prompt.render_document(&external_docid, document, &gfid_map, doc_alloc).unwrap();
renders.push(text);
}
Ok(renders)
}

View File

@ -6,7 +6,7 @@ use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::ResponseError;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::settings::{
settings, SecretPolicy, SettingEmbeddingSettings, Settings, Unchecked,
settings, ChatSettings, SecretPolicy, SettingEmbeddingSettings, Settings, Unchecked,
};
use meilisearch_types::tasks::KindWithContent;
use tracing::debug;
@ -508,6 +508,17 @@ make_setting_routes!(
camelcase_attr: "prefixSearch",
analytics: PrefixSearchAnalytics
},
{
route: "/chat",
update_verb: put,
value_type: ChatSettings,
err_type: meilisearch_types::deserr::DeserrJsonError<
meilisearch_types::error::deserr_codes::InvalidSettingsIndexChat,
>,
attr: chat,
camelcase_attr: "chat",
analytics: ChatAnalytics
},
);
#[utoipa::path(
@ -597,6 +608,7 @@ pub async fn update_all(
),
facet_search: FacetSearchAnalytics::new(new_settings.facet_search.as_ref().set()),
prefix_search: PrefixSearchAnalytics::new(new_settings.prefix_search.as_ref().set()),
chat: ChatAnalytics::new(new_settings.chat.as_ref().set()),
},
&req,
);

View File

@ -10,8 +10,8 @@ use meilisearch_types::locales::{Locale, LocalizedAttributesRuleView};
use meilisearch_types::milli::update::Setting;
use meilisearch_types::milli::FilterableAttributesRule;
use meilisearch_types::settings::{
FacetingSettings, PaginationSettings, PrefixSearchSettings, ProximityPrecisionView,
RankingRuleView, SettingEmbeddingSettings, TypoSettings,
ChatSettings, FacetingSettings, PaginationSettings, PrefixSearchSettings,
ProximityPrecisionView, RankingRuleView, SettingEmbeddingSettings, TypoSettings,
};
use serde::Serialize;
@ -39,6 +39,7 @@ pub struct SettingsAnalytics {
pub non_separator_tokens: NonSeparatorTokensAnalytics,
pub facet_search: FacetSearchAnalytics,
pub prefix_search: PrefixSearchAnalytics,
pub chat: ChatAnalytics,
}
impl Aggregate for SettingsAnalytics {
@ -198,6 +199,7 @@ impl Aggregate for SettingsAnalytics {
set: new.prefix_search.set | self.prefix_search.set,
value: new.prefix_search.value.or(self.prefix_search.value),
},
chat: ChatAnalytics { set: new.chat.set | self.chat.set },
})
}
@ -674,3 +676,18 @@ impl PrefixSearchAnalytics {
SettingsAnalytics { prefix_search: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct ChatAnalytics {
pub set: bool,
}
impl ChatAnalytics {
pub fn new(settings: Option<&ChatSettings>) -> Self {
Self { set: settings.is_some() }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { chat: self, ..Default::default() }
}
}

View File

@ -52,6 +52,7 @@ const PAGINATION_DEFAULT_LIMIT_FN: fn() -> usize = || 20;
mod api_key;
pub mod batches;
pub mod chat;
mod dump;
pub mod features;
pub mod indexes;
@ -61,6 +62,7 @@ mod multi_search;
mod multi_search_analytics;
pub mod network;
mod open_api_utils;
pub mod settings;
mod snapshot;
mod swap_indexes;
pub mod tasks;
@ -113,7 +115,9 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
.service(web::scope("/swap-indexes").configure(swap_indexes::configure))
.service(web::scope("/metrics").configure(metrics::configure))
.service(web::scope("/experimental-features").configure(features::configure))
.service(web::scope("/network").configure(network::configure));
.service(web::scope("/network").configure(network::configure))
.service(web::scope("/chat").configure(chat::configure))
.service(web::scope("/settings/chat").configure(settings::chat::configure));
#[cfg(feature = "swagger")]
{

View File

@ -0,0 +1,107 @@
use actix_web::web::{self, Data};
use actix_web::HttpResponse;
use index_scheduler::IndexScheduler;
use meilisearch_types::error::ResponseError;
use meilisearch_types::keys::actions;
use serde::{Deserialize, Serialize};
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(
web::resource("")
.route(web::get().to(get_settings))
.route(web::patch().to(SeqHandler(patch_settings))),
);
}
async fn get_settings(
index_scheduler: GuardedData<
ActionPolicy<{ actions::CHAT_SETTINGS_GET }>,
Data<IndexScheduler>,
>,
) -> Result<HttpResponse, ResponseError> {
let settings = match index_scheduler.chat_settings()? {
Some(value) => serde_json::from_value(value).unwrap(),
None => GlobalChatSettings::default(),
};
Ok(HttpResponse::Ok().json(settings))
}
async fn patch_settings(
index_scheduler: GuardedData<
ActionPolicy<{ actions::CHAT_SETTINGS_UPDATE }>,
Data<IndexScheduler>,
>,
web::Json(chat_settings): web::Json<GlobalChatSettings>,
) -> Result<HttpResponse, ResponseError> {
let chat_settings = serde_json::to_value(chat_settings).unwrap();
index_scheduler.put_chat_settings(&chat_settings)?;
Ok(HttpResponse::Ok().finish())
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
pub struct GlobalChatSettings {
pub source: String,
pub base_api: Option<String>,
pub api_key: Option<String>,
pub prompts: ChatPrompts,
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
pub struct ChatPrompts {
pub system: String,
pub search_description: String,
pub search_q_param: String,
pub search_index_uid_param: String,
pub pre_query: String,
}
#[derive(Debug, Serialize, Deserialize)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
pub struct ChatIndexSettings {
pub description: String,
pub document_template: String,
}
const DEFAULT_SYSTEM_MESSAGE: &str = "You are a highly capable research assistant with access to powerful search tools. IMPORTANT INSTRUCTIONS:\
1. When answering questions, you MUST make multiple tool calls (at least 2-3) to gather comprehensive information.\
2. Use different search queries for each tool call - vary keywords, rephrase questions, and explore different semantic angles to ensure broad coverage.\
3. Always explicitly announce BEFORE making each tool call by saying: \"I'll search for [specific information] now.\"\
4. Combine information from ALL tool calls to provide complete, nuanced answers rather than relying on a single source.\
5. For complex topics, break down your research into multiple targeted queries rather than using a single generic search.";
/// The default description of the searchInIndex tool provided to OpenAI.
const DEFAULT_SEARCH_IN_INDEX_TOOL_DESCRIPTION: &str =
"Search the database for relevant JSON documents using an optional query.";
/// The default description of the searchInIndex `q` parameter tool provided to OpenAI.
const DEFAULT_SEARCH_IN_INDEX_Q_PARAMETER_TOOL_DESCRIPTION: &str =
"The search query string used to find relevant documents in the index. \
This should contain keywords or phrases that best represent what the user is looking for. \
More specific queries will yield more precise results.";
/// The default description of the searchInIndex `index` parameter tool provided to OpenAI.
const DEFAULT_SEARCH_IN_INDEX_INDEX_PARAMETER_TOOL_DESCRIPTION: &str =
"The name of the index to search within. An index is a collection of documents organized for search. \
Selecting the right index ensures the most relevant results for the user query";
impl Default for GlobalChatSettings {
fn default() -> Self {
GlobalChatSettings {
source: "openai".to_string(),
base_api: None,
api_key: None,
prompts: ChatPrompts {
system: DEFAULT_SYSTEM_MESSAGE.to_string(),
search_description: DEFAULT_SEARCH_IN_INDEX_TOOL_DESCRIPTION.to_string(),
search_q_param: DEFAULT_SEARCH_IN_INDEX_Q_PARAMETER_TOOL_DESCRIPTION.to_string(),
search_index_uid_param: DEFAULT_SEARCH_IN_INDEX_INDEX_PARAMETER_TOOL_DESCRIPTION
.to_string(),
pre_query: "".to_string(),
},
}
}
}

View File

@ -0,0 +1 @@
pub mod chat;

View File

@ -882,7 +882,7 @@ pub fn add_search_rules(filter: &mut Option<Value>, rules: IndexSearchRules) {
}
}
fn prepare_search<'t>(
pub fn prepare_search<'t>(
index: &'t Index,
rtxn: &'t RoTxn,
query: &'t SearchQuery,

View File

@ -820,6 +820,22 @@ async fn list_api_keys() {
"createdAt": "[ignored]",
"updatedAt": "[ignored]"
},
{
"name": "Default Chat API Key",
"description": "Use it to chat and search from the frontend",
"key": "[ignored]",
"uid": "[ignored]",
"actions": [
"search",
"chat.get"
],
"indexes": [
"*"
],
"expiresAt": null,
"createdAt": "[ignored]",
"updatedAt": "[ignored]"
},
{
"name": "Default Search API Key",
"description": "Use it to search from the frontend",

View File

@ -32,13 +32,13 @@ impl ExternalDocumentsIds {
&self,
rtxn: &RoTxn<'_>,
external_id: A,
) -> heed::Result<Option<u32>> {
) -> heed::Result<Option<DocumentId>> {
self.0.get(rtxn, external_id.as_ref())
}
/// An helper function to debug this type, returns an `HashMap` of both,
/// soft and hard fst maps, combined.
pub fn to_hash_map(&self, rtxn: &RoTxn<'_>) -> heed::Result<HashMap<String, u32>> {
pub fn to_hash_map(&self, rtxn: &RoTxn<'_>) -> heed::Result<HashMap<String, DocumentId>> {
let mut map = HashMap::default();
for result in self.0.iter(rtxn)? {
let (external, internal) = result?;

View File

@ -7,6 +7,7 @@ use crate::FieldId;
mod global;
pub mod metadata;
pub use global::GlobalFieldsIdsMap;
pub use metadata::{FieldIdMapWithMetadata, MetadataBuilder};
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FieldsIdsMap {

View File

@ -23,6 +23,7 @@ use crate::heed_codec::facet::{
use crate::heed_codec::version::VersionCodec;
use crate::heed_codec::{BEU16StrCodec, FstSetCodec, StrBEU16Codec, StrRefCodec};
use crate::order_by_map::OrderByMap;
use crate::prompt::PromptData;
use crate::proximity::ProximityPrecision;
use crate::vector::{ArroyStats, ArroyWrapper, Embedding, EmbeddingConfig};
use crate::{
@ -79,6 +80,7 @@ pub mod main_key {
pub const PREFIX_SEARCH: &str = "prefix_search";
pub const DOCUMENTS_STATS: &str = "documents_stats";
pub const DISABLED_TYPOS_TERMS: &str = "disabled_typos_terms";
pub const CHAT: &str = "chat";
}
pub mod db_name {
@ -1691,6 +1693,25 @@ impl Index {
self.main.remap_key_type::<Str>().delete(txn, main_key::FACET_SEARCH)
}
pub fn chat_config(&self, txn: &RoTxn<'_>) -> heed::Result<ChatConfig> {
self.main
.remap_types::<Str, SerdeBincode<_>>()
.get(txn, main_key::CHAT)
.map(|o| o.unwrap_or_default())
}
pub(crate) fn put_chat_config(
&self,
txn: &mut RwTxn<'_>,
val: &ChatConfig,
) -> heed::Result<()> {
self.main.remap_types::<Str, SerdeBincode<_>>().put(txn, main_key::CHAT, &val)
}
pub(crate) fn delete_chat_config(&self, txn: &mut RwTxn<'_>) -> heed::Result<bool> {
self.main.remap_key_type::<Str>().delete(txn, main_key::CHAT)
}
pub fn localized_attributes_rules(
&self,
rtxn: &RoTxn<'_>,
@ -1917,6 +1938,13 @@ pub struct IndexEmbeddingConfig {
pub user_provided: RoaringBitmap,
}
#[derive(Debug, Default, Deserialize, Serialize)]
pub struct ChatConfig {
pub description: String,
/// Contains the document template and max template length.
pub prompt: PromptData,
}
#[derive(Debug, Deserialize, Serialize)]
pub struct PrefixSettings {
pub prefix_count_threshold: usize,

View File

@ -52,18 +52,19 @@ pub use search::new::{
};
use serde_json::Value;
pub use thread_pool_no_abort::{PanicCatched, ThreadPoolNoAbort, ThreadPoolNoAbortBuilder};
pub use {charabia as tokenizer, heed, rhai};
pub use {arroy, charabia as tokenizer, heed, rhai};
pub use self::asc_desc::{AscDesc, AscDescError, Member, SortError};
pub use self::attribute_patterns::AttributePatterns;
pub use self::attribute_patterns::PatternMatch;
pub use self::attribute_patterns::{AttributePatterns, PatternMatch};
pub use self::criterion::{default_criteria, Criterion, CriterionError};
pub use self::error::{
Error, FieldIdMapMissingEntry, InternalError, SerializationError, UserError,
};
pub use self::external_documents_ids::ExternalDocumentsIds;
pub use self::fieldids_weights_map::FieldidsWeightsMap;
pub use self::fields_ids_map::{FieldsIdsMap, GlobalFieldsIdsMap};
pub use self::fields_ids_map::{
FieldIdMapWithMetadata, FieldsIdsMap, GlobalFieldsIdsMap, MetadataBuilder,
};
pub use self::filterable_attributes_rules::{
FilterFeatures, FilterableAttributesFeatures, FilterableAttributesPatterns,
FilterableAttributesRule,
@ -84,8 +85,6 @@ pub use self::search::{
};
pub use self::update::ChannelCongestion;
pub use arroy;
pub type Result<T> = std::result::Result<T, error::Error>;
pub type Attribute = u32;

View File

@ -0,0 +1,45 @@
use deserr::Deserr;
use serde::{Deserialize, Serialize};
use utoipa::ToSchema;
use crate::index::ChatConfig;
use crate::prompt::{default_max_bytes, PromptData};
use crate::update::Setting;
#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Eq, Deserr, ToSchema)]
#[serde(deny_unknown_fields, rename_all = "camelCase")]
#[deserr(deny_unknown_fields, rename_all = camelCase)]
pub struct ChatSettings {
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<String>)]
pub description: Setting<String>,
/// A liquid template used to render documents to a text that can be embedded.
///
/// Meillisearch interpolates the template for each document and sends the resulting text to the embedder.
/// The embedder then generates document vectors based on this text.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<String>)]
pub document_template: Setting<String>,
/// Rendered texts are truncated to this size. Defaults to 400.
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<usize>)]
pub document_template_max_bytes: Setting<usize>,
}
impl From<ChatConfig> for ChatSettings {
fn from(config: ChatConfig) -> Self {
let ChatConfig { description, prompt: PromptData { template, max_bytes } } = config;
ChatSettings {
description: Setting::Set(description),
document_template: Setting::Set(template),
document_template_max_bytes: Setting::Set(
max_bytes.unwrap_or(default_max_bytes()).get(),
),
}
}
}

View File

@ -1,4 +1,5 @@
pub use self::available_ids::AvailableIds;
pub use self::chat::ChatSettings;
pub use self::clear_documents::ClearDocuments;
pub use self::concurrent_available_ids::ConcurrentAvailableIds;
pub use self::facet::bulk::FacetsUpdateBulk;
@ -13,6 +14,7 @@ pub use self::words_prefix_integer_docids::WordPrefixIntegerDocids;
pub use self::words_prefixes_fst::WordsPrefixesFst;
mod available_ids;
mod chat;
mod clear_documents;
mod concurrent_available_ids;
pub(crate) mod del_add;

View File

@ -13,7 +13,7 @@ use time::OffsetDateTime;
use super::del_add::{DelAdd, DelAddOperation};
use super::index_documents::{IndexDocumentsConfig, Transform};
use super::IndexerConfig;
use super::{ChatSettings, IndexerConfig};
use crate::attribute_patterns::PatternMatch;
use crate::constants::RESERVED_GEO_FIELD_NAME;
use crate::criterion::Criterion;
@ -22,11 +22,11 @@ use crate::error::UserError;
use crate::fields_ids_map::metadata::{FieldIdMapWithMetadata, MetadataBuilder};
use crate::filterable_attributes_rules::match_faceted_field;
use crate::index::{
IndexEmbeddingConfig, PrefixSearch, DEFAULT_MIN_WORD_LEN_ONE_TYPO,
ChatConfig, IndexEmbeddingConfig, PrefixSearch, DEFAULT_MIN_WORD_LEN_ONE_TYPO,
DEFAULT_MIN_WORD_LEN_TWO_TYPOS,
};
use crate::order_by_map::OrderByMap;
use crate::prompt::default_max_bytes;
use crate::prompt::{default_max_bytes, PromptData};
use crate::proximity::ProximityPrecision;
use crate::update::index_documents::IndexDocumentsMethod;
use crate::update::{IndexDocuments, UpdateIndexingStep};
@ -185,6 +185,7 @@ pub struct Settings<'a, 't, 'i> {
localized_attributes_rules: Setting<Vec<LocalizedAttributesRule>>,
prefix_search: Setting<PrefixSearch>,
facet_search: Setting<bool>,
chat: Setting<ChatSettings>,
}
impl<'a, 't, 'i> Settings<'a, 't, 'i> {
@ -223,6 +224,7 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
localized_attributes_rules: Setting::NotSet,
prefix_search: Setting::NotSet,
facet_search: Setting::NotSet,
chat: Setting::NotSet,
indexer_config,
}
}
@ -453,6 +455,14 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
self.facet_search = Setting::Reset;
}
pub fn set_chat(&mut self, value: ChatSettings) {
self.chat = Setting::Set(value);
}
pub fn reset_chat(&mut self) {
self.chat = Setting::Reset;
}
#[tracing::instrument(
level = "trace"
skip(self, progress_callback, should_abort, settings_diff),
@ -1239,6 +1249,45 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
Ok(())
}
fn update_chat_config(&mut self) -> heed::Result<bool> {
match &mut self.chat {
Setting::Set(ChatSettings {
description: new_description,
document_template: new_document_template,
document_template_max_bytes: new_document_template_max_bytes,
}) => {
let mut old = self.index.chat_config(self.wtxn)?;
let ChatConfig {
ref mut description,
prompt: PromptData { ref mut template, ref mut max_bytes },
} = old;
match new_description {
Setting::Set(d) => *description = d.clone(),
Setting::Reset => *description = Default::default(),
Setting::NotSet => (),
}
match new_document_template {
Setting::Set(dt) => *template = dt.clone(),
Setting::Reset => *template = Default::default(),
Setting::NotSet => (),
}
match new_document_template_max_bytes {
Setting::Set(m) => *max_bytes = NonZeroUsize::new(*m),
Setting::Reset => *max_bytes = Some(default_max_bytes()),
Setting::NotSet => (),
}
self.index.put_chat_config(self.wtxn, &old)?;
Ok(true)
}
Setting::Reset => self.index.delete_chat_config(self.wtxn),
Setting::NotSet => Ok(false),
}
}
pub fn execute<FP, FA>(mut self, progress_callback: FP, should_abort: FA) -> Result<()>
where
FP: Fn(UpdateIndexingStep) + Sync,
@ -1276,6 +1325,7 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
self.update_facet_search()?;
self.update_localized_attributes_rules()?;
self.update_disabled_typos_terms()?;
self.update_chat_config()?;
let embedding_config_updates = self.update_embedding_configs()?;

View File

@ -33,6 +33,7 @@ pub struct EmbeddingSettings {
///
/// - Defaults to `openAi`
pub source: Setting<EmbedderSource>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<String>)]
@ -55,6 +56,7 @@ pub struct EmbeddingSettings {
/// - For source `openAi`, defaults to `text-embedding-3-small`
/// - For source `huggingFace`, defaults to `BAAI/bge-base-en-v1.5`
pub model: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<String>)]
@ -75,6 +77,7 @@ pub struct EmbeddingSettings {
/// - When `model` is set to default, defaults to `617ca489d9e86b49b8167676d8220688b99db36e`
/// - Otherwise, defaults to `null`
pub revision: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<OverridePooling>)]
@ -96,6 +99,7 @@ pub struct EmbeddingSettings {
///
/// - Embedders created before this parameter was available default to `forceMean` to preserve the existing behavior.
pub pooling: Setting<OverridePooling>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<String>)]
@ -118,6 +122,7 @@ pub struct EmbeddingSettings {
///
/// - This setting is partially hidden when returned by the settings
pub api_key: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<String>)]
@ -141,6 +146,7 @@ pub struct EmbeddingSettings {
/// - For source `openAi`, the dimensions is the maximum allowed by the model.
/// - For sources `ollama` and `rest`, the dimensions are inferred by embedding a sample text.
pub dimensions: Setting<usize>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<bool>)]
@ -167,6 +173,7 @@ pub struct EmbeddingSettings {
/// first enabling it. If you are unsure of whether the performance-relevancy tradeoff is right for you,
/// we recommend to use this parameter on a test index first.
pub binary_quantized: Setting<bool>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<bool>)]
@ -183,6 +190,7 @@ pub struct EmbeddingSettings {
///
/// - ๐Ÿ—๏ธ When modified, embeddings are regenerated for documents whose rendering through the template produces a different text.
pub document_template: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<usize>)]
@ -201,6 +209,7 @@ pub struct EmbeddingSettings {
///
/// - Defaults to 400
pub document_template_max_bytes: Setting<usize>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<String>)]
@ -219,6 +228,7 @@ pub struct EmbeddingSettings {
/// - ๐ŸŒฑ When modified for source `openAi`, embeddings are never regenerated
/// - ๐Ÿ—๏ธ When modified for sources `ollama` and `rest`, embeddings are always regenerated
pub url: Setting<String>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<serde_json::Value>)]
@ -236,6 +246,7 @@ pub struct EmbeddingSettings {
///
/// - ๐Ÿ—๏ธ Changing the value of this parameter always regenerates embeddings
pub request: Setting<serde_json::Value>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<serde_json::Value>)]
@ -253,6 +264,7 @@ pub struct EmbeddingSettings {
///
/// - ๐Ÿ—๏ธ Changing the value of this parameter always regenerates embeddings
pub response: Setting<serde_json::Value>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default)]
#[schema(value_type = Option<BTreeMap<String, String>>)]