mirror of
https://gitcode.com/JianFeeeee/ModelRouter.git
synced 2026-09-20 00:48:00 +00:00
b2183df1e8
Every upstream formats errors differently, which is adapter territory: the protocol gains an optional transform_error(status, body) hook and all built-in adapters implement their own envelope parsing (zen free-pool labels, anthropic/gemini/ollama/mistral shapes, sensenova quota notes, agentrouter WAF pages). The core keeps a single uniform fallback: when no hook yields a reason clients get "api error <status>: unknown error" and the raw body goes to server logs only.
124 lines
3.9 KiB
Lua
124 lines
3.9 KiB
Lua
-- sensenova API format adapter
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-- streaming: delta only has reasoning_content, no content field
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-- non-streaming: has both content and reasoning_content
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local adapter = {}
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adapter.name = "sensenova"
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adapter.version = "1.0.0"
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adapter.endpoint = "/chat/completions"
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adapter.headers = {}
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-- Same as openai - 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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-- Same as openai - extract content from response
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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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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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-- Sensenova-specific stream handling
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-- Upstream puts content in reasoning_content only (no content field)
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-- Also sends finish_reason="" (empty string) on every chunk
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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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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 = false })
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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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-- Sensenova: delta has reasoning_content but no content
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local content = delta.content or ""
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if content == "" and delta.reasoning_content then
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content = delta.reasoning_content
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end
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-- Sensenova: finish_reason is "" on every chunk, "stop" on last
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local fr = chunk.choices[1].finish_reason
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local done = (fr == "stop" or fr == "length")
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local unified = {
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content = content,
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done = done,
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}
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if chunk.choices[1].finish_reason and chunk.choices[1].finish_reason ~= "" then
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unified.finish_reason = chunk.choices[1].finish_reason
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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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if uses ~= nil then
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unified.usage = uses
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end
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return json.encode(unified)
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end
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-- 错误收敛：sensenova 为 OpenAI 风格 {error:{message,...}}；
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-- 配额类错误单独点出便于客户端识别重置周期。
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function adapter.transform_error(status, body)
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local ok, resp = pcall(json.decode, body)
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if not ok or type(resp) ~= "table" then return nil end
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local e = resp.error
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if type(e) ~= "table" then return nil end
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if status == 429 and type(e.code) == "string"
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and e.code == "insufficient_quota" then
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return "workspace quota exhausted (resets periodically)"
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end
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if type(e.message) == "string" then return e.message end
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return nil
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end
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return adapter
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