DB-GPT v0.5.9 版本更新， 新增 Agent 模块开发文档、支持谷歌 gemma-2 模型等新特性

-- For deploy model cluster of DB-GPT(StorageModelRegistry)
CREATE TABLE IF NOT EXISTS `dbgpt_cluster_registry_instance` (
  `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'Auto increment id',
  `model_name` varchar(128) NOT NULL COMMENT 'Model name',
  `host` varchar(128) NOT NULL COMMENT 'Host of the model',
  `port` int(11) NOT NULL COMMENT 'Port of the model',
  `weight` float DEFAULT 1.0 COMMENT 'Weight of the model',
  `check_healthy` tinyint(1) DEFAULT 1 COMMENT 'Whether to check the health of the model',
  `healthy` tinyint(1) DEFAULT 0 COMMENT 'Whether the model is healthy',
  `enabled` tinyint(1) DEFAULT 1 COMMENT 'Whether the model is enabled',
  `prompt_template` varchar(128) DEFAULT NULL COMMENT 'Prompt template for the model instance',
  `last_heartbeat` datetime DEFAULT NULL COMMENT 'Last heartbeat time of the model instance',
  `user_name` varchar(128) DEFAULT NULL COMMENT 'User name',
  `sys_code` varchar(128) DEFAULT NULL COMMENT 'System code',
  `gmt_created` datetime DEFAULT CURRENT_TIMESTAMP COMMENT 'Record creation time',
  `gmt_modified` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT 'Record update time',
  PRIMARY KEY (`id`),
  UNIQUE KEY `uk_model_instance` (`model_name`, `host`, `port`, `sys_code`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8mb4 COMMENT='Cluster model instance table, for registering and managing model instances';

dbgpt start controller \
--port 8000 \
--registry_type database \
--registry_db_type mysql \
--registry_db_name dbgpt \
--registry_db_host 127.0.0.1 \
--registry_db_port 3306 \
--registry_db_user root \
--registry_db_password aa123456

dbgpt start controller \
--port 8000 \
--registry_type database \
--registry_db_type mysql \
--registry_db_name dbgpt \
--registry_db_host 127.0.0.1 \
--registry_db_port 3306 \
--registry_db_user root \
--registry_db_password aa123456

dbgpt start worker --model_name glm-4-9b-chat \
--model_path app/models/glm-4-9b-chat \
--port 8001 \
--controller_addr "http://server1:8000,http://server2:8000"

dbgpt start worker --model_name text2vec \
--model_path app/models/text2vec-large-chinese \
--worker_type text2vec \
--port 8003 \
--controller_addr "http://server1:8000,http://server2:8000"

LLM_MODEL=glm-4-9b-chat EMBEDDING_MODEL=text2vec \
dbgpt start webserver \
--light \
--remote_embedding \
--controller_addr "http://server1:8000,http://server2:8000"

pip install -U "transformers>=4.42.1"

LLM_MODEL=gemma-2-9b-it
# LLM_MODEL=gemma-2-27b-it
## 下面配置开启量化
# QUANTIZE_8bit=False
# QUANTIZE_4bit=False

LLM_MODEL=deepseek-coder-v2-lite-instruct
# LLM_MODEL=deepseek-coder-v2-instruct

EMBEDDING_MODEL=proxy_tongyi
proxy_tongyi_proxy_backend=text-embedding-v1
proxy_tongyi_proxy_api_key={your-api-key}