@catgirls/openrouter
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Nyaa~! A TypeScript client for OpenRouter that's both kawaii and powerful! 😻
1 lines • 197 kB
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* Normalizes a marker to ensure it has open and close properties\n * @param marker String marker or object with open/close properties\n * @returns Object with open and close properties\n */\nexport const normalizeMarker = (\n marker: string | { open: string; close: string } | undefined,\n): { open: string; close: string } | null => {\n if (!marker) return null;\n\n if (typeof marker === \"string\") {\n return { open: marker, close: marker };\n }\n\n return marker;\n};\n","/* eslint-disable @typescript-eslint/no-explicit-any -- Allow any type for tool calls */\nimport { EventEmitter } from \"events\";\nimport { OpenRouterClient } from \"./client\";\nimport { AgentMarkers, AgentOptions, Message } from \"../types\";\nimport { RouterModel } from \"../models\";\nimport { normalizeMarker } from \"./utils\";\n\n/**\n * Agent class for performing chain-of-thought reasoning with LLMs\n */\nexport class Agent extends EventEmitter {\n private client: OpenRouterClient;\n private options: Required<AgentOptions>;\n private messages: Message[] = [];\n private normalizedMarkers: {\n thinking: { open: string; close: string } | null;\n action: { open: string; close: string } | null;\n observation: { open: string; close: string } | null;\n finalAnswer: { open: string; close: string } | null;\n };\n\n constructor(client: OpenRouterClient, options: AgentOptions = {}) {\n super();\n this.client = client;\n\n // Default markers for UI rendering\n const defaultMarkers: AgentMarkers = {\n thinking: \"<thinking>\",\n action: \"<action>\",\n observation: \"<observation>\",\n finalAnswer: \"<answer>\",\n };\n\n const markers = options.markers ?? defaultMarkers;\n\n // Normalize markers for easier handling\n this.normalizedMarkers = {\n thinking: normalizeMarker(markers.thinking),\n action: normalizeMarker(markers.action),\n observation: normalizeMarker(markers.observation),\n finalAnswer: normalizeMarker(markers.finalAnswer),\n };\n\n this.options = {\n maxIterations: options.maxIterations ?? 5,\n model: options.model ?? (\"anthropic/claude-3.7-sonnet\" as RouterModel),\n prependDefaultPrompt: options.prependDefaultPrompt ?? false,\n systemPrompt: options.prependDefaultPrompt\n ? this.getDefaultSystemPrompt(markers) + \"\\n\\n\" + options.systemPrompt\n : (options.systemPrompt ?? this.getDefaultSystemPrompt(markers)),\n tools: options.tools ?? [],\n verbose: options.verbose ?? false,\n markers: markers,\n stopCondition:\n options.stopCondition ?? this.defaultStopCondition.bind(this),\n };\n\n // Initialize with system message\n this.messages.push({\n role: \"system\",\n content: this.options.systemPrompt,\n });\n }\n\n /**\n * Default stop condition - checks if the message contains the final answer marker\n */\n private defaultStopCondition(messages: Message[]): boolean {\n const lastMessage = messages[messages.length - 1];\n const finalAnswerMarker = this.normalizedMarkers.finalAnswer;\n\n if (!finalAnswerMarker) return false;\n\n return (\n lastMessage.role === \"assistant\" &&\n typeof lastMessage.content === \"string\" &&\n lastMessage.content.includes(finalAnswerMarker.open)\n );\n }\n\n /**\n * Gets the default system prompt with markers\n */\n private getDefaultSystemPrompt(markers: AgentMarkers): string {\n const thinkingMarker = normalizeMarker(markers.thinking);\n const actionMarker = normalizeMarker(markers.action);\n const observationMarker = normalizeMarker(markers.observation);\n const finalAnswerMarker = normalizeMarker(markers.finalAnswer);\n\n return `You are a helpful assistant that solves tasks step by step.\n\n${\n thinkingMarker\n ? `When you're analyzing a problem or thinking about it, wrap your thoughts in ${thinkingMarker.open} and ${thinkingMarker.close} tags.\nExample: ${thinkingMarker.open}I need to break this problem into parts: first calculate X, then Y${thinkingMarker.close}`\n : \"\"\n}\n\n${\n actionMarker\n ? `When you decide to use a tool, wrap your reasoning in ${actionMarker.open} and ${actionMarker.close} tags.\nExample: ${actionMarker.open}I'll search for information about climate change${actionMarker.close}`\n : \"\"\n}\n\n${\n observationMarker\n ? `After getting information, wrap your observations in ${observationMarker.open} and ${observationMarker.close} tags.\nExample: ${observationMarker.open}The search revealed that global temperatures have risen by 1.1°C${observationMarker.close}`\n : \"\"\n}\n\n${\n finalAnswerMarker\n ? `When you have a final answer, wrap it in ${finalAnswerMarker.open} and ${finalAnswerMarker.close} tags.\nExample: ${finalAnswerMarker.open}Based on my analysis, the answer is 42${finalAnswerMarker.close}`\n : \"\"\n}\n\nUse ONLY these markers for structuring your responses. Only use ${finalAnswerMarker?.open} when you're completely done with the task.`;\n }\n\n /**\n * Run the agent on a query (non-streaming)\n */\n async run(query: string): Promise<string> {\n // Add the user query\n this.messages.push({ role: \"user\", content: query });\n\n let iterations = 0;\n let finalAnswer: string | null = null;\n\n while (iterations < this.options.maxIterations && finalAnswer === null) {\n iterations++;\n\n if (this.options.verbose) {\n this.emit(\"iteration\", {\n iteration: iterations,\n messages: this.messages,\n });\n }\n\n // Think: Ask the LLM\n const response = await this.client.chatCompletion({\n messages: this.messages,\n model: this.options.model,\n tools: this.formatTools(),\n });\n\n // Get the assistant's response\n const assistantMessage = response.choices[0].message as Message & {\n tool_calls?: any[];\n };\n this.messages.push(assistantMessage as Message);\n\n // Emit the response\n this.emit(\"response\", assistantMessage);\n\n // Check if the stop condition is met\n if (this.options.stopCondition(this.messages)) {\n const lastMessage = this.messages[this.messages.length - 1];\n if (typeof lastMessage.content === \"string\") {\n // Extract the final answer from within the markers\n const finalAnswerMarker = this.normalizedMarkers.finalAnswer;\n\n if (finalAnswerMarker) {\n const regex = new RegExp(\n `${this.escapeRegExp(finalAnswerMarker.open)}(.*?)${this.escapeRegExp(finalAnswerMarker.close)}`,\n \"s\",\n );\n const match = lastMessage.content.match(regex);\n\n finalAnswer = match ? match[1].trim() : lastMessage.content;\n this.emit(\"final_answer\", finalAnswer);\n } else {\n finalAnswer = lastMessage.content;\n }\n } else {\n finalAnswer = \"RECEIVED_NON_STRING_FINAL_ANSWER\";\n }\n\n break;\n }\n\n // Check if there are tool calls\n if (\n assistantMessage.tool_calls &&\n assistantMessage.tool_calls.length > 0\n ) {\n for (const toolCall of assistantMessage.tool_calls) {\n if (toolCall.type === \"function\") {\n const { name, arguments: args } = toolCall.function;\n const parsedArgs = args && args.trim() ? JSON.parse(args) : {};\n\n // Find the tool\n const tool = this.options.tools.find((t) => t.name === name);\n\n if (tool) {\n try {\n // Emit tool call event\n this.emit(\"tool_call\", { name, args: parsedArgs });\n\n // Act: Execute the tool\n const result = await tool.execute(parsedArgs);\n\n // Observe: Add the result back to messages\n this.messages.push({\n role: \"tool\",\n tool_call_id: toolCall.id,\n content: JSON.stringify(result),\n });\n\n this.emit(\"tool_result\", {\n tool: name,\n args: parsedArgs,\n result,\n });\n } catch (error) {\n // Handle tool execution error\n this.messages.push({\n role: \"tool\",\n tool_call_id: toolCall.id,\n content: JSON.stringify({ error: String(error) }),\n });\n\n // Safely parse args or use empty object if parsing fails\n let safeArgs = {};\n try {\n if (args && args.trim()) {\n safeArgs = JSON.parse(args);\n }\n } catch {\n // If JSON parsing fails, keep empty object\n }\n\n this.emit(\"tool_error\", {\n tool: name,\n args: safeArgs,\n error,\n });\n }\n }\n }\n }\n }\n }\n\n if (finalAnswer === null) {\n finalAnswer = \"MAX_ITERATIONS_REACHED_WITHOUT_FINAL_ANSWER\";\n }\n\n // Check if the last message was from a tool and no final answer was given\n const lastMessage = this.messages[this.messages.length - 1];\n const isLastMessageTool = lastMessage?.role === \"tool\";\n\n if (\n isLastMessageTool &&\n finalAnswer === \"MAX_ITERATIONS_REACHED_WITHOUT_FINAL_ANSWER\"\n ) {\n finalAnswer = \"ANSWER_AFTER_TOOL_NOT_GIVEN\";\n }\n\n this.emit(\"complete\");\n return finalAnswer;\n }\n\n /**\n * Helper method to escape special regex characters\n */\n private escapeRegExp(string: string): string {\n return string.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\");\n }\n\n /**\n * Run the agent on a query with streaming support\n */\n async runStream(query: string): Promise<EventEmitter> {\n const eventEmitter = new EventEmitter();\n\n // Add the user query\n this.messages.push({ role: \"user\", content: query });\n\n let iterations = 0;\n let isDone = false;\n let forceExtraIteration = false;\n // Track processed tool calls to avoid duplicates\n const processedToolCallIds = new Set<string>();\n\n const processIteration = async () => {\n if (iterations >= this.options.maxIterations || isDone) {\n if (iterations >= this.options.maxIterations && !isDone) {\n // We reached max iterations without a final answer\n const finalAnswerMarker = this.normalizedMarkers.finalAnswer;\n let hasFinalAnswer = false;\n\n // Check if we have already emitted a final answer\n if (\n finalAnswerMarker &&\n this.messages.length > 0 &&\n typeof this.messages[this.messages.length - 1].content === \"string\"\n ) {\n const lastContent = this.messages[this.messages.length - 1]\n .content as string;\n hasFinalAnswer = lastContent.includes(finalAnswerMarker.open);\n }\n\n if (!hasFinalAnswer) {\n eventEmitter.emit(\n \"final_answer\",\n \"MAX_ITERATIONS_REACHED_WITHOUT_FINAL_ANSWER\",\n );\n }\n }\n\n eventEmitter.emit(\"complete\");\n return;\n }\n\n iterations++;\n\n if (this.options.verbose) {\n eventEmitter.emit(\"iteration\", {\n iteration: iterations,\n messages: this.messages,\n });\n }\n\n try {\n // Think: Ask the LLM with streaming enabled\n const stream = await this.client.chatCompletion({\n messages: this.messages,\n model: this.options.model,\n tools: this.formatTools(),\n stream: true,\n });\n\n let accumulatedContent = \"\";\n let currentToolCalls: any[] = [];\n let lastMarkerType: string | null = null;\n let markerContent = \"\";\n\n // Handle streaming tokens\n stream.on(\"content\", (content: string) => {\n accumulatedContent += content;\n eventEmitter.emit(\"token\", content);\n\n // Look for markers in the accumulated content\n for (const [type, normalizedMarker] of Object.entries(\n this.normalizedMarkers,\n )) {\n if (!normalizedMarker) continue;\n const { open, close } = normalizedMarker;\n\n // Check for opening marker\n if (accumulatedContent.includes(open) && !lastMarkerType) {\n const markerIndex = accumulatedContent.lastIndexOf(open);\n if (\n markerIndex !== -1 &&\n markerIndex + open.length <= accumulatedContent.length\n ) {\n lastMarkerType = type;\n markerContent = \"\";\n\n // Emit marker start event\n eventEmitter.emit(\"marker\", {\n type,\n content: \"\",\n });\n }\n }\n\n // Check for closing marker (only if we're in a marker section)\n if (lastMarkerType === type && accumulatedContent.includes(close)) {\n const markerStartIndex = accumulatedContent.indexOf(open);\n const markerEndIndex = accumulatedContent.lastIndexOf(close);\n\n // If we have both opening and closing markers\n if (\n markerStartIndex !== -1 &&\n markerEndIndex > markerStartIndex\n ) {\n // Extract the content between markers\n markerContent = accumulatedContent.substring(\n markerStartIndex + open.length,\n markerEndIndex,\n );\n\n // Emit the complete marker content\n eventEmitter.emit(\"marker\", {\n type,\n content: markerContent,\n });\n\n lastMarkerType = null;\n markerContent = \"\";\n }\n }\n }\n });\n\n // Handle tool calls from streaming\n stream.on(\"tool_calls\", (toolCalls: any) => {\n currentToolCalls = currentToolCalls.concat(toolCalls);\n // Emit the stream_tool_calls event for UI updates\n eventEmitter.emit(\"stream_tool_calls\", toolCalls);\n });\n\n // Handle errors during streaming\n stream.on(\"error\", (error: Error) => {\n eventEmitter.emit(\"error\", error);\n\n // Emit a synthetic final answer when an error occurs\n if (!isDone) {\n const finalAnswerMarker = this.normalizedMarkers.finalAnswer;\n let hasFinalAnswer = false;\n\n // Check if we have already emitted a final answer\n if (\n finalAnswerMarker &&\n this.messages.length > 0 &&\n typeof this.messages[this.messages.length - 1].content ===\n \"string\"\n ) {\n const lastContent = this.messages[this.messages.length - 1]\n .content as string;\n hasFinalAnswer = lastContent.includes(finalAnswerMarker.open);\n }\n\n if (!hasFinalAnswer) {\n eventEmitter.emit(\n \"final_answer\",\n \"Encountered an error while processing the request.\",\n );\n }\n\n eventEmitter.emit(\"complete\");\n }\n\n isDone = true;\n });\n\n // When streaming is complete\n stream.on(\"done\", async () => {\n // Create the assistant message\n const assistantMessage: Message = {\n role: \"assistant\",\n content: accumulatedContent,\n };\n\n // If we have tool calls, add them to the message\n if (currentToolCalls.length > 0) {\n (assistantMessage as any).tool_calls = currentToolCalls;\n }\n\n this.messages.push(assistantMessage);\n eventEmitter.emit(\"response\", assistantMessage);\n\n // Check if the stop condition is met\n if (this.options.stopCondition(this.messages)) {\n isDone = true;\n\n // Extract final answer if present\n const finalAnswerMarker = this.normalizedMarkers.finalAnswer;\n if (\n finalAnswerMarker &&\n typeof assistantMessage.content === \"string\"\n ) {\n const regex = new RegExp(\n `${this.escapeRegExp(finalAnswerMarker.open)}(.*?)${this.escapeRegExp(finalAnswerMarker.close)}`,\n \"s\",\n );\n const match = assistantMessage.content.match(regex);\n\n const finalAnswer = match\n ? match[1].trim()\n : assistantMessage.content;\n eventEmitter.emit(\"final_answer\", finalAnswer);\n }\n\n eventEmitter.emit(\"complete\");\n return;\n }\n\n // Process tool calls if any\n if (currentToolCalls.length > 0) {\n for (const toolCall of currentToolCalls) {\n if (toolCall.type === \"function\") {\n const {\n id,\n function: { name, arguments: args },\n } = toolCall;\n\n // Skip if we've already processed this tool call\n if (processedToolCallIds.has(id)) continue;\n processedToolCallIds.add(id);\n\n try {\n const parsedArgs =\n args && args.trim() ? JSON.parse(args) : {};\n\n // Find the tool\n const tool = this.options.tools.find((t) => t.name === name);\n\n if (tool) {\n // Emit tool_call event for each executed tool\n eventEmitter.emit(\"tool_call\", { name, args: parsedArgs });\n\n // Act: Execute the tool\n const result = await tool.execute(parsedArgs);\n\n // Observe: Add the result back to messages\n this.messages.push({\n role: \"tool\",\n tool_call_id: id,\n content: JSON.stringify(result),\n });\n\n eventEmitter.emit(\"tool_result\", {\n tool: name,\n args: parsedArgs,\n result,\n });\n }\n } catch (error) {\n // Handle tool execution error\n this.messages.push({\n role: \"tool\",\n tool_call_id: id,\n content: JSON.stringify({ error: String(error) }),\n });\n\n // Safely parse args or use empty object if parsing fails\n let safeArgs = {};\n try {\n if (args && args.trim()) {\n safeArgs = JSON.parse(args);\n }\n } catch {\n // If JSON parsing fails, keep empty object\n }\n\n eventEmitter.emit(\"tool_error\", {\n tool: name,\n args: safeArgs,\n error,\n });\n\n // Set the force extra iteration flag to ensure one more pass\n // even when a tool errors out\n forceExtraIteration = true;\n }\n }\n }\n\n // Reset for next iteration\n currentToolCalls = [];\n\n forceExtraIteration = true; // Always do one more iteration after tool calls\n // Continue with next iteration\n setTimeout(processIteration, 0);\n } else {\n // No tool calls, check if we need to continue\n if (!isDone && forceExtraIteration) {\n forceExtraIteration = false;\n setTimeout(processIteration, 0);\n } else if (!isDone) {\n // Before we complete, check if we've emitted a final answer\n let hasFinalAnswer = false;\n\n // Check last message for final answer marker\n const finalAnswerMarker = this.normalizedMarkers.finalAnswer;\n if (\n finalAnswerMarker &&\n this.messages.length > 0 &&\n typeof this.messages[this.messages.length - 1].content ===\n \"string\"\n ) {\n const lastContent = this.messages[this.messages.length - 1]\n .content as string;\n hasFinalAnswer = lastContent.includes(finalAnswerMarker.open);\n }\n\n // Check if any tool calls were made during the conversation\n const hasToolMessages = this.messages.some(\n (msg) => msg.role === \"tool\",\n );\n\n // If no final answer found after last iteration, emit a synthetic one\n if (!hasFinalAnswer && !isDone) {\n if (hasToolMessages) {\n // Only emit this specific message if tools were actually used\n eventEmitter.emit(\n \"final_answer\",\n \"ANSWER_AFTER_TOOL_NOT_GIVEN\",\n );\n } else {\n // Otherwise emit a more generic message\n eventEmitter.emit(\n \"final_answer\",\n \"MAX_ITERATIONS_REACHED_WITHOUT_FINAL_ANSWER\",\n );\n }\n }\n\n isDone = true;\n eventEmitter.emit(\"complete\");\n }\n }\n });\n } catch (error) {\n eventEmitter.emit(\"error\", error);\n isDone = true;\n }\n };\n\n // Start the first iteration\n processIteration();\n\n return eventEmitter;\n }\n\n /**\n * Format tools for the LLM API\n */\n private formatTools(): any[] {\n return this.options.tools.map((tool) => ({\n type: \"function\",\n function: {\n name: tool.name,\n description: tool.description,\n parameters: tool.parameters,\n },\n }));\n }\n}\n","import { AxiosError } from \"axios\";\n\nexport interface ErrorResponse {\n error: {\n code: number;\n message: string;\n metadata?: ModerationErrorMetadata | ProviderErrorMetadata;\n };\n}\n\ninterface ModerationErrorMetadata {\n reasons: string[];\n flagged_input: string;\n provider_name: string;\n model_slug: string;\n}\n\ninterface ProviderErrorMetadata {\n provider_name: string;\n raw: unknown;\n}\n\nexport class OpenRouterErrorAdapter {\n private static readonly ERROR_MESSAGES = {\n 400: \"Bad Request: Invalid or missing parameters, or CORS issue\",\n 401: \"Invalid credentials: OAuth session expired or disabled/invalid API key\",\n 402: \"Insufficient credits: Add more credits and retry the request\",\n 403: \"Content moderation: Your input was flagged\",\n 408: \"Request timeout: Your request took too long to process\",\n 429: \"Rate limited: You are sending too many requests\",\n 502: \"Provider error: Model is down or invalid response received\",\n 503: \"No provider: No available model provider meets your routing requirements\",\n } as const;\n\n static handleError(error: unknown): never {\n if (this.isAxiosError(error)) {\n throw this.handleAxiosError(error);\n }\n\n throw new Error(\n `Unexpected error: ${error instanceof Error ? error.message : String(error)}`,\n );\n }\n\n private static isAxiosError(\n error: unknown,\n ): error is AxiosError<ErrorResponse> {\n return error instanceof Error && \"isAxiosError\" in error;\n }\n\n private static handleAxiosError(error: AxiosError<ErrorResponse>): Error {\n if (error.response) {\n const { status, data } = error.response;\n\n if (this.isOpenRouterError(data)) {\n return this.createDetailedError(data.error);\n }\n\n return new Error(\n `HTTP ${status}: ${this.ERROR_MESSAGES[status as keyof typeof this.ERROR_MESSAGES] || \"Unknown error\"}`,\n );\n }\n\n if (error.request) {\n return new Error(\"No response received from OpenRouter API\");\n }\n\n return new Error(`Failed to make request: ${error.message}`);\n }\n\n private static isOpenRouterError(data: unknown): data is ErrorResponse {\n return (\n typeof data === \"object\" &&\n data !== null &&\n \"error\" in data &&\n typeof (data as ErrorResponse).error.code === \"number\" &&\n typeof (data as ErrorResponse).error.message === \"string\"\n );\n }\n\n private static createDetailedError({\n code,\n message,\n metadata,\n }: ErrorResponse[\"error\"]): Error {\n const baseMessage = `${this.ERROR_MESSAGES[code as keyof typeof this.ERROR_MESSAGES] || \"Unknown error\"}: ${message}`;\n\n if (!metadata) {\n return new Error(baseMessage);\n }\n\n if (this.isModerationError(metadata)) {\n return new Error(\n `${baseMessage}\\nFlagged by ${metadata.provider_name} for: ${metadata.reasons.join(\", \")}\\n` +\n `Flagged content: \"${metadata.flagged_input}\"`,\n );\n }\n\n if (this.isProviderError(metadata)) {\n return new Error(\n `${baseMessage}\\nProvider ${metadata.provider_name} error: ${JSON.stringify(metadata.raw)}`,\n );\n }\n\n return new Error(baseMessage);\n }\n\n private static isModerationError(\n metadata: unknown,\n ): metadata is ModerationErrorMetadata {\n return (\n typeof metadata === \"object\" &&\n metadata !== null &&\n \"reasons\" in metadata &&\n \"flagged_input\" in metadata &&\n \"provider_name\" in metadata &&\n \"model_slug\" in metadata\n );\n }\n\n private static isProviderError(\n metadata: unknown,\n ): metadata is ProviderErrorMetadata {\n return (\n typeof metadata === \"object\" &&\n metadata !== null &&\n \"provider_name\" in metadata &&\n \"raw\" in metadata\n );\n }\n}\n","/* eslint-disable @typescript-eslint/no-explicit-any */\nimport axios, { AxiosInstance } from \"axios\";\nimport { IHttpClient } from \"../types\";\n\nexport class HttpClient implements IHttpClient {\n private client: AxiosInstance;\n\n constructor(baseURL: string, headers: Record<string, string>) {\n this.client = axios.create({\n baseURL,\n headers,\n });\n }\n\n async post(url: string, data: any, config?: any) {\n return this.client.post(url, data, config);\n }\n\n async get(url: string) {\n return this.client.get(url);\n }\n}\n","import { EventEmitter } from \"events\";\nimport type * as Event from \"events\";\nimport { IStreamHandler } from \"../types\";\nimport { OpenRouterErrorAdapter } from \"./error-adapter\";\n\nexport class StreamHandler implements IStreamHandler {\n handleStream(stream: Event): EventEmitter {\n const eventEmitter = new EventEmitter();\n let buffer = \"\";\n\n stream.on(\"data\", (chunk: Buffer) => {\n buffer += chunk.toString();\n const lines = buffer.split(\"\\n\");\n buffer = lines.pop() || \"\";\n\n for (const line of lines) {\n if (line.trim() === \"\" || line.startsWith(\":\")) {\n // Handle SSE comments (OpenRouter processing messages)\n if (line.includes(\"OPENROUTER PROCESSING\")) {\n eventEmitter.emit(\"processing\");\n }\n continue;\n }\n\n try {\n const message = line.replace(/^data: /, \"\");\n if (message === \"[DONE]\") {\n eventEmitter.emit(\"done\");\n continue;\n }\n\n const parsed = JSON.parse(message);\n\n // Emit the full chunk for raw access\n eventEmitter.emit(\"chunk\", parsed);\n\n // Handle the standardized response format\n if (parsed.choices?.[0]) {\n const choice = parsed.choices[0];\n\n // For streaming responses, we'll get delta updates\n if (choice.delta) {\n // Extract the delta components\n const { content, role, tool_calls } = choice.delta;\n\n // Emit specific events for different delta types\n if (content) {\n // Emit both for backwards compatibility\n eventEmitter.emit(\"token\", content);\n eventEmitter.emit(\"content\", content);\n }\n if (role) {\n eventEmitter.emit(\"role\", role);\n }\n if (tool_calls) {\n eventEmitter.emit(\"tool_calls\", tool_calls);\n }\n }\n\n // Handle finish reason if present\n if (choice.finish_reason) {\n eventEmitter.emit(\"finish\", choice.finish_reason);\n }\n }\n\n // Handle usage statistics in the final message\n if (parsed.usage) {\n eventEmitter.emit(\"us