feat: add supports for LM Studio

This commit is contained in:
Junyan Qin
2025-02-01 12:01:07 +08:00
parent e4518ebcf1
commit d0eeb2b304
6 changed files with 72 additions and 3 deletions

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@@ -0,0 +1,23 @@
from __future__ import annotations
from .. import migration
@migration.migration_class("lmstudio-config", 22)
class LmStudioConfigMigration(migration.Migration):
"""迁移"""
async def need_migrate(self) -> bool:
"""判断当前环境是否需要运行此迁移"""
return 'lmstudio-chat-completions' not in self.ap.provider_cfg.data['requester']
async def run(self):
"""执行迁移"""
self.ap.provider_cfg.data['requester']['lmstudio-chat-completions'] = {
"base-url": "http://127.0.0.1:1234/v1",
"args": {},
"timeout": 120
}
await self.ap.provider_cfg.dump_config()

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@@ -8,7 +8,7 @@ from ..migrations import m001_sensitive_word_migration, m002_openai_config_migra
from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config
from ..migrations import m015_gitee_ai_config, m016_dify_service_api, m017_dify_api_timeout_params, m018_xai_config, m019_zhipuai_config
from ..migrations import m020_wecom_config, m021_lark_config
from ..migrations import m020_wecom_config, m021_lark_config, m022_lmstudio_config
@stage.stage_class("MigrationStage")

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@@ -6,7 +6,7 @@ from . import entities, requester
from ...core import app
from . import token
from .requesters import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl, xaichatcmpl, zhipuaichatcmpl
from .requesters import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl, xaichatcmpl, zhipuaichatcmpl, lmstudiochatcmpl
FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list"
@@ -109,4 +109,4 @@ class ModelManager:
self.model_list.append(model_info)
except Exception as e:
self.ap.logger.error(f"初始化模型 {model['name']} 失败: {e} ,请检查配置文件")
self.ap.logger.error(f"初始化模型 {model['name']} 失败: {type(e)} {e} ,请检查配置文件")

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@@ -0,0 +1,21 @@
from __future__ import annotations
import openai
from . import chatcmpl
from .. import requester
from ....core import app
@requester.requester_class("lmstudio-chat-completions")
class LmStudioChatCompletions(chatcmpl.OpenAIChatCompletions):
"""LMStudio ChatCompletion API 请求器"""
client: openai.AsyncClient
requester_cfg: dict
def __init__(self, ap: app.Application):
self.ap = ap
self.requester_cfg = self.ap.provider_cfg.data['requester']['lmstudio-chat-completions']