local adapter = {} adapter.name = "deepseek" adapter.version = "2.1.0" adapter.endpoint = "/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 -- V4 已替换 legacy 模型名(deepseek-chat/reasoner 2026-07-24 停用) req.model = req.model or "deepseek-v4-flash" if req.model == "deepseek-chat" or req.model == "deepseek-reasoner" then req.model = "deepseek-v4-flash" end req.stream = req.stream or false if req.disable_thinking then req.extra_body = req.extra_body or {} req.extra_body.thinking = { type = "disabled" } end req.disable_thinking = nil -- V4 thinking 模式要求:带 tool_calls 的 assistant 消息必须回传 reasoning_content。 -- OpenAI 兼容客户端不会发该字段,补空串即可通过校验。 if req.messages then for _, msg in ipairs(req.messages) do if msg.role == "assistant" and msg.tool_calls and msg.tool_calls[1] then if msg.reasoning_content == nil then msg.reasoning_content = "" end end end end return json.encode(req) end function adapter.transform_response(raw_body) local ok, resp = pcall(json.decode, raw_body) 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 -- OpenAI-style streams may attach usage to a chunk with empty choices -- (the final usage chunk). Keys must match Go's TokenUsage json tags -- (prompt/completion/total); the gateway re-emits standard *_tokens. 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, } end if not chunk.choices or #chunk.choices == 0 then if uses ~= nil then -- usage-only chunk is not a content/finish signal; the gateway -- emits its own terminal stop chunk and merges this usage. 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 -- 错误收敛:DeepSeek 走标准 OpenAI 信封 {error:{message,...}} function adapter.transform_error(status, body) local ok, resp = pcall(json.decode, body) if not ok or type(resp) ~= "table" then return nil end local e = resp.error if type(e) == "table" and type(e.message) == "string" then return e.message end return nil end return adapter