Add a command-line cline powered by deno

cli/api/providers/openrouter.ts

@@ -0,0 +1,147 @@
+import type { ApiStream, ModelInfo, Message, TextBlock } from "../../types.d.ts";
+
+interface OpenRouterOptions {
+  model: string;
+  apiKey: string;
+}
+
+export class OpenRouterHandler {
+  private apiKey: string;
+  private model: string;
+
+  constructor(options: OpenRouterOptions) {
+    this.apiKey = options.apiKey;
+    this.model = options.model;
+  }
+
+  async *createMessage(systemPrompt: string, messages: Message[]): ApiStream {
+    try {
+      // Convert our messages to OpenRouter format
+      const openRouterMessages = [
+        { role: "system", content: systemPrompt },
+        ...messages.map(msg => ({
+          role: msg.role,
+          content: Array.isArray(msg.content)
+            ? msg.content.map(c => c.text).join("\n")
+            : msg.content
+        }))
+      ];
+
+      const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
+        method: "POST",
+        headers: {
+          "Authorization": `Bearer ${this.apiKey}`,
+          "Content-Type": "application/json",
+          "HTTP-Referer": "https://github.com/mattvr/roo-cline",
+          "X-Title": "Cline CLI"
+        },
+        body: JSON.stringify({
+          model: this.model,
+          messages: openRouterMessages,
+          stream: true,
+          temperature: 0.7,
+          max_tokens: 4096
+        })
+      });
+
+      if (!response.ok) {
+        const errorData = await response.json().catch(() => null);
+        throw new Error(`OpenRouter API error: ${response.statusText}${errorData ? ` - ${JSON.stringify(errorData)}` : ""}`);
+      }
+
+      if (!response.body) {
+        throw new Error("No response body received");
+      }
+
+      const reader = response.body.getReader();
+      const decoder = new TextDecoder();
+      let buffer = "";
+      let content = "";
+
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+
+        // Add new chunk to buffer and split into lines
+        buffer += decoder.decode(value, { stream: true });
+        const lines = buffer.split("\n");
+        
+        // Process all complete lines
+        buffer = lines.pop() || ""; // Keep the last incomplete line in buffer
+        
+        for (const line of lines) {
+          if (line.trim() === "") continue;
+          if (line === "data: [DONE]") continue;
+          
+          if (line.startsWith("data: ")) {
+            try {
+              const data = JSON.parse(line.slice(6));
+              if (data.choices?.[0]?.delta?.content) {
+                const text = data.choices[0].delta.content;
+                content += text;
+                yield { type: "text", text };
+              }
+            } catch (e) {
+              // Ignore parse errors for incomplete chunks
+              continue;
+            }
+          }
+        }
+      }
+
+      // Process any remaining content in buffer
+      if (buffer.trim() && buffer.startsWith("data: ")) {
+        try {
+          const data = JSON.parse(buffer.slice(6));
+          if (data.choices?.[0]?.delta?.content) {
+            const text = data.choices[0].delta.content;
+            content += text;
+            yield { type: "text", text };
+          }
+        } catch (e) {
+          // Ignore parse errors for final incomplete chunk
+        }
+      }
+
+      // Estimate token usage (4 chars per token is a rough estimate)
+      const inputText = systemPrompt + messages.reduce((acc, msg) => 
+        acc + (typeof msg.content === "string" ? 
+          msg.content : 
+          msg.content.reduce((a, b) => a + b.text, "")), "");
+
+      const inputTokens = Math.ceil(inputText.length / 4);
+      const outputTokens = Math.ceil(content.length / 4);
+
+      yield {
+        type: "usage",
+        inputTokens,
+        outputTokens,
+        totalCost: this.calculateCost(inputTokens, outputTokens)
+      };
+
+    } catch (error) {
+      console.error("Error in OpenRouter API call:", error);
+      throw error;
+    }
+  }
+
+  getModel(): { id: string; info: ModelInfo } {
+    return {
+      id: this.model,
+      info: {
+        contextWindow: 128000, // This varies by model
+        supportsComputerUse: true,
+        inputPricePerToken: 0.000002, // Approximate, varies by model
+        outputPricePerToken: 0.000002
+      }
+    };
+  }
+
+  private calculateCost(inputTokens: number, outputTokens: number): number {
+    const { inputPricePerToken, outputPricePerToken } = this.getModel().info;
+    return (
+      (inputTokens * (inputPricePerToken || 0)) +
+      (outputTokens * (outputPricePerToken || 0))
+    );
+  }
+}