local adapter = {} adapter.name = "groq" adapter.version = "2.0.0" adapter.endpoint = "/openai/v1/chat/completions" adapter.headers = {} -- Groq API is OpenAI-compatible function adapter.transform_request(raw_body) local ok, req = pcall(json.decode, raw_body) if not ok then return raw_body end req.model = req.model or "llama3-70b-8192" req.temperature = req.temperature or 0.7 req.max_tokens = req.max_tokens or 4096 req.stream = req.stream or false return json.encode(req) end function adapter.transform_response(raw_body) local ok, resp = pcall(json.decode, raw_body) if not ok then return raw_body end local unified = { content = "", finish_reason = "", token_usage = { prompt = 0, completion = 0, total = 0 } } if resp.usage 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 resp.choices and #resp.choices > 0 then local ch = resp.choices[1] if ch.message then unified.content = ch.message.content or "" if ch.message.tool_calls 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 if not chunk.choices or #chunk.choices == 0 then return "" end local delta = chunk.choices[1].delta or {} local fr = chunk.choices[1].finish_reason return json.encode({ content = delta.content or "", done = (fr ~= nil) }) end return adapter