github/DB-GPT
1
0
Fork 0
mirror of https://github.com/csunny/DB-GPT.git synced 2025-07-22 11:51:42 +00:00
Code Issues Packages Projects Releases Wiki Activity

refactor: Modify default webserver port to 5670 (#1410)

Browse Source
This commit is contained in:
Fangyin Cheng 2024-04-12 11:47:24 +08:00 committed by GitHub
parent aea575e0b4
commit c3ae1915d2
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
26 changed files with 58 additions and 62 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
.env.template
View File

@ -10,7 +10,7 @@
#*******************************************************************# #*******************************************************************#
#** Webserver Port **# #** Webserver Port **#
#*******************************************************************# #*******************************************************************#
WEB_SERVER_PORT=7860 # DBGPT_WEBSERVER_PORT=5670
#*******************************************************************# #*******************************************************************#
#*** LLM PROVIDER ***# #*** LLM PROVIDER ***#

2
dbgpt/_private/config.py
View File

@ -26,7 +26,7 @@ class Config(metaclass=Singleton):
# Gradio language version: en, zh # Gradio language version: en, zh
self.LANGUAGE = os.getenv("LANGUAGE", "en") self.LANGUAGE = os.getenv("LANGUAGE", "en")
self.WEB_SERVER_PORT = int(os.getenv("WEB_SERVER_PORT", 5000)) self.DBGPT_WEBSERVER_PORT = int(os.getenv("DBGPT_WEBSERVER_PORT", 5670))
self.debug_mode = False self.debug_mode = False
self.skip_reprompt = False self.skip_reprompt = False

10
dbgpt/agent/expand/retrieve_summary_assistant_agent.py
View File

@ -254,14 +254,10 @@ class RetrieveSummaryAssistantAgent(ConversableAgent):
reply_message.success = is_success reply_message.success = is_success
return reply_message return reply_message
async def verify( async def correctness_check(
self, self, message: AgentMessage
message: AgentMessage,
sender: Agent,
reviewer: Optional[Agent] = None,
**kwargs,
) -> Tuple[bool, Optional[str]]: ) -> Tuple[bool, Optional[str]]:
"""Verify the correctness of the message.""" """Verify the correctness of the results."""
action_report = message.action_report action_report = message.action_report
task_result = "" task_result = ""
if action_report: if action_report:

4
dbgpt/app/dbgpt_server.py
View File

@ -140,9 +140,9 @@ def initialize_app(param: WebServerParameters = None, args: List[str] = None):
model_name = param.model_name or CFG.LLM_MODEL model_name = param.model_name or CFG.LLM_MODEL
param.model_name = model_name param.model_name = model_name
param.port = param.port or CFG.WEB_SERVER_PORT param.port = param.port or CFG.DBGPT_WEBSERVER_PORT
if not param.port: if not param.port:
param.port = 5000 param.port = 5670
print(param) print(param)

2
dbgpt/app/knowledge/_cli/knowledge_cli.py
View File

@ -6,7 +6,7 @@ import click
from dbgpt.configs.model_config import DATASETS_DIR from dbgpt.configs.model_config import DATASETS_DIR
_DEFAULT_API_ADDRESS: str = "http://127.0.0.1:5000" _DEFAULT_API_ADDRESS: str = "http://127.0.0.1:5670"
API_ADDRESS: str = _DEFAULT_API_ADDRESS API_ADDRESS: str = _DEFAULT_API_ADDRESS
logger = logging.getLogger("dbgpt_cli") logger = logging.getLogger("dbgpt_cli")

10
dbgpt/client/client.py
View File

@ -61,7 +61,7 @@ class Client:
Args: Args:
api_base: Optional[str], a full URL for the DB-GPT API. api_base: Optional[str], a full URL for the DB-GPT API.
Defaults to the `http://localhost:5000/api/v2`. Defaults to the `http://localhost:5670/api/v2`.
api_key: Optional[str], The dbgpt api key to use for authentication. api_key: Optional[str], The dbgpt api key to use for authentication.
Defaults to None. Defaults to None.
timeout: Optional[httpx._types.TimeoutTypes]: The timeout to use. timeout: Optional[httpx._types.TimeoutTypes]: The timeout to use.
@ -77,14 +77,14 @@ class Client:
from dbgpt.client import Client from dbgpt.client import Client
DBGPT_API_BASE = "http://localhost:5000/api/v2" DBGPT_API_BASE = "http://localhost:5670/api/v2"
DBGPT_API_KEY = "dbgpt" DBGPT_API_KEY = "dbgpt"
client = Client(api_base=DBGPT_API_BASE, api_key=DBGPT_API_KEY) client = Client(api_base=DBGPT_API_BASE, api_key=DBGPT_API_KEY)
client.chat(model="chatgpt_proxyllm", messages="Hello?") client.chat(model="chatgpt_proxyllm", messages="Hello?")
""" """
if not api_base: if not api_base:
api_base = os.getenv( api_base = os.getenv(
"DBGPT_API_BASE", f"http://localhost:5000/{CLIENT_API_PATH}/{version}" "DBGPT_API_BASE", f"http://localhost:5670/{CLIENT_API_PATH}/{version}"
) )
if not api_key: if not api_key:
api_key = os.getenv("DBGPT_API_KEY") api_key = os.getenv("DBGPT_API_KEY")
@ -146,7 +146,7 @@ class Client:
from dbgpt.client import Client from dbgpt.client import Client
DBGPT_API_BASE = "http://localhost:5000/api/v2" DBGPT_API_BASE = "http://localhost:5670/api/v2"
DBGPT_API_KEY = "dbgpt" DBGPT_API_KEY = "dbgpt"
client = Client(api_base=DBGPT_API_BASE, api_key=DBGPT_API_KEY) client = Client(api_base=DBGPT_API_BASE, api_key=DBGPT_API_KEY)
res = await client.chat(model="chatgpt_proxyllm", messages="Hello?") res = await client.chat(model="chatgpt_proxyllm", messages="Hello?")
@ -222,7 +222,7 @@ class Client:
from dbgpt.client import Client from dbgpt.client import Client
DBGPT_API_BASE = "http://localhost:5000/api/v2" DBGPT_API_BASE = "http://localhost:5670/api/v2"
DBGPT_API_KEY = "dbgpt" DBGPT_API_KEY = "dbgpt"
client = Client(api_base=DBGPT_API_BASE, api_key=DBGPT_API_KEY) client = Client(api_base=DBGPT_API_BASE, api_key=DBGPT_API_KEY)
res = await client.chat_stream(model="chatgpt_proxyllm", messages="Hello?") res = await client.chat_stream(model="chatgpt_proxyllm", messages="Hello?")

2
dbgpt/model/cluster/worker/manager.py
View File

@ -1022,7 +1022,7 @@ def initialize_worker_manager_in_client(
model_path: str = None, model_path: str = None,
run_locally: bool = True, run_locally: bool = True,
controller_addr: str = None, controller_addr: str = None,
local_port: int = 5000, local_port: int = 5670,
embedding_model_name: str = None, embedding_model_name: str = None,
embedding_model_path: str = None, embedding_model_path: str = None,
start_listener: Callable[["WorkerManager"], None] = None, start_listener: Callable[["WorkerManager"], None] = None,

2
dbgpt/util/benchmarks/llm/llm_benchmarks.py
View File

@ -23,7 +23,7 @@ model_path = LLM_MODEL_CONFIG[model_name]
# or vllm # or vllm
model_type = "huggingface" model_type = "huggingface"
controller_addr = "http://127.0.0.1:5000" controller_addr = "http://127.0.0.1:5670"
result_csv_file = None result_csv_file = None

6
dbgpt/util/command_utils.py
View File

@ -66,7 +66,7 @@ def _run_current_with_gunicorn(app: str, config_path: str, kwargs: Dict):
env_to_app.update(os.environ) env_to_app.update(os.environ)
app_env = EnvArgumentParser._kwargs_to_env_key_value(kwargs) app_env = EnvArgumentParser._kwargs_to_env_key_value(kwargs)
env_to_app.update(app_env) env_to_app.update(app_env)
cmd = f"uvicorn {app} --host 0.0.0.0 --port 5000" cmd = f"uvicorn {app} --host 0.0.0.0 --port 5670"
if "windows" in platform.system().lower(): if "windows" in platform.system().lower():
raise Exception("Not support on windows") raise Exception("Not support on windows")
else: # macOS, Linux, and other Unix-like systems else: # macOS, Linux, and other Unix-like systems
@ -137,8 +137,8 @@ def _get_ports_by_cmdline_part(service_keys: List[str]) -> List[int]:
except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess): except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess):
pass pass
# Sort ports with preference for 8000 and 5000 # Sort ports with preference for 8000 and 5670
ports.sort(key=lambda x: (x != 8000, x != 5000, x)) ports.sort(key=lambda x: (x != 8000, x != 5670, x))
return ports return ports

2
docker-compose.yml
View File

@ -36,7 +36,7 @@ services:
env_file: env_file:
- .env.template - .env.template
ports: ports:
- 5000:5000/tcp - 5670:5670/tcp
# webserver may be failed, it must wait all sqls in /docker-entrypoint-initdb.d execute finish. # webserver may be failed, it must wait all sqls in /docker-entrypoint-initdb.d execute finish.
restart: unless-stopped restart: unless-stopped
networks: networks:

2
docker/base/Dockerfile
View File

@ -62,6 +62,6 @@ RUN (if [ "${LANGUAGE}" = "zh" ]; \
fi;) fi;)
ENV PYTHONPATH "/app:$PYTHONPATH" ENV PYTHONPATH "/app:$PYTHONPATH"
EXPOSE 5000 EXPOSE 5670
CMD ["dbgpt", "start", "webserver"] CMD ["dbgpt", "start", "webserver"]

6
docs/docs/api/app.md
View File

@ -30,7 +30,7 @@ import TabItem from '@theme/TabItem';
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
APP_ID={YOUR_APP_ID} APP_ID={YOUR_APP_ID}
curl -X POST "http://localhost:5000/api/v2/chat/completions" \ curl -X POST "http://localhost:5670/api/v2/chat/completions" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
-H "accept: application/json" \ -H "accept: application/json" \
-H "Content-Type: application/json" \ -H "Content-Type: application/json" \
@ -87,7 +87,7 @@ GET /api/v2/serve/apps/{app_id}
```shell ```shell
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
APP_ID={YOUR_APP_ID} APP_ID={YOUR_APP_ID}
curl -X GET "http://localhost:5000/api/v2/serve/apps/$APP_ID" -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET "http://localhost:5670/api/v2/serve/apps/$APP_ID" -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>
@ -139,7 +139,7 @@ GET /api/v2/serve/apps
```shell ```shell
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
curl -X GET 'http://localhost:5000/api/v2/serve/apps' -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET 'http://localhost:5670/api/v2/serve/apps' -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>

4
docs/docs/api/chat.md
View File

@ -30,7 +30,7 @@ import TabItem from '@theme/TabItem';
```shell ```shell
DBGPT_API_KEY="dbgpt" DBGPT_API_KEY="dbgpt"
curl -X POST "http://localhost:5000/api/v2/chat/completions" \ curl -X POST "http://localhost:5670/api/v2/chat/completions" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
-H "accept: application/json" \ -H "accept: application/json" \
-H "Content-Type: application/json" \ -H "Content-Type: application/json" \
@ -94,7 +94,7 @@ data: [DONE]
```shell ```shell
DBGPT_API_KEY="dbgpt" DBGPT_API_KEY="dbgpt"
curl -X POST "http://localhost:5000/api/v2/chat/completions" \ curl -X POST "http://localhost:5670/api/v2/chat/completions" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
-H "accept: application/json" \ -H "accept: application/json" \
-H "Content-Type: application/json" \ -H "Content-Type: application/json" \

8
docs/docs/api/datasource.md
View File

@ -30,7 +30,7 @@ import TabItem from '@theme/TabItem';
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
DB_NAME="{your_db_name}" DB_NAME="{your_db_name}"
curl -X POST "http://localhost:5000/api/v2/chat/completions" \ curl -X POST "http://localhost:5670/api/v2/chat/completions" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
-H "accept: application/json" \ -H "accept: application/json" \
-H "Content-Type: application/json" \ -H "Content-Type: application/json" \
@ -126,7 +126,7 @@ DELETE /api/v2/serve/datasources
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
DATASOURCE_ID={YOUR_DATASOURCE_ID} DATASOURCE_ID={YOUR_DATASOURCE_ID}
curl -X DELETE "http://localhost:5000/api/v2/serve/datasources/$DATASOURCE_ID" \ curl -X DELETE "http://localhost:5670/api/v2/serve/datasources/$DATASOURCE_ID" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
``` ```
@ -180,7 +180,7 @@ GET /api/v2/serve/datasources/{datasource_id}
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
DATASOURCE_ID={YOUR_DATASOURCE_ID} DATASOURCE_ID={YOUR_DATASOURCE_ID}
curl -X GET "http://localhost:5000/api/v2/serve/datasources/$DATASOURCE_ID" -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET "http://localhost:5670/api/v2/serve/datasources/$DATASOURCE_ID" -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>
@ -234,7 +234,7 @@ GET /api/v2/serve/datasources
```shell ```shell
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
curl -X GET "http://localhost:5000/api/v2/serve/datasources" -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET "http://localhost:5670/api/v2/serve/datasources" -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>

8
docs/docs/api/flow.md
View File

@ -30,7 +30,7 @@ import TabItem from '@theme/TabItem';
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
FLOW_ID={YOUR_FLOW_ID} FLOW_ID={YOUR_FLOW_ID}
curl -X POST "http://localhost:5000/api/v2/chat/completions" \ curl -X POST "http://localhost:5670/api/v2/chat/completions" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
-H "accept: application/json" \ -H "accept: application/json" \
-H "Content-Type: application/json" \ -H "Content-Type: application/json" \
@ -107,7 +107,7 @@ DELETE /api/v2/serve/awel/flows
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
FLOW_ID={YOUR_FLOW_ID} FLOW_ID={YOUR_FLOW_ID}
curl -X DELETE "http://localhost:5000/api/v2/serve/awel/flows/$FLOW_ID" \ curl -X DELETE "http://localhost:5670/api/v2/serve/awel/flows/$FLOW_ID" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
``` ```
@ -161,7 +161,7 @@ GET /api/v2/serve/awel/flows/{flow_id}
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
FLOW_ID={YOUR_FLOW_ID} FLOW_ID={YOUR_FLOW_ID}
curl -X GET "http://localhost:5000/api/v2/serve/awel/flows/$FLOW_ID" -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET "http://localhost:5670/api/v2/serve/awel/flows/$FLOW_ID" -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>
@ -215,7 +215,7 @@ GET /api/v2/serve/awel/flows
```shell ```shell
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
curl -X GET "http://localhost:5000/api/v2/serve/awel/flows" -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET "http://localhost:5670/api/v2/serve/awel/flows" -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>

2
docs/docs/api/introduction.md
View File

@ -15,7 +15,7 @@ All API requests should include your API key in an Authorization HTTP header as
Example with the DB-GPT API curl command: Example with the DB-GPT API curl command:
```bash ```bash
curl "http://localhost:5000/api/v2/chat/completions" \ curl "http://localhost:5670/api/v2/chat/completions" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
``` ```
Example with the DB-GPT Client Python package: Example with the DB-GPT Client Python package:

12
docs/docs/api/knowledge.md
View File

@ -30,7 +30,7 @@ import TabItem from '@theme/TabItem';
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
SPACE_NAME={YOUR_SPACE_NAME} SPACE_NAME={YOUR_SPACE_NAME}
curl -X POST "http://localhost:5000/api/v2/chat/completions" \ curl -X POST "http://localhost:5670/api/v2/chat/completions" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
-H "accept: application/json" \ -H "accept: application/json" \
-H "Content-Type: application/json" \ -H "Content-Type: application/json" \
@ -334,7 +334,7 @@ POST /api/v2/serve/knowledge/spaces
```shell ```shell
DBGPT_API_KEY="dbgpt" DBGPT_API_KEY="dbgpt"
curl --location --request POST 'http://localhost:5000/api/v2/serve/knowledge/spaces' \ curl --location --request POST 'http://localhost:5670/api/v2/serve/knowledge/spaces' \
--header 'Authorization: Bearer $DBGPT_API_KEY' \ --header 'Authorization: Bearer $DBGPT_API_KEY' \
--header 'Content-Type: application/json' \ --header 'Content-Type: application/json' \
--data-raw '{"desc": "for client space desc", "name": "test_space_2", "owner": "dbgpt", "vector_type": "Chroma" --data-raw '{"desc": "for client space desc", "name": "test_space_2", "owner": "dbgpt", "vector_type": "Chroma"
@ -410,7 +410,7 @@ PUT /api/v2/serve/knowledge/spaces
```shell ```shell
DBGPT_API_KEY="dbgpt" DBGPT_API_KEY="dbgpt"
curl --location --request PUT 'http://localhost:5000/api/v2/serve/knowledge/spaces' \ curl --location --request PUT 'http://localhost:5670/api/v2/serve/knowledge/spaces' \
--header 'Authorization: Bearer $DBGPT_API_KEY' \ --header 'Authorization: Bearer $DBGPT_API_KEY' \
--header 'Content-Type: application/json' \ --header 'Content-Type: application/json' \
--data-raw '{"desc": "for client space desc v2", "id": "49", "name": "test_space_2", "owner": "dbgpt", "vector_type": "Chroma" --data-raw '{"desc": "for client space desc v2", "id": "49", "name": "test_space_2", "owner": "dbgpt", "vector_type": "Chroma"
@ -493,7 +493,7 @@ DELETE /api/v2/serve/knowledge/spaces
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
SPACE_ID={YOUR_SPACE_ID} SPACE_ID={YOUR_SPACE_ID}
curl -X DELETE "http://localhost:5000/api/v2/serve/knowledge/spaces/$SPACE_ID" \ curl -X DELETE "http://localhost:5670/api/v2/serve/knowledge/spaces/$SPACE_ID" \
-H "Authorization: Bearer $DBGPT_API_KEY" \ -H "Authorization: Bearer $DBGPT_API_KEY" \
-H "accept: application/json" \ -H "accept: application/json" \
-H "Content-Type: application/json" \ -H "Content-Type: application/json" \
@ -548,7 +548,7 @@ GET /api/v2/serve/knowledge/spaces/{space_id}
```shell ```shell
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
SPACE_ID={YOUR_SPACE_ID} SPACE_ID={YOUR_SPACE_ID}
curl -X GET "http://localhost:5000/api/v2/serve/knowledge/spaces/$SPACE_ID" -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET "http://localhost:5670/api/v2/serve/knowledge/spaces/$SPACE_ID" -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>
@ -600,7 +600,7 @@ GET /api/v2/serve/knowledge/spaces
```shell ```shell
DBGPT_API_KEY=dbgpt DBGPT_API_KEY=dbgpt
curl -X GET 'http://localhost:5000/api/v2/serve/knowledge/spaces' -H "Authorization: Bearer $DBGPT_API_KEY" curl -X GET 'http://localhost:5670/api/v2/serve/knowledge/spaces' -H "Authorization: Bearer $DBGPT_API_KEY"
``` ```
</TabItem> </TabItem>

6
docs/docs/application/advanced_tutorial/api.md
View File

@ -27,7 +27,7 @@ print(completion.choices[0].message.content)
## Application service layer API ## Application service layer API
The service layer API refers to the API exposed on port 5000 after starting the webserver, which is mainly focused on the application layer. It can be divided into the following parts according to categories The service layer API refers to the API exposed on port 5670 after starting the webserver, which is mainly focused on the application layer. It can be divided into the following parts according to categories
- Chat API - Chat API
- Editor API - Editor API
@ -37,7 +37,7 @@ The service layer API refers to the API exposed on port 5000 after starting the
- Model API - Model API
:::info :::info
Note: After starting the webserver, open http://127.0.0.1:5000/docs to view details Note: After starting the webserver, open http://127.0.0.1:5670/docs to view details
Regarding the service layer API, in terms of strategy in the early days, we maintained the principle of minimum availability and openness. APIs that are stably exposed to the outside world will carry version information, such as Regarding the service layer API, in terms of strategy in the early days, we maintained the principle of minimum availability and openness. APIs that are stably exposed to the outside world will carry version information, such as
- /api/v1/ - /api/v1/
@ -164,5 +164,5 @@ Currently, due to frequent changes in Knowledge and Prompt, the relevant APIs ar
::: :::
More detailed interface parameters can be viewed at `http://127.0.0.1:5000/docs` More detailed interface parameters can be viewed at `http://127.0.0.1:5670/docs`

4
docs/docs/application/advanced_tutorial/cli.md
View File

@ -52,7 +52,7 @@ Usage: dbgpt knowledge [OPTIONS] COMMAND [ARGS]...
Options: Options:
--address TEXT Address of the Api server(If not set, try to read from --address TEXT Address of the Api server(If not set, try to read from
environment variable: API_ADDRESS). [default: environment variable: API_ADDRESS). [default:
http://127.0.0.1:5000] http://127.0.0.1:5670]
--help Show this message and exit. --help Show this message and exit.
Commands: Commands:
@ -374,7 +374,7 @@ INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
``` ```
#### Webserver command #### Webserver command
The front-end service can be started through `dbgpt start webserver`, the default port is 5000, and can be accessed through `http://127.0.0.1:5000` The front-end service can be started through `dbgpt start webserver`, the default port is 5670, and can be accessed through `http://127.0.0.1:5670`
```python ```python
~ dbgpt start webserver --help ~ dbgpt start webserver --help

2
docs/docs/awel/get_started.md
View File

@ -58,7 +58,7 @@ with DAG("simple_dag_example") as dag:
Before performing access verification, the project needs to be started first: `python dbgpt/app/dbgpt_server.py` Before performing access verification, the project needs to be started first: `python dbgpt/app/dbgpt_server.py`
```bash ```bash
% curl -X GET http://127.0.0.1:5000/api/v1/awel/trigger/examples/hello\?name\=zhangsan % curl -X GET http://127.0.0.1:5670/api/v1/awel/trigger/examples/hello\?name\=zhangsan
"Hello, zhangsan, your age is 18" "Hello, zhangsan, your age is 18"
``` ```

2
docs/docs/faq/install.md
View File

@ -15,7 +15,7 @@ You can try to use gradio's [network](https://github.com/gradio-app/gradio/blob/
import secrets import secrets
from gradio import networking from gradio import networking
token=secrets.token_urlsafe(32) token=secrets.token_urlsafe(32)
local_port=5000 local_port=5670
url = networking.setup_tunnel('0.0.0.0', local_port, token) url = networking.setup_tunnel('0.0.0.0', local_port, token)
print(f'Public url: {url}') print(f'Public url: {url}')
time.sleep(60 * 60 * 24) time.sleep(60 * 60 * 24)

12
docs/docs/installation/docker.md
View File

@ -44,7 +44,7 @@ You can view the specific usage through the command `bash docker/build_all_image
```python ```python
docker run --ipc host --gpus all -d \ docker run --ipc host --gpus all -d \
-p 5000:5000 \ -p 5670:5670 \
-e LOCAL_DB_TYPE=sqlite \ -e LOCAL_DB_TYPE=sqlite \
-e LOCAL_DB_PATH=data/default_sqlite.db \ -e LOCAL_DB_PATH=data/default_sqlite.db \
-e LLM_MODEL=vicuna-13b-v1.5 \ -e LLM_MODEL=vicuna-13b-v1.5 \
@ -53,7 +53,7 @@ docker run --ipc host --gpus all -d \
--name dbgpt \ --name dbgpt \
eosphorosai/dbgpt eosphorosai/dbgpt
``` ```
Open the browser and visit [http://localhost:5000](http://localhost:5000) Open the browser and visit [http://localhost:5670](http://localhost:5670)
- `-e LLM_MODEL=vicuna-13b-v1.5`, which means the base model uses `vicuna-13b-v1.5`. For more model usage, you can view the configuration in `/pilot/configs/model_config.LLM_MODEL_CONFIG`. - `-e LLM_MODEL=vicuna-13b-v1.5`, which means the base model uses `vicuna-13b-v1.5`. For more model usage, you can view the configuration in `/pilot/configs/model_config.LLM_MODEL_CONFIG`.
- `-v /data/models:/app/models`, specifies the model file to be mounted. The directory `/data/models` is mounted in `/app/models` of the container. Of course, it can be replaced with other paths. - `-v /data/models:/app/models`, specifies the model file to be mounted. The directory `/data/models` is mounted in `/app/models` of the container. Of course, it can be replaced with other paths.
@ -67,7 +67,7 @@ docker logs dbgpt -f
```python ```python
docker run --ipc host --gpus all -d -p 3306:3306 \ docker run --ipc host --gpus all -d -p 3306:3306 \
-p 5000:5000 \ -p 5670:5670 \
-e LOCAL_DB_HOST=127.0.0.1 \ -e LOCAL_DB_HOST=127.0.0.1 \
-e LOCAL_DB_PASSWORD=aa123456 \ -e LOCAL_DB_PASSWORD=aa123456 \
-e MYSQL_ROOT_PASSWORD=aa123456 \ -e MYSQL_ROOT_PASSWORD=aa123456 \
@ -77,7 +77,7 @@ docker run --ipc host --gpus all -d -p 3306:3306 \
--name db-gpt-allinone \ --name db-gpt-allinone \
db-gpt-allinone db-gpt-allinone
``` ```
Open the browser and visit [http://localhost:5000](http://localhost:5000) Open the browser and visit [http://localhost:5670](http://localhost:5670)
- `-e LLM_MODEL=vicuna-13b-v1.5`, which means the base model uses `vicuna-13b-v1.5`. For more model usage, you can view the configuration in `/pilot/configs/model_config.LLM_MODEL_CONFIG`. - `-e LLM_MODEL=vicuna-13b-v1.5`, which means the base model uses `vicuna-13b-v1.5`. For more model usage, you can view the configuration in `/pilot/configs/model_config.LLM_MODEL_CONFIG`.
- `-v /data/models:/app/models`, specifies the model file to be mounted. The directory `/data/models` is mounted in `/app/models` of the container. Of course, it can be replaced with other paths. - `-v /data/models:/app/models`, specifies the model file to be mounted. The directory `/data/models` is mounted in `/app/models` of the container. Of course, it can be replaced with other paths.
@ -92,7 +92,7 @@ docker logs db-gpt-allinone -f
PROXY_API_KEY="You api key" PROXY_API_KEY="You api key"
PROXY_SERVER_URL="https://api.openai.com/v1/chat/completions" PROXY_SERVER_URL="https://api.openai.com/v1/chat/completions"
docker run --gpus all -d -p 3306:3306 \ docker run --gpus all -d -p 3306:3306 \
-p 5000:5000 \ -p 5670:5670 \
-e LOCAL_DB_HOST=127.0.0.1 \ -e LOCAL_DB_HOST=127.0.0.1 \
-e LOCAL_DB_PASSWORD=aa123456 \ -e LOCAL_DB_PASSWORD=aa123456 \
-e MYSQL_ROOT_PASSWORD=aa123456 \ -e MYSQL_ROOT_PASSWORD=aa123456 \
@ -107,6 +107,6 @@ db-gpt-allinone
- `-e LLM_MODEL=proxyllm`, set the model to serve the third-party model service API, which can be openai or fastchat interface. - `-e LLM_MODEL=proxyllm`, set the model to serve the third-party model service API, which can be openai or fastchat interface.
- `-v /data/models/text2vec-large-chinese:/app/models/text2vec-large-chinese`, sets the knowledge base embedding model to `text2vec` - `-v /data/models/text2vec-large-chinese:/app/models/text2vec-large-chinese`, sets the knowledge base embedding model to `text2vec`
Open the browser and visit [http://localhost:5000](http://localhost:5000) Open the browser and visit [http://localhost:5670](http://localhost:5670)

2
docs/docs/installation/docker_compose.md
View File

@ -23,4 +23,4 @@ For more configuration content, you can view the `docker-compose.yml` file
## Visit ## Visit
Open the browser and visit [http://localhost:5000](http://localhost:5000) Open the browser and visit [http://localhost:5670](http://localhost:5670)

2
docs/docs/installation/sourcecode.md
View File

@ -458,4 +458,4 @@ python pilot/server/dbgpt_server.py
::: :::
## Visit website ## Visit website
Open the browser and visit [`http://localhost:5000`](http://localhost:5000) Open the browser and visit [`http://localhost:5670`](http://localhost:5670)

4
docs/docs/quickstart.md
View File

@ -168,13 +168,13 @@ python pilot/server/dbgpt_server.py
## Visit website ## Visit website
#### 1. Production model: #### 1. Production model:
Open the browser and visit [`http://localhost:5000`](http://localhost:5000) Open the browser and visit [`http://localhost:5670`](http://localhost:5670)
#### 2. Development mode: #### 2. Development mode:
``` ```
cd web & npm install cd web & npm install
cp .env.template .env cp .env.template .env
// set the API_BASE_URL to your DB-GPT server address, it usually is http://localhost:5000 // set the API_BASE_URL to your DB-GPT server address, it usually is http://localhost:5670
npm run dev npm run dev
``` ```
Open the browser and visit [`http://localhost:3000`](http://localhost:3000) Open the browser and visit [`http://localhost:3000`](http://localhost:3000)

2
examples/awel/simple_rag_rewrite_example.py
View File

@ -21,7 +21,7 @@
.. code-block:: shell .. code-block:: shell
DBGPT_SERVER="http://127.0.0.1:5000" DBGPT_SERVER="http://127.0.0.1:5555"
curl -X POST $DBGPT_SERVER/api/v1/awel/trigger/examples/rag/rewrite \ curl -X POST $DBGPT_SERVER/api/v1/awel/trigger/examples/rag/rewrite \
-H "Content-Type: application/json" -d '{ -H "Content-Type: application/json" -d '{
"query": "compare curry and james", "query": "compare curry and james",