temp

dist/llm.d.ts

@@ -0,0 +1,78 @@
+export interface LLMMessage {
+    role: 'system' | 'user' | 'assistant' | 'tool';
+    content: string | null;
+    tool_calls?: LLMToolCall[];
+    tool_call_id?: string;
+    name?: string;
+}
+export interface LLMToolCall {
+    id: string;
+    type: 'function';
+    function: {
+        name: string;
+        arguments: string;
+    };
+}
+export interface LLMTool {
+    type: 'function';
+    function: {
+        name: string;
+        description: string;
+        parameters: Record<string, unknown>;
+    };
+}
+export interface LLMResponse {
+    content: string | null;
+    reasoning: string | null;
+    tool_calls: LLMToolCall[];
+    finish_reason: string;
+    usage?: {
+        prompt_tokens: number;
+        completion_tokens: number;
+        total_tokens: number;
+    };
+}
+export interface LLMClient {
+    modelId: string;
+    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
+}
+export declare class VertexOpenAIClient implements LLMClient {
+    modelId: string;
+    private projectId;
+    private region;
+    private temperature;
+    constructor(modelId: string, opts?: {
+        projectId?: string;
+        region?: string;
+        temperature?: number;
+    });
+    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
+}
+export declare class GeminiClient implements LLMClient {
+    modelId: string;
+    private temperature;
+    constructor(modelId?: string, opts?: {
+        temperature?: number;
+    });
+    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
+}
+export declare class AnthropicVertexClient implements LLMClient {
+    modelId: string;
+    private projectId;
+    private region;
+    constructor(modelId: string, opts?: {
+        projectId?: string;
+        region?: string;
+    });
+    private buildClient;
+    chat(messages: LLMMessage[], tools?: LLMTool[], maxTokens?: number): Promise<LLMResponse>;
+}
+export type ModelTier = 'A' | 'B' | 'C';
+export declare function createLLM(modelOrTier: string | ModelTier, opts?: {
+    temperature?: number;
+}): LLMClient;
+export declare function toOAITools(tools: Array<{
+    name: string;
+    description: string;
+    parameters: Record<string, unknown>;
+}>): LLMTool[];