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Fix chutes model fetching (#9854)
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1 changed files with 33 additions and 26 deletions
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@ -1,19 +1,19 @@
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import axios from "axios"
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import { z } from "zod"
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import { type ModelInfo, TOOL_PROTOCOL, chutesModels } from "@roo-code/types"
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import { type ModelInfo, chutesModels } from "@roo-code/types"
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import { DEFAULT_HEADERS } from "../constants"
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// Chutes models endpoint follows OpenAI /models shape with additional fields
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// Chutes models endpoint follows OpenAI /models shape with additional fields.
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const ChutesModelSchema = z.object({
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id: z.string(),
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object: z.literal("model").optional(),
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owned_by: z.string().optional(),
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created: z.number().optional(),
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context_length: z.number(),
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context_length: z.number().optional(),
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max_model_len: z.number(),
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input_modalities: z.array(z.string()),
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input_modalities: z.array(z.string()).optional(),
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supported_features: z.array(z.string()).optional(),
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})
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@ -21,42 +21,49 @@ const ChutesModelsResponseSchema = z.object({ data: z.array(ChutesModelSchema) }
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export async function getChutesModels(apiKey?: string): Promise<Record<string, ModelInfo>> {
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const headers: Record<string, string> = { ...DEFAULT_HEADERS }
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if (apiKey) headers["Authorization"] = `Bearer ${apiKey}`
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if (apiKey) {
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headers["Authorization"] = `Bearer ${apiKey}`
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}
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const url = "https://llm.chutes.ai/v1/models"
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// Start with hardcoded models as the base
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// Start with hardcoded models as the base.
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const models: Record<string, ModelInfo> = { ...chutesModels }
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try {
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const response = await axios.get(url, { headers })
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const parsed = ChutesModelsResponseSchema.safeParse(response.data)
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const data = parsed.success ? parsed.data.data : response.data?.data || []
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for (const m of data as Array<z.infer<typeof ChutesModelSchema>>) {
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// Extract from API response (all fields are required)
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const contextWindow = m.context_length
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const maxTokens = m.max_model_len
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const supportsImages = m.input_modalities.includes("image")
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const supportsNativeTools = m.supported_features?.includes("tools") ?? false
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if (parsed.success) {
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for (const m of parsed.data.data) {
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const contextWindow = m.context_length
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const info: ModelInfo = {
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maxTokens,
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contextWindow,
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supportsImages,
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supportsPromptCache: false,
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supportsNativeTools,
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inputPrice: 0,
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outputPrice: 0,
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description: `Chutes AI model: ${m.id}`,
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if (!contextWindow) {
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console.error(`Context length is required for Chutes model: ${m.id}`)
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continue
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}
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const info: ModelInfo = {
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maxTokens: m.max_model_len,
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contextWindow,
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supportsImages: (m.input_modalities || []).includes("image"),
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supportsPromptCache: false,
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supportsNativeTools: (m.supported_features || []).includes("tools"),
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inputPrice: 0,
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outputPrice: 0,
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description: `Chutes AI model: ${m.id}`,
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}
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// Union: dynamic models override hardcoded ones if they have the same ID.
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models[m.id] = info
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}
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// Union: dynamic models override hardcoded ones if they have the same ID
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models[m.id] = info
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} else {
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console.error(`Error parsing Chutes models: ${JSON.stringify(parsed.error.format(), null, 2)}`)
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}
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} catch (error) {
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console.error(`Error fetching Chutes models: ${error instanceof Error ? error.message : String(error)}`)
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// On error, still return hardcoded models
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// On error, still return hardcoded models.
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}
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return models
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