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HomeAgent/internal/lua/adapters/ollama.lua
root ee811fb308 fix: Lua adapter fixes + add ReasoningContent to CompletionResponse
- Fix syntax error: tc.function -> tc["function"] (function is Lua keyword)
- Fix empty tool_calls: Lua returns nil instead of empty table ({} vs [] in JSON)
- Fix token_usage key name in unified response (usage -> token_usage)
- Add ReasoningContent to CompletionResponse struct
- Nits: jsonTable init, import ordering
2026-07-03 08:29:08 +08:00

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local adapter = {}
adapter.name = "ollama"
adapter.version = "2.0.0"
adapter.endpoint = "/api/chat"
adapter.headers = {}
-- Ollama API 格式:{ model, messages, stream, options:{temperature,num_predict} }
function adapter.transform_request(raw_body)
local ok, req = pcall(json.decode, raw_body)
if not ok then return raw_body end
local ollama_req = {
model = req.model or "llama3",
stream = req.stream or false,
options = {
temperature = req.temperature or 0.7,
num_predict = req.max_tokens or 2048
}
}
-- 转换 messages 格式Ollama 兼容 OpenAI 的 messages 格式)
if req.messages then
local msgs = {}
for _, m in ipairs(req.messages) do
table.insert(msgs, { role = m.role, content = m.content })
end
ollama_req.messages = msgs
end
return json.encode(ollama_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 = resp.done_reason or "",
tool_calls = {},
usage = { prompt = 0, completion = 0, total = 0 }
}
if resp.message then
unified.content = resp.message.content 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.message then return "" end
return json.encode({
content = chunk.message.content or "",
done = chunk.done or false
})
end
return adapter