Files
ModelRouter/internal/lua/adapters/agentrouter.lua
dev ec89daad62 fix(adapters): pass through cache tokens in the remaining 8 adapters
Live testing proved both sensenova and zen DO return cache fields:
- zen laguna-s-2.1-free: usage.prompt_tokens_details.cached_tokens = 32
  (real hit), plus cache_write_tokens/audio_tokens
- sensenova glm-5.2: prompt_tokens_details.cached_tokens present (0 on
  short prompts)

The previous round only patched deepseek/openai/anthropic/gemini.lua;
sensenova/opencode (localzen!) and the other adapters still dropped them.

- sensenova/opencode/groq/mistral/github/kimicode: stream + response
  cache passthrough (same pattern as openai.lua)
- agentrouter: response passthrough + NEW stream usage forwarding (it
  previously dropped the terminal usage-only chunk entirely)
- ollama skipped intentionally: its native API has no cache fields

Verified end-to-end through the gateway: localzen/laguna-s-2.1-free now
returns prompt_tokens_details.cached_tokens=32 to clients, and the request
record carries cache_hit_tokens (both chat and stream paths).
2026-08-25 09:52:55 +08:00

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local adapter = {}
adapter.name = "agentrouter"
adapter.version = "1.0.0"
adapter.endpoint = "/chat/completions"
adapter.headers = {}
-- AgentRouter 的 WAF 会按客户端指纹白名单校验,只放行官方客户端。
-- 这里通过 build_headers 注入官方客户端 User-Agent 以通过校验。
-- 默认 QwenCode 指纹(实测可通);可在 source.meta.user_agent 覆盖成 Claude Code 指纹。
local default_ua = "QwenCode/0.2.0 (linux; x64)"
function adapter.transform_request(raw_body)
local ok, req = pcall(json.decode, raw_body)
if not ok then return raw_body end
req.disable_thinking = nil
req.extra_body = nil
if req.messages then
for _, msg in ipairs(req.messages) do
msg.reasoning_content = nil
end
end
return json.encode(req)
end
-- 注入 Authorization + 官方客户端 User-Agent
function adapter.build_headers(meta)
local ua = default_ua
local meta_ua = (meta.source or {}).meta and (meta.source).meta.user_agent
if meta_ua and meta_ua ~= "" then
ua = meta_ua
end
return {
["Content-Type"] = "application/json",
["Authorization"] = "Bearer " .. meta.api_key,
["User-Agent"] = ua,
}
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
local hit = 0
if type(resp.usage.prompt_tokens_details) == "table" and (resp.usage.prompt_tokens_details.cached_tokens or 0) > 0 then
hit = resp.usage.prompt_tokens_details.cached_tokens
unified.token_usage.prompt_tokens_details = { cached_tokens = hit }
end
if (resp.usage.prompt_cache_hit_tokens or 0) > 0 then
unified.token_usage.prompt_cache_hit_tokens = resp.usage.prompt_cache_hit_tokens
unified.token_usage.prompt_cache_miss_tokens = resp.usage.prompt_cache_miss_tokens or 0
if hit == 0 then
unified.token_usage.prompt_tokens_details = { cached_tokens = resp.usage.prompt_cache_hit_tokens }
end
end
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
-- usage-only terminal chunk (empty choices + usage): forward it so the
-- gateway emits exact token counts (and cache fields when present).
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,
}
if type(chunk.usage.prompt_tokens_details) == "table" and (chunk.usage.prompt_tokens_details.cached_tokens or 0) > 0 then
uses.prompt_tokens_details = { cached_tokens = chunk.usage.prompt_tokens_details.cached_tokens }
elseif (chunk.usage.prompt_cache_hit_tokens or 0) > 0 then
uses.prompt_cache_hit_tokens = chunk.usage.prompt_cache_hit_tokens
uses.prompt_cache_miss_tokens = chunk.usage.prompt_cache_miss_tokens or 0
uses.prompt_tokens_details = { cached_tokens = chunk.usage.prompt_cache_hit_tokens }
end
end
if not chunk.choices or #chunk.choices == 0 then
if uses ~= nil then
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 delta.reasoning_content then
unified.reasoning_content = delta.reasoning_content
end
if delta.tool_calls then
unified.tool_calls = delta.tool_calls
end
if uses ~= nil then
unified.usage = uses
end
return json.encode(unified)
end
-- 错误收敛:前置 WAF 会返回整页 HTML阿里云盾JSON 时为 new-api 风格
function adapter.transform_error(status, body)
local low = string.lower(body or "")
if string.sub(low, 1, 9) == "<!doctype" or string.find(low, "<html", 1, true) then
return "blocked by AgentRouter WAF"
end
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