add Tool Parser (#3272)

* add tool-parser

* add tool-parser

* add tool parser

* add tool parser

* fix

* add offline

* add offline

* fix

* parsers:tool&reasoning

* 修改tool parser名称·

* update

* fix reasoning-parser

* add requirements

* fix finish reason

* fix

* fix reasoning-parser

* fix

* fix

* fix

* fix

* fix

---------

Co-authored-by: zhuzixuan <zhuzixuan@baidu.com>

fastdeploy/engine/config.py

@@ -86,6 +86,7 @@ class Config:
         max_long_partial_prefills: int = 1,
         long_prefill_token_threshold: int = 0,
         reasoning_parser: str = None,
+        tool_parser: str = None,
         guided_decoding_backend: Optional[str] = None,
         disable_any_whitespace: bool = False,
         enable_logprob: bool = False,
@@ -166,6 +167,7 @@ class Config:
         self.max_long_partial_prefills = max_long_partial_prefills
         self.long_prefill_token_threshold = long_prefill_token_threshold
         self.reasoning_parser = reasoning_parser
+        self.tool_parser = tool_parser
         self.graph_optimization_config = graph_optimization_config
         self.early_stop_config = early_stop_config
         self.guided_decoding_backend = guided_decoding_backend
@@ -245,10 +247,10 @@ class Config:
             if self.cache_config.enable_chunked_prefill:
                 self.max_num_batched_tokens = 2048
             else:
-                if not int(os.getenv('ENABLE_V1_KVCACHE_SCHEDULER', '0')):
+                if not int(os.getenv("ENABLE_V1_KVCACHE_SCHEDULER", "0")):
                     self.max_num_batched_tokens = self.max_model_len
                 else:
-                    self.max_num_batched_tokens = 8192 # if set to max_model_len, it's easy to be OOM
+                    self.max_num_batched_tokens = 8192  # if set to max_model_len, it's easy to be OOM
 
         if self.long_prefill_token_threshold == 0:
             self.long_prefill_token_threshold = int(self.max_model_len * 0.04)
@@ -296,7 +298,7 @@ class Config:
         )
 
         if not self.cache_config.enable_chunked_prefill:
-            if not int(os.getenv('ENABLE_V1_KVCACHE_SCHEDULER', '0')):
+            if not int(os.getenv("ENABLE_V1_KVCACHE_SCHEDULER", "0")):
                 assert self.max_num_batched_tokens >= self.max_model_len, (
                     f"max_num_batched_tokens: {self.max_num_batched_tokens} "
                     f"should be larger than or equal to max_model_len: {self.max_model_len}"