real life totally configurabl ai subasians

packages/opencode/src/agent/agent.ts

@@ -0,0 +1,99 @@
+import { App } from "../app/app"
+import { Config } from "../config/config"
+import z from "zod"
+import { Provider } from "../provider/provider"
+import { generateObject, type ModelMessage } from "ai"
+import PROMPT_GENERATE from "./generate.txt"
+import { SystemPrompt } from "../session/system"
+
+export namespace Agent {
+  export const Info = z
+    .object({
+      name: z.string(),
+      model: z
+        .object({
+          modelID: z.string(),
+          providerID: z.string(),
+        })
+        .optional(),
+      description: z.string(),
+      prompt: z.string().optional(),
+      tools: z.record(z.boolean()),
+    })
+    .openapi({
+      ref: "Agent",
+    })
+  export type Info = z.infer<typeof Info>
+  const state = App.state("agent", async () => {
+    const cfg = await Config.get()
+    const result: Record<string, Info> = {
+      general: {
+        name: "general",
+        description:
+          "General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you.",
+        tools: {
+          todoread: false,
+          todowrite: false,
+        },
+      },
+    }
+    for (const [key, value] of Object.entries(cfg.agent ?? {})) {
+      if (value.disable) continue
+      let item = result[key]
+      if (!item)
+        item = result[key] = {
+          name: key,
+          description: "",
+          tools: {},
+        }
+      const model = value.model ?? cfg.model
+      if (model) item.model = Provider.parseModel(model)
+      if (value.prompt) item.prompt = value.prompt
+      if (value.tools)
+        item.tools = {
+          ...item.tools,
+          ...value.tools,
+        }
+      if (value.description) item.description = value.description
+    }
+    return result
+  })
+
+  export async function get(agent: string) {
+    return state().then((x) => x[agent])
+  }
+
+  export async function list() {
+    return state().then((x) => Object.values(x))
+  }
+
+  export async function generate(input: { description: string }) {
+    const defaultModel = await Provider.defaultModel()
+    const model = await Provider.getModel(defaultModel.providerID, defaultModel.modelID)
+    const system = SystemPrompt.header(defaultModel.providerID)
+    system.push(PROMPT_GENERATE)
+    const existing = await list()
+    const result = await generateObject({
+      temperature: 0.3,
+      prompt: [
+        ...system.map(
+          (item): ModelMessage => ({
+            role: "system",
+            content: item,
+          }),
+        ),
+        {
+          role: "user",
+          content: `Create an agent configuration based on this request: \"${input.description}\".\n\nIMPORTANT: The following identifiers already exist and must NOT be used: ${existing.map((i) => i.name).join(", ")}\n  Return ONLY the JSON object, no other text, do not wrap in backticks`,
+        },
+      ],
+      model: model.language,
+      schema: z.object({
+        identifier: z.string(),
+        whenToUse: z.string(),
+        systemPrompt: z.string(),
+      }),
+    })
+    return result.object
+  }
+}