mirror of
https://gitcode.com/JianFeeeee/ModelRouter.git
synced 2026-09-20 00:48:00 +00:00
f7f76e097d
- Lua adapters per upstream (transform_request/response/stream_chunk, build_headers signing hooks) - AUTO priority routing with per-model kind (chat/image), explicit source/model routing - Per-source concurrency caps with queueing, exponential backoff, AUTO failover - OpenAI-compatible API: chat completions, SSE streaming, image generations, models - Gateway key auth, web UI for adapter/source management, runtime persistence - e2e test running the real binary against mocked upstreams
75 lines
2.4 KiB
Lua
75 lines
2.4 KiB
Lua
local adapter = {}
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adapter.name = "groq"
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adapter.version = "2.0.0"
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adapter.endpoint = "/openai/v1/chat/completions"
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adapter.headers = {}
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-- Groq API is OpenAI-compatible
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function adapter.transform_request(raw_body)
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local ok, req = pcall(json.decode, raw_body)
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if not ok then return raw_body end
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req.model = req.model or "llama3-70b-8192"
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req.temperature = req.temperature or 0.7
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req.max_tokens = req.max_tokens or 4096
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req.stream = req.stream or false
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req.disable_thinking = nil
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req.extra_body = nil
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return json.encode(req)
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end
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function adapter.transform_response(raw_body)
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local ok, resp = pcall(json.decode, raw_body)
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if not ok or resp == nil then return raw_body end
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local unified = {
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content = "",
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finish_reason = "",
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token_usage = { prompt = 0, completion = 0, total = 0 }
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}
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if type(resp.usage) == "table" then
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unified.token_usage.prompt = resp.usage.prompt_tokens or 0
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unified.token_usage.completion = resp.usage.completion_tokens or 0
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unified.token_usage.total = resp.usage.total_tokens or 0
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end
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if type(resp.choices) == "table" and #resp.choices > 0 then
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local ch = resp.choices[1]
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if type(ch.message) == "table" then
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unified.content = ch.message.content or ""
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if type(ch.message.tool_calls) == "table" then
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local tcs = {}
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for _, tc in ipairs(ch.message.tool_calls) do
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local args_ok, args = pcall(json.decode, tc["function"].arguments)
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if not args_ok then args = {} end
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table.insert(tcs, {
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id = tc.id,
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type = tc.type or "function",
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name = tc["function"].name,
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arguments = args
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})
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end
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unified.tool_calls = tcs
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end
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end
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unified.finish_reason = ch.finish_reason or ""
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end
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return json.encode(unified)
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end
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function adapter.transform_stream_chunk(raw_chunk)
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local ok, chunk = pcall(json.decode, raw_chunk)
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if not ok then return "" end
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if not chunk.choices or #chunk.choices == 0 then return "" end
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local delta = chunk.choices[1].delta or {}
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local fr = chunk.choices[1].finish_reason
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return json.encode({
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content = delta.content or "",
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done = (fr ~= nil)
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})
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end
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return adapter
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