feat: add telemetry support for query execution tracking and configur… (#1900)

* feat: add telemetry support for query execution tracking and configuration

* feat: integrate telemetry manager and enable telemetry data sending

* feat: integrate telemetry manager and enhance error handling for telemetry sending

* feat: update telemetry configuration to use 'space' instead of 'telemetry' and adjust related parameters

* feat: integrate telemetry manager and enable telemetry data sending

* feat: integrate telemetry manager and enhance error handling for telemetry sending

* feat: add instance id

* feat: enhance telemetry management with asynchronous task handling and improve model retrieval caching

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Co-authored-by: Junyan Qin <rockchinq@gmail.com>

src/langbot/pkg/provider/modelmgr/modelmgr.py

@@ -9,6 +9,7 @@ from ...discover import engine
 from . import token
 from ...entity.persistence import model as persistence_model
 from ...entity.errors import provider as provider_errors
+from async_lru import alru_cache
 
 
 class ModelManager:
@@ -349,6 +350,7 @@ class ModelManager:
 
         await self.load_embedding_model_with_provider(model_entity, provider_entity)
 
+    @alru_cache(ttl=60 * 5)
     async def get_model_by_uuid(self, uuid: str) -> requester.RuntimeLLMModel:
         """Get LLM model by uuid"""
         for model in self.llm_models:
@@ -356,6 +358,7 @@ class ModelManager:
                 return model
         raise ValueError(f'LLM model {uuid} not found')
 
+    @alru_cache(ttl=60 * 5)
     async def get_embedding_model_by_uuid(self, uuid: str) -> requester.RuntimeEmbeddingModel:
         """Get embedding model by uuid"""
         for model in self.embedding_models: