get opencode free models

packages/backend/src/index.ts

@@ -4,6 +4,7 @@ import { testDB } from "./db/client";
 import { cleanupExpiredSessions } from "./db/queries";
 import { withAuthedLogging, withLogging } from "./logger";
 import { routes } from "./routes";
+import { initializeFreeModelsCache } from "./routes/ai/opencode";
 
 const DEV = process.argv.find((arg) => ["--dev", "--developer", "-d"].includes(arg.toLowerCase())) != null;
 const PORT = process.argv.find((arg) => arg.toLowerCase().startsWith("--port="))?.split("=")[1] || 0;
@@ -121,6 +122,7 @@ const main = async () => {
 
     console.log(`tnirps (sprint server) listening on ${server.url}`);
     await testDB();
+    await initializeFreeModelsCache();
     startSessionCleanup();
 };
 

packages/backend/src/routes/ai/opencode.ts

@@ -5,16 +5,183 @@ export type AIResponse = {
     raw: string;
 };
 
-export const callAI = async (prompt: string): Promise<AIResponse> => {
+export interface OpencodeModel {
-    const models = [
+    id: string;
-        "opencode/glm-4.7-free",
+    providerID: string;
-        "opencode/kimi-k2.5-free",
+    name: string;
-        "opencode/minimax-m2.1-free",
+    family: string;
-        "opencode/trinity-large-preview-free",
+    api: {
-    ];
+        id: string;
-    const model = models[3]!;
+        url: string;
+        npm: string;
+    };
+    status: string;
+    headers: Record<string, string>;
+    options: Record<string, unknown>;
+    cost: {
+        input: number;
+        output: number;
+        cache: {
+            read: number;
+            write: number;
+        };
+    };
+    limit: {
+        context: number;
+        output: number;
+        input?: number;
+    };
+    capabilities: {
+        temperature: boolean;
+        reasoning: boolean;
+        attachment: boolean;
+        toolcall: boolean;
+        input: {
+            text: boolean;
+            audio: boolean;
+            image: boolean;
+            video: boolean;
+            pdf: boolean;
+        };
+        output: {
+            text: boolean;
+            audio: boolean;
+            image: boolean;
+            video: boolean;
+            pdf: boolean;
+        };
+        interleaved: boolean | { field: string };
+    };
+    release_date: string;
+    variants: Record<string, unknown>;
+}
 
-    const result = Bun.spawn(["opencode", "run", prompt, "--model", model], {
+export interface FreeModel {
+    name: string;
+    id: string;
+}
+
+const ignore = ["gpt-5-nano"];
+
+function parseOpencodeModelsOutput(output: string): OpencodeModel[] {
+    let models: OpencodeModel[] = [];
+    const lines = output.split("\n");
+    let currentModelId: string | null = null;
+    let jsonBuffer: string[] = [];
+
+    for (const line of lines) {
+        const trimmed = line.trim();
+
+        // Check if line starts with "opencode/" (model ID header)
+        if (trimmed.startsWith("opencode/")) {
+            // Save previous model if exists
+            if (currentModelId && jsonBuffer.length > 0) {
+                try {
+                    const model = JSON.parse(jsonBuffer.join("\n")) as OpencodeModel;
+                    models.push(model);
+                } catch {
+                    // skip invalid JSON
+                }
+            }
+            currentModelId = trimmed;
+            jsonBuffer = [];
+        } else if (trimmed.startsWith("{")) {
+            jsonBuffer.push(trimmed);
+        } else if (jsonBuffer.length > 0 && trimmed) {
+            // Continue accumulating JSON lines
+            jsonBuffer.push(trimmed);
+        }
+    }
+
+    // Don't forget the last model
+    if (currentModelId && jsonBuffer.length > 0) {
+        try {
+            const model = JSON.parse(jsonBuffer.join("\n")) as OpencodeModel;
+            models.push(model);
+        } catch {
+            // skip invalid JSON
+        }
+    }
+
+    models = models.filter((model) => !ignore.includes(model.id));
+
+    return models;
+}
+
+// cached models storage
+let cachedFreeModels: FreeModel[] | null = null;
+
+// fallback models when opencode CLI fails
+const FALLBACK_MODELS: FreeModel[] = [
+    { name: "GLM 4.7 Free", id: "glm-4.7-free" },
+    { name: "Kimi K2.5 Free", id: "kimi-k2.5-free" },
+    { name: "MiniMax M2.1 Free", id: "minimax-m2.1-free" },
+    { name: "Trinity Large", id: "trinity-large-preview-free" },
+];
+
+// initialize the cache by fetching from opencode CLI
+export async function initializeFreeModelsCache(): Promise<void> {
+    try {
+        const models = await fetchFreeOpencodeModels();
+        cachedFreeModels = models;
+        console.log(`loaded ${models.length} free opencode models`);
+    } catch (error) {
+        console.error("failed to initialize free models cache:", error);
+        cachedFreeModels = FALLBACK_MODELS;
+    }
+}
+
+// refresh the cached models
+export async function refreshFreeModelsCache(): Promise<FreeModel[]> {
+    try {
+        const models = await fetchFreeOpencodeModels();
+        cachedFreeModels = models;
+        console.log(`refreshed ${models.length} free opencode models`);
+        return models;
+    } catch (error) {
+        console.error("failed to refresh free models cache:", error);
+        // keep existing cache if refresh fails
+        return cachedFreeModels ?? FALLBACK_MODELS;
+    }
+}
+
+// get cached models (returns fallback if not initialized)
+export function getCachedFreeModels(): FreeModel[] {
+    return cachedFreeModels ?? FALLBACK_MODELS;
+}
+
+// internal function to actually fetch from CLI
+async function fetchFreeOpencodeModels(): Promise<FreeModel[]> {
+    const proc = Bun.spawn({
+        cmd: ["opencode", "models", "opencode", "--verbose"],
+        stdout: "pipe",
+        stderr: "pipe",
+    });
+
+    const output = await new Response(proc.stdout).text();
+    const exitCode = await proc.exited;
+
+    if (exitCode !== 0) {
+        const error = await new Response(proc.stderr).text();
+        console.error("opencode models command failed:", error);
+        throw new Error("Failed to fetch opencode models");
+    }
+
+    const allModels = parseOpencodeModelsOutput(output);
+
+    // filter to free models only (cost.input === 0 && cost.output === 0)
+    const freeModels = allModels.filter((model) => model.cost.input === 0 && model.cost.output === 0);
+
+    // map to the expected format { name, id }
+    return freeModels.map((model) => ({
+        name: model.name,
+        id: model.id,
+    }));
+}
+
+export const callAI = async (prompt: string, model: string): Promise<AIResponse> => {
+    if (!model.includes("/")) model = `opencode/${model}`;
+    const result = Bun.spawn(["opencode", "run", prompt, "--model", model, "--title", "SPRINT_AUTOMATED"], {
         stdout: "pipe",
         stderr: "pipe",
     });