feat: Update embedder_config validation to use Pydantic v2 style

Co-Authored-By: Joe Moura <joao@crewai.com>

src/crewai/agent.py

@@ -3,9 +3,10 @@ import shutil
 import subprocess
 from typing import Any, Dict, List, Literal, Optional, Sequence, Union
 
-from pydantic import Field, InstanceOf, PrivateAttr, model_validator
+from pydantic import Field, InstanceOf, PrivateAttr, field_validator, model_validator
 
 from crewai.agents import CacheHandler
+from crewai.utilities import EmbeddingConfigurator
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.agents.crew_agent_executor import CrewAgentExecutor
 from crewai.knowledge.knowledge import Knowledge
@@ -120,12 +121,22 @@ class Agent(BaseAgent):
         description="Embedder configuration for the agent. Must include 'provider' and relevant configuration parameters.",
     )
 
-    @validator("embedder_config")
-    def validate_embedder_config(cls, v):
+    @field_validator("embedder_config")
+    @classmethod
+    def validate_embedder_config(cls, v: Optional[Dict[str, Any]]) -> Optional[Dict[str, Any]]:
         """Validate embedder configuration.
         
         Args:
             v: The embedder configuration to validate.
+                Must include 'provider' and 'config' keys.
+                Example:
+                {
+                    'provider': 'openai',
+                    'config': {
+                        'api_key': 'your-key',
+                        'model': 'text-embedding-3-small'
+                    }
+                }
             
         Returns:
             The validated embedder configuration.
@@ -134,10 +145,17 @@ class Agent(BaseAgent):
             ValueError: If the embedder configuration is invalid.
         """
         if v is not None:
-            if not isinstance(v, dict) or "provider" not in v:
+            if not isinstance(v, dict):
+                raise ValueError("embedder_config must be a dictionary")
+            if "provider" not in v:
                 raise ValueError("embedder_config must contain 'provider' key")
             if "config" not in v:
                 raise ValueError("embedder_config must contain 'config' key")
+            if v["provider"] not in EmbeddingConfigurator().embedding_functions:
+                raise ValueError(
+                    f"Unsupported embedding provider: {v['provider']}, "
+                    f"supported providers: {list(EmbeddingConfigurator().embedding_functions.keys())}"
+                )
         return v
 
     @model_validator(mode="after")