support bedrock kb: retrieve and generate

api/core/tools/provider/builtin/aws/tools/bedrock_config.py

@@ -0,0 +1,114 @@
+"""
+Configuration classes for AWS Bedrock retrieve and generate API
+"""
+
+from dataclasses import dataclass
+from typing import Any, Literal, Optional
+
+
+@dataclass
+class TextInferenceConfig:
+    """Text inference configuration"""
+
+    maxTokens: Optional[int] = None
+    stopSequences: Optional[list[str]] = None
+    temperature: Optional[float] = None
+    topP: Optional[float] = None
+
+
+@dataclass
+class PerformanceConfig:
+    """Performance configuration"""
+
+    latency: Literal["standard", "optimized"]
+
+
+@dataclass
+class PromptTemplate:
+    """Prompt template configuration"""
+
+    textPromptTemplate: str
+
+
+@dataclass
+class GuardrailConfig:
+    """Guardrail configuration"""
+
+    guardrailId: str
+    guardrailVersion: str
+
+
+@dataclass
+class GenerationConfig:
+    """Generation configuration"""
+
+    additionalModelRequestFields: Optional[dict[str, Any]] = None
+    guardrailConfiguration: Optional[GuardrailConfig] = None
+    inferenceConfig: Optional[dict[str, TextInferenceConfig]] = None
+    performanceConfig: Optional[PerformanceConfig] = None
+    promptTemplate: Optional[PromptTemplate] = None
+
+
+@dataclass
+class VectorSearchConfig:
+    """Vector search configuration"""
+
+    filter: Optional[dict[str, Any]] = None
+    numberOfResults: Optional[int] = None
+    overrideSearchType: Optional[Literal["HYBRID", "SEMANTIC"]] = None
+
+
+@dataclass
+class RetrievalConfig:
+    """Retrieval configuration"""
+
+    vectorSearchConfiguration: VectorSearchConfig
+
+
+@dataclass
+class OrchestrationConfig:
+    """Orchestration configuration"""
+
+    additionalModelRequestFields: Optional[dict[str, Any]] = None
+    inferenceConfig: Optional[dict[str, TextInferenceConfig]] = None
+    performanceConfig: Optional[PerformanceConfig] = None
+    promptTemplate: Optional[PromptTemplate] = None
+
+
+@dataclass
+class KnowledgeBaseConfig:
+    """Knowledge base configuration"""
+
+    generationConfiguration: GenerationConfig
+    knowledgeBaseId: str
+    modelArn: str
+    orchestrationConfiguration: Optional[OrchestrationConfig] = None
+    retrievalConfiguration: Optional[RetrievalConfig] = None
+
+
+@dataclass
+class SessionConfig:
+    """Session configuration"""
+
+    kmsKeyArn: Optional[str] = None
+    sessionId: Optional[str] = None
+
+
+@dataclass
+class RetrieveAndGenerateConfiguration:
+    """Retrieve and generate configuration
+    The use of knowledgeBaseConfiguration or externalSourcesConfiguration depends on the type value
+    """
+
+    type: str = "KNOWLEDGE_BASE"
+    knowledgeBaseConfiguration: Optional[KnowledgeBaseConfig] = None
+
+
+@dataclass
+class RetrieveAndGenerateConfig:
+    """Retrieve and generate main configuration"""
+
+    input: dict[str, str]
+    retrieveAndGenerateConfiguration: RetrieveAndGenerateConfiguration
+    sessionConfiguration: Optional[SessionConfig] = None
+    sessionId: Optional[str] = None