Add Agent capabilities and configurations across the application

- Extend the AssistantConfig model to include agent_interface_type, agent_values, and agent_secrets for enhanced agent management.
- Update ModelType to include "Agent" for broader capability support.
- Seed new agent models and configurations in the database for Dify, FastGPT, and OpenCode applications.
- Modify the Assistant routes to validate and handle agent capabilities.
- Implement agent resource resolution in the config resolver for runtime configuration.
- Enhance the interface catalog with agent-specific fields and definitions.
- Update frontend components to manage agent configurations, including form handling and state management for agent-related inputs.

backend/schemas.py

@@ -13,7 +13,7 @@ from pydantic import BaseModel, ConfigDict, Field, model_validator
 from pydantic.alias_generators import to_camel
 
 RuntimeMode = Literal["pipeline", "realtime"]
-ModelType = Literal["LLM", "ASR", "TTS", "Realtime", "Embedding"]
+ModelType = Literal["LLM", "ASR", "TTS", "Realtime", "Embedding", "Agent"]
 AssistantType = Literal["prompt", "workflow", "dify", "fastgpt", "opencode"]
 
 # 外部应用类型:其 config.apiKey 是该助手私有密钥,读时打码 / 写时哨兵