Roo-Code/src/api/providers/featherless.ts
DarinVerheijke 57ea6257dd
feat: Featherless provider (#7235)
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
Co-authored-by: cte <cestreich@gmail.com>
2025-08-20 10:42:57 -07:00

103 lines
2.9 KiB
TypeScript

import { DEEP_SEEK_DEFAULT_TEMPERATURE, type FeatherlessModelId, featherlessDefaultModelId, featherlessModels } from "@roo-code/types"
import { Anthropic } from "@anthropic-ai/sdk"
import OpenAI from "openai"
import type { ApiHandlerOptions } from "../../shared/api"
import { XmlMatcher } from "../../utils/xml-matcher"
import { convertToR1Format } from "../transform/r1-format"
import { convertToOpenAiMessages } from "../transform/openai-format"
import { ApiStream } from "../transform/stream"
import { BaseOpenAiCompatibleProvider } from "./base-openai-compatible-provider"
export class FeatherlessHandler extends BaseOpenAiCompatibleProvider<FeatherlessModelId> {
constructor(options: ApiHandlerOptions) {
super({
...options,
providerName: "Featherless",
baseURL: "https://api.featherless.ai/v1",
apiKey: options.featherlessApiKey,
defaultProviderModelId: featherlessDefaultModelId,
providerModels: featherlessModels,
defaultTemperature: 0.5,
})
}
private getCompletionParams(
systemPrompt: string,
messages: Anthropic.Messages.MessageParam[],
): OpenAI.Chat.Completions.ChatCompletionCreateParamsStreaming {
const {
id: model,
info: { maxTokens: max_tokens },
} = this.getModel()
const temperature = this.options.modelTemperature ?? this.getModel().info.temperature
return {
model,
max_tokens,
temperature,
messages: [{ role: "system", content: systemPrompt }, ...convertToOpenAiMessages(messages)],
stream: true,
stream_options: { include_usage: true },
}
}
override async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
const model = this.getModel()
if (model.id.includes("DeepSeek-R1")) {
const stream = await this.client.chat.completions.create({
...this.getCompletionParams(systemPrompt, messages),
messages: convertToR1Format([{ role: "user", content: systemPrompt }, ...messages]),
})
const matcher = new XmlMatcher(
"think",
(chunk) =>
({
type: chunk.matched ? "reasoning" : "text",
text: chunk.data,
}) as const,
)
for await (const chunk of stream) {
const delta = chunk.choices[0]?.delta
if (delta?.content) {
for (const processedChunk of matcher.update(delta.content)) {
yield processedChunk
}
}
if (chunk.usage) {
yield {
type: "usage",
inputTokens: chunk.usage.prompt_tokens || 0,
outputTokens: chunk.usage.completion_tokens || 0,
}
}
}
// Process any remaining content
for (const processedChunk of matcher.final()) {
yield processedChunk
}
} else {
yield* super.createMessage(systemPrompt, messages)
}
}
override getModel() {
const model = super.getModel()
const isDeepSeekR1 = model.id.includes("DeepSeek-R1")
return {
...model,
info: {
...model.info,
temperature: isDeepSeekR1 ? DEEP_SEEK_DEFAULT_TEMPERATURE : this.defaultTemperature,
},
}
}
}