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
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@@ -222,9 +222,9 @@ export const PROVIDER_CAPABILITIES = {
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// windows (GLM-5.3 / Kimi-K3 / Qwen3.8-Max claim 180K but accept more).
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// max_output_tokens arrives as 0 for every model, so outputs are
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// best-guess from the real model family. Vision tags below follow the
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// upstream is_vl flag per explicit request, even though the executor
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// currently sends image_urls:null (image pass-through over the agent_chat
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// SSE protocol is unverified). reasoning:true on all of them — every model can
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// upstream is_vl flag. The executor uploads inlined images to
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// /api/v2/image/upload and leaves image_urls/chat_context.imageUrls null
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// (same as qodercli). reasoning:true on all of them — every model can
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// reason; the upstream is_reasoning flag only drives model_config selection.
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// thinkingFormat keeps the true-model family for documentation/UI, but
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// thinkingCanDisable:false everywhere: the executor only forwards
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