Roo-Code/src/api/providers/openrouter.ts

311 lines
10 KiB
TypeScript

import { Anthropic } from "@anthropic-ai/sdk"
import { BetaThinkingConfigParam } from "@anthropic-ai/sdk/resources/beta"
import axios from "axios"
import OpenAI from "openai"
import delay from "delay"
import { ApiHandlerOptions, ModelInfo, openRouterDefaultModelId, openRouterDefaultModelInfo } from "../../shared/api"
import { parseApiPrice } from "../../utils/cost"
import { convertToOpenAiMessages } from "../transform/openai-format"
import { ApiStreamChunk, ApiStreamUsageChunk } from "../transform/stream"
import { convertToR1Format } from "../transform/r1-format"
import { DEEP_SEEK_DEFAULT_TEMPERATURE } from "./constants"
import { getModelParams, SingleCompletionHandler } from ".."
import { BaseProvider } from "./base-provider"
// Add custom interface for OpenRouter params.
type OpenRouterChatCompletionParams = OpenAI.Chat.ChatCompletionCreateParams & {
transforms?: string[]
include_reasoning?: boolean
thinking?: BetaThinkingConfigParam
}
// Add custom interface for OpenRouter usage chunk.
interface OpenRouterApiStreamUsageChunk extends ApiStreamUsageChunk {
fullResponseText: string
}
export class OpenRouterHandler extends BaseProvider implements SingleCompletionHandler {
protected options: ApiHandlerOptions
private client: OpenAI
constructor(options: ApiHandlerOptions) {
super()
this.options = options
const baseURL = this.options.openRouterBaseUrl || "https://openrouter.ai/api/v1"
const apiKey = this.options.openRouterApiKey ?? "not-provided"
const defaultHeaders = {
"HTTP-Referer": "https://github.com/RooVetGit/Roo-Cline",
"X-Title": "Roo Code",
}
this.client = new OpenAI({ baseURL, apiKey, defaultHeaders })
}
override async *createMessage(
systemPrompt: string,
messages: Anthropic.Messages.MessageParam[],
): AsyncGenerator<ApiStreamChunk> {
let { id: modelId, maxTokens, thinking, temperature, topP } = this.getModel()
// Convert Anthropic messages to OpenAI format.
let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
{ role: "system", content: systemPrompt },
...convertToOpenAiMessages(messages),
]
// DeepSeek highly recommends using user instead of system role.
if (modelId.startsWith("deepseek/deepseek-r1") || modelId === "perplexity/sonar-reasoning") {
openAiMessages = convertToR1Format([{ role: "user", content: systemPrompt }, ...messages])
}
// prompt caching: https://openrouter.ai/docs/prompt-caching
// this is specifically for claude models (some models may 'support prompt caching' automatically without this)
switch (true) {
case modelId.startsWith("anthropic/"):
openAiMessages[0] = {
role: "system",
content: [
{
type: "text",
text: systemPrompt,
// @ts-ignore-next-line
cache_control: { type: "ephemeral" },
},
],
}
// Add cache_control to the last two user messages
// (note: this works because we only ever add one user message at a time, but if we added multiple we'd need to mark the user message before the last assistant message)
const lastTwoUserMessages = openAiMessages.filter((msg) => msg.role === "user").slice(-2)
lastTwoUserMessages.forEach((msg) => {
if (typeof msg.content === "string") {
msg.content = [{ type: "text", text: msg.content }]
}
if (Array.isArray(msg.content)) {
// NOTE: this is fine since env details will always be added at the end. but if it weren't there, and the user added a image_url type message, it would pop a text part before it and then move it after to the end.
let lastTextPart = msg.content.filter((part) => part.type === "text").pop()
if (!lastTextPart) {
lastTextPart = { type: "text", text: "..." }
msg.content.push(lastTextPart)
}
// @ts-ignore-next-line
lastTextPart["cache_control"] = { type: "ephemeral" }
}
})
break
default:
break
}
// https://openrouter.ai/docs/transforms
let fullResponseText = ""
const completionParams: OpenRouterChatCompletionParams = {
model: modelId,
max_tokens: maxTokens,
temperature,
thinking, // OpenRouter is temporarily supporting this.
top_p: topP,
messages: openAiMessages,
stream: true,
include_reasoning: true,
// This way, the transforms field will only be included in the parameters when openRouterUseMiddleOutTransform is true.
...(this.options.openRouterUseMiddleOutTransform && { transforms: ["middle-out"] }),
}
const stream = await this.client.chat.completions.create(completionParams)
let genId: string | undefined
for await (const chunk of stream as unknown as AsyncIterable<OpenAI.Chat.Completions.ChatCompletionChunk>) {
// OpenRouter returns an error object instead of the OpenAI SDK throwing an error.
if ("error" in chunk) {
const error = chunk.error as { message?: string; code?: number }
console.error(`OpenRouter API Error: ${error?.code} - ${error?.message}`)
throw new Error(`OpenRouter API Error ${error?.code}: ${error?.message}`)
}
if (!genId && chunk.id) {
genId = chunk.id
}
const delta = chunk.choices[0]?.delta
if ("reasoning" in delta && delta.reasoning) {
yield {
type: "reasoning",
text: delta.reasoning,
} as ApiStreamChunk
}
if (delta?.content) {
fullResponseText += delta.content
yield {
type: "text",
text: delta.content,
} as ApiStreamChunk
}
// if (chunk.usage) {
// yield {
// type: "usage",
// inputTokens: chunk.usage.prompt_tokens || 0,
// outputTokens: chunk.usage.completion_tokens || 0,
// }
// }
}
// Retry fetching generation details.
let attempt = 0
while (attempt++ < 10) {
await delay(200) // FIXME: necessary delay to ensure generation endpoint is ready
try {
const response = await axios.get(`https://openrouter.ai/api/v1/generation?id=${genId}`, {
headers: {
Authorization: `Bearer ${this.options.openRouterApiKey}`,
},
timeout: 5_000, // this request hangs sometimes
})
const generation = response.data?.data
yield {
type: "usage",
// cacheWriteTokens: 0,
// cacheReadTokens: 0,
// openrouter generation endpoint fails often
inputTokens: generation?.native_tokens_prompt || 0,
outputTokens: generation?.native_tokens_completion || 0,
totalCost: generation?.total_cost || 0,
fullResponseText,
} as OpenRouterApiStreamUsageChunk
return
} catch (error) {
// ignore if fails
console.error("Error fetching OpenRouter generation details:", error)
}
}
}
override getModel() {
const modelId = this.options.openRouterModelId
const modelInfo = this.options.openRouterModelInfo
let id = modelId ?? openRouterDefaultModelId
const info = modelInfo ?? openRouterDefaultModelInfo
const isDeepSeekR1 = id.startsWith("deepseek/deepseek-r1") || modelId === "perplexity/sonar-reasoning"
const defaultTemperature = isDeepSeekR1 ? DEEP_SEEK_DEFAULT_TEMPERATURE : 0
const topP = isDeepSeekR1 ? 0.95 : undefined
return {
id,
info,
...getModelParams({ options: this.options, model: info, defaultTemperature }),
topP,
}
}
async completePrompt(prompt: string) {
let { id: modelId, maxTokens, thinking, temperature } = this.getModel()
const completionParams: OpenRouterChatCompletionParams = {
model: modelId,
max_tokens: maxTokens,
thinking,
temperature,
messages: [{ role: "user", content: prompt }],
stream: false,
}
const response = await this.client.chat.completions.create(completionParams)
if ("error" in response) {
const error = response.error as { message?: string; code?: number }
throw new Error(`OpenRouter API Error ${error?.code}: ${error?.message}`)
}
const completion = response as OpenAI.Chat.ChatCompletion
return completion.choices[0]?.message?.content || ""
}
}
export async function getOpenRouterModels() {
const models: Record<string, ModelInfo> = {}
try {
const response = await axios.get("https://openrouter.ai/api/v1/models")
const rawModels = response.data.data
for (const rawModel of rawModels) {
const modelInfo: ModelInfo = {
maxTokens: rawModel.top_provider?.max_completion_tokens,
contextWindow: rawModel.context_length,
supportsImages: rawModel.architecture?.modality?.includes("image"),
supportsPromptCache: false,
inputPrice: parseApiPrice(rawModel.pricing?.prompt),
outputPrice: parseApiPrice(rawModel.pricing?.completion),
description: rawModel.description,
thinking: rawModel.id === "anthropic/claude-3.7-sonnet:thinking",
}
// NOTE: this needs to be synced with api.ts/openrouter default model info.
switch (true) {
case rawModel.id.startsWith("anthropic/claude-3.7-sonnet"):
modelInfo.supportsComputerUse = true
modelInfo.supportsPromptCache = true
modelInfo.cacheWritesPrice = 3.75
modelInfo.cacheReadsPrice = 0.3
modelInfo.maxTokens = rawModel.id === "anthropic/claude-3.7-sonnet:thinking" ? 64_000 : 16_384
break
case rawModel.id.startsWith("anthropic/claude-3.5-sonnet-20240620"):
modelInfo.supportsPromptCache = true
modelInfo.cacheWritesPrice = 3.75
modelInfo.cacheReadsPrice = 0.3
modelInfo.maxTokens = 8192
break
case rawModel.id.startsWith("anthropic/claude-3.5-sonnet"):
modelInfo.supportsComputerUse = true
modelInfo.supportsPromptCache = true
modelInfo.cacheWritesPrice = 3.75
modelInfo.cacheReadsPrice = 0.3
modelInfo.maxTokens = 8192
break
case rawModel.id.startsWith("anthropic/claude-3-5-haiku"):
modelInfo.supportsPromptCache = true
modelInfo.cacheWritesPrice = 1.25
modelInfo.cacheReadsPrice = 0.1
modelInfo.maxTokens = 8192
break
case rawModel.id.startsWith("anthropic/claude-3-opus"):
modelInfo.supportsPromptCache = true
modelInfo.cacheWritesPrice = 18.75
modelInfo.cacheReadsPrice = 1.5
modelInfo.maxTokens = 8192
break
case rawModel.id.startsWith("anthropic/claude-3-haiku"):
default:
modelInfo.supportsPromptCache = true
modelInfo.cacheWritesPrice = 0.3
modelInfo.cacheReadsPrice = 0.03
modelInfo.maxTokens = 8192
break
}
models[rawModel.id] = modelInfo
}
} catch (error) {
console.error(
`Error fetching OpenRouter models: ${JSON.stringify(error, Object.getOwnPropertyNames(error), 2)}`,
)
}
return models
}