Fix the openai backend + evading the @property of

tokenizer.eos_token_id.

router/src/lib.rs

@@ -589,7 +589,9 @@ pub(crate) struct ChatCompletionChoice {
 #[derive(Clone, Debug, Deserialize, Serialize, ToSchema)]
 pub(crate) struct ChatCompletionDelta {
     #[schema(example = "user")]
-    pub role: String,
+    // TODO Modify this to a true enum.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub role: Option<String>,
     #[serde(default, skip_serializing_if = "Option::is_none")]
     #[schema(example = "What is Deep Learning?")]
     pub content: Option<String>,
@@ -623,6 +625,31 @@ impl ChatCompletionChunk {
         logprobs: Option<ChatCompletionLogprobs>,
         finish_reason: Option<String>,
     ) -> Self {
+        let delta = match (delta, tool_calls) {
+            (Some(delta), _) => ChatCompletionDelta {
+                role: Some("assistant".to_string()),
+                content: Some(delta),
+                tool_calls: None,
+            },
+            (None, Some(tool_calls)) => ChatCompletionDelta {
+                role: Some("assistant".to_string()),
+                content: None,
+                tool_calls: Some(DeltaToolCall {
+                    index: 0,
+                    id: String::new(),
+                    r#type: "function".to_string(),
+                    function: Function {
+                        name: None,
+                        arguments: tool_calls[0].to_string(),
+                    },
+                }),
+            },
+            (None, None) => ChatCompletionDelta {
+                role: None,
+                content: None,
+                tool_calls: None,
+            },
+        };
         Self {
             id: String::new(),
             object: "text_completion".to_string(),
@@ -631,19 +658,7 @@ impl ChatCompletionChunk {
             system_fingerprint,
             choices: vec![ChatCompletionChoice {
                 index: 0,
-                delta: ChatCompletionDelta {
+                delta,
-                    role: "assistant".to_string(),
-                    content: delta,
-                    tool_calls: tool_calls.map(|tc| DeltaToolCall {
-                        index: 0,
-                        id: String::new(),
-                        r#type: "function".to_string(),
-                        function: Function {
-                            name: None,
-                            arguments: tc[0].to_string(),
-                        },
-                    }),
-                },
                 logprobs,
                 finish_reason,
             }],

router/src/server.rs

@@ -1097,7 +1097,13 @@ async fn chat_completions(
             let (content, tool_calls) = if tool_grammar.is_some() {
                 (None, Some(vec![stream_token.token.text]))
             } else {
-                (Some(stream_token.token.text), None)
+                let content = if !stream_token.token.special {
+                    Some(stream_token.token.text)
+                } else {
+                    None
+                };
+
+                (content, None)
             };
 
             event

server/text_generation_server/models/flash_llama.py

@@ -56,7 +56,8 @@ class FlashLlama(FlashCausalLM):
             model_id, revision=revision, trust_remote_code=trust_remote_code
         )
         if isinstance(generation_config.eos_token_id, (list, set)):
-            tokenizer.eos_token_id = set(tokenizer.eos_token_id)
+            # TODO Huge hack
+            tokenizer._eos_token_ids = set(generation_config.eos_token_id)
 
         config = AutoConfig.from_pretrained(
             model_id, revision=revision, trust_remote_code=trust_remote_code

server/text_generation_server/models/model.py

@@ -27,7 +27,14 @@ class Model(ABC):
     ):
         self.model = model.eval()
         self.tokenizer = tokenizer
+
+        # all_special_ids is not set correctly if the rust tokenizer is unpacked
+        # TODO report this to transformers.
+        other_special_ids = {
+            id for id, token in tokenizer.added_tokens_decoder.items() if token.special
+        }
         self.all_special_ids = set(tokenizer.all_special_ids)
+        self.all_special_ids.update(other_special_ids)
         self.requires_padding = requires_padding
         self.dtype = dtype
         self.device = device

server/text_generation_server/utils/tokens.py

@@ -197,8 +197,10 @@ class StoppingCriteria:
         stop_sequence_criterias = [
             StopSequenceCriteria(sequence) for sequence in pb.stop_sequences
         ]
+        # TODO Hack because eos_token_id cannot be what we want.
+        eos_token_id = getattr(tokenizer, "_eos_token_ids", tokenizer.eos_token_id)
         return StoppingCriteria(
-            tokenizer.eos_token_id,
+            eos_token_id,
             stop_sequence_criterias,
             pb.max_new_tokens,
             pb.ignore_eos_token,