feat: MoA supports Anthropic Messages format (MOA_{NAME}_API_FORMAT=anthropic)

Kimi coding plan and GLM both use Anthropic-compatible API, not OpenAI.
queryModel now dispatches to /v1/messages or /chat/completions based on
apiFormat config per reference model.

src/config.ts

@@ -183,7 +183,10 @@ function parseMoaReferenceModels(): MoaModelConfig[] {
       const baseUrl = getEnv(`${prefix}_BASE_URL`) || '';
       const apiKey = getEnv(`${prefix}_API_KEY`) || '';
       if (!model || !baseUrl || !apiKey) return null;
-      return { name, model, baseUrl, apiKey };
+      const rawFormat = getEnv(`${prefix}_API_FORMAT`) || '';
+      const apiFormat: 'openai' | 'anthropic' =
+        rawFormat === 'anthropic' ? 'anthropic' : 'openai';
+      return { name, model, baseUrl, apiKey, apiFormat };
     })
     .filter((m): m is MoaModelConfig => m !== null);
 }

src/kimi-usage.ts

@@ -60,13 +60,9 @@ let cachedData: KimiUsageData | null = null;
 function getKimiConfig(): { baseUrl: string; authToken: string } | null {
   // Try MoA config first, then fallback config
   const authToken =
-    getEnv('MOA_KIMI_API_KEY') ||
+    getEnv('MOA_KIMI_API_KEY') || getEnv('FALLBACK_AUTH_TOKEN') || '';
-    getEnv('FALLBACK_AUTH_TOKEN') ||
-    '';
   const baseUrl =
-    getEnv('MOA_KIMI_BASE_URL') ||
+    getEnv('MOA_KIMI_BASE_URL') || getEnv('FALLBACK_BASE_URL') || '';
-    getEnv('FALLBACK_BASE_URL') ||
-    '';
   if (!baseUrl || !authToken) return null;
   return { baseUrl, authToken };
 }
@@ -184,9 +180,7 @@ function formatMembershipLabel(level?: string): string {
   return labelMap[cleaned] || cleaned;
 }
 
-export function buildKimiUsageRows(
+export function buildKimiUsageRows(data: KimiUsageData | null): UsageRow[] {
-  data: KimiUsageData | null,
-): UsageRow[] {
   if (!data) return [];
 
   const memberLabel = formatMembershipLabel(data.membershipLevel);

src/moa.ts

@@ -15,6 +15,8 @@ export interface MoaModelConfig {
   model: string;
   baseUrl: string;
   apiKey: string;
+  /** API format: 'openai' (default) or 'anthropic' (Messages API). */
+  apiFormat: 'openai' | 'anthropic';
 }
 
 export interface MoaConfig {
@@ -38,37 +40,70 @@ async function queryModel(
   const timer = setTimeout(() => controller.abort(), timeoutMs);
 
   try {
-    const response = await fetch(
+    const base = model.baseUrl.replace(/\/+$/, '');
-      `${model.baseUrl.replace(/\/+$/, '')}/chat/completions`,
+    const isAnthropic = model.apiFormat === 'anthropic';
-      {
+
-        method: 'POST',
+    const url = isAnthropic
-        headers: {
+      ? `${base}/v1/messages`
+      : `${base}/chat/completions`;
+
+    const headers: Record<string, string> = {
       'Content-Type': 'application/json',
-          Authorization: `Bearer ${model.apiKey}`,
+    };
-        },
+    if (isAnthropic) {
-        body: JSON.stringify({
+      headers['x-api-key'] = model.apiKey;
+      headers['anthropic-version'] = '2023-06-01';
+    } else {
+      headers['Authorization'] = `Bearer ${model.apiKey}`;
+    }
+
+    const body = isAnthropic
+      ? {
           model: model.model,
+          system: systemPrompt,
+          max_tokens: 2048,
+          messages: [{ role: 'user', content: userPrompt }],
+        }
+      : {
+          model: model.model,
+          max_tokens: 2048,
           messages: [
             { role: 'system', content: systemPrompt },
             { role: 'user', content: userPrompt },
           ],
-          max_tokens: 2048,
+        };
-        }),
+
+    const response = await fetch(url, {
+      method: 'POST',
+      headers,
+      body: JSON.stringify(body),
       signal: controller.signal,
-      },
+    });
-    );
 
     if (!response.ok) {
-      const body = await response.text().catch(() => '');
+      const respBody = await response.text().catch(() => '');
       throw new Error(
-        `${response.status} ${response.statusText}: ${body.slice(0, 200)}`,
+        `${response.status} ${response.statusText}: ${respBody.slice(0, 200)}`,
       );
     }
 
-    const data = (await response.json()) as {
+    const data = await response.json();
-      choices?: { message?: { content?: string } }[];
+
-    };
+    // Parse response based on format
-    const content = data.choices?.[0]?.message?.content;
+    let content: string | undefined;
+    if (isAnthropic) {
+      const blocks = (data as { content?: { type: string; text: string }[] })
+        .content;
+      content = blocks
+        ?.filter((b: { type: string }) => b.type === 'text')
+        .map((b: { text: string }) => b.text)
+        .join('');
+    } else {
+      content = (
+        data as { choices?: { message?: { content?: string } }[] }
+      ).choices?.[0]?.message?.content;
+    }
+
     if (!content) throw new Error('Empty response from model');
     return content;
   } finally {