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https://github.com/getcompanion-ai/co-mono.git
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refactor(ai): Simplify Google provider with cleaner block handling
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commit
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1 changed files with 93 additions and 96 deletions
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@ -16,6 +16,8 @@ import type {
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Message,
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Model,
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StopReason,
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TextContent,
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ThinkingContent,
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Tool,
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ToolCall,
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Usage,
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@ -96,10 +98,8 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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const stream = await this.client.models.generateContentStream(params);
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let content = "";
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let thinking = "";
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let thoughtSignature: string | undefined;
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const toolCalls: ToolCall[] = [];
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const blocks: AssistantMessage["content"] = [];
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let currentBlock: TextContent | ThinkingContent | null = null;
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let usage: Usage = {
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input: 0,
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output: 0,
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@ -108,8 +108,6 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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};
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let stopReason: StopReason = "stop";
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let inTextBlock = false;
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let inThinkingBlock = false;
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// Process the stream
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for await (const chunk of stream) {
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@ -117,52 +115,69 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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const candidate = chunk.candidates?.[0];
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if (candidate?.content?.parts) {
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for (const part of candidate.content.parts) {
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// Cast to any to access thinking properties not yet in SDK types
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const partWithThinking = part;
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if (partWithThinking.text !== undefined) {
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// Check if it's thinking content using the thought boolean flag
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if (partWithThinking.thought === true) {
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if (inTextBlock) {
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options?.onText?.("", true);
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inTextBlock = false;
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if (part.text !== undefined) {
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const isThinking = part.thought === true;
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// Check if we need to switch blocks
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if (
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!currentBlock ||
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(isThinking && currentBlock.type !== "thinking") ||
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(!isThinking && currentBlock.type !== "text")
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) {
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// Save and finalize current block
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if (currentBlock) {
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if (currentBlock.type === "text") {
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options?.onEvent?.({ type: "text_end", content: currentBlock.text });
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} else {
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options?.onEvent?.({ type: "thinking_end", content: currentBlock.thinking });
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}
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blocks.push(currentBlock);
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}
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thinking += partWithThinking.text;
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options?.onThinking?.(partWithThinking.text, false);
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inThinkingBlock = true;
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// Capture thought signature if present
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if (partWithThinking.thoughtSignature) {
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thoughtSignature = partWithThinking.thoughtSignature;
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// Start new block
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if (isThinking) {
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currentBlock = { type: "thinking", thinking: "", thinkingSignature: undefined };
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options?.onEvent?.({ type: "thinking_start" });
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} else {
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currentBlock = { type: "text", text: "" };
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options?.onEvent?.({ type: "text_start" });
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}
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}
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// Append content to current block
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if (currentBlock.type === "thinking") {
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currentBlock.thinking += part.text;
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currentBlock.thinkingSignature = part.thoughtSignature;
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options?.onEvent?.({type: "thinking_delta", content: currentBlock.thinking, delta: part.text });
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} else {
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if (inThinkingBlock) {
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options?.onThinking?.("", true);
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inThinkingBlock = false;
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}
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content += partWithThinking.text;
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options?.onText?.(partWithThinking.text, false);
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inTextBlock = true;
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currentBlock.text += part.text;
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options?.onEvent?.({ type: "text_delta", content: currentBlock.text, delta: part.text });
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}
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}
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// Handle function calls
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if (part.functionCall) {
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if (inTextBlock) {
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options?.onText?.("", true);
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inTextBlock = false;
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}
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if (inThinkingBlock) {
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options?.onThinking?.("", true);
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inThinkingBlock = false;
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// Save current block if exists
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if (currentBlock) {
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if (currentBlock.type === "text") {
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options?.onEvent?.({ type: "text_end", content: currentBlock.text });
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} else {
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options?.onEvent?.({ type: "thinking_end", content: currentBlock.thinking });
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}
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blocks.push(currentBlock);
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currentBlock = null;
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}
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// Gemini doesn't provide tool call IDs, so we need to generate them
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// Use the function name as part of the ID for better debugging
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const toolCallId = `${part.functionCall.name}_${Date.now()}`;
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toolCalls.push({
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// Add tool call
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const toolCallId = part.functionCall.id || `${part.functionCall.name}_${Date.now()}`;
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const toolCall: ToolCall = {
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type: "toolCall",
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id: toolCallId,
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name: part.functionCall.name || "",
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arguments: part.functionCall.args as Record<string, any>,
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});
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};
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blocks.push(toolCall);
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options?.onEvent?.({ type: "toolCall", toolCall });
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}
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}
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}
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@ -170,7 +185,8 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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// Map finish reason
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if (candidate?.finishReason) {
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stopReason = this.mapStopReason(candidate.finishReason);
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if (toolCalls.length > 0) {
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// Check if we have tool calls in blocks
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if (blocks.some((b) => b.type === "toolCall")) {
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stopReason = "toolUse";
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}
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}
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@ -194,46 +210,32 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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}
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}
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// Signal end of blocks
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if (inTextBlock) {
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options?.onText?.("", true);
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}
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if (inThinkingBlock) {
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options?.onThinking?.("", true);
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// Save final block if exists
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if (currentBlock) {
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if (currentBlock.type === "text") {
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options?.onEvent?.({ type: "text_end", content: currentBlock.text });
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} else {
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options?.onEvent?.({ type: "thinking_end", content: currentBlock.thinking });
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}
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blocks.push(currentBlock);
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}
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// Generate a thinking signature if we have thinking content but no signature from API
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// This is needed for proper multi-turn conversations with thinking
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if (thinking && !thoughtSignature) {
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// Create a base64-encoded signature as Gemini expects
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// In production, Gemini API should provide this
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const encoder = new TextEncoder();
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const data = encoder.encode(thinking);
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// Create a simple hash-like signature and encode to base64
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const signature = `gemini_thinking_${data.length}_${Date.now()}`;
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thoughtSignature = Buffer.from(signature).toString("base64");
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}
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// Calculate cost
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calculateCost(this.model, usage);
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// Usage metadata is in the last chunk
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// Already captured during streaming
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return {
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const output = {
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role: "assistant",
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content: content || undefined,
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thinking: thinking || undefined,
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thinkingSignature: thoughtSignature,
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toolCalls: toolCalls.length > 0 ? toolCalls : undefined,
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content: blocks,
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provider: this.model.provider,
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model: this.model.id,
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usage,
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stopReason,
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};
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} satisfies AssistantMessage;
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options?.onEvent?.({ type: "done", reason: stopReason, message: output });
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return output;
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} catch (error) {
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return {
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const output = {
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role: "assistant",
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content: [],
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provider: this.model.provider,
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model: this.model.id,
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usage: {
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@ -244,8 +246,10 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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},
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stopReason: "error",
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error: error instanceof Error ? error.message : String(error),
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};
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error: error instanceof Error ? error.message : JSON.stringify(error),
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} satisfies AssistantMessage;
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options?.onEvent?.({ type: "error", error: output.error });
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return output;
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}
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}
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@ -283,28 +287,23 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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} else if (msg.role === "assistant") {
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const parts: Part[] = [];
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// Add thinking if present
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// Note: We include thinkingSignature in our response for multi-turn context,
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// but don't send it back to Gemini API as it may cause errors
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if (msg.thinking) {
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parts.push({
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text: msg.thinking,
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thought: true,
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// Don't include thoughtSignature when sending back to API
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// thoughtSignature: msg.thinkingSignature,
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});
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}
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if (msg.content) {
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parts.push({ text: msg.content });
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}
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if (msg.toolCalls) {
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for (const toolCall of msg.toolCalls) {
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// Process content blocks
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for (const block of msg.content) {
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if (block.type === "text") {
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parts.push({ text: block.text });
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} else if (block.type === "thinking") {
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const thinkingPart: Part = {
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thought: true,
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thoughtSignature: block.thinkingSignature,
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text: block.thinking,
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};
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parts.push(thinkingPart);
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} else if (block.type === "toolCall") {
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parts.push({
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functionCall: {
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name: toolCall.name,
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args: toolCall.arguments,
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id: block.id,
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name: block.name,
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args: block.arguments,
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},
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});
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}
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@ -317,18 +316,16 @@ export class GoogleLLM implements LLM<GoogleLLMOptions> {
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});
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}
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} else if (msg.role === "toolResult") {
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// Tool results are sent as function responses
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// Extract function name from the tool call ID (format: "functionName_timestamp")
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const functionName = msg.toolCallId.substring(0, msg.toolCallId.lastIndexOf("_"));
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contents.push({
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role: "user",
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parts: [
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{
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functionResponse: {
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name: functionName,
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id: msg.toolCallId,
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name: msg.toolName,
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response: {
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result: msg.content,
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isError: msg.isError || false,
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isError: msg.isError,
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},
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},
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},
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