mirror of
https://gitcode.com/JianFeeeee/ModelRouter.git
synced 2026-09-20 08:57:57 +00:00
valuelesser
83e6d88813
Streaming responses now carry the upstream's real token usage instead of gateway estimates: - UnifiedChunk gains an optional Usage field; adapters (opencode, openai) extract usage from upstream stream chunks (including the final chunk with empty choices) and pass it through. - standardSSEChunk preserves usage for passthrough adapters. - Gateway emits the exact usage in the final stream chunk when available, falling back to estimates only when the upstream provided none. Non-streaming usage was already fixed to emit OpenAI-standard keys.
108 lines
3.5 KiB
Lua
108 lines
3.5 KiB
Lua
local adapter = {}
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adapter.name = "openai"
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adapter.version = "2.0.0"
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adapter.endpoint = "/chat/completions"
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adapter.headers = {}
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-- OpenAI /chat/completions format (pass-through, strip provider-specific fields)
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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.disable_thinking = nil
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req.extra_body = nil
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if req.messages then
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for _, msg in ipairs(req.messages) do
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msg.reasoning_content = nil
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end
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end
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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 ch.message.reasoning_content then
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unified.reasoning_content = ch.message.reasoning_content
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end
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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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-- OpenAI-style streams may attach usage to a chunk with empty choices
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-- (the final usage chunk). Keys must match Go's TokenUsage json tags
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-- (prompt/completion/total); the gateway re-emits standard *_tokens.
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local uses = nil
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if type(chunk.usage) == "table" then
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uses = {
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prompt = chunk.usage.prompt_tokens or chunk.usage.prompt or 0,
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completion = chunk.usage.completion_tokens or chunk.usage.completion or 0,
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total = chunk.usage.total_tokens or chunk.usage.total or 0,
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}
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end
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if not chunk.choices or #chunk.choices == 0 then
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if uses ~= nil then
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return json.encode({ usage = uses, done = (chunk.usage ~= nil) })
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end
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return ""
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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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local unified = {
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content = delta.content or "",
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done = (fr ~= nil)
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}
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if uses ~= nil then
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unified.usage = uses
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end
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if delta.reasoning_content then
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unified.reasoning_content = delta.reasoning_content
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end
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if delta.tool_calls then
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unified.tool_calls = delta.tool_calls
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end
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return json.encode(unified)
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end
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return adapter
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