fix(qoder): report usage to all clients and stop inlining large attachments

- Coalesce Qoder's empty finish-in-delta frame with the later choices:[] usage
  frame so OpenAI and Claude clients receive prompt_tokens, completion_tokens
  and cache-hit tokens (the dashboard already saw them)
- Upload inlined images through /api/v2/image/upload like qodercli, and stub
  oversized non-image files instead of stuffing 30MB+ data URIs into
  agent_chat_generation
- Emit response.completed -> response.usage for chat-native upstreams so
  /v1/responses clients (Codex CLI, sub2api) no longer log 0/0/0
- Keep Claude message_delta.usage working when usage arrives without choices[0]
- Escalate to the smallest advertised Qoder context tier (200K/400K/1M) when
  the estimated prompt no longer fits max_input_tokens
- Pass apiKey for PAT connections and list hidden enable:false catalog keys
  from /v1/models

open-sse/translator/response/openai-to-claude.js

@@ -67,48 +67,50 @@ function stopTextBlock(state, results) {
   state.textBlockStarted = false;
 }
 
+function recordOpenAIUsage(chunk, state) {
+  if (!chunk?.usage || typeof chunk.usage !== "object") return;
+
+  const promptTokens = typeof chunk.usage.prompt_tokens === "number" ? chunk.usage.prompt_tokens : 0;
+  const outputTokens = typeof chunk.usage.completion_tokens === "number" ? chunk.usage.completion_tokens : 0;
+
+  // Extract cache tokens from prompt_tokens_details
+  const cachedTokens = chunk.usage.prompt_tokens_details?.cached_tokens;
+  const cacheCreationTokens = chunk.usage.prompt_tokens_details?.cache_creation_tokens;
+  const cacheReadTokens = typeof cachedTokens === "number" ? cachedTokens : 0;
+  const cacheCreateTokens = typeof cacheCreationTokens === "number" ? cacheCreationTokens : 0;
+
+  // input_tokens = prompt_tokens - cached_tokens - cache_creation_tokens
+  // Because OpenAI's prompt_tokens includes all prompt-side tokens
+  const inputTokens = promptTokens - cacheReadTokens - cacheCreateTokens;
+
+  state.usage = {
+    input_tokens: inputTokens,
+    output_tokens: outputTokens
+  };
+
+  if (cacheReadTokens > 0) {
+    state.usage.cache_read_input_tokens = cacheReadTokens;
+  }
+  if (cacheCreateTokens > 0) {
+    state.usage.cache_creation_input_tokens = cacheCreateTokens;
+  }
+}
+
 // Convert OpenAI stream chunk to Claude format
 export function openaiToClaudeResponse(chunk, state) {
-  if (!chunk || !chunk.choices?.[0]) return null;
+  if (!chunk) return null;
+
+  // Track usage from OpenAI chunk if available
+  if (chunk.usage && typeof chunk.usage === "object") {
+    recordOpenAIUsage(chunk, state);
+  }
+
+  if (!chunk.choices?.[0]) return null;
 
   const results = [];
   const choice = chunk.choices[0];
   const delta = choice.delta;
 
-  // Track usage from OpenAI chunk if available
-  if (chunk.usage && typeof chunk.usage === "object") {
-    const promptTokens = typeof chunk.usage.prompt_tokens === "number" ? chunk.usage.prompt_tokens : 0;
-    const outputTokens = typeof chunk.usage.completion_tokens === "number" ? chunk.usage.completion_tokens : 0;
-
-    // Extract cache tokens from prompt_tokens_details
-    const cachedTokens = chunk.usage.prompt_tokens_details?.cached_tokens;
-    const cacheCreationTokens = chunk.usage.prompt_tokens_details?.cache_creation_tokens;
-    const cacheReadTokens = typeof cachedTokens === "number" ? cachedTokens : 0;
-    const cacheCreateTokens = typeof cacheCreationTokens === "number" ? cacheCreationTokens : 0;
-
-    // input_tokens = prompt_tokens - cached_tokens - cache_creation_tokens
-    // Because OpenAI's prompt_tokens includes all prompt-side tokens
-    const inputTokens = promptTokens - cacheReadTokens - cacheCreateTokens;
-
-    state.usage = {
-      input_tokens: inputTokens,
-      output_tokens: outputTokens
-    };
-
-    // Add cache_read_input_tokens if present
-    if (cacheReadTokens > 0) {
-      state.usage.cache_read_input_tokens = cacheReadTokens;
-    }
-
-    // Add cache_creation_input_tokens if present
-    if (cacheCreateTokens > 0) {
-      state.usage.cache_creation_input_tokens = cacheCreateTokens;
-    }
-
-    // Note: completion_tokens_details.reasoning_tokens is already included in output_tokens
-    // No need to add separately as Claude expects total output_tokens
-  }
-
   // First chunk - ALWAYS send message_start first
   if (!state.messageStartSent) {
     state.messageStartSent = true;
@@ -221,8 +223,9 @@ export function openaiToClaudeResponse(chunk, state) {
     }
   }
 
-  // Finish
-  if (choice.finish_reason) {
+  // Finish (OpenAI puts this on the choice; Qoder often puts it on delta)
+  const finishReason = choice.finish_reason || delta?.finish_reason;
+  if (finishReason) {
     stopThinkingBlock(state, results);
     stopTextBlock(state, results);
 
@@ -244,13 +247,13 @@ export function openaiToClaudeResponse(chunk, state) {
     }
 
     // Mark finish for later usage injection in stream.js
-    state.finishReason = choice.finish_reason;
+    state.finishReason = finishReason;
 
     // Use tracked usage (will be estimated in stream.js if not valid)
     const finalUsage = state.usage || { input_tokens: 0, output_tokens: 0 };
     results.push({
       type: "message_delta",
-      delta: { stop_reason: convertFinishReason(choice.finish_reason) },
+      delta: { stop_reason: convertFinishReason(finishReason) },
       usage: finalUsage
     });
     results.push({ type: "message_stop" });