fix(adapters): reflow live sensenova reasoning field, add trae adapter

sensenova: the deployed /etc/llmsproxy/adapters/sensenova.lua carried a fix that
never made it back into the repo — sensenova-6.8-flash-lite reports its chain of
thought in `reasoning` rather than `reasoning_content`, in both the single-shot
response and the stream deltas. Without this the model's output looked empty.
Repo and deployment now match byte for byte.

trae: the adapter was in use on this deployment but untracked, so a fresh
install had no way to serve the trae source.

internal/lua/adapters/sensenova.lua

@@ -57,6 +57,9 @@ function adapter.transform_response(raw_body)
             unified.content = ch.message.content or ""
             if ch.message.reasoning_content then
                 unified.reasoning_content = ch.message.reasoning_content
+            elseif ch.message.reasoning then
+                -- sensenova-6.8-flash-lite 用 reasoning 字段而不是 reasoning_content
+                unified.reasoning_content = ch.message.reasoning
             end
         end
         unified.finish_reason = ch.finish_reason or ""
@@ -97,10 +100,11 @@ function adapter.transform_stream_chunk(raw_chunk)
 
     local delta = chunk.choices[1].delta or {}
 
-    -- Sensenova: delta has reasoning_content but no content
+    -- Sensenova: delta has reasoning_content (deepseek-v4-flash) or reasoning
+    -- (sensenova-6.8-flash-lite) but no content field
     local content = delta.content or ""
-    if content == "" and delta.reasoning_content then
-        content = delta.reasoning_content
+    if content == "" and (delta.reasoning_content or delta.reasoning) then
+        content = delta.reasoning_content or delta.reasoning
     end
 
     -- Sensenova: finish_reason is "" on every chunk, "stop" on last

internal/lua/adapters/trae.lua

@@ -0,0 +1,175 @@
+-- trae 源适配器（trae-local-api 的 OpenAI 兼容代理）
+-- trae-local-api 运行在 http://127.0.0.1:19900，接 Trae CN 账号的云资源。
+-- 协议：OpenAI /v1/chat/completions
+-- 特性：
+--   - 排队：上游 busy 时排队，可能长时间无响应
+--   - 非流式请求偶发返回 SSE 数据（upstream bug）
+--   - 支持 thinking，由上游模型自动决定是否开启
+
+local adapter = {}
+adapter.name = "trae"
+adapter.version = "1.0.0"
+adapter.endpoint = "/v1/chat/completions"
+adapter.headers = {}
+
+function adapter.transform_request(raw_body)
+    local ok, req = pcall(json.decode, raw_body)
+    if not ok then return raw_body end
+    req.disable_thinking = nil
+    req.extra_body = nil
+    if req.messages then
+        for _, msg in ipairs(req.messages) do
+            msg.reasoning_content = nil
+        end
+    end
+    return json.encode(req)
+end
+
+function adapter.transform_response(raw_body)
+    -- trae-local-api 偶发在非流式请求中返回 SSE 格式数据，
+    -- 表现为多个 data: {...} 行或混合了 reasoning_chunk 等。
+    -- 剥掉 data: 前缀，取最后一个完整的 JSON 块（通常是
+    -- 最终的 stop chunk 或 usage chunk）。
+    local use_json = raw_body
+    if raw_body:match("^data:") or raw_body:match("\ndata:") then
+        -- 取最后一个 data: 行的 JSON
+        local last = nil
+        for line in raw_body:gmatch("data: ([^\n\r]+)") do
+            local trimmed = line:match("^%s*(.-)%s*$")
+            if trimmed and trimmed ~= "[DONE]" then
+                local ok2, obj = pcall(json.decode, trimmed)
+                if ok2 and type(obj) == "table" then
+                    last = obj
+                end
+            end
+        end
+        if last then
+            use_json = json.encode(last)
+        end
+        -- 如果解析失败，回退到原始 body
+    end
+
+    local ok, resp = pcall(json.decode, use_json)
+    if not ok or resp == nil then return raw_body end
+
+    local unified = {
+        content = "",
+        finish_reason = "",
+        token_usage = { prompt = 0, completion = 0, total = 0 }
+    }
+
+    if type(resp.usage) == "table" then
+        unified.token_usage.prompt = resp.usage.prompt_tokens or 0
+        unified.token_usage.completion = resp.usage.completion_tokens or 0
+        unified.token_usage.total = resp.usage.total_tokens or 0
+    end
+
+    if type(resp.choices) == "table" and #resp.choices > 0 then
+        local ch = resp.choices[1]
+        if type(ch.message) == "table" then
+            unified.content = ch.message.content or ""
+            if ch.message.reasoning_content then
+                unified.reasoning_content = ch.message.reasoning_content
+            end
+            if type(ch.message.tool_calls) == "table" then
+                local tcs = {}
+                for _, tc in ipairs(ch.message.tool_calls) do
+                    local args_ok, args = pcall(json.decode, tc["function"].arguments)
+                    if not args_ok then args = {} end
+                    table.insert(tcs, {
+                        id = tc.id,
+                        type = tc.type or "function",
+                        name = tc["function"].name,
+                        arguments = args
+                    })
+                end
+                unified.tool_calls = tcs
+            end
+        end
+        unified.finish_reason = ch.finish_reason or ""
+    end
+
+    return json.encode(unified)
+end
+
+function adapter.transform_stream_chunk(raw_chunk)
+    local ok, chunk = pcall(json.decode, raw_chunk)
+    if not ok then return "" end
+
+    local uses = nil
+    if type(chunk.usage) == "table" then
+        uses = {
+            prompt = chunk.usage.prompt_tokens or chunk.usage.prompt or 0,
+            completion = chunk.usage.completion_tokens or chunk.usage.completion or 0,
+            total = chunk.usage.total_tokens or chunk.usage.total or 0,
+        }
+        if type(chunk.usage.prompt_tokens_details) == "table" and chunk.usage.prompt_tokens_details.cached_tokens ~= nil then
+            uses.prompt_tokens_details = { cached_tokens = chunk.usage.prompt_tokens_details.cached_tokens }
+        elseif (chunk.usage.prompt_cache_hit_tokens or 0) > 0 then
+            uses.prompt_cache_hit_tokens = chunk.usage.prompt_cache_hit_tokens
+            uses.prompt_cache_miss_tokens = chunk.usage.prompt_cache_miss_tokens or 0
+            uses.prompt_tokens_details = { cached_tokens = chunk.usage.prompt_cache_hit_tokens }
+        end
+    end
+
+    if not chunk.choices or #chunk.choices == 0 then
+        if uses ~= nil then
+            return json.encode({ usage = uses, done = false })
+        end
+        return ""
+    end
+    local delta = chunk.choices[1].delta or {}
+    local fr = chunk.choices[1].finish_reason
+
+    local finish = (type(fr) == "string" and fr ~= "") and fr or nil
+
+    local unified = {
+        content = delta.content or "",
+        done = (finish ~= nil)
+    }
+    if finish then
+        unified.finish_reason = finish
+    end
+    if uses ~= nil then
+        unified.usage = uses
+    end
+    if delta.reasoning_content then
+        unified.reasoning_content = delta.reasoning_content
+    end
+    if delta.tool_calls then
+        unified.tool_calls = delta.tool_calls
+    end
+    return json.encode(unified)
+end
+
+function adapter.transform_error(status, body)
+    local ok, resp = pcall(json.decode, body)
+    if not ok or type(resp) ~= "table" then
+        -- Non-JSON body: extract title from HTML or first line
+        local title = string.match(body or "", "<title>(.-)</title>")
+        if title and title ~= "" then return title end
+        local line = string.match(body or "", "^%s*([^\r\n]+)")
+        if line and line ~= "" and not string.match(line, "^<") then
+            return string.sub(line, 1, 200)
+        end
+        return nil
+    end
+    local e = resp.error
+    if type(e) == "table" and type(e.message) == "string" then
+        -- trae quota / rate limit annotations
+        if e.code then
+            return tostring(e.code) .. ": " .. e.message
+        end
+        return e.message
+    end
+    if type(e) == "string" then return e end
+    if type(resp.message) == "string" and resp.message ~= "" then
+        if resp.code ~= nil then
+            return tostring(resp.code) .. ": " .. resp.message
+        end
+        return resp.message
+    end
+    return nil
+end
+
+return adapter