feat(opencode): add dynamic configuration and context discovery for LM Studio

packages/opencode/src/auth/index.ts

@@ -21,6 +21,7 @@ export namespace Auth {
     .object({
       type: z.literal("api"),
       key: z.string(),
+      baseURL: z.string().optional(),
     })
     .meta({ ref: "ApiAuth" })
 

packages/opencode/src/cli/cmd/auth.ts

@@ -198,7 +198,7 @@ export const AuthCommand = cmd({
   describe: "manage credentials",
   builder: (yargs) =>
     yargs.command(AuthLoginCommand).command(AuthLogoutCommand).command(AuthListCommand).demandCommand(),
-  async handler() {},
+  async handler() { },
 })
 
 export const AuthListCommand = cmd({
@@ -288,7 +288,7 @@ export const AuthLoginCommand = cmd({
           prompts.outro("Done")
           return
         }
-        await ModelsDev.refresh().catch(() => {})
+        await ModelsDev.refresh().catch(() => { })
 
         const config = await Config.get()
 
@@ -386,10 +386,10 @@ export const AuthLoginCommand = cmd({
         if (provider === "amazon-bedrock") {
           prompts.log.info(
             "Amazon Bedrock authentication priority:\n" +
-              "  1. Bearer token (AWS_BEARER_TOKEN_BEDROCK or /connect)\n" +
-              "  2. AWS credential chain (profile, access keys, IAM roles, EKS IRSA)\n\n" +
-              "Configure via opencode.json options (profile, region, endpoint) or\n" +
-              "AWS environment variables (AWS_PROFILE, AWS_REGION, AWS_ACCESS_KEY_ID, AWS_WEB_IDENTITY_TOKEN_FILE).",
+            "  1. Bearer token (AWS_BEARER_TOKEN_BEDROCK or /connect)\n" +
+            "  2. AWS credential chain (profile, access keys, IAM roles, EKS IRSA)\n\n" +
+            "Configure via opencode.json options (profile, region, endpoint) or\n" +
+            "AWS environment variables (AWS_PROFILE, AWS_REGION, AWS_ACCESS_KEY_ID, AWS_WEB_IDENTITY_TOKEN_FILE).",
           )
         }
 
@@ -407,6 +407,30 @@ export const AuthLoginCommand = cmd({
           )
         }
 
+        if (provider === "lmstudio") {
+          const baseURL = await prompts.text({
+            message: "Enter LM Studio server address",
+            placeholder: "http://127.0.0.1:1234/v1",
+            defaultValue: "http://127.0.0.1:1234/v1",
+            validate: (x) => (x && x.startsWith("http") ? undefined : "Must start with http:// or https://"),
+          })
+          if (prompts.isCancel(baseURL)) throw new UI.CancelledError()
+
+          const key = await prompts.password({
+            message: "Enter LM Studio API key (optional)",
+          })
+          if (prompts.isCancel(key)) throw new UI.CancelledError()
+
+          await Auth.set(provider, {
+            type: "api",
+            key: key || "sk-nothing",
+            baseURL,
+          })
+
+          prompts.outro("Done")
+          return
+        }
+
         const key = await prompts.password({
           message: "Enter your API key",
           validate: (x) => (x && x.length > 0 ? undefined : "Required"),

packages/opencode/src/provider/provider.ts

@@ -547,7 +547,7 @@ export namespace Provider {
       if (!apiToken) {
         throw new Error(
           "CLOUDFLARE_API_TOKEN (or CF_AIG_TOKEN) is required for Cloudflare AI Gateway. " +
-            "Set it via environment variable or run `opencode auth cloudflare-ai-gateway`.",
+          "Set it via environment variable or run `opencode auth cloudflare-ai-gateway`.",
         )
       }
 
@@ -588,6 +588,73 @@ export namespace Provider {
         },
       }
     },
+    lmstudio: async (provider) => {
+      const auth = await Auth.get("lmstudio")
+      const baseURL =
+        (auth?.type === "api" ? auth.baseURL : undefined) ?? "http://127.0.0.1:1234/v1"
+      const apiKey = auth?.type === "api" ? auth.key : undefined
+
+      try {
+        const response = await fetch(`${baseURL}/models`, {
+          headers: apiKey && apiKey !== "sk-nothing" ? { Authorization: `Bearer ${apiKey}` } : {},
+          signal: AbortSignal.timeout(2000),
+        })
+        if (response.ok) {
+          const json = (await response.json()) as {
+            data: { id: string; max_context_length?: number }[]
+          }
+          if (Array.isArray(json.data)) {
+            for (const m of json.data) {
+              if (!provider.models[m.id]) {
+                const discoveredContext = m.max_context_length ?? 128000
+                const context = Math.max(discoveredContext, 8192) // Floor at 8k for stability
+                const output = Math.min(Math.floor(context / 4), 16384)
+
+                provider.models[m.id] = {
+                  id: m.id,
+                  name: `${m.id} (local)`,
+                  providerID: "lmstudio",
+                  api: {
+                    id: m.id,
+                    url: baseURL,
+                    npm: "@ai-sdk/openai-compatible",
+                  },
+                  capabilities: {
+                    temperature: true,
+                    reasoning: false,
+                    attachment: true,
+                    toolcall: true,
+                    input: { text: true, audio: false, image: true, video: false, pdf: false },
+                    output: { text: true, audio: false, image: false, video: false, pdf: false },
+                    interleaved: false,
+                  },
+                  cost: { input: 0, output: 0, cache: { read: 0, write: 0 } },
+                  limit: { context, output },
+                  headers: {},
+                  options: {},
+                  release_date: "",
+                  status: "active",
+                  family: "",
+                }
+
+                if (context < 32768) {
+                  log.warn("LM Studio model has a small context limit, which may cause errors with OpenCode's large system prompt. Consider increasing it in LM Studio settings.", { id: m.id, context })
+                } else {
+                  log.info("Discovered LM Studio model", { id: m.id, context })
+                }
+              }
+            }
+          }
+        }
+      } catch (e) {
+        log.error("Failed to discover LM Studio models", { error: e })
+      }
+
+      return {
+        autoload: !!auth,
+        options: { baseURL, apiKey },
+      }
+    },
   }
 
   export const Model = z
@@ -699,13 +766,13 @@ export namespace Provider {
         },
         experimentalOver200K: model.cost?.context_over_200k
           ? {
-              cache: {
-                read: model.cost.context_over_200k.cache_read ?? 0,
-                write: model.cost.context_over_200k.cache_write ?? 0,
-              },
-              input: model.cost.context_over_200k.input,
-              output: model.cost.context_over_200k.output,
-            }
+            cache: {
+              read: model.cost.context_over_200k.cache_read ?? 0,
+              write: model.cost.context_over_200k.cache_write ?? 0,
+            },
+            input: model.cost.context_over_200k.input,
+            output: model.cost.context_over_200k.output,
+          }
           : undefined,
       },
       limit: {