138 lines
4.5 KiB
Python
138 lines
4.5 KiB
Python
import json
|
|
import logging
|
|
|
|
from odoo import models, api, _
|
|
from odoo.exceptions import UserError
|
|
|
|
_logger = logging.getLogger(__name__)
|
|
|
|
try:
|
|
from openai import OpenAI
|
|
except ImportError:
|
|
OpenAI = None
|
|
|
|
|
|
class FusionAccountingAdapterOpenAI(models.AbstractModel):
|
|
_name = 'fusion.accounting.adapter.openai'
|
|
_description = 'OpenAI AI Adapter'
|
|
|
|
def _get_client(self):
|
|
if OpenAI is None:
|
|
raise UserError(_("The 'openai' Python package is not installed."))
|
|
try:
|
|
key = self.env['fusion.api.service'].get_api_key(
|
|
provider_type='openai',
|
|
consumer='fusion_accounting',
|
|
feature='chat_with_tools',
|
|
)
|
|
except Exception:
|
|
ICP = self.env['ir.config_parameter'].sudo()
|
|
key = ICP.get_param('fusion_accounting.openai_api_key', '')
|
|
if not key:
|
|
raise UserError(_("No OpenAI API key configured."))
|
|
return OpenAI(api_key=key)
|
|
|
|
def _get_model_name(self):
|
|
ICP = self.env['ir.config_parameter'].sudo()
|
|
return ICP.get_param('fusion_accounting.openai_model', 'gpt-5.4-mini')
|
|
|
|
def _format_tools(self, tools):
|
|
formatted = []
|
|
for tool in tools:
|
|
formatted.append({
|
|
'type': 'function',
|
|
'function': {
|
|
'name': tool['name'],
|
|
'description': tool['description'],
|
|
'parameters': tool.get('parameters', {'type': 'object', 'properties': {}}),
|
|
},
|
|
})
|
|
return formatted
|
|
|
|
def _is_reasoning_model(self, model):
|
|
return model.startswith('o1') or model.startswith('o3') or model.startswith('o4')
|
|
|
|
def call_with_tools(self, system_prompt, messages, tools=None):
|
|
client = self._get_client()
|
|
model = self._get_model_name()
|
|
is_reasoning = self._is_reasoning_model(model)
|
|
|
|
if is_reasoning:
|
|
api_messages = [{'role': 'developer', 'content': system_prompt}]
|
|
else:
|
|
api_messages = [{'role': 'system', 'content': system_prompt}]
|
|
for msg in messages:
|
|
if msg['role'] in ('user', 'assistant', 'tool'):
|
|
api_messages.append(msg)
|
|
|
|
kwargs = {
|
|
'model': model,
|
|
'messages': api_messages,
|
|
}
|
|
if is_reasoning:
|
|
kwargs['max_completion_tokens'] = 16384
|
|
kwargs['reasoning_effort'] = 'medium'
|
|
else:
|
|
kwargs['max_tokens'] = 4096
|
|
|
|
if tools:
|
|
kwargs['tools'] = self._format_tools(tools)
|
|
|
|
try:
|
|
response = client.chat.completions.create(**kwargs)
|
|
except Exception as e:
|
|
_logger.error("OpenAI API error: %s", e)
|
|
raise UserError(_("OpenAI API error: %s", str(e)))
|
|
|
|
choice = response.choices[0]
|
|
message = choice.message
|
|
|
|
tool_calls = []
|
|
if message.tool_calls:
|
|
for tc in message.tool_calls:
|
|
try:
|
|
args = json.loads(tc.function.arguments)
|
|
except (json.JSONDecodeError, TypeError):
|
|
_logger.warning("Malformed tool args from OpenAI: %s", tc.function.arguments)
|
|
args = {}
|
|
tool_calls.append({
|
|
'id': tc.id,
|
|
'name': tc.function.name,
|
|
'arguments': args,
|
|
})
|
|
|
|
return {
|
|
'text': message.content or '',
|
|
'tool_calls': tool_calls if tool_calls else None,
|
|
'tokens_in': response.usage.prompt_tokens,
|
|
'tokens_out': response.usage.completion_tokens,
|
|
'stop_reason': choice.finish_reason,
|
|
'raw_message': message,
|
|
}
|
|
|
|
def append_tool_results(self, messages, ai_response, tool_results):
|
|
raw_msg = ai_response.get('raw_message')
|
|
assistant_msg = {'role': 'assistant', 'content': raw_msg.content or ''}
|
|
if raw_msg.tool_calls:
|
|
assistant_msg['tool_calls'] = [
|
|
{
|
|
'id': tc.id,
|
|
'type': 'function',
|
|
'function': {
|
|
'name': tc.function.name,
|
|
'arguments': tc.function.arguments,
|
|
},
|
|
}
|
|
for tc in raw_msg.tool_calls
|
|
]
|
|
messages.append(assistant_msg)
|
|
|
|
for tr in tool_results:
|
|
messages.append({
|
|
'role': 'tool',
|
|
'tool_call_id': tr['tool_call_id'],
|
|
'content': tr['result'],
|
|
})
|
|
|
|
return messages
|