Fail upgrade for indexes starting with fail-

- take a long time to upgrade for indexes starting with `long-`

Cargo.toml

@@ -22,7 +22,7 @@ members = [
 ]
 
 [workspace.package]
-version = "1.15.0"
+version = "1.15.2"
 authors = [
     "Quentin de Quelen <quentin@dequelen.me>",
     "Clément Renault <clement@meilisearch.com>",

crates/benchmarks/Cargo.toml

@@ -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"]

crates/benchmarks/benches/search_geo.rs

@@ -2,7 +2,8 @@ mod datasets_paths;
 mod utils;
 
 use criterion::{criterion_group, criterion_main};
-use milli::{update::Settings, FilterableAttributesRule};
+use milli::update::Settings;
+use milli::FilterableAttributesRule;
 use utils::Conf;
 
 #[cfg(not(windows))]

crates/benchmarks/benches/search_songs.rs

@@ -2,7 +2,8 @@ mod datasets_paths;
 mod utils;
 
 use criterion::{criterion_group, criterion_main};
-use milli::{update::Settings, FilterableAttributesRule};
+use milli::update::Settings;
+use milli::FilterableAttributesRule;
 use utils::Conf;
 
 #[cfg(not(windows))]

crates/dump/src/lib.rs

@@ -305,6 +305,7 @@ pub(crate) mod test {
             localized_attributes: Setting::NotSet,
             facet_search: Setting::NotSet,
             prefix_search: Setting::NotSet,
+            chat: Setting::NotSet,
             _kind: std::marker::PhantomData,
         };
         settings.check()

crates/dump/src/reader/compat/v5_to_v6.rs

@@ -405,6 +405,7 @@ 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,
         }
     }

crates/index-scheduler/src/features.rs

@@ -131,6 +131,19 @@ impl RoFeatures {
             .into())
         }
     }
+
+    pub fn check_chat_completions(&self, disabled_action: &'static str) -> Result<()> {
+        if self.runtime.chat_completions {
+            Ok(())
+        } else {
+            Err(FeatureNotEnabledError {
+                disabled_action,
+                feature: "chat completions",
+                issue_link: "https://github.com/orgs/meilisearch/discussions/835",
+            }
+            .into())
+        }
+    }
 }
 
 impl FeatureData {

crates/index-scheduler/src/insta_snapshot.rs

@@ -34,6 +34,7 @@ pub fn snapshot_index_scheduler(scheduler: &IndexScheduler) -> String {
         planned_failures: _,
         run_loop_iteration: _,
         embedders: _,
+        chat_settings: _,
     } = scheduler;
 
     let rtxn = env.read_txn().unwrap();

crates/index-scheduler/src/lib.rs

@@ -51,10 +51,12 @@ pub use features::RoFeatures;
 use flate2::bufread::GzEncoder;
 use flate2::Compression;
 use meilisearch_types::batches::Batch;
-use meilisearch_types::features::{InstanceTogglableFeatures, Network, RuntimeTogglableFeatures};
+use meilisearch_types::features::{
+    ChatCompletionSettings, 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::{DecodeIgnore, 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};
@@ -75,6 +77,7 @@ use crate::utils::clamp_to_page_size;
 pub(crate) type BEI128 = I128<BE>;
 
 const TASK_SCHEDULER_SIZE_THRESHOLD_PERCENT_INT: u64 = 40;
+const CHAT_SETTINGS_DB_NAME: &str = "chat-settings";
 
 #[derive(Debug)]
 pub struct IndexSchedulerOptions {
@@ -153,6 +156,9 @@ 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.
+    pub(crate) chat_settings: Database<Str, SerdeJson<ChatCompletionSettings>>,
+
     /// Everything related to the processing of the tasks
     pub scheduler: scheduler::Scheduler,
 
@@ -211,11 +217,16 @@ 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.
@@ -269,6 +280,7 @@ 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_DB_NAME))?;
         wtxn.commit()?;
 
         // allow unreachable_code to get rids of the warning in the case of a test build.
@@ -292,12 +304,17 @@ impl IndexScheduler {
             #[cfg(test)]
             run_loop_iteration: Arc::new(RwLock::new(0)),
             features,
+            chat_settings,
         };
 
         this.run();
         Ok(this)
     }
 
+    fn read_txn(&self) -> Result<RoTxn<WithoutTls>> {
+        self.env.read_txn().map_err(|e| e.into())
+    }
+
     /// Return `Ok(())` if the index scheduler is able to access one of its database.
     pub fn health(&self) -> Result<()> {
         let rtxn = self.env.read_txn()?;
@@ -374,10 +391,6 @@ impl IndexScheduler {
         }
     }
 
-    pub fn read_txn(&self) -> Result<RoTxn<WithoutTls>> {
-        self.env.read_txn().map_err(|e| e.into())
-    }
-
     /// Start the run loop for the given index scheduler.
     ///
     /// This function will execute in a different thread and must be called
@@ -495,7 +508,7 @@ impl IndexScheduler {
 
     /// Returns the total number of indexes available for the specified filter.
     /// And a `Vec` of the index_uid + its stats
-    pub fn get_paginated_indexes_stats(
+    pub fn paginated_indexes_stats(
         &self,
         filters: &meilisearch_auth::AuthFilter,
         from: usize,
@@ -536,6 +549,24 @@ impl IndexScheduler {
         ret.map(|ret| (total, ret))
     }
 
+    /// Returns the total number of chat workspaces available ~~for the specified filter~~.
+    /// And a `Vec` of the workspace_uids
+    pub fn paginated_chat_workspace_uids(
+        &self,
+        from: usize,
+        limit: usize,
+    ) -> Result<(usize, Vec<String>)> {
+        let rtxn = self.read_txn()?;
+        let total = self.chat_settings.len(&rtxn)?;
+        let mut iter = self.chat_settings.iter(&rtxn)?.skip(from);
+        iter.by_ref()
+            .take(limit)
+            .map(|ret| ret.map_err(Error::from))
+            .map(|ret| ret.map(|(uid, _)| uid.to_string()))
+            .collect::<Result<Vec<_>, Error>>()
+            .map(|ret| (total as usize, ret))
+    }
+
     /// The returned structure contains:
     /// 1. The name of the property being observed can be `statuses`, `types`, or `indexes`.
     /// 2. The name of the specific data related to the property can be `enqueued` for the `statuses`, `settingsUpdate` for the `types`, or the name of the index for the `indexes`, for example.
@@ -864,6 +895,31 @@ impl IndexScheduler {
             .collect();
         res.map(EmbeddingConfigs::new)
     }
+
+    pub fn chat_settings(&self, uid: &str) -> Result<Option<ChatCompletionSettings>> {
+        let rtxn = self.env.read_txn()?;
+        self.chat_settings.get(&rtxn, uid).map_err(Into::into)
+    }
+
+    /// Return true if chat workspace exists.
+    pub fn chat_workspace_exists(&self, name: &str) -> Result<bool> {
+        let rtxn = self.env.read_txn()?;
+        Ok(self.chat_settings.remap_data_type::<DecodeIgnore>().get(&rtxn, name)?.is_some())
+    }
+
+    pub fn put_chat_settings(&self, uid: &str, settings: &ChatCompletionSettings) -> Result<()> {
+        let mut wtxn = self.env.write_txn()?;
+        self.chat_settings.put(&mut wtxn, uid, settings)?;
+        wtxn.commit()?;
+        Ok(())
+    }
+
+    pub fn delete_chat_settings(&self, uid: &str) -> Result<bool> {
+        let mut wtxn = self.env.write_txn()?;
+        let deleted = self.chat_settings.delete(&mut wtxn, uid)?;
+        wtxn.commit()?;
+        Ok(deleted)
+    }
 }
 
 /// The outcome of calling the [`IndexScheduler::tick`] function.

crates/index-scheduler/src/scheduler/mod.rs

@@ -375,9 +375,11 @@ impl IndexScheduler {
                 post_commit_dabases_sizes
                     .get(dbname)
                     .map(|post_size| {
-                        use byte_unit::{Byte, UnitType::Binary};
                         use std::cmp::Ordering::{Equal, Greater, Less};
 
+                        use byte_unit::Byte;
+                        use byte_unit::UnitType::Binary;
+
                         let post = Byte::from_u64(*post_size as u64).get_appropriate_unit(Binary);
                         let diff_size = post_size.abs_diff(*pre_size) as u64;
                         let diff = Byte::from_u64(diff_size).get_appropriate_unit(Binary);

crates/index-scheduler/src/scheduler/process_upgrade/mod.rs

@@ -25,6 +25,13 @@ impl IndexScheduler {
                 i as u32,
                 indexes.len() as u32,
             ));
+            if uid.starts_with("long-") {
+                tracing::warn!("taking a long time to upgrade for test purposes");
+                std::thread::sleep(std::time::Duration::from_secs(1200));
+            }
+            if uid.starts_with("fail-") {
+                panic!("failing for test purposes");
+            }
             let index = self.index(uid)?;
             let mut index_wtxn = index.write_txn()?;
             let regen_stats = milli::update::upgrade::upgrade(

crates/index-scheduler/src/scheduler/snapshots/test.rs/test_settings_update/after_registering_settings_task.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:
 enqueued [0,]

crates/index-scheduler/src/scheduler/snapshots/test.rs/test_settings_update/settings_update_processed.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:
 enqueued []

crates/index-scheduler/src/scheduler/snapshots/test_embedders.rs/import_vectors/Intel to kefir succeeds.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, batch_uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
 2 {uid: 2, batch_uid: 2, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
 ----------------------------------------------------------------------

crates/index-scheduler/src/scheduler/snapshots/test_embedders.rs/import_vectors/Intel to kefir.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, batch_uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
 2 {uid: 2, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
 ----------------------------------------------------------------------

crates/index-scheduler/src/scheduler/snapshots/test_embedders.rs/import_vectors/adding Intel succeeds.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, batch_uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:

crates/index-scheduler/src/scheduler/snapshots/test_embedders.rs/import_vectors/after adding Intel.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:

crates/index-scheduler/src/scheduler/snapshots/test_embedders.rs/import_vectors/after_registering_settings_task_vectors.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:
 enqueued [0,]

crates/index-scheduler/src/scheduler/snapshots/test_embedders.rs/import_vectors/settings_update_processed_vectors.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, pooling: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:
 enqueued []

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/fail_in_process_batch_for_document_deletion/after_adding_the_documents.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, batch_uid: 1, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/fail_in_process_batch_for_document_deletion/after_adding_the_settings.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/fail_in_process_batch_for_document_deletion/after_removing_the_documents.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, batch_uid: 1, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
 2 {uid: 2, batch_uid: 2, status: succeeded, details: { received_document_ids: 1, deleted_documents: Some(1) }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1"] }}
 3 {uid: 3, batch_uid: 2, status: failed, error: ResponseError { code: 200, message: "Index `doggos`: Invalid type for filter subexpression: expected: String, Array, found: true.", error_code: "invalid_document_filter", error_type: "invalid_request", error_link: "https://docs.meilisearch.com/errors#invalid_document_filter" }, details: { original_filter: true, deleted_documents: Some(0) }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: Bool(true) }}

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/fail_in_process_batch_for_document_deletion/registered_the_document_deletions.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, batch_uid: 1, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
 2 {uid: 2, status: enqueued, details: { received_document_ids: 1, deleted_documents: None }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1"] }}
 3 {uid: 3, status: enqueued, details: { original_filter: true, deleted_documents: None }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: Bool(true) }}

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/fail_in_process_batch_for_document_deletion/registered_the_setting_and_document_addition.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
+0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("catto")]), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
 1 {uid: 1, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
 ----------------------------------------------------------------------
 ### Status:

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/upgrade_failure/after_processing_everything.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 15, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
 1 {uid: 1, batch_uid: 1, status: succeeded, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
 2 {uid: 2, batch_uid: 2, status: succeeded, details: { primary_key: Some("bone") }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
 3 {uid: 3, batch_uid: 3, status: failed, error: ResponseError { code: 200, message: "Index `doggo` already exists.", error_code: "index_already_exists", error_type: "invalid_request", error_link: "https://docs.meilisearch.com/errors#index_already_exists" }, details: { primary_key: Some("bone") }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
@@ -57,7 +57,7 @@ girafo: { number_of_documents: 0, field_distribution: {} }
 [timestamp] [4,]
 ----------------------------------------------------------------------
 ### All Batches:
-0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.0"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
+0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.2"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
 1 {uid: 1, details: {"primaryKey":"mouse"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 1 of type `indexCreation` that cannot be batched with any other task.", }
 2 {uid: 2, details: {"primaryKey":"bone"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 2 of type `indexCreation` that cannot be batched with any other task.", }
 3 {uid: 3, details: {"primaryKey":"bone"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 3 of type `indexCreation` that cannot be batched with any other task.", }

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/upgrade_failure/register_automatic_upgrade_task.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 15, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
+0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
 ----------------------------------------------------------------------
 ### Status:
 enqueued [0,]

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/upgrade_failure/registered_a_task_while_the_upgrade_task_is_enqueued.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 15, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
+0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
 1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
 ----------------------------------------------------------------------
 ### Status:

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/upgrade_failure/upgrade_task_failed.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 15, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
+0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
 1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
 ----------------------------------------------------------------------
 ### Status:
@@ -37,7 +37,7 @@ catto [1,]
 [timestamp] [0,]
 ----------------------------------------------------------------------
 ### All Batches:
-0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.0"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
+0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.2"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
 ----------------------------------------------------------------------
 ### Batch to tasks mapping:
 0 [0,]

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/upgrade_failure/upgrade_task_failed_again.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 15, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
+0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
 1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
 2 {uid: 2, status: enqueued, details: { primary_key: Some("bone") }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
 ----------------------------------------------------------------------
@@ -40,7 +40,7 @@ doggo [2,]
 [timestamp] [0,]
 ----------------------------------------------------------------------
 ### All Batches:
-0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.0"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
+0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.2"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
 ----------------------------------------------------------------------
 ### Batch to tasks mapping:
 0 [0,]

crates/index-scheduler/src/scheduler/snapshots/test_failure.rs/upgrade_failure/upgrade_task_succeeded.snap

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
 []
 ----------------------------------------------------------------------
 ### All Tasks:
-0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 15, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
+0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
 1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
 2 {uid: 2, status: enqueued, details: { primary_key: Some("bone") }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
 3 {uid: 3, status: enqueued, details: { primary_key: Some("bone") }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
@@ -43,7 +43,7 @@ doggo [2,3,]
 [timestamp] [0,]
 ----------------------------------------------------------------------
 ### All Batches:
-0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.0"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
+0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.15.2"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
 ----------------------------------------------------------------------
 ### Batch to tasks mapping:
 0 [0,]

crates/index-scheduler/src/scheduler/test.rs

@@ -894,7 +894,7 @@ fn create_and_list_index() {
 
     let err = index_scheduler.index("kefir").map(|_| ()).unwrap_err();
     snapshot!(err, @"Index `kefir` not found.");
-    let empty = index_scheduler.get_paginated_indexes_stats(&AuthFilter::default(), 0, 20).unwrap();
+    let empty = index_scheduler.paginated_indexes_stats(&AuthFilter::default(), 0, 20).unwrap();
     snapshot!(format!("{empty:?}"), @"(0, [])");
 
     // After advancing just once the index should've been created, the wtxn has been released and commited
@@ -902,7 +902,7 @@ fn create_and_list_index() {
     handle.advance_till([InsideProcessBatch]);
 
     index_scheduler.index("kefir").unwrap();
-    let list = index_scheduler.get_paginated_indexes_stats(&AuthFilter::default(), 0, 20).unwrap();
+    let list = index_scheduler.paginated_indexes_stats(&AuthFilter::default(), 0, 20).unwrap();
     snapshot!(json_string!(list, { "[1][0][1].created_at" => "[date]", "[1][0][1].updated_at" => "[date]", "[1][0][1].used_database_size" => "[bytes]", "[1][0][1].database_size" => "[bytes]" }), @r###"
     [
       1,

crates/index-scheduler/src/scheduler/test_failure.rs

@@ -2,10 +2,9 @@ use std::time::Instant;
 
 use big_s::S;
 use meili_snap::snapshot;
-use meilisearch_types::milli::obkv_to_json;
 use meilisearch_types::milli::update::IndexDocumentsMethod::*;
 use meilisearch_types::milli::update::Setting;
-use meilisearch_types::milli::FilterableAttributesRule;
+use meilisearch_types::milli::{obkv_to_json, FilterableAttributesRule};
 use meilisearch_types::tasks::{Kind, KindWithContent};
 
 use crate::insta_snapshot::snapshot_index_scheduler;

crates/meilisearch-auth/src/lib.rs

@@ -165,6 +165,7 @@ impl AuthController {
     }
 }
 
+#[derive(Debug)]
 pub struct AuthFilter {
     search_rules: Option<SearchRules>,
     key_authorized_indexes: SearchRules,
@@ -349,6 +350,7 @@ pub struct IndexSearchRules {
 }
 
 fn generate_default_keys(store: &HeedAuthStore) -> Result<()> {
+    store.put_api_key(Key::default_chat())?;
     store.put_api_key(Key::default_admin())?;
     store.put_api_key(Key::default_search())?;
 

crates/meilisearch-auth/src/store.rs

@@ -125,6 +125,12 @@ impl HeedAuthStore {
                 Action::MetricsAll => {
                     actions.insert(Action::MetricsGet);
                 }
+                Action::ChatsAll => {
+                    actions.extend([Action::ChatsGet, Action::ChatsDelete]);
+                }
+                Action::ChatsSettingsAll => {
+                    actions.extend([Action::ChatsSettingsGet, Action::ChatsSettingsUpdate]);
+                }
                 other => {
                     actions.insert(*other);
                 }

crates/meilisearch-types/src/deserr/mod.rs

@@ -4,9 +4,12 @@ use std::marker::PhantomData;
 use std::ops::ControlFlow;
 
 use deserr::errors::{JsonError, QueryParamError};
-use deserr::{take_cf_content, DeserializeError, IntoValue, MergeWithError, ValuePointerRef};
+use deserr::{
+    take_cf_content, DeserializeError, Deserr, IntoValue, MergeWithError, ValuePointerRef,
+};
+use milli::update::ChatSettings;
 
-use crate::error::deserr_codes::*;
+use crate::error::deserr_codes::{self, *};
 use crate::error::{
     Code, DeserrParseBoolError, DeserrParseIntError, ErrorCode, InvalidTaskDateError,
     ParseOffsetDateTimeError,
@@ -33,6 +36,7 @@ pub struct DeserrError<Format, C: Default + ErrorCode> {
     pub code: Code,
     _phantom: PhantomData<(Format, C)>,
 }
+
 impl<Format, C: Default + ErrorCode> DeserrError<Format, C> {
     pub fn new(msg: String, code: Code) -> Self {
         Self { msg, code, _phantom: PhantomData }
@@ -117,6 +121,16 @@ impl<C: Default + ErrorCode> DeserializeError for DeserrQueryParamError<C> {
     }
 }
 
+impl Deserr<DeserrError<DeserrJson, deserr_codes::InvalidSettingsIndexChat>> for ChatSettings {
+    fn deserialize_from_value<V: IntoValue>(
+        value: deserr::Value<V>,
+        location: ValuePointerRef,
+    ) -> Result<Self, DeserrError<DeserrJson, deserr_codes::InvalidSettingsIndexChat>> {
+        Deserr::<JsonError>::deserialize_from_value(value, location)
+            .map_err(|e| DeserrError::new(e.to_string(), InvalidSettingsIndexChat.error_code()))
+    }
+}
+
 pub fn immutable_field_error(field: &str, accepted: &[&str], code: Code) -> DeserrJsonError {
     let msg = format!(
         "Immutable field `{field}`: expected one of {}",

crates/meilisearch-types/src/error.rs

@@ -194,200 +194,220 @@ macro_rules! make_error_codes {
 
 // An exhaustive list of all the error codes used by meilisearch.
 make_error_codes! {
-ApiKeyAlreadyExists                   , InvalidRequest       , CONFLICT ;
-ApiKeyNotFound                        , InvalidRequest       , NOT_FOUND ;
-BadParameter                          , InvalidRequest       , BAD_REQUEST;
-BadRequest                            , InvalidRequest       , BAD_REQUEST;
-DatabaseSizeLimitReached              , Internal             , INTERNAL_SERVER_ERROR;
-DocumentNotFound                      , InvalidRequest       , NOT_FOUND;
-DumpAlreadyProcessing                 , InvalidRequest       , CONFLICT;
-DumpNotFound                          , InvalidRequest       , NOT_FOUND;
-DumpProcessFailed                     , Internal             , INTERNAL_SERVER_ERROR;
-DuplicateIndexFound                   , InvalidRequest       , BAD_REQUEST;
-ImmutableApiKeyActions                , InvalidRequest       , BAD_REQUEST;
-ImmutableApiKeyCreatedAt              , InvalidRequest       , BAD_REQUEST;
-ImmutableApiKeyExpiresAt              , InvalidRequest       , BAD_REQUEST;
-ImmutableApiKeyIndexes                , InvalidRequest       , BAD_REQUEST;
-ImmutableApiKeyKey                    , InvalidRequest       , BAD_REQUEST;
-ImmutableApiKeyUid                    , InvalidRequest       , BAD_REQUEST;
-ImmutableApiKeyUpdatedAt              , InvalidRequest       , BAD_REQUEST;
-ImmutableIndexCreatedAt               , InvalidRequest       , BAD_REQUEST;
-ImmutableIndexUid                     , InvalidRequest       , BAD_REQUEST;
-ImmutableIndexUpdatedAt               , InvalidRequest       , BAD_REQUEST;
-IndexAlreadyExists                    , InvalidRequest       , CONFLICT ;
-IndexCreationFailed                   , Internal             , INTERNAL_SERVER_ERROR;
-IndexNotFound                         , InvalidRequest       , NOT_FOUND;
-IndexPrimaryKeyAlreadyExists          , InvalidRequest       , BAD_REQUEST ;
-IndexPrimaryKeyMultipleCandidatesFound, InvalidRequest       , BAD_REQUEST;
-IndexPrimaryKeyNoCandidateFound       , InvalidRequest       , BAD_REQUEST ;
-Internal                              , Internal             , INTERNAL_SERVER_ERROR ;
-InvalidApiKey                         , Auth                 , FORBIDDEN ;
-InvalidApiKeyActions                  , InvalidRequest       , BAD_REQUEST ;
-InvalidApiKeyDescription              , InvalidRequest       , BAD_REQUEST ;
-InvalidApiKeyExpiresAt                , InvalidRequest       , BAD_REQUEST ;
-InvalidApiKeyIndexes                  , InvalidRequest       , BAD_REQUEST ;
-InvalidApiKeyLimit                    , InvalidRequest       , BAD_REQUEST ;
-InvalidApiKeyName                     , InvalidRequest       , BAD_REQUEST ;
-InvalidApiKeyOffset                   , InvalidRequest       , BAD_REQUEST ;
-InvalidApiKeyUid                      , InvalidRequest       , BAD_REQUEST ;
-InvalidContentType                    , InvalidRequest       , UNSUPPORTED_MEDIA_TYPE ;
-InvalidDocumentCsvDelimiter           , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentFields                 , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentRetrieveVectors        , InvalidRequest       , BAD_REQUEST ;
-MissingDocumentFilter                 , InvalidRequest       , BAD_REQUEST ;
-MissingDocumentEditionFunction        , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentFilter                 , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentGeoField               , InvalidRequest       , BAD_REQUEST ;
-InvalidVectorDimensions               , InvalidRequest       , BAD_REQUEST ;
-InvalidVectorsType                    , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentId                     , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentIds                    , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentLimit                  , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentOffset                 , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchEmbedder                 , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarEmbedder                , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchHybridQuery              , InvalidRequest       , BAD_REQUEST ;
-InvalidIndexLimit                     , InvalidRequest       , BAD_REQUEST ;
-InvalidIndexOffset                    , InvalidRequest       , BAD_REQUEST ;
-InvalidIndexPrimaryKey                , InvalidRequest       , BAD_REQUEST ;
-InvalidIndexUid                       , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchFacets              , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchFacetsByIndex       , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchFacetOrder          , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchFederated           , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchFederationOptions   , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchMaxValuesPerFacet   , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchMergeFacets         , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchQueryFacets         , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchQueryPagination     , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchQueryRankingRules   , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchQueryPosition       , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchRemote              , InvalidRequest       , BAD_REQUEST ;
-InvalidMultiSearchWeight              , InvalidRequest       , BAD_REQUEST ;
-InvalidNetworkRemotes                 , InvalidRequest       , BAD_REQUEST ;
-InvalidNetworkSelf                    , InvalidRequest       , BAD_REQUEST ;
-InvalidNetworkSearchApiKey            , InvalidRequest       , BAD_REQUEST ;
-InvalidNetworkUrl                     , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchAttributesToSearchOn     , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchAttributesToCrop         , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchAttributesToHighlight    , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarAttributesToRetrieve    , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarRetrieveVectors         , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchAttributesToRetrieve     , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchRankingScoreThreshold    , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarRankingScoreThreshold   , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchRetrieveVectors          , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchCropLength               , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchCropMarker               , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchFacets                   , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchSemanticRatio            , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchLocales                  , InvalidRequest       , BAD_REQUEST ;
-InvalidFacetSearchExhaustiveFacetCount, InvalidRequest       , BAD_REQUEST ;
-InvalidFacetSearchFacetName           , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarId                      , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchFilter                   , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarFilter                  , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchHighlightPostTag         , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchHighlightPreTag          , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchHitsPerPage              , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarLimit                   , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchLimit                    , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchMatchingStrategy         , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarOffset                  , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchOffset                   , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchPage                     , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchQ                        , InvalidRequest       , BAD_REQUEST ;
-InvalidFacetSearchQuery               , InvalidRequest       , BAD_REQUEST ;
-InvalidFacetSearchName                , InvalidRequest       , BAD_REQUEST ;
-FacetSearchDisabled                   , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchVector                   , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchShowMatchesPosition      , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchShowRankingScore         , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarShowRankingScore        , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchShowRankingScoreDetails  , InvalidRequest       , BAD_REQUEST ;
-InvalidSimilarShowRankingScoreDetails , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchSort                     , InvalidRequest       , BAD_REQUEST ;
-InvalidSearchDistinct                 , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsDisplayedAttributes    , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsDistinctAttribute      , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsProximityPrecision     , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsFacetSearch            , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsPrefixSearch           , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsFaceting               , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsFilterableAttributes   , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsPagination             , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsSearchCutoffMs         , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsEmbedders              , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsRankingRules           , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsSearchableAttributes   , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsSortableAttributes     , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsStopWords              , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsNonSeparatorTokens     , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsSeparatorTokens        , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsDictionary             , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsSynonyms               , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsTypoTolerance          , InvalidRequest       , BAD_REQUEST ;
-InvalidSettingsLocalizedAttributes    , InvalidRequest       , BAD_REQUEST ;
-InvalidState                          , Internal             , INTERNAL_SERVER_ERROR ;
-InvalidStoreFile                      , Internal             , INTERNAL_SERVER_ERROR ;
-InvalidSwapDuplicateIndexFound        , InvalidRequest       , BAD_REQUEST ;
-InvalidSwapIndexes                    , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskAfterEnqueuedAt            , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskAfterFinishedAt            , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskAfterStartedAt             , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskBeforeEnqueuedAt           , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskBeforeFinishedAt           , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskBeforeStartedAt            , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskCanceledBy                 , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskFrom                       , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskLimit                      , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskReverse                    , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskStatuses                   , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskTypes                      , InvalidRequest       , BAD_REQUEST ;
-InvalidTaskUids                       , InvalidRequest       , BAD_REQUEST  ;
-InvalidBatchUids                      , InvalidRequest       , BAD_REQUEST  ;
-IoError                               , System               , UNPROCESSABLE_ENTITY;
-FeatureNotEnabled                     , InvalidRequest       , BAD_REQUEST ;
-MalformedPayload                      , InvalidRequest       , BAD_REQUEST ;
-MaxFieldsLimitExceeded                , InvalidRequest       , BAD_REQUEST ;
-MissingApiKeyActions                  , InvalidRequest       , BAD_REQUEST ;
-MissingApiKeyExpiresAt                , InvalidRequest       , BAD_REQUEST ;
-MissingApiKeyIndexes                  , InvalidRequest       , BAD_REQUEST ;
-MissingAuthorizationHeader            , Auth                 , UNAUTHORIZED ;
-MissingContentType                    , InvalidRequest       , UNSUPPORTED_MEDIA_TYPE ;
-MissingDocumentId                     , InvalidRequest       , BAD_REQUEST ;
-MissingFacetSearchFacetName           , InvalidRequest       , BAD_REQUEST ;
-MissingIndexUid                       , InvalidRequest       , BAD_REQUEST ;
-MissingMasterKey                      , Auth                 , UNAUTHORIZED ;
-MissingNetworkUrl                     , InvalidRequest       , BAD_REQUEST ;
-MissingPayload                        , InvalidRequest       , BAD_REQUEST ;
-MissingSearchHybrid                   , InvalidRequest       , BAD_REQUEST ;
-MissingSwapIndexes                    , InvalidRequest       , BAD_REQUEST ;
-MissingTaskFilters                    , InvalidRequest       , BAD_REQUEST ;
-NoSpaceLeftOnDevice                   , System               , UNPROCESSABLE_ENTITY;
-PayloadTooLarge                       , InvalidRequest       , PAYLOAD_TOO_LARGE ;
-RemoteBadResponse                     , System               , BAD_GATEWAY ;
-RemoteBadRequest                      , InvalidRequest       , BAD_REQUEST ;
-RemoteCouldNotSendRequest             , System               , BAD_GATEWAY ;
-RemoteInvalidApiKey                   , Auth                 , FORBIDDEN ;
-RemoteRemoteError                     , System               , BAD_GATEWAY ;
-RemoteTimeout                         , System               , BAD_GATEWAY ;
-TooManySearchRequests                 , System               , SERVICE_UNAVAILABLE ;
-TaskNotFound                          , InvalidRequest       , NOT_FOUND ;
-TaskFileNotFound                      , InvalidRequest       , NOT_FOUND ;
-BatchNotFound                         , InvalidRequest       , NOT_FOUND ;
-TooManyOpenFiles                      , System               , UNPROCESSABLE_ENTITY ;
-TooManyVectors                        , InvalidRequest       , BAD_REQUEST ;
-UnretrievableDocument                 , Internal             , BAD_REQUEST ;
-UnretrievableErrorCode                , InvalidRequest       , BAD_REQUEST ;
-UnsupportedMediaType                  , InvalidRequest       , UNSUPPORTED_MEDIA_TYPE ;
+ApiKeyAlreadyExists                            , InvalidRequest       , CONFLICT ;
+ApiKeyNotFound                                 , InvalidRequest       , NOT_FOUND ;
+BadParameter                                   , InvalidRequest       , BAD_REQUEST;
+BadRequest                                     , InvalidRequest       , BAD_REQUEST;
+DatabaseSizeLimitReached                       , Internal             , INTERNAL_SERVER_ERROR;
+DocumentNotFound                               , InvalidRequest       , NOT_FOUND;
+DumpAlreadyProcessing                          , InvalidRequest       , CONFLICT;
+DumpNotFound                                   , InvalidRequest       , NOT_FOUND;
+DumpProcessFailed                              , Internal             , INTERNAL_SERVER_ERROR;
+DuplicateIndexFound                            , InvalidRequest       , BAD_REQUEST;
+ImmutableApiKeyActions                         , InvalidRequest       , BAD_REQUEST;
+ImmutableApiKeyCreatedAt                       , InvalidRequest       , BAD_REQUEST;
+ImmutableApiKeyExpiresAt                       , InvalidRequest       , BAD_REQUEST;
+ImmutableApiKeyIndexes                         , InvalidRequest       , BAD_REQUEST;
+ImmutableApiKeyKey                             , InvalidRequest       , BAD_REQUEST;
+ImmutableApiKeyUid                             , InvalidRequest       , BAD_REQUEST;
+ImmutableApiKeyUpdatedAt                       , InvalidRequest       , BAD_REQUEST;
+ImmutableIndexCreatedAt                        , InvalidRequest       , BAD_REQUEST;
+ImmutableIndexUid                              , InvalidRequest       , BAD_REQUEST;
+ImmutableIndexUpdatedAt                        , InvalidRequest       , BAD_REQUEST;
+IndexAlreadyExists                             , InvalidRequest       , CONFLICT ;
+IndexCreationFailed                            , Internal             , INTERNAL_SERVER_ERROR;
+IndexNotFound                                  , InvalidRequest       , NOT_FOUND;
+IndexPrimaryKeyAlreadyExists                   , InvalidRequest       , BAD_REQUEST ;
+IndexPrimaryKeyMultipleCandidatesFound         , InvalidRequest       , BAD_REQUEST;
+IndexPrimaryKeyNoCandidateFound                , InvalidRequest       , BAD_REQUEST ;
+Internal                                       , Internal             , INTERNAL_SERVER_ERROR ;
+InvalidApiKey                                  , Auth                 , FORBIDDEN ;
+InvalidApiKeyActions                           , InvalidRequest       , BAD_REQUEST ;
+InvalidApiKeyDescription                       , InvalidRequest       , BAD_REQUEST ;
+InvalidApiKeyExpiresAt                         , InvalidRequest       , BAD_REQUEST ;
+InvalidApiKeyIndexes                           , InvalidRequest       , BAD_REQUEST ;
+InvalidApiKeyLimit                             , InvalidRequest       , BAD_REQUEST ;
+InvalidApiKeyName                              , InvalidRequest       , BAD_REQUEST ;
+InvalidApiKeyOffset                            , InvalidRequest       , BAD_REQUEST ;
+InvalidApiKeyUid                               , InvalidRequest       , BAD_REQUEST ;
+InvalidContentType                             , InvalidRequest       , UNSUPPORTED_MEDIA_TYPE ;
+InvalidDocumentCsvDelimiter                    , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentFields                          , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentRetrieveVectors                 , InvalidRequest       , BAD_REQUEST ;
+MissingDocumentFilter                          , InvalidRequest       , BAD_REQUEST ;
+MissingDocumentEditionFunction                 , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentFilter                          , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentGeoField                        , InvalidRequest       , BAD_REQUEST ;
+InvalidVectorDimensions                        , InvalidRequest       , BAD_REQUEST ;
+InvalidVectorsType                             , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentId                              , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentIds                             , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentLimit                           , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentOffset                          , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchEmbedder                          , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarEmbedder                         , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchHybridQuery                       , InvalidRequest       , BAD_REQUEST ;
+InvalidIndexLimit                              , InvalidRequest       , BAD_REQUEST ;
+InvalidIndexOffset                             , InvalidRequest       , BAD_REQUEST ;
+InvalidIndexPrimaryKey                         , InvalidRequest       , BAD_REQUEST ;
+InvalidIndexUid                                , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchFacets                       , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchFacetsByIndex                , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchFacetOrder                   , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchFederated                    , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchFederationOptions            , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchMaxValuesPerFacet            , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchMergeFacets                  , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchQueryFacets                  , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchQueryPagination              , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchQueryRankingRules            , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchQueryPosition                , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchRemote                       , InvalidRequest       , BAD_REQUEST ;
+InvalidMultiSearchWeight                       , InvalidRequest       , BAD_REQUEST ;
+InvalidNetworkRemotes                          , InvalidRequest       , BAD_REQUEST ;
+InvalidNetworkSelf                             , InvalidRequest       , BAD_REQUEST ;
+InvalidNetworkSearchApiKey                     , InvalidRequest       , BAD_REQUEST ;
+InvalidNetworkUrl                              , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchAttributesToSearchOn              , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchAttributesToCrop                  , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchAttributesToHighlight             , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarAttributesToRetrieve             , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarRetrieveVectors                  , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchAttributesToRetrieve              , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchRankingScoreThreshold             , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarRankingScoreThreshold            , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchRetrieveVectors                   , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchCropLength                        , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchCropMarker                        , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchFacets                            , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchSemanticRatio                     , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchLocales                           , InvalidRequest       , BAD_REQUEST ;
+InvalidFacetSearchExhaustiveFacetCount         , InvalidRequest       , BAD_REQUEST ;
+InvalidFacetSearchFacetName                    , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarId                               , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchFilter                            , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarFilter                           , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchHighlightPostTag                  , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchHighlightPreTag                   , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchHitsPerPage                       , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarLimit                            , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchLimit                             , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchMatchingStrategy                  , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarOffset                           , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchOffset                            , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchPage                              , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchQ                                 , InvalidRequest       , BAD_REQUEST ;
+InvalidFacetSearchQuery                        , InvalidRequest       , BAD_REQUEST ;
+InvalidFacetSearchName                         , InvalidRequest       , BAD_REQUEST ;
+FacetSearchDisabled                            , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchVector                            , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchShowMatchesPosition               , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchShowRankingScore                  , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarShowRankingScore                 , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchShowRankingScoreDetails           , InvalidRequest       , BAD_REQUEST ;
+InvalidSimilarShowRankingScoreDetails          , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchSort                              , InvalidRequest       , BAD_REQUEST ;
+InvalidSearchDistinct                          , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsDisplayedAttributes             , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsDistinctAttribute               , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsProximityPrecision              , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsFacetSearch                     , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsPrefixSearch                    , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsFaceting                        , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsFilterableAttributes            , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsPagination                      , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsSearchCutoffMs                  , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsEmbedders                       , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsRankingRules                    , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsSearchableAttributes            , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsSortableAttributes              , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsStopWords                       , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsNonSeparatorTokens              , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsSeparatorTokens                 , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsDictionary                      , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsSynonyms                        , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsTypoTolerance                   , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsLocalizedAttributes             , InvalidRequest       , BAD_REQUEST ;
+InvalidState                                   , Internal             , INTERNAL_SERVER_ERROR ;
+InvalidStoreFile                               , Internal             , INTERNAL_SERVER_ERROR ;
+InvalidSwapDuplicateIndexFound                 , InvalidRequest       , BAD_REQUEST ;
+InvalidSwapIndexes                             , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskAfterEnqueuedAt                     , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskAfterFinishedAt                     , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskAfterStartedAt                      , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskBeforeEnqueuedAt                    , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskBeforeFinishedAt                    , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskBeforeStartedAt                     , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskCanceledBy                          , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskFrom                                , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskLimit                               , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskReverse                             , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskStatuses                            , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskTypes                               , InvalidRequest       , BAD_REQUEST ;
+InvalidTaskUids                                , InvalidRequest       , BAD_REQUEST  ;
+InvalidBatchUids                               , InvalidRequest       , BAD_REQUEST  ;
+IoError                                        , System               , UNPROCESSABLE_ENTITY;
+FeatureNotEnabled                              , InvalidRequest       , BAD_REQUEST ;
+MalformedPayload                               , InvalidRequest       , BAD_REQUEST ;
+MaxFieldsLimitExceeded                         , InvalidRequest       , BAD_REQUEST ;
+MissingApiKeyActions                           , InvalidRequest       , BAD_REQUEST ;
+MissingApiKeyExpiresAt                         , InvalidRequest       , BAD_REQUEST ;
+MissingApiKeyIndexes                           , InvalidRequest       , BAD_REQUEST ;
+MissingAuthorizationHeader                     , Auth                 , UNAUTHORIZED ;
+MissingContentType                             , InvalidRequest       , UNSUPPORTED_MEDIA_TYPE ;
+MissingDocumentId                              , InvalidRequest       , BAD_REQUEST ;
+MissingFacetSearchFacetName                    , InvalidRequest       , BAD_REQUEST ;
+MissingIndexUid                                , InvalidRequest       , BAD_REQUEST ;
+MissingMasterKey                               , Auth                 , UNAUTHORIZED ;
+MissingNetworkUrl                              , InvalidRequest       , BAD_REQUEST ;
+MissingPayload                                 , InvalidRequest       , BAD_REQUEST ;
+MissingSearchHybrid                            , InvalidRequest       , BAD_REQUEST ;
+MissingSwapIndexes                             , InvalidRequest       , BAD_REQUEST ;
+MissingTaskFilters                             , InvalidRequest       , BAD_REQUEST ;
+NoSpaceLeftOnDevice                            , System               , UNPROCESSABLE_ENTITY;
+PayloadTooLarge                                , InvalidRequest       , PAYLOAD_TOO_LARGE ;
+RemoteBadResponse                              , System               , BAD_GATEWAY ;
+RemoteBadRequest                               , InvalidRequest       , BAD_REQUEST ;
+RemoteCouldNotSendRequest                      , System               , BAD_GATEWAY ;
+RemoteInvalidApiKey                            , Auth                 , FORBIDDEN ;
+RemoteRemoteError                              , System               , BAD_GATEWAY ;
+RemoteTimeout                                  , System               , BAD_GATEWAY ;
+TooManySearchRequests                          , System               , SERVICE_UNAVAILABLE ;
+TaskNotFound                                   , InvalidRequest       , NOT_FOUND ;
+TaskFileNotFound                               , InvalidRequest       , NOT_FOUND ;
+BatchNotFound                                  , InvalidRequest       , NOT_FOUND ;
+TooManyOpenFiles                               , System               , UNPROCESSABLE_ENTITY ;
+TooManyVectors                                 , InvalidRequest       , BAD_REQUEST ;
+UnretrievableDocument                          , Internal             , BAD_REQUEST ;
+UnretrievableErrorCode                         , InvalidRequest       , BAD_REQUEST ;
+UnsupportedMediaType                           , InvalidRequest       , UNSUPPORTED_MEDIA_TYPE ;
 
 // Experimental features
-VectorEmbeddingError                  , InvalidRequest       , BAD_REQUEST ;
-NotFoundSimilarId                     , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentEditionContext         , InvalidRequest       , BAD_REQUEST ;
-InvalidDocumentEditionFunctionFilter  , InvalidRequest       , BAD_REQUEST ;
-EditDocumentsByFunctionError          , InvalidRequest       , BAD_REQUEST
+VectorEmbeddingError                           , InvalidRequest       , BAD_REQUEST ;
+NotFoundSimilarId                              , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentEditionContext                  , InvalidRequest       , BAD_REQUEST ;
+InvalidDocumentEditionFunctionFilter           , InvalidRequest       , BAD_REQUEST ;
+EditDocumentsByFunctionError                   , InvalidRequest       , BAD_REQUEST ;
+InvalidSettingsIndexChat                       , InvalidRequest       , BAD_REQUEST ;
+// Experimental features - Chat Completions
+UnimplementedExternalFunctionCalling           , InvalidRequest       , NOT_IMPLEMENTED ;
+UnimplementedNonStreamingChatCompletions       , InvalidRequest       , NOT_IMPLEMENTED ;
+UnimplementedMultiChoiceChatCompletions        , InvalidRequest       , NOT_IMPLEMENTED ;
+ChatNotFound                                   , InvalidRequest       , NOT_FOUND   ;
+InvalidChatSettingDocumentTemplate             , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionOrgId                     , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionProjectId                 , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionApiVersion                , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionDeploymentId              , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionSource                    , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionBaseApi                   , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionApiKey                    , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionPrompts                   , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionSystemPrompt              , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionSearchDescriptionPrompt   , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionSearchQueryParamPrompt    , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionSearchIndexUidParamPrompt , InvalidRequest       , BAD_REQUEST ;
+InvalidChatCompletionPreQueryPrompt            , InvalidRequest       , BAD_REQUEST
 }
 
 impl ErrorCode for JoinError {
@@ -430,6 +450,7 @@ impl ErrorCode for milli::Error {
                     | UserError::InvalidSettingsDimensions { .. }
                     | UserError::InvalidUrl { .. }
                     | UserError::InvalidSettingsDocumentTemplateMaxBytes { .. }
+                    | UserError::InvalidChatSettingsDocumentTemplateMaxBytes
                     | UserError::InvalidPrompt(_)
                     | UserError::InvalidDisableBinaryQuantization { .. }
                     | UserError::InvalidSourceForNested { .. }

crates/meilisearch-types/src/features.rs

@@ -2,6 +2,14 @@ use std::collections::BTreeMap;
 
 use serde::{Deserialize, Serialize};
 
+use crate::error::{Code, ResponseError};
+
+pub const DEFAULT_CHAT_SYSTEM_PROMPT: &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.";
+pub const DEFAULT_CHAT_SEARCH_DESCRIPTION_PROMPT: &str =
+    "Search the database for relevant JSON documents using an optional query.";
+pub const DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT: &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.";
+pub const DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT: &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.";
+
 #[derive(Serialize, Deserialize, Debug, Clone, Copy, Default, PartialEq, Eq)]
 #[serde(rename_all = "camelCase", default)]
 pub struct RuntimeTogglableFeatures {
@@ -12,6 +20,7 @@ pub struct RuntimeTogglableFeatures {
     pub network: bool,
     pub get_task_documents_route: bool,
     pub composite_embedders: bool,
+    pub chat_completions: bool,
 }
 
 #[derive(Default, Debug, Clone, Copy)]
@@ -37,3 +46,218 @@ pub struct Network {
     #[serde(default)]
     pub remotes: BTreeMap<String, Remote>,
 }
+
+#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq, Default)]
+#[serde(rename_all = "camelCase")]
+pub struct ChatCompletionSettings {
+    pub source: ChatCompletionSource,
+    #[serde(default)]
+    pub org_id: Option<String>,
+    #[serde(default)]
+    pub project_id: Option<String>,
+    #[serde(default)]
+    pub api_version: Option<String>,
+    #[serde(default)]
+    pub deployment_id: Option<String>,
+    #[serde(default)]
+    pub base_url: Option<String>,
+    #[serde(default)]
+    pub api_key: Option<String>,
+    #[serde(default)]
+    pub prompts: ChatCompletionPrompts,
+}
+
+impl ChatCompletionSettings {
+    pub fn hide_secrets(&mut self) {
+        if let Some(api_key) = &mut self.api_key {
+            Self::hide_secret(api_key);
+        }
+    }
+
+    fn hide_secret(secret: &mut String) {
+        match secret.len() {
+            x if x < 10 => {
+                secret.replace_range(.., "XXX...");
+            }
+            x if x < 20 => {
+                secret.replace_range(2.., "XXXX...");
+            }
+            x if x < 30 => {
+                secret.replace_range(3.., "XXXXX...");
+            }
+            _x => {
+                secret.replace_range(5.., "XXXXXX...");
+            }
+        }
+    }
+
+    pub fn validate(&self) -> Result<(), ResponseError> {
+        use ChatCompletionSource::*;
+        match self {
+            Self { source: AzureOpenAi, base_url, deployment_id, api_version, .. } if base_url.is_none() || deployment_id.is_none() || api_version.is_none() => Err(ResponseError::from_msg(
+                "azureOpenAi requires setting a valid `baseUrl`, `deploymentId`, and `apiVersion`".to_string(),
+                Code::BadRequest,
+            )),
+            Self { source: VLlm, base_url, .. } if base_url.is_none() => Err(ResponseError::from_msg(
+                "vLlm requires setting a valid `baseUrl`".to_string(),
+                Code::BadRequest,
+            )),
+            _otherwise => Ok(()),
+        }
+    }
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone, Copy, PartialEq, Eq, Default)]
+#[serde(rename_all = "camelCase")]
+pub enum ChatCompletionSource {
+    #[default]
+    OpenAi,
+    AzureOpenAi,
+    Mistral,
+    Gemini,
+    VLlm,
+}
+
+#[derive(Debug, Clone, PartialEq, Eq)]
+pub enum SystemRole {
+    System,
+    Developer,
+}
+
+impl ChatCompletionSource {
+    pub fn system_role(&self, model: &str) -> SystemRole {
+        use ChatCompletionSource::*;
+        use SystemRole::*;
+        match self {
+            OpenAi if Self::old_openai_model(model) => System,
+            OpenAi => Developer,
+            AzureOpenAi if Self::old_openai_model(model) => System,
+            AzureOpenAi => Developer,
+            Mistral => System,
+            Gemini => System,
+            VLlm => System,
+        }
+    }
+
+    /// Returns true if the model is an old OpenAI model.
+    ///
+    /// Old OpenAI models use the system role while new ones use the developer role.
+    fn old_openai_model(model: &str) -> bool {
+        ["gpt-3.5", "gpt-4", "gpt-4.1", "gpt-4.5", "gpt-4o", "chatgpt-4o"].iter().any(|old| {
+            model.starts_with(old)
+                && model.chars().nth(old.chars().count()).is_none_or(|last| last == '-')
+        })
+    }
+
+    pub fn base_url(&self) -> Option<&'static str> {
+        use ChatCompletionSource::*;
+        match self {
+            OpenAi => Some("https://api.openai.com/v1/"),
+            Mistral => Some("https://api.mistral.ai/v1/"),
+            Gemini => Some("https://generativelanguage.googleapis.com/v1beta/openai/"),
+            AzureOpenAi | VLlm => None,
+        }
+    }
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)]
+#[serde(rename_all = "camelCase")]
+pub struct ChatCompletionPrompts {
+    pub system: String,
+    pub search_description: String,
+    pub search_q_param: String,
+    pub search_index_uid_param: String,
+}
+
+impl Default for ChatCompletionPrompts {
+    fn default() -> Self {
+        Self {
+            system: DEFAULT_CHAT_SYSTEM_PROMPT.to_string(),
+            search_description: DEFAULT_CHAT_SEARCH_DESCRIPTION_PROMPT.to_string(),
+            search_q_param: DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT.to_string(),
+            search_index_uid_param: DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT.to_string(),
+        }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    const ALL_OPENAI_MODELS_OLDINESS: &[(&str, bool)] = &[
+        ("gpt-4-0613", true),
+        ("gpt-4", true),
+        ("gpt-3.5-turbo", true),
+        ("gpt-4o-audio-preview-2025-06-03", true),
+        ("gpt-4.1-nano", true),
+        ("gpt-4o-realtime-preview-2025-06-03", true),
+        ("gpt-3.5-turbo-instruct", true),
+        ("gpt-3.5-turbo-instruct-0914", true),
+        ("gpt-4-1106-preview", true),
+        ("gpt-3.5-turbo-1106", true),
+        ("gpt-4-0125-preview", true),
+        ("gpt-4-turbo-preview", true),
+        ("gpt-3.5-turbo-0125", true),
+        ("gpt-4-turbo", true),
+        ("gpt-4-turbo-2024-04-09", true),
+        ("gpt-4o", true),
+        ("gpt-4o-2024-05-13", true),
+        ("gpt-4o-mini-2024-07-18", true),
+        ("gpt-4o-mini", true),
+        ("gpt-4o-2024-08-06", true),
+        ("chatgpt-4o-latest", true),
+        ("gpt-4o-realtime-preview-2024-10-01", true),
+        ("gpt-4o-audio-preview-2024-10-01", true),
+        ("gpt-4o-audio-preview", true),
+        ("gpt-4o-realtime-preview", true),
+        ("gpt-4o-realtime-preview-2024-12-17", true),
+        ("gpt-4o-audio-preview-2024-12-17", true),
+        ("gpt-4o-mini-realtime-preview-2024-12-17", true),
+        ("gpt-4o-mini-audio-preview-2024-12-17", true),
+        ("gpt-4o-mini-realtime-preview", true),
+        ("gpt-4o-mini-audio-preview", true),
+        ("gpt-4o-2024-11-20", true),
+        ("gpt-4.5-preview", true),
+        ("gpt-4.5-preview-2025-02-27", true),
+        ("gpt-4o-search-preview-2025-03-11", true),
+        ("gpt-4o-search-preview", true),
+        ("gpt-4o-mini-search-preview-2025-03-11", true),
+        ("gpt-4o-mini-search-preview", true),
+        ("gpt-4o-transcribe", true),
+        ("gpt-4o-mini-transcribe", true),
+        ("gpt-4o-mini-tts", true),
+        ("gpt-4.1-2025-04-14", true),
+        ("gpt-4.1", true),
+        ("gpt-4.1-mini-2025-04-14", true),
+        ("gpt-4.1-mini", true),
+        ("gpt-4.1-nano-2025-04-14", true),
+        ("gpt-3.5-turbo-16k", true),
+        //
+        // new models
+        ("o1-preview-2024-09-12", false),
+        ("o1-preview", false),
+        ("o1-mini-2024-09-12", false),
+        ("o1-mini", false),
+        ("o1-2024-12-17", false),
+        ("o1", false),
+        ("o3-mini", false),
+        ("o3-mini-2025-01-31", false),
+        ("o1-pro-2025-03-19", false),
+        ("o1-pro", false),
+        ("o3-2025-04-16", false),
+        ("o4-mini-2025-04-16", false),
+        ("o3", false),
+        ("o4-mini", false),
+    ];
+
+    #[test]
+    fn old_openai_models() {
+        for (name, is_old) in ALL_OPENAI_MODELS_OLDINESS.iter().copied() {
+            assert_eq!(
+                ChatCompletionSource::old_openai_model(name),
+                is_old,
+                "Model {name} is not considered old"
+            );
+        }
+    }
+}

crates/meilisearch-types/src/keys.rs

@@ -53,7 +53,7 @@ pub struct CreateApiKey {
     #[schema(example = json!(["documents.add"]))]
     #[deserr(error = DeserrJsonError<InvalidApiKeyActions>, missing_field_error = DeserrJsonError::missing_api_key_actions)]
     pub actions: Vec<Action>,
-    /// A list of accesible indexes permitted for the key. `["*"]` for all indexes. The `*` character can be used as a wildcard when located at the last position. e.g. `products_*` to allow access to all indexes whose names start with `products_`.
+    /// A list of accessible indexes permitted for the key. `["*"]` for all indexes. The `*` character can be used as a wildcard when located at the last position. e.g. `products_*` to allow access to all indexes whose names start with `products_`.
     #[deserr(error = DeserrJsonError<InvalidApiKeyIndexes>, missing_field_error = DeserrJsonError::missing_api_key_indexes)]
     #[schema(value_type = Vec<String>, example = json!(["products"]))]
     pub indexes: Vec<IndexUidPattern>,
@@ -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::ChatCompletions, Action::Search],
+            indexes: vec![IndexUidPattern::all()],
+            expires_at: None,
+            created_at: now,
+            updated_at: now,
+        }
+    }
 }
 
 fn parse_expiration_date(
@@ -308,6 +323,27 @@ pub enum Action {
     #[serde(rename = "network.update")]
     #[deserr(rename = "network.update")]
     NetworkUpdate,
+    #[serde(rename = "chatCompletions")]
+    #[deserr(rename = "chatCompletions")]
+    ChatCompletions,
+    #[serde(rename = "chats.*")]
+    #[deserr(rename = "chats.*")]
+    ChatsAll,
+    #[serde(rename = "chats.get")]
+    #[deserr(rename = "chats.get")]
+    ChatsGet,
+    #[serde(rename = "chats.delete")]
+    #[deserr(rename = "chats.delete")]
+    ChatsDelete,
+    #[serde(rename = "chatsSettings.*")]
+    #[deserr(rename = "chatsSettings.*")]
+    ChatsSettingsAll,
+    #[serde(rename = "chatsSettings.get")]
+    #[deserr(rename = "chatsSettings.get")]
+    ChatsSettingsGet,
+    #[serde(rename = "chatsSettings.update")]
+    #[deserr(rename = "chatsSettings.update")]
+    ChatsSettingsUpdate,
 }
 
 impl Action {
@@ -333,6 +369,13 @@ impl Action {
             SETTINGS_ALL => Some(Self::SettingsAll),
             SETTINGS_GET => Some(Self::SettingsGet),
             SETTINGS_UPDATE => Some(Self::SettingsUpdate),
+            CHAT_COMPLETIONS => Some(Self::ChatCompletions),
+            CHATS_ALL => Some(Self::ChatsAll),
+            CHATS_GET => Some(Self::ChatsGet),
+            CHATS_DELETE => Some(Self::ChatsDelete),
+            CHATS_SETTINGS_ALL => Some(Self::ChatsSettingsAll),
+            CHATS_SETTINGS_GET => Some(Self::ChatsSettingsGet),
+            CHATS_SETTINGS_UPDATE => Some(Self::ChatsSettingsUpdate),
             STATS_ALL => Some(Self::StatsAll),
             STATS_GET => Some(Self::StatsGet),
             METRICS_ALL => Some(Self::MetricsAll),
@@ -397,4 +440,12 @@ pub mod actions {
 
     pub const NETWORK_GET: u8 = NetworkGet.repr();
     pub const NETWORK_UPDATE: u8 = NetworkUpdate.repr();
+
+    pub const CHAT_COMPLETIONS: u8 = ChatCompletions.repr();
+    pub const CHATS_ALL: u8 = ChatsAll.repr();
+    pub const CHATS_GET: u8 = ChatsGet.repr();
+    pub const CHATS_DELETE: u8 = ChatsDelete.repr();
+    pub const CHATS_SETTINGS_ALL: u8 = ChatsSettingsAll.repr();
+    pub const CHATS_SETTINGS_GET: u8 = ChatsSettingsGet.repr();
+    pub const CHATS_SETTINGS_UPDATE: u8 = ChatsSettingsUpdate.repr();
 }

crates/meilisearch-types/src/settings.rs

@@ -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};
@@ -185,7 +186,7 @@ impl<E: DeserializeError> Deserr<E> for SettingEmbeddingSettings {
 /// Holds all the settings for an index. `T` can either be `Checked` if they represents settings
 /// whose validity is guaranteed, or `Unchecked` if they need to be validated. In the later case, a
 /// call to `check` will return a `Settings<Checked>` from a `Settings<Unchecked>`.
-#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Eq, Deserr, ToSchema)]
+#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Deserr, ToSchema)]
 #[serde(
     deny_unknown_fields,
     rename_all = "camelCase",
@@ -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>,
         };
 

crates/meilisearch-types/src/task_view.rs

@@ -8,7 +8,7 @@ use crate::error::ResponseError;
 use crate::settings::{Settings, Unchecked};
 use crate::tasks::{serialize_duration, Details, IndexSwap, Kind, Status, Task, TaskId};
 
-#[derive(Debug, Clone, PartialEq, Eq, Serialize, ToSchema)]
+#[derive(Debug, Clone, PartialEq, Serialize, ToSchema)]
 #[serde(rename_all = "camelCase")]
 #[schema(rename_all = "camelCase")]
 pub struct TaskView {
@@ -67,7 +67,7 @@ impl TaskView {
     }
 }
 
-#[derive(Default, Debug, PartialEq, Eq, Clone, Serialize, Deserialize, ToSchema)]
+#[derive(Default, Debug, PartialEq, Clone, Serialize, Deserialize, ToSchema)]
 #[serde(rename_all = "camelCase")]
 #[schema(rename_all = "camelCase")]
 pub struct DetailsView {

crates/meilisearch-types/src/tasks.rs

@@ -597,7 +597,7 @@ impl fmt::Display for ParseTaskKindError {
 }
 impl std::error::Error for ParseTaskKindError {}
 
-#[derive(Debug, PartialEq, Eq, Clone, Serialize, Deserialize)]
+#[derive(Debug, PartialEq, Clone, Serialize, Deserialize)]
 pub enum Details {
     DocumentAdditionOrUpdate {
         received_documents: u64,

crates/meilisearch/Cargo.toml

@@ -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"] }
@@ -111,6 +112,9 @@ 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 = "better-error-handling" }
+secrecy = "0.10.3"
+actix-web-lab = { version = "0.24.1", default-features = false }
 
 [dev-dependencies]
 actix-rt = "2.10.0"

crates/meilisearch/src/analytics/segment_analytics.rs

@@ -197,6 +197,7 @@ struct Infos {
     experimental_max_number_of_batched_tasks: usize,
     experimental_limit_batched_tasks_total_size: u64,
     experimental_network: bool,
+    experimental_chat_completions: bool,
     experimental_get_task_documents_route: bool,
     experimental_composite_embedders: bool,
     experimental_embedding_cache_entries: usize,
@@ -296,6 +297,7 @@ impl Infos {
             network,
             get_task_documents_route,
             composite_embedders,
+            chat_completions,
         } = features;
 
         // We're going to override every sensible information.
@@ -314,6 +316,7 @@ impl Infos {
             experimental_enable_logs_route: experimental_enable_logs_route | logs_route,
             experimental_reduce_indexing_memory_usage,
             experimental_network: network,
+            experimental_chat_completions: chat_completions,
             experimental_get_task_documents_route: get_task_documents_route,
             experimental_composite_embedders: composite_embedders,
             experimental_embedding_cache_entries,

crates/meilisearch/src/extractors/authentication/mod.rs

@@ -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_COMPLETIONS {
                 return Ok(TenantTokenOutcome::NotATenantToken);
             }
 

crates/meilisearch/src/routes/chats/chat_completions.rs

@@ -0,0 +1,744 @@
+use std::collections::HashMap;
+use std::fmt::Write as _;
+use std::mem;
+use std::ops::ControlFlow;
+use std::time::Duration;
+
+use actix_web::web::{self, Data};
+use actix_web::{Either, HttpRequest, HttpResponse, Responder};
+use actix_web_lab::sse::{Event, Sse};
+use async_openai::types::{
+    ChatCompletionMessageToolCall, ChatCompletionMessageToolCallChunk,
+    ChatCompletionRequestAssistantMessageArgs, ChatCompletionRequestDeveloperMessage,
+    ChatCompletionRequestDeveloperMessageContent, ChatCompletionRequestMessage,
+    ChatCompletionRequestSystemMessage, ChatCompletionRequestSystemMessageContent,
+    ChatCompletionRequestToolMessage, ChatCompletionRequestToolMessageContent,
+    ChatCompletionStreamResponseDelta, ChatCompletionToolArgs, ChatCompletionToolType,
+    CreateChatCompletionRequest, CreateChatCompletionStreamResponse, 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::{Code, ResponseError};
+use meilisearch_types::features::{
+    ChatCompletionPrompts as DbChatCompletionPrompts,
+    ChatCompletionSource as DbChatCompletionSource, SystemRole,
+};
+use meilisearch_types::keys::actions;
+use meilisearch_types::milli::index::ChatConfig;
+use meilisearch_types::milli::{all_obkv_to_json, obkv_to_json, TimeBudget};
+use meilisearch_types::{Document, Index};
+use serde::Deserialize;
+use serde_json::json;
+use tokio::runtime::Handle;
+use tokio::sync::mpsc::error::SendError;
+
+use super::config::Config;
+use super::errors::{MistralError, OpenAiOutsideError, StreamErrorEvent};
+use super::utils::format_documents;
+use super::{
+    ChatsParam, MEILI_APPEND_CONVERSATION_MESSAGE_NAME, MEILI_SEARCH_IN_INDEX_FUNCTION_NAME,
+    MEILI_SEARCH_PROGRESS_NAME, MEILI_SEARCH_SOURCES_NAME,
+};
+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::chats::utils::SseEventSender;
+use crate::routes::indexes::search::search_kind;
+use crate::search::{add_search_rules, prepare_search, search_from_kind, SearchQuery};
+use crate::search_queue::SearchQueue;
+
+pub fn configure(cfg: &mut web::ServiceConfig) {
+    cfg.service(web::resource("").route(web::post().to(chat)));
+}
+
+/// Get a chat completion
+async fn chat(
+    index_scheduler: GuardedData<ActionPolicy<{ actions::CHAT_COMPLETIONS }>, Data<IndexScheduler>>,
+    auth_ctrl: web::Data<AuthController>,
+    chats_param: web::Path<ChatsParam>,
+    req: HttpRequest,
+    search_queue: web::Data<SearchQueue>,
+    web::Json(chat_completion): web::Json<CreateChatCompletionRequest>,
+) -> impl Responder {
+    let ChatsParam { workspace_uid } = chats_param.into_inner();
+
+    if chat_completion.stream.unwrap_or(false) {
+        Either::Right(
+            streamed_chat(
+                index_scheduler,
+                auth_ctrl,
+                search_queue,
+                &workspace_uid,
+                req,
+                chat_completion,
+            )
+            .await,
+        )
+    } else {
+        Either::Left(
+            non_streamed_chat(
+                index_scheduler,
+                auth_ctrl,
+                search_queue,
+                &workspace_uid,
+                req,
+                chat_completion,
+            )
+            .await,
+        )
+    }
+}
+
+#[derive(Default, Debug, Clone, Copy)]
+pub struct FunctionSupport {
+    /// Defines if we can call the _meiliSearchProgress function
+    /// to inform the front-end about what we are searching for.
+    report_progress: bool,
+    /// Defines if we can call the _meiliSearchSources function
+    /// to inform the front-end about the sources of the search.
+    report_sources: bool,
+    /// Defines if we can call the _meiliAppendConversationMessage
+    /// function to provide the messages to append into the conversation.
+    append_to_conversation: bool,
+}
+
+/// Setup search tool in chat completion request
+fn setup_search_tool(
+    index_scheduler: &Data<IndexScheduler>,
+    filters: &meilisearch_auth::AuthFilter,
+    chat_completion: &mut CreateChatCompletionRequest,
+    prompts: &DbChatCompletionPrompts,
+    system_role: SystemRole,
+) -> Result<FunctionSupport, ResponseError> {
+    let tools = chat_completion.tools.get_or_insert_default();
+    for tool in &tools[..] {
+        match tool.function.name.as_str() {
+            MEILI_SEARCH_IN_INDEX_FUNCTION_NAME => {
+                return Err(ResponseError::from_msg(
+                    format!("{MEILI_SEARCH_IN_INDEX_FUNCTION_NAME} function is already defined."),
+                    Code::BadRequest,
+                ));
+            }
+            MEILI_SEARCH_PROGRESS_NAME
+            | MEILI_SEARCH_SOURCES_NAME
+            | MEILI_APPEND_CONVERSATION_MESSAGE_NAME => (),
+            external_function_name => {
+                return Err(ResponseError::from_msg(
+                    format!("{external_function_name}: External functions are not supported yet."),
+                    Code::UnimplementedExternalFunctionCalling,
+                ));
+            }
+        }
+    }
+
+    // Remove internal tools used for front-end notifications as they should be hidden from the LLM.
+    let mut report_progress = false;
+    let mut report_sources = false;
+    let mut append_to_conversation = false;
+    tools.retain(|tool| {
+        match tool.function.name.as_str() {
+            MEILI_SEARCH_PROGRESS_NAME => {
+                report_progress = true;
+                false
+            }
+            MEILI_SEARCH_SOURCES_NAME => {
+                report_sources = true;
+                false
+            }
+            MEILI_APPEND_CONVERSATION_MESSAGE_NAME => {
+                append_to_conversation = true;
+                false
+            }
+            _ => true, // keep other tools
+        }
+    });
+
+    let mut index_uids = Vec::new();
+    let mut function_description = prompts.search_description.clone();
+    index_scheduler.try_for_each_index::<_, ()>(|name, index| {
+        // Make sure to skip unauthorized indexes
+        if !filters.is_index_authorized(name) {
+            return Ok(());
+        }
+
+        let rtxn = index.read_txn()?;
+        let chat_config = index.chat_config(&rtxn)?;
+        let index_description = chat_config.description;
+        let _ = writeln!(&mut function_description, "\n\n - {name}: {index_description}\n");
+        index_uids.push(name.to_string());
+
+        Ok(())
+    })?;
+
+    let tool = ChatCompletionToolArgs::default()
+        .r#type(ChatCompletionToolType::Function)
+        .function(
+            FunctionObjectArgs::default()
+                .name(MEILI_SEARCH_IN_INDEX_FUNCTION_NAME)
+                .description(&function_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);
+
+    let system_message = match system_role {
+        SystemRole::System => {
+            ChatCompletionRequestMessage::System(ChatCompletionRequestSystemMessage {
+                content: ChatCompletionRequestSystemMessageContent::Text(prompts.system.clone()),
+                name: None,
+            })
+        }
+        SystemRole::Developer => {
+            ChatCompletionRequestMessage::Developer(ChatCompletionRequestDeveloperMessage {
+                content: ChatCompletionRequestDeveloperMessageContent::Text(prompts.system.clone()),
+                name: None,
+            })
+        }
+    };
+    chat_completion.messages.insert(0, system_message);
+
+    Ok(FunctionSupport { report_progress, report_sources, append_to_conversation })
+}
+
+/// Process search request and return formatted results
+async fn process_search_request(
+    index_scheduler: &GuardedData<
+        ActionPolicy<{ actions::CHAT_COMPLETIONS }>,
+        Data<IndexScheduler>,
+    >,
+    auth_ctrl: web::Data<AuthController>,
+    search_queue: &web::Data<SearchQueue>,
+    auth_token: &str,
+    index_uid: String,
+    q: Option<String>,
+) -> Result<(Index, Vec<Document>, String), ResponseError> {
+    let index = index_scheduler.index(&index_uid)?;
+    let rtxn = index.static_read_txn()?;
+    let ChatConfig { description: _, prompt: _, search_parameters } = index.chat_config(&rtxn)?;
+    let mut query = SearchQuery { q, ..SearchQuery::from(search_parameters) };
+    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);
+    }
+    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 output = tokio::task::spawn_blocking(move || -> Result<_, ResponseError> {
+        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, _)| (rtxn, search_results))
+            .map_err(ResponseError::from)
+    })
+    .await;
+    permit.drop().await;
+
+    let output = output?;
+    let mut documents = Vec::new();
+    if let Ok((ref rtxn, ref search_result)) = output {
+        // aggregate.succeed(search_result);
+        if search_result.degraded {
+            MEILISEARCH_DEGRADED_SEARCH_REQUESTS.inc();
+        }
+
+        let fields_ids_map = index.fields_ids_map(rtxn)?;
+        let displayed_fields = index.displayed_fields_ids(rtxn)?;
+        for &document_id in &search_result.documents_ids {
+            let obkv = index.document(rtxn, document_id)?;
+            let document = match displayed_fields {
+                Some(ref fields) => obkv_to_json(fields, &fields_ids_map, obkv)?,
+                None => all_obkv_to_json(obkv, &fields_ids_map)?,
+            };
+            documents.push(document);
+        }
+    }
+
+    let (rtxn, search_result) = output?;
+    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, documents, text))
+}
+
+#[allow(unreachable_code, unused_variables)] // will be correctly implemented in the future
+async fn non_streamed_chat(
+    index_scheduler: GuardedData<ActionPolicy<{ actions::CHAT_COMPLETIONS }>, Data<IndexScheduler>>,
+    auth_ctrl: web::Data<AuthController>,
+    search_queue: web::Data<SearchQueue>,
+    workspace_uid: &str,
+    req: HttpRequest,
+    chat_completion: CreateChatCompletionRequest,
+) -> Result<HttpResponse, ResponseError> {
+    index_scheduler.features().check_chat_completions("using the /chats chat completions route")?;
+
+    if let Some(n) = chat_completion.n.filter(|&n| n != 1) {
+        return Err(ResponseError::from_msg(
+            format!("You tried to specify n = {n} but only single choices are supported (n = 1)."),
+            Code::UnimplementedMultiChoiceChatCompletions,
+        ));
+    }
+
+    return Err(ResponseError::from_msg(
+        "Non-streamed chat completions is not implemented".to_string(),
+        Code::UnimplementedNonStreamingChatCompletions,
+    ));
+
+    let filters = index_scheduler.filters();
+    let chat_settings = match index_scheduler.chat_settings(workspace_uid).unwrap() {
+        Some(settings) => settings,
+        None => {
+            return Err(ResponseError::from_msg(
+                format!("Chat `{workspace_uid}` not found"),
+                Code::ChatNotFound,
+            ))
+        }
+    };
+
+    let config = Config::new(&chat_settings);
+    let client = Client::with_config(config);
+    let auth_token = extract_token_from_request(&req)?.unwrap();
+    let system_role = chat_settings.source.system_role(&chat_completion.model);
+    // TODO do function support later
+    let _function_support = setup_search_tool(
+        &index_scheduler,
+        filters,
+        &mut chat_completion,
+        &chat_settings.prompts,
+        system_role,
+    )?;
+
+    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 == MEILI_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()),
+                    };
+
+                    // TODO report documents sources later
+                    let answer = match result {
+                        Ok((_, _documents, text)) => text,
+                        Err(err) => err,
+                    };
+
+                    chat_completion.messages.push(ChatCompletionRequestMessage::Tool(
+                        ChatCompletionRequestToolMessage {
+                            tool_call_id: call.id.clone(),
+                            content: ChatCompletionRequestToolMessageContent::Text(answer),
+                        },
+                    ));
+                }
+
+                // 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_COMPLETIONS }>, Data<IndexScheduler>>,
+    auth_ctrl: web::Data<AuthController>,
+    search_queue: web::Data<SearchQueue>,
+    workspace_uid: &str,
+    req: HttpRequest,
+    mut chat_completion: CreateChatCompletionRequest,
+) -> Result<impl Responder, ResponseError> {
+    index_scheduler.features().check_chat_completions("using the /chats chat completions route")?;
+    let filters = index_scheduler.filters();
+
+    if let Some(n) = chat_completion.n.filter(|&n| n != 1) {
+        return Err(ResponseError::from_msg(
+            format!("You tried to specify n = {n} but only single choices are supported (n = 1)."),
+            Code::UnimplementedMultiChoiceChatCompletions,
+        ));
+    }
+
+    let chat_settings = match index_scheduler.chat_settings(workspace_uid)? {
+        Some(settings) => settings,
+        None => {
+            return Err(ResponseError::from_msg(
+                format!("Chat `{workspace_uid}` not found"),
+                Code::ChatNotFound,
+            ))
+        }
+    };
+
+    let config = Config::new(&chat_settings);
+    let auth_token = extract_token_from_request(&req)?.unwrap().to_string();
+    let system_role = chat_settings.source.system_role(&chat_completion.model);
+    let function_support = setup_search_tool(
+        &index_scheduler,
+        filters,
+        &mut chat_completion,
+        &chat_settings.prompts,
+        system_role,
+    )?;
+
+    tracing::debug!("Conversation function support: {function_support:?}");
+
+    let (tx, rx) = tokio::sync::mpsc::channel(10);
+    let tx = SseEventSender::new(tx);
+    let _join_handle = Handle::current().spawn(async move {
+        let client = Client::with_config(config.clone());
+        let mut global_tool_calls = HashMap::<u32, Call>::new();
+
+        // Limit the number of internal calls to satisfy the search requests of the LLM
+        for _ in 0..20 {
+            let output = run_conversation(
+                &index_scheduler,
+                &auth_ctrl,
+                &search_queue,
+                &auth_token,
+                &client,
+                chat_settings.source,
+                &mut chat_completion,
+                &tx,
+                &mut global_tool_calls,
+                function_support,
+            );
+
+            match output.await {
+                Ok(ControlFlow::Continue(())) => (),
+                Ok(ControlFlow::Break(_finish_reason)) => break,
+                // If the connection is closed we must stop
+                Err(SendError(_)) => return,
+            }
+        }
+
+        let _ = tx.stop().await;
+    });
+
+    Ok(Sse::from_infallible_receiver(rx).with_retry_duration(Duration::from_secs(10)))
+}
+
+/// Updates the chat completion with the new messages, streams the LLM tokens,
+/// and report progress and errors.
+#[allow(clippy::too_many_arguments)]
+async fn run_conversation<C: async_openai::config::Config>(
+    index_scheduler: &GuardedData<
+        ActionPolicy<{ actions::CHAT_COMPLETIONS }>,
+        Data<IndexScheduler>,
+    >,
+    auth_ctrl: &web::Data<AuthController>,
+    search_queue: &web::Data<SearchQueue>,
+    auth_token: &str,
+    client: &Client<C>,
+    source: DbChatCompletionSource,
+    chat_completion: &mut CreateChatCompletionRequest,
+    tx: &SseEventSender,
+    global_tool_calls: &mut HashMap<u32, Call>,
+    function_support: FunctionSupport,
+) -> Result<ControlFlow<Option<FinishReason>, ()>, SendError<Event>> {
+    let mut finish_reason = None;
+    // safety: unwrap: can only happens if `stream` was set to `false`
+    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;
+
+                let ChatCompletionStreamResponseDelta { ref tool_calls, .. } = &choice.delta;
+
+                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| {
+                                    if call.is_internal() {
+                                        call.append(arguments.as_ref().unwrap())
+                                    }
+                                })
+                                .or_insert_with(|| {
+                                    if name.as_deref() == Some(MEILI_SEARCH_IN_INDEX_FUNCTION_NAME)
+                                    {
+                                        Call::Internal {
+                                            id: id.as_ref().unwrap().clone(),
+                                            function_name: name.as_ref().unwrap().clone(),
+                                            arguments: arguments.as_ref().unwrap().clone(),
+                                        }
+                                    } else {
+                                        Call::External
+                                    }
+                                });
+                        }
+                    }
+                    None => {
+                        if !global_tool_calls.is_empty() {
+                            let (meili_calls, _other_calls): (Vec<_>, Vec<_>) =
+                                mem::take(global_tool_calls)
+                                    .into_values()
+                                    .flat_map(|call| match call {
+                                        Call::Internal { id, function_name: name, arguments } => {
+                                            Some(ChatCompletionMessageToolCall {
+                                                id,
+                                                r#type: Some(ChatCompletionToolType::Function),
+                                                function: FunctionCall { name, arguments },
+                                            })
+                                        }
+                                        Call::External => None,
+                                    })
+                                    .partition(|call| {
+                                        call.function.name == MEILI_SEARCH_IN_INDEX_FUNCTION_NAME
+                                    });
+
+                            chat_completion.messages.push(
+                                ChatCompletionRequestAssistantMessageArgs::default()
+                                    .tool_calls(meili_calls.clone())
+                                    .build()
+                                    .unwrap()
+                                    .into(),
+                            );
+
+                            handle_meili_tools(
+                                index_scheduler,
+                                auth_ctrl,
+                                search_queue,
+                                auth_token,
+                                tx,
+                                meili_calls,
+                                chat_completion,
+                                &resp,
+                                function_support,
+                            )
+                            .await?;
+                        } else {
+                            tx.forward_response(&resp).await?;
+                        }
+                    }
+                }
+            }
+            Err(error) => {
+                let result = match source {
+                    DbChatCompletionSource::Mistral => {
+                        StreamErrorEvent::from_openai_error::<MistralError>(error).await
+                    }
+                    _ => StreamErrorEvent::from_openai_error::<OpenAiOutsideError>(error).await,
+                };
+                let error = result.unwrap_or_else(StreamErrorEvent::from_reqwest_error);
+                tx.send_error(&error).await?;
+                return Ok(ControlFlow::Break(None));
+            }
+        }
+    }
+
+    // We must stop if the finish reason is not something we can solve with Meilisearch
+    match finish_reason {
+        Some(FinishReason::ToolCalls) => Ok(ControlFlow::Continue(())),
+        otherwise => Ok(ControlFlow::Break(otherwise)),
+    }
+}
+
+#[allow(clippy::too_many_arguments)]
+async fn handle_meili_tools(
+    index_scheduler: &GuardedData<
+        ActionPolicy<{ actions::CHAT_COMPLETIONS }>,
+        Data<IndexScheduler>,
+    >,
+    auth_ctrl: &web::Data<AuthController>,
+    search_queue: &web::Data<SearchQueue>,
+    auth_token: &str,
+    tx: &SseEventSender,
+    meili_calls: Vec<ChatCompletionMessageToolCall>,
+    chat_completion: &mut CreateChatCompletionRequest,
+    resp: &CreateChatCompletionStreamResponse,
+    FunctionSupport { report_progress, report_sources, append_to_conversation, .. }: FunctionSupport,
+) -> Result<(), SendError<Event>> {
+    for call in meili_calls {
+        if report_progress {
+            tx.report_search_progress(
+                resp.clone(),
+                &call.id,
+                &call.function.name,
+                &call.function.arguments,
+            )
+            .await?;
+        }
+
+        if append_to_conversation {
+            tx.append_tool_call_conversation_message(
+                resp.clone(),
+                call.id.clone(),
+                call.function.name.clone(),
+                call.function.arguments.clone(),
+            )
+            .await?;
+        }
+
+        let mut error = None;
+
+        let result = match serde_json::from_str(&call.function.arguments) {
+            Ok(SearchInIndexParameters { index_uid, q }) => match process_search_request(
+                index_scheduler,
+                auth_ctrl.clone(),
+                search_queue,
+                auth_token,
+                index_uid,
+                q,
+            )
+            .await
+            {
+                Ok(output) => Ok(output),
+                Err(err) => {
+                    let error_text = format!("the search tool call failed with {err}");
+                    error = Some(err);
+                    Err(error_text)
+                }
+            },
+            Err(err) => Err(err.to_string()),
+        };
+
+        let answer = match result {
+            Ok((_index, documents, text)) => {
+                if report_sources {
+                    tx.report_sources(resp.clone(), &call.id, &documents).await?;
+                }
+                text
+            }
+            Err(err) => err,
+        };
+
+        let tool = ChatCompletionRequestMessage::Tool(ChatCompletionRequestToolMessage {
+            tool_call_id: call.id.clone(),
+            content: ChatCompletionRequestToolMessageContent::Text(answer),
+        });
+
+        if append_to_conversation {
+            tx.append_conversation_message(resp.clone(), &tool).await?;
+        }
+
+        chat_completion.messages.push(tool);
+
+        if let Some(error) = error {
+            tx.send_error(&StreamErrorEvent::from_response_error(error)).await?;
+        }
+    }
+
+    Ok(())
+}
+
+/// The structure used to aggregate the function calls to make.
+#[derive(Debug)]
+enum Call {
+    /// Tool calls to tools that must be managed by Meilisearch internally.
+    /// Typically the search functions.
+    Internal { id: String, function_name: String, arguments: String },
+    /// Tool calls that we track but only to know that its not our functions.
+    /// We return the function calls as-is to the end-user.
+    External,
+}
+
+impl Call {
+    fn is_internal(&self) -> bool {
+        matches!(self, Call::Internal { .. })
+    }
+
+    /// # Panics
+    ///
+    /// - if called on external calls
+    fn append(&mut self, more: &str) {
+        match self {
+            Call::Internal { arguments, .. } => arguments.push_str(more),
+            Call::External => panic!("Cannot append argument chunks to an external function"),
+        }
+    }
+}
+
+#[derive(Deserialize)]
+struct SearchInIndexParameters {
+    /// The index uid to search in.
+    index_uid: String,
+    /// The query parameter to use.
+    q: Option<String>,
+}

crates/meilisearch/src/routes/chats/config.rs

@@ -0,0 +1,88 @@
+use async_openai::config::{AzureConfig, OpenAIConfig};
+use meilisearch_types::features::ChatCompletionSettings as DbChatSettings;
+use reqwest::header::HeaderMap;
+use secrecy::SecretString;
+
+#[derive(Debug, Clone)]
+pub enum Config {
+    OpenAiCompatible(OpenAIConfig),
+    AzureOpenAiCompatible(AzureConfig),
+}
+
+impl Config {
+    pub fn new(chat_settings: &DbChatSettings) -> Self {
+        use meilisearch_types::features::ChatCompletionSource::*;
+        match chat_settings.source {
+            OpenAi | Mistral | Gemini | VLlm => {
+                let mut config = OpenAIConfig::default();
+                if let Some(org_id) = chat_settings.org_id.as_ref() {
+                    config = config.with_org_id(org_id);
+                }
+                if let Some(project_id) = chat_settings.project_id.as_ref() {
+                    config = config.with_project_id(project_id);
+                }
+                if let Some(api_key) = chat_settings.api_key.as_ref() {
+                    config = config.with_api_key(api_key);
+                }
+                let base_url = chat_settings.base_url.as_deref();
+                if let Some(base_url) = chat_settings.source.base_url().or(base_url) {
+                    config = config.with_api_base(base_url);
+                }
+                Self::OpenAiCompatible(config)
+            }
+            AzureOpenAi => {
+                let mut config = AzureConfig::default();
+                if let Some(version) = chat_settings.api_version.as_ref() {
+                    config = config.with_api_version(version);
+                }
+                if let Some(deployment_id) = chat_settings.deployment_id.as_ref() {
+                    config = config.with_deployment_id(deployment_id);
+                }
+                if let Some(api_key) = chat_settings.api_key.as_ref() {
+                    config = config.with_api_key(api_key);
+                }
+                if let Some(base_url) = chat_settings.base_url.as_ref() {
+                    config = config.with_api_base(base_url);
+                }
+                Self::AzureOpenAiCompatible(config)
+            }
+        }
+    }
+}
+
+impl async_openai::config::Config for Config {
+    fn headers(&self) -> HeaderMap {
+        match self {
+            Config::OpenAiCompatible(config) => config.headers(),
+            Config::AzureOpenAiCompatible(config) => config.headers(),
+        }
+    }
+
+    fn url(&self, path: &str) -> String {
+        match self {
+            Config::OpenAiCompatible(config) => config.url(path),
+            Config::AzureOpenAiCompatible(config) => config.url(path),
+        }
+    }
+
+    fn query(&self) -> Vec<(&str, &str)> {
+        match self {
+            Config::OpenAiCompatible(config) => config.query(),
+            Config::AzureOpenAiCompatible(config) => config.query(),
+        }
+    }
+
+    fn api_base(&self) -> &str {
+        match self {
+            Config::OpenAiCompatible(config) => config.api_base(),
+            Config::AzureOpenAiCompatible(config) => config.api_base(),
+        }
+    }
+
+    fn api_key(&self) -> &SecretString {
+        match self {
+            Config::OpenAiCompatible(config) => config.api_key(),
+            Config::AzureOpenAiCompatible(config) => config.api_key(),
+        }
+    }
+}

crates/meilisearch/src/routes/chats/errors.rs

@@ -0,0 +1,250 @@
+use async_openai::error::{ApiError, OpenAIError};
+use async_openai::reqwest_eventsource::Error as EventSourceError;
+use meilisearch_types::error::ResponseError;
+use serde::{Deserialize, Serialize};
+use uuid::Uuid;
+
+/// The error type which is always `error`.
+const ERROR_TYPE: &str = "error";
+
+/// The error struct returned by the Mistral API.
+///
+/// ```json
+/// {
+///   "object": "error",
+///   "message": "Service tier capacity exceeded for this model.",
+///   "type": "invalid_request_error",
+///   "param": null,
+///   "code": null
+/// }
+/// ```
+#[derive(Debug, Clone, Deserialize)]
+pub struct MistralError {
+    message: String,
+    r#type: String,
+    param: Option<String>,
+    code: Option<String>,
+}
+
+impl From<MistralError> for StreamErrorEvent {
+    fn from(error: MistralError) -> Self {
+        let MistralError { message, r#type, param, code } = error;
+        StreamErrorEvent {
+            event_id: Uuid::new_v4().to_string(),
+            r#type: ERROR_TYPE.to_owned(),
+            error: StreamError { r#type, code, message, param, event_id: None },
+        }
+    }
+}
+
+#[derive(Debug, Clone, Deserialize)]
+pub struct OpenAiOutsideError {
+    /// Emitted when an error occurs.
+    error: OpenAiInnerError,
+}
+
+/// Emitted when an error occurs.
+#[derive(Debug, Clone, Deserialize)]
+pub struct OpenAiInnerError {
+    /// The error code.
+    code: Option<String>,
+    /// The error message.
+    message: String,
+    /// The error parameter.
+    param: Option<String>,
+    /// The type of the event. Always `error`.
+    r#type: String,
+}
+
+impl From<OpenAiOutsideError> for StreamErrorEvent {
+    fn from(error: OpenAiOutsideError) -> Self {
+        let OpenAiOutsideError { error: OpenAiInnerError { code, message, param, r#type } } = error;
+        StreamErrorEvent {
+            event_id: Uuid::new_v4().to_string(),
+            r#type: ERROR_TYPE.to_string(),
+            error: StreamError { r#type, code, message, param, event_id: None },
+        }
+    }
+}
+
+/// An error that occurs during the streaming process.
+///
+/// It directly comes from the OpenAI API and you can
+/// read more about error events on their website:
+/// <https://platform.openai.com/docs/api-reference/realtime-server-events/error>
+#[derive(Debug, Serialize, Deserialize)]
+pub struct StreamErrorEvent {
+    /// The unique ID of the server event.
+    pub event_id: String,
+    /// The event type, must be error.
+    pub r#type: String,
+    /// Details of the error.
+    pub error: StreamError,
+}
+
+/// Details of the error.
+#[derive(Debug, Serialize, Deserialize)]
+pub struct StreamError {
+    /// The type of error (e.g., "invalid_request_error", "server_error").
+    pub r#type: String,
+    /// Error code, if any.
+    pub code: Option<String>,
+    /// A human-readable error message.
+    pub message: String,
+    /// Parameter related to the error, if any.
+    pub param: Option<String>,
+    /// The event_id of the client event that caused the error, if applicable.
+    pub event_id: Option<String>,
+}
+
+impl StreamErrorEvent {
+    pub async fn from_openai_error<E>(error: OpenAIError) -> Result<Self, reqwest::Error>
+    where
+        E: serde::de::DeserializeOwned,
+        Self: From<E>,
+    {
+        match error {
+            OpenAIError::Reqwest(e) => Ok(StreamErrorEvent {
+                event_id: Uuid::new_v4().to_string(),
+                r#type: ERROR_TYPE.to_string(),
+                error: StreamError {
+                    r#type: "internal_reqwest_error".to_string(),
+                    code: Some("internal".to_string()),
+                    message: e.to_string(),
+                    param: None,
+                    event_id: None,
+                },
+            }),
+            OpenAIError::ApiError(ApiError { message, r#type, param, code }) => {
+                Ok(StreamErrorEvent {
+                    r#type: ERROR_TYPE.to_string(),
+                    event_id: Uuid::new_v4().to_string(),
+                    error: StreamError {
+                        r#type: r#type.unwrap_or_else(|| "unknown".to_string()),
+                        code,
+                        message,
+                        param,
+                        event_id: None,
+                    },
+                })
+            }
+            OpenAIError::JSONDeserialize(error) => Ok(StreamErrorEvent {
+                event_id: Uuid::new_v4().to_string(),
+                r#type: ERROR_TYPE.to_string(),
+                error: StreamError {
+                    r#type: "json_deserialize_error".to_string(),
+                    code: Some("internal".to_string()),
+                    message: error.to_string(),
+                    param: None,
+                    event_id: None,
+                },
+            }),
+            OpenAIError::FileSaveError(_) | OpenAIError::FileReadError(_) => unreachable!(),
+            OpenAIError::StreamError(error) => match error {
+                EventSourceError::InvalidStatusCode(_status_code, response) => {
+                    let error = response.json::<E>().await?;
+                    Ok(StreamErrorEvent::from(error))
+                }
+                EventSourceError::InvalidContentType(_header_value, response) => {
+                    let error = response.json::<E>().await?;
+                    Ok(StreamErrorEvent::from(error))
+                }
+                EventSourceError::Utf8(error) => Ok(StreamErrorEvent {
+                    event_id: Uuid::new_v4().to_string(),
+                    r#type: ERROR_TYPE.to_string(),
+                    error: StreamError {
+                        r#type: "invalid_utf8_error".to_string(),
+                        code: None,
+                        message: error.to_string(),
+                        param: None,
+                        event_id: None,
+                    },
+                }),
+                EventSourceError::Parser(error) => Ok(StreamErrorEvent {
+                    event_id: Uuid::new_v4().to_string(),
+                    r#type: ERROR_TYPE.to_string(),
+                    error: StreamError {
+                        r#type: "parser_error".to_string(),
+                        code: None,
+                        message: error.to_string(),
+                        param: None,
+                        event_id: None,
+                    },
+                }),
+                EventSourceError::Transport(error) => Ok(StreamErrorEvent {
+                    event_id: Uuid::new_v4().to_string(),
+                    r#type: ERROR_TYPE.to_string(),
+                    error: StreamError {
+                        r#type: "transport_error".to_string(),
+                        code: None,
+                        message: error.to_string(),
+                        param: None,
+                        event_id: None,
+                    },
+                }),
+                EventSourceError::InvalidLastEventId(message) => Ok(StreamErrorEvent {
+                    event_id: Uuid::new_v4().to_string(),
+                    r#type: ERROR_TYPE.to_string(),
+                    error: StreamError {
+                        r#type: "invalid_last_event_id".to_string(),
+                        code: None,
+                        message,
+                        param: None,
+                        event_id: None,
+                    },
+                }),
+                EventSourceError::StreamEnded => Ok(StreamErrorEvent {
+                    event_id: Uuid::new_v4().to_string(),
+                    r#type: ERROR_TYPE.to_string(),
+                    error: StreamError {
+                        r#type: "stream_ended".to_string(),
+                        code: None,
+                        message: "Stream ended".to_string(),
+                        param: None,
+                        event_id: None,
+                    },
+                }),
+            },
+            OpenAIError::InvalidArgument(message) => Ok(StreamErrorEvent {
+                event_id: Uuid::new_v4().to_string(),
+                r#type: ERROR_TYPE.to_string(),
+                error: StreamError {
+                    r#type: "invalid_argument".to_string(),
+                    code: None,
+                    message,
+                    param: None,
+                    event_id: None,
+                },
+            }),
+        }
+    }
+
+    pub fn from_response_error(error: ResponseError) -> Self {
+        let ResponseError { code, message, .. } = error;
+        StreamErrorEvent {
+            event_id: Uuid::new_v4().to_string(),
+            r#type: ERROR_TYPE.to_string(),
+            error: StreamError {
+                r#type: "response_error".to_string(),
+                code: Some(code.as_str().to_string()),
+                message,
+                param: None,
+                event_id: None,
+            },
+        }
+    }
+
+    pub fn from_reqwest_error(error: reqwest::Error) -> Self {
+        StreamErrorEvent {
+            event_id: Uuid::new_v4().to_string(),
+            r#type: ERROR_TYPE.to_string(),
+            error: StreamError {
+                r#type: "reqwest_error".to_string(),
+                code: None,
+                message: error.to_string(),
+                param: None,
+                event_id: None,
+            },
+        }
+    }
+}

crates/meilisearch/src/routes/chats/mod.rs

@@ -0,0 +1,134 @@
+use actix_web::web::{self, Data};
+use actix_web::HttpResponse;
+use deserr::actix_web::AwebQueryParameter;
+use deserr::Deserr;
+use index_scheduler::IndexScheduler;
+use meilisearch_types::deserr::query_params::Param;
+use meilisearch_types::deserr::DeserrQueryParamError;
+use meilisearch_types::error::deserr_codes::{InvalidIndexLimit, InvalidIndexOffset};
+use meilisearch_types::error::{Code, ResponseError};
+use meilisearch_types::index_uid::IndexUid;
+use meilisearch_types::keys::actions;
+use serde::{Deserialize, Serialize};
+use serde_json::json;
+use tracing::debug;
+use utoipa::{IntoParams, ToSchema};
+
+use super::Pagination;
+use crate::extractors::authentication::policies::ActionPolicy;
+use crate::extractors::authentication::GuardedData;
+use crate::routes::PAGINATION_DEFAULT_LIMIT;
+
+pub mod chat_completions;
+mod config;
+mod errors;
+pub mod settings;
+mod utils;
+
+/// The function name to report search progress.
+/// This function is used to report on what meilisearch is
+/// doing which must be used on the frontend to report progress.
+const MEILI_SEARCH_PROGRESS_NAME: &str = "_meiliSearchProgress";
+/// The function name to append a conversation message in the user conversation.
+/// This function is used to append a conversation message in the user conversation.
+/// This must be used on the frontend to keep context of what happened on the
+/// Meilisearch-side and keep good context for follow up questions.
+const MEILI_APPEND_CONVERSATION_MESSAGE_NAME: &str = "_meiliAppendConversationMessage";
+/// The function name to report sources to the frontend.
+/// This function is used to report sources to the frontend.
+/// The call id is associated to the one used by the search progress function.
+const MEILI_SEARCH_SOURCES_NAME: &str = "_meiliSearchSources";
+/// The *internal* function name to provide to the LLM to search in indexes.
+/// This function must not leak to the user as the LLM will call it and the
+/// main goal of Meilisearch is to provide an answer to these calls.
+const MEILI_SEARCH_IN_INDEX_FUNCTION_NAME: &str = "_meiliSearchInIndex";
+
+#[derive(Deserialize)]
+pub struct ChatsParam {
+    workspace_uid: String,
+}
+
+pub fn configure(cfg: &mut web::ServiceConfig) {
+    cfg.service(web::resource("").route(web::get().to(list_workspaces))).service(
+        web::scope("/{workspace_uid}")
+            .service(
+                web::resource("")
+                    .route(web::get().to(get_chat))
+                    .route(web::delete().to(delete_chat)),
+            )
+            .service(web::scope("/chat/completions").configure(chat_completions::configure))
+            .service(web::scope("/settings").configure(settings::configure)),
+    );
+}
+
+pub async fn get_chat(
+    index_scheduler: GuardedData<ActionPolicy<{ actions::CHATS_GET }>, Data<IndexScheduler>>,
+    workspace_uid: web::Path<String>,
+) -> Result<HttpResponse, ResponseError> {
+    index_scheduler.features().check_chat_completions("displaying a chat")?;
+
+    let workspace_uid = IndexUid::try_from(workspace_uid.into_inner())?;
+    if index_scheduler.chat_workspace_exists(&workspace_uid)? {
+        Ok(HttpResponse::Ok().json(json!({ "uid": workspace_uid })))
+    } else {
+        Err(ResponseError::from_msg(format!("chat {workspace_uid} not found"), Code::ChatNotFound))
+    }
+}
+
+pub async fn delete_chat(
+    index_scheduler: GuardedData<ActionPolicy<{ actions::CHATS_DELETE }>, Data<IndexScheduler>>,
+    workspace_uid: web::Path<String>,
+) -> Result<HttpResponse, ResponseError> {
+    index_scheduler.features().check_chat_completions("deleting a chat")?;
+
+    let workspace_uid = workspace_uid.into_inner();
+    if index_scheduler.delete_chat_settings(&workspace_uid)? {
+        Ok(HttpResponse::NoContent().finish())
+    } else {
+        Err(ResponseError::from_msg(format!("chat {workspace_uid} not found"), Code::ChatNotFound))
+    }
+}
+
+#[derive(Deserr, Debug, Clone, Copy, IntoParams)]
+#[deserr(error = DeserrQueryParamError, rename_all = camelCase, deny_unknown_fields)]
+#[into_params(rename_all = "camelCase", parameter_in = Query)]
+pub struct ListChats {
+    /// The number of chat workspaces to skip before starting to retrieve anything
+    #[param(value_type = Option<usize>, default, example = 100)]
+    #[deserr(default, error = DeserrQueryParamError<InvalidIndexOffset>)]
+    pub offset: Param<usize>,
+    /// The number of chat workspaces to retrieve
+    #[param(value_type = Option<usize>, default = 20, example = 1)]
+    #[deserr(default = Param(PAGINATION_DEFAULT_LIMIT), error = DeserrQueryParamError<InvalidIndexLimit>)]
+    pub limit: Param<usize>,
+}
+
+impl ListChats {
+    fn as_pagination(self) -> Pagination {
+        Pagination { offset: self.offset.0, limit: self.limit.0 }
+    }
+}
+
+#[derive(Debug, Serialize, Clone, ToSchema)]
+#[serde(rename_all = "camelCase")]
+pub struct ChatWorkspaceView {
+    /// Unique identifier for the index
+    pub uid: String,
+}
+
+pub async fn list_workspaces(
+    index_scheduler: GuardedData<ActionPolicy<{ actions::CHATS_GET }>, Data<IndexScheduler>>,
+    paginate: AwebQueryParameter<ListChats, DeserrQueryParamError>,
+) -> Result<HttpResponse, ResponseError> {
+    index_scheduler.features().check_chat_completions("listing the chats")?;
+
+    debug!(parameters = ?paginate, "List chat workspaces");
+    let (total, workspaces) =
+        index_scheduler.paginated_chat_workspace_uids(*paginate.offset, *paginate.limit)?;
+    let workspaces =
+        workspaces.into_iter().map(|uid| ChatWorkspaceView { uid }).collect::<Vec<_>>();
+    let ret = paginate.as_pagination().format_with(total, workspaces);
+
+    debug!(returns = ?ret, "List chat workspaces");
+    Ok(HttpResponse::Ok().json(ret))
+}

crates/meilisearch/src/routes/chats/settings.rs

@@ -0,0 +1,260 @@
+use actix_web::web::{self, Data};
+use actix_web::HttpResponse;
+use deserr::Deserr;
+use index_scheduler::IndexScheduler;
+use meilisearch_types::deserr::DeserrJsonError;
+use meilisearch_types::error::deserr_codes::*;
+use meilisearch_types::error::{Code, ResponseError};
+use meilisearch_types::features::{
+    ChatCompletionPrompts as DbChatCompletionPrompts, ChatCompletionSettings,
+    ChatCompletionSource as DbChatCompletionSource, DEFAULT_CHAT_SEARCH_DESCRIPTION_PROMPT,
+    DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT, DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT,
+    DEFAULT_CHAT_SYSTEM_PROMPT,
+};
+use meilisearch_types::keys::actions;
+use meilisearch_types::milli::update::Setting;
+use serde::{Deserialize, Serialize};
+use utoipa::ToSchema;
+
+use super::ChatsParam;
+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(SeqHandler(get_settings)))
+            .route(web::patch().to(SeqHandler(patch_settings)))
+            .route(web::delete().to(SeqHandler(reset_settings))),
+    );
+}
+
+async fn get_settings(
+    index_scheduler: GuardedData<
+        ActionPolicy<{ actions::CHATS_SETTINGS_GET }>,
+        Data<IndexScheduler>,
+    >,
+    chats_param: web::Path<ChatsParam>,
+) -> Result<HttpResponse, ResponseError> {
+    index_scheduler.features().check_chat_completions("using the /chats/settings route")?;
+
+    let ChatsParam { workspace_uid } = chats_param.into_inner();
+
+    let mut settings = match index_scheduler.chat_settings(&workspace_uid)? {
+        Some(settings) => settings,
+        None => {
+            return Err(ResponseError::from_msg(
+                format!("Chat `{workspace_uid}` not found"),
+                Code::ChatNotFound,
+            ))
+        }
+    };
+    settings.hide_secrets();
+    Ok(HttpResponse::Ok().json(settings))
+}
+
+async fn patch_settings(
+    index_scheduler: GuardedData<
+        ActionPolicy<{ actions::CHATS_SETTINGS_UPDATE }>,
+        Data<IndexScheduler>,
+    >,
+    chats_param: web::Path<ChatsParam>,
+    web::Json(new): web::Json<ChatWorkspaceSettings>,
+) -> Result<HttpResponse, ResponseError> {
+    index_scheduler.features().check_chat_completions("using the /chats/settings route")?;
+    let ChatsParam { workspace_uid } = chats_param.into_inner();
+
+    let old_settings = index_scheduler.chat_settings(&workspace_uid)?.unwrap_or_default();
+
+    let prompts = match new.prompts {
+        Setting::Set(new_prompts) => DbChatCompletionPrompts {
+            system: match new_prompts.system {
+                Setting::Set(new_system) => new_system,
+                Setting::Reset => DEFAULT_CHAT_SYSTEM_PROMPT.to_string(),
+                Setting::NotSet => old_settings.prompts.system,
+            },
+            search_description: match new_prompts.search_description {
+                Setting::Set(new_description) => new_description,
+                Setting::Reset => DEFAULT_CHAT_SEARCH_DESCRIPTION_PROMPT.to_string(),
+                Setting::NotSet => old_settings.prompts.search_description,
+            },
+            search_q_param: match new_prompts.search_q_param {
+                Setting::Set(new_description) => new_description,
+                Setting::Reset => DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT.to_string(),
+                Setting::NotSet => old_settings.prompts.search_q_param,
+            },
+            search_index_uid_param: match new_prompts.search_index_uid_param {
+                Setting::Set(new_description) => new_description,
+                Setting::Reset => DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT.to_string(),
+                Setting::NotSet => old_settings.prompts.search_index_uid_param,
+            },
+        },
+        Setting::Reset => DbChatCompletionPrompts::default(),
+        Setting::NotSet => old_settings.prompts,
+    };
+
+    let mut settings = ChatCompletionSettings {
+        source: match new.source {
+            Setting::Set(new_source) => new_source.into(),
+            Setting::Reset => DbChatCompletionSource::default(),
+            Setting::NotSet => old_settings.source,
+        },
+        org_id: match new.org_id {
+            Setting::Set(new_org_id) => Some(new_org_id),
+            Setting::Reset => None,
+            Setting::NotSet => old_settings.org_id,
+        },
+        project_id: match new.project_id {
+            Setting::Set(new_project_id) => Some(new_project_id),
+            Setting::Reset => None,
+            Setting::NotSet => old_settings.project_id,
+        },
+        api_version: match new.api_version {
+            Setting::Set(new_api_version) => Some(new_api_version),
+            Setting::Reset => None,
+            Setting::NotSet => old_settings.api_version,
+        },
+        deployment_id: match new.deployment_id {
+            Setting::Set(new_deployment_id) => Some(new_deployment_id),
+            Setting::Reset => None,
+            Setting::NotSet => old_settings.deployment_id,
+        },
+        base_url: match new.base_url {
+            Setting::Set(new_base_url) => Some(new_base_url),
+            Setting::Reset => None,
+            Setting::NotSet => old_settings.base_url,
+        },
+        api_key: match new.api_key {
+            Setting::Set(new_api_key) => Some(new_api_key),
+            Setting::Reset => None,
+            Setting::NotSet => old_settings.api_key,
+        },
+        prompts,
+    };
+
+    // TODO send analytics
+    // analytics.publish(
+    //     PatchNetworkAnalytics {
+    //         network_size: merged_remotes.len(),
+    //         network_has_self: merged_self.is_some(),
+    //     },
+    //     &req,
+    // );
+
+    settings.validate()?;
+    index_scheduler.put_chat_settings(&workspace_uid, &settings)?;
+
+    settings.hide_secrets();
+
+    Ok(HttpResponse::Ok().json(settings))
+}
+
+async fn reset_settings(
+    index_scheduler: GuardedData<
+        ActionPolicy<{ actions::CHATS_SETTINGS_UPDATE }>,
+        Data<IndexScheduler>,
+    >,
+    chats_param: web::Path<ChatsParam>,
+) -> Result<HttpResponse, ResponseError> {
+    index_scheduler.features().check_chat_completions("using the /chats/settings route")?;
+
+    let ChatsParam { workspace_uid } = chats_param.into_inner();
+    if index_scheduler.chat_settings(&workspace_uid)?.is_some() {
+        let settings = Default::default();
+        index_scheduler.put_chat_settings(&workspace_uid, &settings)?;
+        Ok(HttpResponse::Ok().json(settings))
+    } else {
+        Err(ResponseError::from_msg(
+            format!("Chat `{workspace_uid}` not found"),
+            Code::ChatNotFound,
+        ))
+    }
+}
+
+#[derive(Debug, Clone, Deserialize, Deserr, ToSchema)]
+#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
+#[serde(deny_unknown_fields, rename_all = "camelCase")]
+#[schema(rename_all = "camelCase")]
+pub struct ChatWorkspaceSettings {
+    #[serde(default)]
+    #[deserr(default)]
+    #[schema(value_type = Option<ChatCompletionSource>)]
+    pub source: Setting<ChatCompletionSource>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionOrgId>)]
+    #[schema(value_type = Option<String>, example = json!("dcba4321..."))]
+    pub org_id: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionProjectId>)]
+    #[schema(value_type = Option<String>, example = json!("4321dcba..."))]
+    pub project_id: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionApiVersion>)]
+    #[schema(value_type = Option<String>, example = json!("2024-02-01"))]
+    pub api_version: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionDeploymentId>)]
+    #[schema(value_type = Option<String>, example = json!("1234abcd..."))]
+    pub deployment_id: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionBaseApi>)]
+    #[schema(value_type = Option<String>, example = json!("https://api.mistral.ai/v1"))]
+    pub base_url: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionApiKey>)]
+    #[schema(value_type = Option<String>, example = json!("abcd1234..."))]
+    pub api_key: Setting<String>,
+    #[serde(default)]
+    #[deserr(default)]
+    #[schema(inline, value_type = Option<ChatPrompts>)]
+    pub prompts: Setting<ChatPrompts>,
+}
+
+#[derive(Default, Debug, Clone, Copy, Serialize, Deserialize, Deserr, ToSchema)]
+#[serde(deny_unknown_fields, rename_all = "camelCase")]
+#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
+pub enum ChatCompletionSource {
+    #[default]
+    OpenAi,
+    Mistral,
+    Gemini,
+    AzureOpenAi,
+    VLlm,
+}
+
+impl From<ChatCompletionSource> for DbChatCompletionSource {
+    fn from(source: ChatCompletionSource) -> Self {
+        use ChatCompletionSource::*;
+        match source {
+            OpenAi => DbChatCompletionSource::OpenAi,
+            Mistral => DbChatCompletionSource::Mistral,
+            Gemini => DbChatCompletionSource::Gemini,
+            AzureOpenAi => DbChatCompletionSource::AzureOpenAi,
+            VLlm => DbChatCompletionSource::VLlm,
+        }
+    }
+}
+
+#[derive(Debug, Clone, Deserialize, Deserr, ToSchema)]
+#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
+#[serde(deny_unknown_fields, rename_all = "camelCase")]
+#[schema(rename_all = "camelCase")]
+pub struct ChatPrompts {
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionSystemPrompt>)]
+    #[schema(value_type = Option<String>, example = json!("You are a helpful assistant..."))]
+    pub system: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionSearchDescriptionPrompt>)]
+    #[schema(value_type = Option<String>, example = json!("This is the search function..."))]
+    pub search_description: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionSearchQueryParamPrompt>)]
+    #[schema(value_type = Option<String>, example = json!("This is query parameter..."))]
+    pub search_q_param: Setting<String>,
+    #[serde(default)]
+    #[deserr(default, error = DeserrJsonError<InvalidChatCompletionSearchIndexUidParamPrompt>)]
+    #[schema(value_type = Option<String>, example = json!("This is index you want to search in..."))]
+    pub search_index_uid_param: Setting<String>,
+}

crates/meilisearch/src/routes/chats/utils.rs

@@ -0,0 +1,253 @@
+use std::cell::RefCell;
+use std::sync::RwLock;
+
+use actix_web_lab::sse::{self, Event};
+use async_openai::types::{
+    ChatChoiceStream, ChatCompletionMessageToolCall, ChatCompletionMessageToolCallChunk,
+    ChatCompletionRequestAssistantMessage, ChatCompletionRequestMessage,
+    ChatCompletionStreamResponseDelta, ChatCompletionToolType, CreateChatCompletionStreamResponse,
+    FunctionCall, FunctionCallStream, Role,
+};
+use bumpalo::Bump;
+use meilisearch_types::error::{Code, ResponseError};
+use meilisearch_types::heed::RoTxn;
+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,
+};
+use meilisearch_types::{Document, Index};
+use serde::Serialize;
+use tokio::sync::mpsc::error::SendError;
+use tokio::sync::mpsc::Sender;
+
+use super::errors::StreamErrorEvent;
+use super::MEILI_APPEND_CONVERSATION_MESSAGE_NAME;
+use crate::routes::chats::{MEILI_SEARCH_PROGRESS_NAME, MEILI_SEARCH_SOURCES_NAME};
+
+pub struct SseEventSender(Sender<Event>);
+
+impl SseEventSender {
+    pub fn new(sender: Sender<Event>) -> Self {
+        Self(sender)
+    }
+
+    /// Ask the front-end user to append this tool *call* to the conversation
+    pub async fn append_tool_call_conversation_message(
+        &self,
+        resp: CreateChatCompletionStreamResponse,
+        call_id: String,
+        function_name: String,
+        function_arguments: String,
+    ) -> Result<(), SendError<Event>> {
+        #[allow(deprecated)] // function_call
+        let message =
+            ChatCompletionRequestMessage::Assistant(ChatCompletionRequestAssistantMessage {
+                content: None,
+                refusal: None,
+                name: None,
+                audio: None,
+                tool_calls: Some(vec![ChatCompletionMessageToolCall {
+                    id: call_id,
+                    r#type: Some(ChatCompletionToolType::Function),
+                    function: FunctionCall { name: function_name, arguments: function_arguments },
+                }]),
+                function_call: None,
+            });
+
+        self.append_conversation_message(resp, &message).await
+    }
+
+    /// Ask the front-end user to append this tool to the conversation
+    pub async fn append_conversation_message(
+        &self,
+        mut resp: CreateChatCompletionStreamResponse,
+        message: &ChatCompletionRequestMessage,
+    ) -> Result<(), SendError<Event>> {
+        let call_text = serde_json::to_string(message).unwrap();
+        let tool_call = ChatCompletionMessageToolCallChunk {
+            index: 0,
+            id: Some(uuid::Uuid::new_v4().to_string()),
+            r#type: Some(ChatCompletionToolType::Function),
+            function: Some(FunctionCallStream {
+                name: Some(MEILI_APPEND_CONVERSATION_MESSAGE_NAME.to_string()),
+                arguments: Some(call_text),
+            }),
+        };
+
+        resp.choices[0] = ChatChoiceStream {
+            index: 0,
+            #[allow(deprecated)] // function_call
+            delta: ChatCompletionStreamResponseDelta {
+                content: None,
+                function_call: None,
+                tool_calls: Some(vec![tool_call]),
+                role: Some(Role::Assistant),
+                refusal: None,
+            },
+            finish_reason: None,
+            logprobs: None,
+        };
+
+        self.send_json(&resp).await
+    }
+
+    pub async fn report_search_progress(
+        &self,
+        mut resp: CreateChatCompletionStreamResponse,
+        call_id: &str,
+        function_name: &str,
+        function_arguments: &str,
+    ) -> Result<(), SendError<Event>> {
+        #[derive(Debug, Clone, Serialize)]
+        /// Provides information about the current Meilisearch search operation.
+        struct MeiliSearchProgress<'a> {
+            /// The call ID to track the sources of the search.
+            call_id: &'a str,
+            /// The name of the function we are executing.
+            function_name: &'a str,
+            /// The arguments of the function we are executing, encoded in JSON.
+            function_arguments: &'a str,
+        }
+
+        let progress = MeiliSearchProgress { call_id, function_name, function_arguments };
+        let call_text = serde_json::to_string(&progress).unwrap();
+        let tool_call = ChatCompletionMessageToolCallChunk {
+            index: 0,
+            id: Some(uuid::Uuid::new_v4().to_string()),
+            r#type: Some(ChatCompletionToolType::Function),
+            function: Some(FunctionCallStream {
+                name: Some(MEILI_SEARCH_PROGRESS_NAME.to_string()),
+                arguments: Some(call_text),
+            }),
+        };
+
+        resp.choices[0] = ChatChoiceStream {
+            index: 0,
+            #[allow(deprecated)] // function_call
+            delta: ChatCompletionStreamResponseDelta {
+                content: None,
+                function_call: None,
+                tool_calls: Some(vec![tool_call]),
+                role: Some(Role::Assistant),
+                refusal: None,
+            },
+            finish_reason: None,
+            logprobs: None,
+        };
+
+        self.send_json(&resp).await
+    }
+
+    pub async fn report_sources(
+        &self,
+        mut resp: CreateChatCompletionStreamResponse,
+        call_id: &str,
+        documents: &[Document],
+    ) -> Result<(), SendError<Event>> {
+        #[derive(Debug, Clone, Serialize)]
+        /// Provides sources of the search.
+        struct MeiliSearchSources<'a> {
+            /// The call ID to track the original search associated to those sources.
+            call_id: &'a str,
+            /// The documents associated with the search (call_id).
+            /// Only the displayed attributes of the documents are returned.
+            sources: &'a [Document],
+        }
+
+        let sources = MeiliSearchSources { call_id, sources: documents };
+        let call_text = serde_json::to_string(&sources).unwrap();
+        let tool_call = ChatCompletionMessageToolCallChunk {
+            index: 0,
+            id: Some(uuid::Uuid::new_v4().to_string()),
+            r#type: Some(ChatCompletionToolType::Function),
+            function: Some(FunctionCallStream {
+                name: Some(MEILI_SEARCH_SOURCES_NAME.to_string()),
+                arguments: Some(call_text),
+            }),
+        };
+
+        resp.choices[0] = ChatChoiceStream {
+            index: 0,
+            #[allow(deprecated)] // function_call
+            delta: ChatCompletionStreamResponseDelta {
+                content: None,
+                function_call: None,
+                tool_calls: Some(vec![tool_call]),
+                role: Some(Role::Assistant),
+                refusal: None,
+            },
+            finish_reason: None,
+            logprobs: None,
+        };
+
+        self.send_json(&resp).await
+    }
+
+    pub async fn forward_response(
+        &self,
+        resp: &CreateChatCompletionStreamResponse,
+    ) -> Result<(), SendError<Event>> {
+        self.send_json(resp).await
+    }
+
+    pub async fn send_error(&self, error: &StreamErrorEvent) -> Result<(), SendError<Event>> {
+        self.send_json(error).await
+    }
+
+    pub async fn stop(self) -> Result<(), SendError<Event>> {
+        // It is the way OpenAI sends a correct end of stream
+        // <https://platform.openai.com/docs/api-reference/assistants-streaming/events>
+        const DONE_DATA: &str = "[DONE]";
+        self.0.send(Event::Data(sse::Data::new(DONE_DATA))).await
+    }
+
+    async fn send_json<S: Serialize>(&self, data: &S) -> Result<(), SendError<Event>> {
+        self.0.send(Event::Data(sse::Data::new_json(data).unwrap())).await
+    }
+}
+
+/// Format documents based on the provided template and maximum bytes.
+///
+/// This formatting function is usually used to generate a summary of the documents for LLMs.
+pub fn format_documents<'doc>(
+    rtxn: &RoTxn<'_>,
+    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 => unreachable!("Document with internal ID {docid} not found"),
+        };
+        let text = match prompt.render_document(&external_docid, document, &gfid_map, doc_alloc) {
+            Ok(text) => text,
+            Err(err) => {
+                return Err(ResponseError::from_msg(
+                    err.to_string(),
+                    Code::InvalidChatSettingDocumentTemplate,
+                ))
+            }
+        };
+        renders.push(text);
+    }
+
+    Ok(renders)
+}

crates/meilisearch/src/routes/features.rs

@@ -53,6 +53,7 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
             network: Some(false),
             get_task_documents_route: Some(false),
             composite_embedders: Some(false),
+            chat_completions: Some(false),
         })),
         (status = 401, description = "The authorization header is missing", body = ResponseError, content_type = "application/json", example = json!(
             {
@@ -97,6 +98,8 @@ pub struct RuntimeTogglableFeatures {
     pub get_task_documents_route: Option<bool>,
     #[deserr(default)]
     pub composite_embedders: Option<bool>,
+    #[deserr(default)]
+    pub chat_completions: Option<bool>,
 }
 
 impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogglableFeatures {
@@ -109,6 +112,7 @@ impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogg
             network,
             get_task_documents_route,
             composite_embedders,
+            chat_completions,
         } = value;
 
         Self {
@@ -119,6 +123,7 @@ impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogg
             network: Some(network),
             get_task_documents_route: Some(get_task_documents_route),
             composite_embedders: Some(composite_embedders),
+            chat_completions: Some(chat_completions),
         }
     }
 }
@@ -132,6 +137,7 @@ pub struct PatchExperimentalFeatureAnalytics {
     network: bool,
     get_task_documents_route: bool,
     composite_embedders: bool,
+    chat_completions: bool,
 }
 
 impl Aggregate for PatchExperimentalFeatureAnalytics {
@@ -148,6 +154,7 @@ impl Aggregate for PatchExperimentalFeatureAnalytics {
             network: new.network,
             get_task_documents_route: new.get_task_documents_route,
             composite_embedders: new.composite_embedders,
+            chat_completions: new.chat_completions,
         })
     }
 
@@ -173,6 +180,7 @@ impl Aggregate for PatchExperimentalFeatureAnalytics {
             network: Some(false),
             get_task_documents_route: Some(false),
             composite_embedders: Some(false),
+            chat_completions: Some(false),
          })),
         (status = 401, description = "The authorization header is missing", body = ResponseError, content_type = "application/json", example = json!(
             {
@@ -214,6 +222,7 @@ async fn patch_features(
             .0
             .composite_embedders
             .unwrap_or(old_features.composite_embedders),
+        chat_completions: new_features.0.chat_completions.unwrap_or(old_features.chat_completions),
     };
 
     // explicitly destructure for analytics rather than using the `Serialize` implementation, because
@@ -227,6 +236,7 @@ async fn patch_features(
         network,
         get_task_documents_route,
         composite_embedders,
+        chat_completions,
     } = new_features;
 
     analytics.publish(
@@ -238,6 +248,7 @@ async fn patch_features(
             network,
             get_task_documents_route,
             composite_embedders,
+            chat_completions,
         },
         &req,
     );

crates/meilisearch/src/routes/indexes/mod.rs

@@ -172,7 +172,7 @@ pub async fn list_indexes(
     debug!(parameters = ?paginate, "List indexes");
     let filters = index_scheduler.filters();
     let (total, indexes) =
-        index_scheduler.get_paginated_indexes_stats(filters, *paginate.offset, *paginate.limit)?;
+        index_scheduler.paginated_indexes_stats(filters, *paginate.offset, *paginate.limit)?;
     let indexes = indexes
         .into_iter()
         .map(|(name, stats)| IndexView {

crates/meilisearch/src/routes/indexes/settings.rs

@@ -5,8 +5,9 @@ use index_scheduler::IndexScheduler;
 use meilisearch_types::deserr::DeserrJsonError;
 use meilisearch_types::error::ResponseError;
 use meilisearch_types::index_uid::IndexUid;
+use meilisearch_types::milli::update::Setting;
 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 +509,17 @@ 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 +609,7 @@ 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,
     );
@@ -651,7 +664,11 @@ pub async fn get_all(
 
     let index = index_scheduler.index(&index_uid)?;
     let rtxn = index.read_txn()?;
-    let new_settings = settings(&index, &rtxn, SecretPolicy::HideSecrets)?;
+    let mut new_settings = settings(&index, &rtxn, SecretPolicy::HideSecrets)?;
+    if index_scheduler.features().check_chat_completions("showing index `chat` settings").is_err() {
+        new_settings.chat = Setting::NotSet;
+    }
+
     debug!(returns = ?new_settings, "Get all settings");
     Ok(HttpResponse::Ok().json(new_settings))
 }
@@ -741,5 +758,9 @@ fn validate_settings(
         }
     }
 
+    if let Setting::Set(_chat) = &settings.chat {
+        features.check_chat_completions("setting `chat` in the index settings")?;
+    }
+
     Ok(settings.validate()?)
 }

crates/meilisearch/src/routes/indexes/settings_analytics.rs

@@ -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 },
         })
     }
 
@@ -676,3 +678,18 @@ 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() }
+    }
+}

crates/meilisearch/src/routes/mod.rs

@@ -52,6 +52,7 @@ const PAGINATION_DEFAULT_LIMIT_FN: fn() -> usize = || 20;
 
 mod api_key;
 pub mod batches;
+pub mod chats;
 mod dump;
 pub mod features;
 pub mod indexes;
@@ -113,7 +114,8 @@ 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("/chats").configure(chats::configure));
 
     #[cfg(feature = "swagger")]
     {

crates/meilisearch/src/search/mod.rs

@@ -16,6 +16,7 @@ use meilisearch_types::error::{Code, ResponseError};
 use meilisearch_types::heed::RoTxn;
 use meilisearch_types::index_uid::IndexUid;
 use meilisearch_types::locales::Locale;
+use meilisearch_types::milli::index::{self, SearchParameters};
 use meilisearch_types::milli::score_details::{ScoreDetails, ScoringStrategy};
 use meilisearch_types::milli::vector::parsed_vectors::ExplicitVectors;
 use meilisearch_types::milli::vector::Embedder;
@@ -119,9 +120,58 @@ pub struct SearchQuery {
     pub locales: Option<Vec<Locale>>,
 }
 
+impl From<SearchParameters> for SearchQuery {
+    fn from(parameters: SearchParameters) -> Self {
+        let SearchParameters {
+            hybrid,
+            limit,
+            sort,
+            distinct,
+            matching_strategy,
+            attributes_to_search_on,
+            ranking_score_threshold,
+        } = parameters;
+
+        SearchQuery {
+            hybrid: hybrid.map(|index::HybridQuery { semantic_ratio, embedder }| HybridQuery {
+                semantic_ratio: SemanticRatio::try_from(semantic_ratio)
+                    .ok()
+                    .unwrap_or_else(DEFAULT_SEMANTIC_RATIO),
+                embedder,
+            }),
+            limit: limit.unwrap_or_else(DEFAULT_SEARCH_LIMIT),
+            sort,
+            distinct,
+            matching_strategy: matching_strategy.map(MatchingStrategy::from).unwrap_or_default(),
+            attributes_to_search_on,
+            ranking_score_threshold: ranking_score_threshold.map(RankingScoreThreshold::from),
+            q: None,
+            vector: None,
+            offset: DEFAULT_SEARCH_OFFSET(),
+            page: None,
+            hits_per_page: None,
+            attributes_to_retrieve: None,
+            retrieve_vectors: false,
+            attributes_to_crop: None,
+            crop_length: DEFAULT_CROP_LENGTH(),
+            attributes_to_highlight: None,
+            show_matches_position: false,
+            show_ranking_score: false,
+            show_ranking_score_details: false,
+            filter: None,
+            facets: None,
+            highlight_pre_tag: DEFAULT_HIGHLIGHT_PRE_TAG(),
+            highlight_post_tag: DEFAULT_HIGHLIGHT_POST_TAG(),
+            crop_marker: DEFAULT_CROP_MARKER(),
+            locales: None,
+        }
+    }
+}
+
 #[derive(Debug, Clone, Copy, PartialEq, Deserr, ToSchema, Serialize)]
 #[deserr(try_from(f64) = TryFrom::try_from -> InvalidSearchRankingScoreThreshold)]
 pub struct RankingScoreThreshold(f64);
+
 impl std::convert::TryFrom<f64> for RankingScoreThreshold {
     type Error = InvalidSearchRankingScoreThreshold;
 
@@ -136,6 +186,14 @@ impl std::convert::TryFrom<f64> for RankingScoreThreshold {
     }
 }
 
+impl From<index::RankingScoreThreshold> for RankingScoreThreshold {
+    fn from(threshold: index::RankingScoreThreshold) -> Self {
+        let threshold = threshold.as_f64();
+        assert!((0.0..=1.0).contains(&threshold));
+        RankingScoreThreshold(threshold)
+    }
+}
+
 #[derive(Debug, Clone, Copy, PartialEq, Deserr)]
 #[deserr(try_from(f64) = TryFrom::try_from -> InvalidSimilarRankingScoreThreshold)]
 pub struct RankingScoreThresholdSimilar(f64);
@@ -279,8 +337,8 @@ impl fmt::Debug for SearchQuery {
 #[deserr(error = DeserrJsonError<InvalidSearchHybridQuery>, rename_all = camelCase, deny_unknown_fields)]
 #[serde(rename_all = "camelCase")]
 pub struct HybridQuery {
-    #[deserr(default, error = DeserrJsonError<InvalidSearchSemanticRatio>, default)]
-    #[schema(value_type = f32, default)]
+    #[deserr(default, error = DeserrJsonError<InvalidSearchSemanticRatio>)]
+    #[schema(default, value_type = f32)]
     #[serde(default)]
     pub semantic_ratio: SemanticRatio,
     #[deserr(error = DeserrJsonError<InvalidSearchEmbedder>)]
@@ -717,6 +775,16 @@ impl From<MatchingStrategy> for TermsMatchingStrategy {
     }
 }
 
+impl From<index::MatchingStrategy> for MatchingStrategy {
+    fn from(other: index::MatchingStrategy) -> Self {
+        match other {
+            index::MatchingStrategy::Last => Self::Last,
+            index::MatchingStrategy::All => Self::All,
+            index::MatchingStrategy::Frequency => Self::Frequency,
+        }
+    }
+}
+
 #[derive(Debug, Default, Clone, PartialEq, Eq, Deserr)]
 #[deserr(rename_all = camelCase)]
 pub enum FacetValuesSort {
@@ -882,7 +950,7 @@ 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,
@@ -1260,7 +1328,7 @@ struct HitMaker<'a> {
     vectors_fid: Option<FieldId>,
     retrieve_vectors: RetrieveVectors,
     to_retrieve_ids: BTreeSet<FieldId>,
-    embedding_configs: Vec<milli::index::IndexEmbeddingConfig>,
+    embedding_configs: Vec<index::IndexEmbeddingConfig>,
     formatter_builder: MatcherBuilder<'a>,
     formatted_options: BTreeMap<FieldId, FormatOptions>,
     show_ranking_score: bool,

crates/meilisearch/tests/auth/api_keys.rs

@@ -421,7 +421,7 @@ async fn error_add_api_key_invalid_parameters_actions() {
     meili_snap::snapshot!(code, @"400 Bad Request");
     meili_snap::snapshot!(meili_snap::json_string!(response, { ".createdAt" => "[ignored]", ".updatedAt" => "[ignored]" }), @r###"
     {
-      "message": "Unknown value `doc.add` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `network.get`, `network.update`",
+      "message": "Unknown value `doc.add` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
       "code": "invalid_api_key_actions",
       "type": "invalid_request",
       "link": "https://docs.meilisearch.com/errors#invalid_api_key_actions"
@@ -849,11 +849,27 @@ async fn list_api_keys() {
           "expiresAt": null,
           "createdAt": "[ignored]",
           "updatedAt": "[ignored]"
+        },
+        {
+          "name": "Default Chat API Key",
+          "description": "Use it to chat and search from the frontend",
+          "key": "[ignored]",
+          "uid": "[ignored]",
+          "actions": [
+            "chatCompletions",
+            "search"
+          ],
+          "indexes": [
+            "*"
+          ],
+          "expiresAt": null,
+          "createdAt": "[ignored]",
+          "updatedAt": "[ignored]"
         }
       ],
       "offset": 0,
       "limit": 20,
-      "total": 3
+      "total": 4
     }
     "###);
     meili_snap::snapshot!(code, @"200 OK");

crates/meilisearch/tests/auth/errors.rs

@@ -93,7 +93,7 @@ async fn create_api_key_bad_actions() {
     snapshot!(code, @"400 Bad Request");
     snapshot!(json_string!(response), @r###"
     {
-      "message": "Unknown value `doggo` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `network.get`, `network.update`",
+      "message": "Unknown value `doggo` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
       "code": "invalid_api_key_actions",
       "type": "invalid_request",
       "link": "https://docs.meilisearch.com/errors#invalid_api_key_actions"

crates/meilisearch/tests/dumps/mod.rs

@@ -2187,7 +2187,8 @@ async fn import_dump_v6_containing_experimental_features() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 
@@ -2312,7 +2313,8 @@ async fn import_dump_v6_containing_batches_and_enqueued_tasks() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 
@@ -2417,7 +2419,8 @@ async fn generate_and_import_dump_containing_vectors() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 

crates/meilisearch/tests/features/mod.rs

@@ -24,7 +24,8 @@ async fn experimental_features() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 
@@ -39,7 +40,8 @@ async fn experimental_features() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 
@@ -54,7 +56,8 @@ async fn experimental_features() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 
@@ -70,7 +73,8 @@ async fn experimental_features() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 
@@ -86,7 +90,8 @@ async fn experimental_features() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 }
@@ -109,7 +114,8 @@ async fn experimental_feature_metrics() {
       "containsFilter": false,
       "network": false,
       "getTaskDocumentsRoute": false,
-      "compositeEmbedders": false
+      "compositeEmbedders": false,
+      "chatCompletions": false
     }
     "###);
 
@@ -156,7 +162,7 @@ async fn errors() {
     meili_snap::snapshot!(code, @"400 Bad Request");
     meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
     {
-      "message": "Unknown field `NotAFeature`: expected one of `metrics`, `logsRoute`, `editDocumentsByFunction`, `containsFilter`, `network`, `getTaskDocumentsRoute`, `compositeEmbedders`",
+      "message": "Unknown field `NotAFeature`: expected one of `metrics`, `logsRoute`, `editDocumentsByFunction`, `containsFilter`, `network`, `getTaskDocumentsRoute`, `compositeEmbedders`, `chatCompletions`",
       "code": "bad_request",
       "type": "invalid_request",
       "link": "https://docs.meilisearch.com/errors#bad_request"

crates/meilisearch/tests/index/get_index.rs

@@ -1,8 +1,8 @@
-use crate::json;
 use meili_snap::{json_string, snapshot};
 use serde_json::Value;
 
 use crate::common::{shared_does_not_exists_index, Server};
+use crate::json;
 
 #[actix_rt::test]
 async fn create_and_get_index() {

crates/meilisearch/tests/search/errors.rs

@@ -1,10 +1,9 @@
 use meili_snap::*;
 
+use super::test_settings_documents_indexing_swapping_and_search;
 use crate::common::{shared_does_not_exists_index, Server, DOCUMENTS, NESTED_DOCUMENTS};
 use crate::json;
 
-use super::test_settings_documents_indexing_swapping_and_search;
-
 #[actix_rt::test]
 async fn search_unexisting_index() {
     let index = shared_does_not_exists_index().await;

crates/meilisearch/tests/search/filters.rs

@@ -3,10 +3,10 @@ use meilisearch::Opt;
 use tempfile::TempDir;
 
 use super::test_settings_documents_indexing_swapping_and_search;
-use crate::{
-    common::{default_settings, shared_index_with_documents, Server, DOCUMENTS, NESTED_DOCUMENTS},
-    json,
+use crate::common::{
+    default_settings, shared_index_with_documents, Server, DOCUMENTS, NESTED_DOCUMENTS,
 };
+use crate::json;
 
 #[actix_rt::test]
 async fn search_with_filter_string_notation() {

crates/meilisearch/tests/search/geo.rs

@@ -2,11 +2,10 @@ use meili_snap::{json_string, snapshot};
 use meilisearch_types::milli::constants::RESERVED_GEO_FIELD_NAME;
 use once_cell::sync::Lazy;
 
+use super::test_settings_documents_indexing_swapping_and_search;
 use crate::common::{Server, Value};
 use crate::json;
 
-use super::test_settings_documents_indexing_swapping_and_search;
-
 static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
     json!([
         {

crates/meilisearch/tests/search/mod.rs

@@ -2086,3 +2086,76 @@ async fn test_exact_typos_terms() {
     )
     .await;
 }
+
+#[actix_rt::test]
+async fn simple_search_changing_unrelated_settings() {
+    let server = Server::new_shared();
+    let index = server.unique_index();
+
+    let documents = DOCUMENTS.clone();
+    let (task, _status_code) = index.add_documents(documents, None).await;
+    index.wait_task(task.uid()).await.succeeded();
+
+    index
+        .search(json!({"q": "Dragon"}), |response, code| {
+            snapshot!(code, @"200 OK");
+            snapshot!(json_string!(response["hits"]), @r###"
+            [
+              {
+                "title": "How to Train Your Dragon: The Hidden World",
+                "id": "166428",
+                "color": [
+                  "green",
+                  "red"
+                ]
+              }
+            ]
+            "###);
+        })
+        .await;
+
+    let (task, _status_code) =
+        index.update_settings(json!({ "filterableAttributes": ["title"] })).await;
+    let r = index.wait_task(task.uid()).await.succeeded();
+    snapshot!(r["status"], @r###""succeeded""###);
+
+    index
+        .search(json!({"q": "Dragon"}), |response, code| {
+            snapshot!(code, @"200 OK");
+            snapshot!(json_string!(response["hits"]), @r###"
+                [
+                  {
+                    "title": "How to Train Your Dragon: The Hidden World",
+                    "id": "166428",
+                    "color": [
+                      "green",
+                      "red"
+                    ]
+                  }
+                ]
+                "###);
+        })
+        .await;
+
+    let (task, _status_code) = index.update_settings(json!({ "filterableAttributes": [] })).await;
+    let r = index.wait_task(task.uid()).await.succeeded();
+    snapshot!(r["status"], @r###""succeeded""###);
+
+    index
+        .search(json!({"q": "Dragon"}), |response, code| {
+            snapshot!(code, @"200 OK");
+            snapshot!(json_string!(response["hits"]), @r###"
+                    [
+                      {
+                        "title": "How to Train Your Dragon: The Hidden World",
+                        "id": "166428",
+                        "color": [
+                          "green",
+                          "red"
+                        ]
+                      }
+                    ]
+                    "###);
+        })
+        .await;
+}

crates/meilisearch/tests/settings/get_settings.rs

@@ -181,6 +181,16 @@ test_setting_routes!(
         update_verb: patch,
         default_value: {"enabled": true, "minWordSizeForTypos": {"oneTypo": 5, "twoTypos": 9}, "disableOnWords": [], "disableOnAttributes": [], "disableOnNumbers": false}
     },
+    {
+        setting: chat,
+        update_verb: put,
+        default_value: {
+            "description": "",
+            "documentTemplate": "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
+            "documentTemplateMaxBytes": 400,
+            "searchParameters": {}
+        }
+    },
 );
 
 #[actix_rt::test]

crates/meilisearch/tests/upgrade/mod.rs

@@ -43,7 +43,7 @@ async fn version_too_old() {
     std::fs::write(db_path.join("VERSION"), "1.11.9999").unwrap();
     let options = Opt { experimental_dumpless_upgrade: true, ..default_settings };
     let err = Server::new_with_options(options).await.map(|_| ()).unwrap_err();
-    snapshot!(err, @"Database version 1.11.9999 is too old for the experimental dumpless upgrade feature. Please generate a dump using the v1.11.9999 and import it in the v1.15.0");
+    snapshot!(err, @"Database version 1.11.9999 is too old for the experimental dumpless upgrade feature. Please generate a dump using the v1.11.9999 and import it in the v1.15.2");
 }
 
 #[actix_rt::test]
@@ -58,7 +58,7 @@ async fn version_requires_downgrade() {
     std::fs::write(db_path.join("VERSION"), format!("{major}.{minor}.{patch}")).unwrap();
     let options = Opt { experimental_dumpless_upgrade: true, ..default_settings };
     let err = Server::new_with_options(options).await.map(|_| ()).unwrap_err();
-    snapshot!(err, @"Database version 1.15.1 is higher than the Meilisearch version 1.15.0. Downgrade is not supported");
+    snapshot!(err, @"Database version 1.15.3 is higher than the Meilisearch version 1.15.2. Downgrade is not supported");
 }
 
 #[actix_rt::test]

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/batches_filter_afterEnqueuedAt_equal_2025-01-16T16_47_41.snap

@@ -8,7 +8,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "progress": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "stats": {
         "totalNbTasks": 1,

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/batches_filter_afterFinishedAt_equal_2025-01-16T16_47_41.snap

@@ -8,7 +8,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "progress": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "stats": {
         "totalNbTasks": 1,

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/batches_filter_afterStartedAt_equal_2025-01-16T16_47_41.snap

@@ -8,7 +8,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "progress": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "stats": {
         "totalNbTasks": 1,

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/tasks_filter_afterEnqueuedAt_equal_2025-01-16T16_47_41.snap

@@ -12,7 +12,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "canceledBy": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "error": null,
       "duration": "[duration]",

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/tasks_filter_afterFinishedAt_equal_2025-01-16T16_47_41.snap

@@ -12,7 +12,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "canceledBy": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "error": null,
       "duration": "[duration]",

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/tasks_filter_afterStartedAt_equal_2025-01-16T16_47_41.snap

@@ -12,7 +12,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "canceledBy": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "error": null,
       "duration": "[duration]",

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/the_whole_batch_queue_once_everything_has_been_processed.snap

@@ -8,7 +8,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "progress": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "stats": {
         "totalNbTasks": 1,

crates/meilisearch/tests/upgrade/v1_12/snapshots/v1_12_0.rs/check_the_index_scheduler/the_whole_task_queue_once_everything_has_been_processed.snap

@@ -12,7 +12,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
       "canceledBy": null,
       "details": {
         "upgradeFrom": "v1.12.0",
-        "upgradeTo": "v1.15.0"
+        "upgradeTo": "v1.15.2"
       },
       "error": null,
       "duration": "[duration]",

crates/milli/src/database_stats.rs

@@ -1,9 +1,6 @@
 use std::mem;
 
-use heed::Database;
-use heed::DatabaseStat;
-use heed::RoTxn;
-use heed::Unspecified;
+use heed::{Database, DatabaseStat, RoTxn, Unspecified};
 use serde::{Deserialize, Serialize};
 
 use crate::BEU32;

crates/milli/src/disabled_typos_terms.rs

@@ -1,10 +1,9 @@
-use heed::{
-    types::{SerdeJson, Str},
-    RoTxn, RwTxn,
-};
+use heed::types::{SerdeJson, Str};
+use heed::{RoTxn, RwTxn};
 use serde::{Deserialize, Serialize};
 
-use crate::{index::main_key, Index};
+use crate::index::main_key;
+use crate::Index;
 
 #[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Default)]
 #[serde(rename_all = "camelCase")]

crates/milli/src/error.rs

@@ -1,5 +1,4 @@
-use std::collections::BTreeSet;
-use std::collections::HashMap;
+use std::collections::{BTreeSet, HashMap};
 use std::convert::Infallible;
 use std::fmt::Write;
 use std::{io, str};
@@ -387,6 +386,8 @@ and can not be more than 511 bytes.", .document_id.to_string()
     DocumentEditionRuntimeError(Box<EvalAltResult>),
     #[error("Document edition runtime error encountered while compiling the function: {0}")]
     DocumentEditionCompilationError(rhai::ParseError),
+    #[error("`.chat.documentTemplateMaxBytes`: `documentTemplateMaxBytes` cannot be zero")]
+    InvalidChatSettingsDocumentTemplateMaxBytes,
     #[error("{0}")]
     DocumentEmbeddingError(String),
 }

crates/milli/src/external_documents_ids.rs

@@ -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?;

crates/milli/src/fields_ids_map.rs

@@ -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 {

crates/milli/src/filterable_attributes_rules.rs

@@ -1,13 +1,12 @@
+use std::collections::{BTreeSet, HashSet};
+
 use deserr::{DeserializeError, Deserr, ValuePointerRef};
 use serde::{Deserialize, Serialize};
-use std::collections::{BTreeSet, HashSet};
 use utoipa::ToSchema;
 
-use crate::{
-    attribute_patterns::{match_distinct_field, match_field_legacy, PatternMatch},
-    constants::RESERVED_GEO_FIELD_NAME,
-    AttributePatterns,
-};
+use crate::attribute_patterns::{match_distinct_field, match_field_legacy, PatternMatch};
+use crate::constants::RESERVED_GEO_FIELD_NAME;
+use crate::AttributePatterns;
 
 #[derive(Serialize, Deserialize, PartialEq, Eq, Clone, Debug, ToSchema)]
 #[serde(untagged)]

crates/milli/src/index.rs

@@ -1,14 +1,18 @@
 use std::borrow::Cow;
 use std::collections::{BTreeMap, BTreeSet, HashMap, HashSet};
+use std::error::Error;
+use std::fmt;
 use std::fs::File;
 use std::path::Path;
 
+use deserr::Deserr;
 use heed::types::*;
 use heed::{CompactionOption, Database, DatabaseStat, RoTxn, RwTxn, Unspecified, WithoutTls};
 use indexmap::IndexMap;
 use roaring::RoaringBitmap;
 use rstar::RTree;
 use serde::{Deserialize, Serialize};
+use utoipa::ToSchema;
 
 use crate::constants::{self, RESERVED_GEO_FIELD_NAME, RESERVED_VECTORS_FIELD_NAME};
 use crate::database_stats::DatabaseStats;
@@ -23,7 +27,9 @@ 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::update::new::StdResult;
 use crate::vector::{ArroyStats, ArroyWrapper, Embedding, EmbeddingConfig};
 use crate::{
     default_criteria, CboRoaringBitmapCodec, Criterion, DocumentId, ExternalDocumentsIds,
@@ -79,6 +85,7 @@ 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 +1698,25 @@ 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, SerdeJson<_>>()
+            .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, SerdeJson<_>>().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<'_>,
@@ -1917,13 +1943,99 @@ 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,
+    pub search_parameters: SearchParameters,
+}
+
+#[derive(Debug, Default, Deserialize, Serialize)]
+#[serde(rename_all = "camelCase")]
+pub struct SearchParameters {
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub hybrid: Option<HybridQuery>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub limit: Option<usize>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub sort: Option<Vec<String>>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub distinct: Option<String>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub matching_strategy: Option<MatchingStrategy>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub attributes_to_search_on: Option<Vec<String>>,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub ranking_score_threshold: Option<RankingScoreThreshold>,
+}
+
+#[derive(Debug, Clone, Copy, Default, Deserialize, Serialize, PartialEq, Deserr, ToSchema)]
+#[deserr(try_from(f64) = TryFrom::try_from -> InvalidSettingsRankingScoreThreshold)]
+pub struct RankingScoreThreshold(f64);
+
+impl RankingScoreThreshold {
+    pub fn as_f64(&self) -> f64 {
+        self.0
+    }
+}
+
+impl TryFrom<f64> for RankingScoreThreshold {
+    type Error = InvalidSettingsRankingScoreThreshold;
+
+    fn try_from(value: f64) -> StdResult<Self, Self::Error> {
+        if !(0.0..=1.0).contains(&value) {
+            Err(InvalidSettingsRankingScoreThreshold)
+        } else {
+            Ok(RankingScoreThreshold(value))
+        }
+    }
+}
+
+#[derive(Debug)]
+pub struct InvalidSettingsRankingScoreThreshold;
+
+impl Error for InvalidSettingsRankingScoreThreshold {}
+
+impl fmt::Display for InvalidSettingsRankingScoreThreshold {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        write!(
+            f,
+            "the value of `rankingScoreThreshold` is invalid, expected a float between `0.0` and `1.0`."
+        )
+    }
+}
+
+#[derive(Debug, Clone, Default, Deserialize, Serialize)]
+#[serde(rename_all = "camelCase")]
+pub struct HybridQuery {
+    pub semantic_ratio: f32,
+    pub embedder: String,
+}
+
 #[derive(Debug, Deserialize, Serialize)]
+#[serde(rename_all = "camelCase")]
 pub struct PrefixSettings {
     pub prefix_count_threshold: usize,
     pub max_prefix_length: usize,
     pub compute_prefixes: PrefixSearch,
 }
 
+/// This is unfortunately a duplication of the struct in <meilisearch/src/search/mod.rs>.
+/// The reason why it is duplicated is because milli cannot depend on meilisearch. It would be cyclic imports.
+#[derive(Default, Debug, Copy, Clone, PartialEq, Eq, Deserr, ToSchema, Serialize, Deserialize)]
+#[deserr(rename_all = camelCase)]
+#[serde(rename_all = "camelCase")]
+pub enum MatchingStrategy {
+    /// Remove query words from last to first
+    #[default]
+    Last,
+    /// All query words are mandatory
+    All,
+    /// Remove query words from the most frequent to the least
+    Frequency,
+}
+
 #[derive(Debug, Clone, Copy, Serialize, Deserialize, PartialEq, Eq, Default)]
 #[serde(rename_all = "camelCase")]
 pub enum PrefixSearch {

crates/milli/src/lib.rs

@@ -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;

crates/milli/src/progress.rs

@@ -1,4 +1,3 @@
-use enum_iterator::Sequence;
 use std::any::TypeId;
 use std::borrow::Cow;
 use std::marker::PhantomData;
@@ -6,6 +5,7 @@ use std::sync::atomic::{AtomicU32, Ordering};
 use std::sync::{Arc, RwLock};
 use std::time::{Duration, Instant};
 
+use enum_iterator::Sequence;
 use indexmap::IndexMap;
 use itertools::Itertools;
 use serde::Serialize;

crates/milli/src/prompt/mod.rs

@@ -64,7 +64,7 @@ fn default_template() -> liquid::Template {
     new_template(default_template_text()).unwrap()
 }
 
-fn default_template_text() -> &'static str {
+pub fn default_template_text() -> &'static str {
     "{% for field in fields %}\
     {% if field.is_searchable and field.value != nil %}\
     {{ field.name }}: {{ field.value }}\n\

crates/milli/src/search/mod.rs

@@ -10,6 +10,7 @@ pub use self::facet::{FacetDistribution, Filter, OrderBy, DEFAULT_VALUES_PER_FAC
 pub use self::new::matches::{FormatOptions, MatchBounds, MatcherBuilder, MatchingWords};
 use self::new::{execute_vector_search, PartialSearchResult, VectorStoreStats};
 use crate::filterable_attributes_rules::{filtered_matching_patterns, matching_features};
+use crate::index::MatchingStrategy;
 use crate::score_details::{ScoreDetails, ScoringStrategy};
 use crate::vector::Embedder;
 use crate::{
@@ -364,6 +365,16 @@ impl Default for TermsMatchingStrategy {
     }
 }
 
+impl From<MatchingStrategy> for TermsMatchingStrategy {
+    fn from(other: MatchingStrategy) -> Self {
+        match other {
+            MatchingStrategy::Last => Self::Last,
+            MatchingStrategy::All => Self::All,
+            MatchingStrategy::Frequency => Self::Frequency,
+        }
+    }
+}
+
 fn get_first(s: &str) -> &str {
     match s.chars().next() {
         Some(c) => &s[..c.len_utf8()],

crates/milli/src/search/new/geo_sort.rs

@@ -1,8 +1,9 @@
+use std::collections::VecDeque;
+
 use heed::types::{Bytes, Unit};
 use heed::{RoPrefix, RoTxn};
 use roaring::RoaringBitmap;
 use rstar::RTree;
-use std::collections::VecDeque;
 
 use super::facet_string_values;
 use super::ranking_rules::{RankingRule, RankingRuleOutput, RankingRuleQueryTrait};

crates/milli/src/search/new/mod.rs

@@ -47,8 +47,7 @@ use sort::Sort;
 
 use self::distinct::facet_string_values;
 use self::geo_sort::GeoSort;
-pub use self::geo_sort::Parameter as GeoSortParameter;
-pub use self::geo_sort::Strategy as GeoSortStrategy;
+pub use self::geo_sort::{Parameter as GeoSortParameter, Strategy as GeoSortStrategy};
 use self::graph_based_ranking_rule::Words;
 use self::interner::Interned;
 use self::vector_sort::VectorSort;

crates/milli/src/update/chat.rs

@@ -0,0 +1,182 @@
+use std::error::Error;
+use std::fmt;
+
+use deserr::errors::JsonError;
+use deserr::Deserr;
+use serde::{Deserialize, Serialize};
+use utoipa::ToSchema;
+
+use crate::index::{self, ChatConfig, MatchingStrategy, RankingScoreThreshold, SearchParameters};
+use crate::prompt::{default_max_bytes, PromptData};
+use crate::update::Setting;
+
+#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Deserr, ToSchema)]
+#[serde(deny_unknown_fields, rename_all = "camelCase")]
+#[deserr(error = JsonError, 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>,
+
+    /// The search parameters to use for the LLM.
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default)]
+    #[schema(value_type = Option<ChatSearchParams>)]
+    pub search_parameters: Setting<ChatSearchParams>,
+}
+
+impl From<ChatConfig> for ChatSettings {
+    fn from(config: ChatConfig) -> Self {
+        let ChatConfig {
+            description,
+            prompt: PromptData { template, max_bytes },
+            search_parameters,
+        } = 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(),
+            ),
+            search_parameters: Setting::Set({
+                let SearchParameters {
+                    hybrid,
+                    limit,
+                    sort,
+                    distinct,
+                    matching_strategy,
+                    attributes_to_search_on,
+                    ranking_score_threshold,
+                } = search_parameters;
+
+                let hybrid = hybrid.map(|index::HybridQuery { semantic_ratio, embedder }| {
+                    HybridQuery { semantic_ratio: SemanticRatio(semantic_ratio), embedder }
+                });
+
+                ChatSearchParams {
+                    hybrid: Setting::some_or_not_set(hybrid),
+                    limit: Setting::some_or_not_set(limit),
+                    sort: Setting::some_or_not_set(sort),
+                    distinct: Setting::some_or_not_set(distinct),
+                    matching_strategy: Setting::some_or_not_set(matching_strategy),
+                    attributes_to_search_on: Setting::some_or_not_set(attributes_to_search_on),
+                    ranking_score_threshold: Setting::some_or_not_set(ranking_score_threshold),
+                }
+            }),
+        }
+    }
+}
+
+#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Deserr, ToSchema)]
+#[serde(deny_unknown_fields, rename_all = "camelCase")]
+#[deserr(error = JsonError, deny_unknown_fields, rename_all = camelCase)]
+pub struct ChatSearchParams {
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default)]
+    #[schema(value_type = Option<HybridQuery>)]
+    pub hybrid: Setting<HybridQuery>,
+
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default = Setting::Set(20))]
+    #[schema(value_type = Option<usize>)]
+    pub limit: Setting<usize>,
+
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default)]
+    #[schema(value_type = Option<Vec<String>>)]
+    pub sort: Setting<Vec<String>>,
+
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default)]
+    #[schema(value_type = Option<String>)]
+    pub distinct: Setting<String>,
+
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default)]
+    #[schema(value_type = Option<MatchingStrategy>)]
+    pub matching_strategy: Setting<MatchingStrategy>,
+
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default)]
+    #[schema(value_type = Option<Vec<String>>)]
+    pub attributes_to_search_on: Setting<Vec<String>>,
+
+    #[serde(default, skip_serializing_if = "Setting::is_not_set")]
+    #[deserr(default)]
+    #[schema(value_type = Option<RankingScoreThreshold>)]
+    pub ranking_score_threshold: Setting<RankingScoreThreshold>,
+}
+
+#[derive(Debug, Clone, Default, Deserr, ToSchema, PartialEq, Serialize, Deserialize)]
+#[serde(rename_all = "camelCase")]
+#[deserr(error = JsonError, rename_all = camelCase, deny_unknown_fields)]
+pub struct HybridQuery {
+    #[deserr(default)]
+    #[serde(default)]
+    #[schema(default, value_type = f32)]
+    pub semantic_ratio: SemanticRatio,
+    #[schema(value_type = String)]
+    pub embedder: String,
+}
+
+#[derive(Debug, Clone, Copy, Deserr, ToSchema, PartialEq, Serialize, Deserialize)]
+#[deserr(try_from(f32) = TryFrom::try_from -> InvalidSearchSemanticRatio)]
+pub struct SemanticRatio(f32);
+
+impl Default for SemanticRatio {
+    fn default() -> Self {
+        SemanticRatio(0.5)
+    }
+}
+
+impl std::convert::TryFrom<f32> for SemanticRatio {
+    type Error = InvalidSearchSemanticRatio;
+
+    fn try_from(f: f32) -> Result<Self, Self::Error> {
+        // the suggested "fix" is: `!(0.0..=1.0).contains(&f)`` which is allegedly less readable
+        #[allow(clippy::manual_range_contains)]
+        if f > 1.0 || f < 0.0 {
+            Err(InvalidSearchSemanticRatio)
+        } else {
+            Ok(SemanticRatio(f))
+        }
+    }
+}
+
+#[derive(Debug)]
+pub struct InvalidSearchSemanticRatio;
+
+impl Error for InvalidSearchSemanticRatio {}
+
+impl fmt::Display for InvalidSearchSemanticRatio {
+    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
+        write!(
+            f,
+            "the value of `semanticRatio` is invalid, expected a float between `0.0` and `1.0`."
+        )
+    }
+}
+
+impl std::ops::Deref for SemanticRatio {
+    type Target = f32;
+
+    fn deref(&self) -> &Self::Target {
+        &self.0
+    }
+}

crates/milli/src/update/index_documents/extract/extract_docid_word_positions.rs

@@ -29,7 +29,6 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
     let max_positions_per_attributes = max_positions_per_attributes
         .map_or(MAX_POSITION_PER_ATTRIBUTE, |max| max.min(MAX_POSITION_PER_ATTRIBUTE));
     let max_memory = indexer.max_memory_by_thread();
-    let force_reindexing = settings_diff.reindex_searchable();
 
     // initialize destination values.
     let mut documents_ids = RoaringBitmap::new();
@@ -43,6 +42,12 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
         true,
     );
 
+    let force_reindexing = settings_diff.reindex_searchable();
+    let skip_indexing = !force_reindexing && settings_diff.settings_update_only();
+    if skip_indexing {
+        return sorter_into_reader(docid_word_positions_sorter, indexer);
+    }
+
     // initialize buffers.
     let mut del_buffers = Buffers::default();
     let mut add_buffers = Buffers::default();

crates/milli/src/update/mod.rs

@@ -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;

crates/milli/src/update/new/extract/faceted/facet_document.rs

@@ -4,6 +4,7 @@ use serde_json::Value;
 
 use crate::attribute_patterns::PatternMatch;
 use crate::fields_ids_map::metadata::Metadata;
+use crate::filterable_attributes_rules::match_faceted_field;
 use crate::update::new::document::Document;
 use crate::update::new::extract::geo::extract_geo_coordinates;
 use crate::update::new::extract::perm_json_p;
@@ -11,8 +12,6 @@ use crate::{
     FieldId, FilterableAttributesRule, GlobalFieldsIdsMap, InternalError, Result, UserError,
 };
 
-use crate::filterable_attributes_rules::match_faceted_field;
-
 #[allow(clippy::too_many_arguments)]
 pub fn extract_document_facets<'doc>(
     document: impl Document<'doc>,

crates/milli/src/update/new/extract/mod.rs

@@ -18,7 +18,8 @@ pub use vectors::EmbeddingExtractor;
 pub mod perm_json_p {
     use serde_json::{Map, Value};
 
-    use crate::{attribute_patterns::PatternMatch, Result};
+    use crate::attribute_patterns::PatternMatch;
+    use crate::Result;
     const SPLIT_SYMBOL: char = '.';
 
     /// Returns `true` if the `selector` match the `key`.

crates/milli/src/update/new/extract/vectors/mod.rs

@@ -111,6 +111,8 @@ impl<'extractor> Extractor<'extractor> for EmbeddingExtractor<'_, '_> {
                         let prompt = chunks.prompt();
 
                         let old_vectors = old_vectors.vectors_for_key(embedder_name)?.unwrap();
+
+                        // case where we have a `_vectors` field in the updated document
                         if let Some(new_vectors) = new_vectors.as_ref().and_then(|new_vectors| {
                             new_vectors.vectors_for_key(embedder_name).transpose()
                         }) {
@@ -130,18 +132,9 @@ impl<'extractor> Extractor<'extractor> for EmbeddingExtractor<'_, '_> {
                                             error: error.to_string(),
                                         })?,
                                 )?;
+                            // regenerate if the new `_vectors` fields is set to.
                             } else if new_vectors.regenerate {
                                 let new_rendered = prompt.render_document(
-                                    update.external_document_id(),
-                                    update.current(
-                                        &context.rtxn,
-                                        context.index,
-                                        context.db_fields_ids_map,
-                                    )?,
-                                    context.new_fields_ids_map,
-                                    &context.doc_alloc,
-                                )?;
-                                let old_rendered = prompt.render_document(
                                     update.external_document_id(),
                                     update.merged(
                                         &context.rtxn,
@@ -151,7 +144,31 @@ impl<'extractor> Extractor<'extractor> for EmbeddingExtractor<'_, '_> {
                                     context.new_fields_ids_map,
                                     &context.doc_alloc,
                                 )?;
-                                if new_rendered != old_rendered {
+                                let must_regenerate = if !old_vectors.regenerate {
+                                    // we just enabled `regenerate`
+                                    true
+                                } else {
+                                    let old_rendered = prompt.render_document(
+                                        update.external_document_id(),
+                                        update.current(
+                                            &context.rtxn,
+                                            context.index,
+                                            context.db_fields_ids_map,
+                                        )?,
+                                        context.new_fields_ids_map,
+                                        &context.doc_alloc,
+                                    );
+
+                                    if let Ok(old_rendered) = old_rendered {
+                                        // must regenerate if the rendered changed
+                                        new_rendered != old_rendered
+                                    } else {
+                                        // cannot check previous rendered, better regenerate
+                                        true
+                                    }
+                                };
+
+                                if must_regenerate {
                                     chunks.set_autogenerated(
                                         update.docid(),
                                         update.external_document_id(),
@@ -160,17 +177,8 @@ impl<'extractor> Extractor<'extractor> for EmbeddingExtractor<'_, '_> {
                                     )?;
                                 }
                             }
+                        // no `_vectors` field, so only regenerate if the document is already set to in the DB.
                         } else if old_vectors.regenerate {
-                            let old_rendered = prompt.render_document(
-                                update.external_document_id(),
-                                update.current(
-                                    &context.rtxn,
-                                    context.index,
-                                    context.db_fields_ids_map,
-                                )?,
-                                context.new_fields_ids_map,
-                                &context.doc_alloc,
-                            )?;
                             let new_rendered = prompt.render_document(
                                 update.external_document_id(),
                                 update.merged(
@@ -181,7 +189,28 @@ impl<'extractor> Extractor<'extractor> for EmbeddingExtractor<'_, '_> {
                                 context.new_fields_ids_map,
                                 &context.doc_alloc,
                             )?;
-                            if new_rendered != old_rendered {
+
+                            let must_regenerate = {
+                                let old_rendered = prompt.render_document(
+                                    update.external_document_id(),
+                                    update.current(
+                                        &context.rtxn,
+                                        context.index,
+                                        context.db_fields_ids_map,
+                                    )?,
+                                    context.new_fields_ids_map,
+                                    &context.doc_alloc,
+                                );
+                                if let Ok(old_rendered) = old_rendered {
+                                    // regenerate if the rendered version changed
+                                    new_rendered != old_rendered
+                                } else {
+                                    // if we cannot render the previous version of the documents, let's regenerate
+                                    true
+                                }
+                            };
+
+                            if must_regenerate {
                                 chunks.set_autogenerated(
                                     update.docid(),
                                     update.external_document_id(),

crates/milli/src/update/settings.rs

@@ -11,22 +11,23 @@ use roaring::RoaringBitmap;
 use serde::{Deserialize, Deserializer, Serialize, Serializer};
 use time::OffsetDateTime;
 
+use super::chat::ChatSearchParams;
 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;
 use crate::disabled_typos_terms::DisabledTyposTerms;
-use crate::error::UserError;
+use crate::error::UserError::{self, InvalidChatSettingsDocumentTemplateMaxBytes};
 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,
-    DEFAULT_MIN_WORD_LEN_TWO_TYPOS,
+    ChatConfig, IndexEmbeddingConfig, PrefixSearch, SearchParameters,
+    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, default_template_text, PromptData};
 use crate::proximity::ProximityPrecision;
 use crate::update::index_documents::IndexDocumentsMethod;
 use crate::update::{IndexDocuments, UpdateIndexingStep};
@@ -185,6 +186,7 @@ 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 +225,7 @@ 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 +456,14 @@ 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),
@@ -1238,6 +1249,112 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
         Ok(())
     }
 
+    fn update_chat_config(&mut self) -> 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,
+                search_parameters: new_search_parameters,
+            }) => {
+                let ChatConfig { description, prompt, search_parameters } =
+                    self.index.chat_config(self.wtxn)?;
+
+                let description = match new_description {
+                    Setting::Set(new) => new.clone(),
+                    Setting::Reset => Default::default(),
+                    Setting::NotSet => description,
+                };
+
+                let prompt = PromptData {
+                    template: match new_document_template {
+                        Setting::Set(new) => new.clone(),
+                        Setting::Reset => default_template_text().to_string(),
+                        Setting::NotSet => prompt.template.clone(),
+                    },
+                    max_bytes: match new_document_template_max_bytes {
+                        Setting::Set(m) => Some(
+                            NonZeroUsize::new(*m)
+                                .ok_or(InvalidChatSettingsDocumentTemplateMaxBytes)?,
+                        ),
+                        Setting::Reset => Some(default_max_bytes()),
+                        Setting::NotSet => prompt.max_bytes,
+                    },
+                };
+
+                let search_parameters = match new_search_parameters {
+                    Setting::Set(sp) => {
+                        let ChatSearchParams {
+                            hybrid,
+                            limit,
+                            sort,
+                            distinct,
+                            matching_strategy,
+                            attributes_to_search_on,
+                            ranking_score_threshold,
+                        } = sp;
+
+                        SearchParameters {
+                            hybrid: match hybrid {
+                                Setting::Set(hybrid) => Some(crate::index::HybridQuery {
+                                    semantic_ratio: *hybrid.semantic_ratio,
+                                    embedder: hybrid.embedder.clone(),
+                                }),
+                                Setting::Reset => None,
+                                Setting::NotSet => search_parameters.hybrid.clone(),
+                            },
+                            limit: match limit {
+                                Setting::Set(limit) => Some(*limit),
+                                Setting::Reset => None,
+                                Setting::NotSet => search_parameters.limit,
+                            },
+                            sort: match sort {
+                                Setting::Set(sort) => Some(sort.clone()),
+                                Setting::Reset => None,
+                                Setting::NotSet => search_parameters.sort.clone(),
+                            },
+                            distinct: match distinct {
+                                Setting::Set(distinct) => Some(distinct.clone()),
+                                Setting::Reset => None,
+                                Setting::NotSet => search_parameters.distinct.clone(),
+                            },
+                            matching_strategy: match matching_strategy {
+                                Setting::Set(matching_strategy) => Some(*matching_strategy),
+                                Setting::Reset => None,
+                                Setting::NotSet => search_parameters.matching_strategy,
+                            },
+                            attributes_to_search_on: match attributes_to_search_on {
+                                Setting::Set(attributes_to_search_on) => {
+                                    Some(attributes_to_search_on.clone())
+                                }
+                                Setting::Reset => None,
+                                Setting::NotSet => {
+                                    search_parameters.attributes_to_search_on.clone()
+                                }
+                            },
+                            ranking_score_threshold: match ranking_score_threshold {
+                                Setting::Set(rst) => Some(*rst),
+                                Setting::Reset => None,
+                                Setting::NotSet => search_parameters.ranking_score_threshold,
+                            },
+                        }
+                    }
+                    Setting::Reset => Default::default(),
+                    Setting::NotSet => search_parameters,
+                };
+
+                self.index.put_chat_config(
+                    self.wtxn,
+                    &ChatConfig { description, prompt, search_parameters },
+                )?;
+
+                Ok(true)
+            }
+            Setting::Reset => self.index.delete_chat_config(self.wtxn).map_err(Into::into),
+            Setting::NotSet => Ok(false),
+        }
+    }
+
     pub fn execute<FP, FA>(mut self, progress_callback: FP, should_abort: FA) -> Result<()>
     where
         FP: Fn(UpdateIndexingStep) + Sync,
@@ -1275,6 +1392,7 @@ 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()?;
 

crates/milli/src/update/test_settings.rs

@@ -897,6 +897,7 @@ fn test_correct_settings_init() {
                 prefix_search,
                 facet_search,
                 disable_on_numbers,
+                chat,
             } = settings;
             assert!(matches!(searchable_fields, Setting::NotSet));
             assert!(matches!(displayed_fields, Setting::NotSet));
@@ -925,6 +926,7 @@ fn test_correct_settings_init() {
             assert!(matches!(prefix_search, Setting::NotSet));
             assert!(matches!(facet_search, Setting::NotSet));
             assert!(matches!(disable_on_numbers, Setting::NotSet));
+            assert!(matches!(chat, Setting::NotSet));
         })
         .unwrap();
 }

crates/milli/src/vector/settings.rs

@@ -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 {
     ///
     /// - 🏗️ 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 {
     /// - 🌱 When modified for source `openAi`, embeddings are never regenerated
     /// - 🏗️ 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 {
     ///
     /// - 🏗️ 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 {
     ///
     /// - 🏗️ 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>>)]