feat: add BurnCloud as new AI model provider (#2890)

Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
BurnCloud.com
2025-09-10 18:58:25 +08:00
committed by GitHub
parent 6e304c230b
commit d22023c148
4 changed files with 443 additions and 0 deletions

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@@ -0,0 +1,61 @@
[system]
# Load language from environment variable(It is set by the hook)
language = "${env:DBGPT_LANG:-zh}"
api_keys = []
encrypt_key = "your_secret_key"
# Server Configurations
[service.web]
host = "0.0.0.0"
port = 5670
[service.web.database]
type = "sqlite"
path = "pilot/meta_data/dbgpt.db"
[service.model.worker]
host = "127.0.0.1"
[rag.storage]
[rag.storage.vector]
type = "chroma"
persist_path = "pilot/data"
# Model Configurations
[models]
# Claude Models
[[models.llms]]
name = "claude-sonnet-4-20250514"
provider = "proxy/burncloud"
api_key = "${env:BURNCLOUD_API_KEY}"
[[models.llms]]
name = "claude-3-7-sonnet-20250219"
provider = "proxy/burncloud"
api_key = "${env:BURNCLOUD_API_KEY}"
[[models.llms]]
name = "claude-opus-4-20250514"
provider = "proxy/burncloud"
api_key = "${env:BURNCLOUD_API_KEY}"
[[models.llms]]
name = "gpt-5"
provider = "proxy/burncloud"
api_key = "${env:BURNCLOUD_API_KEY}"
[[models.llms]]
name = "gpt-5-chat-latest"
provider = "proxy/burncloud"
api_key = "${env:BURNCLOUD_API_KEY}"
# Gemini Models
[[models.llms]]
name = "gemini-2.5-pro"
provider = "proxy/burncloud"
api_key = "${env:BURNCLOUD_API_KEY}"
# DeepSeek Models
[[models.llms]]
name = "DeepSeek-V3"
provider = "proxy/burncloud"
api_key = "${env:BURNCLOUD_API_KEY}"

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@@ -105,6 +105,7 @@ LLM_MODEL_CONFIG = {
# https://docs.siliconflow.cn/quickstart
"siliconflow_proxyllm": "siliconflow_proxyllm",
"gitee_proxyllm": "gitee_proxyllm",
"burncloud_proxyllm": "burncloud_proxyllm",
"llama-2-7b": os.path.join(MODEL_PATH, "Llama-2-7b-chat-hf"),
"llama-2-13b": os.path.join(MODEL_PATH, "Llama-2-13b-chat-hf"),
"llama-2-70b": os.path.join(MODEL_PATH, "Llama-2-70b-chat-hf"),

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@@ -4,6 +4,7 @@ from typing import TYPE_CHECKING
if TYPE_CHECKING:
from dbgpt.model.proxy.llms.aimlapi import AimlapiLLMClient
from dbgpt.model.proxy.llms.burncloud import BurnCloudLLMClient
from dbgpt.model.proxy.llms.chatgpt import OpenAILLMClient
from dbgpt.model.proxy.llms.claude import ClaudeLLMClient
from dbgpt.model.proxy.llms.deepseek import DeepseekLLMClient
@@ -23,6 +24,7 @@ if TYPE_CHECKING:
def __lazy_import(name):
module_path = {
"OpenAILLMClient": "dbgpt.model.proxy.llms.chatgpt",
"BurnCloudLLMClient": "dbgpt.model.proxy.llms.burncloud",
"ClaudeLLMClient": "dbgpt.model.proxy.llms.claude",
"GeminiLLMClient": "dbgpt.model.proxy.llms.gemini",
"AimlapiLLMClient": "dbgpt.model.proxy.llms.aimlapi",
@@ -52,6 +54,7 @@ def __getattr__(name):
__all__ = [
"OpenAILLMClient",
"BurnCloudLLMClient",
"ClaudeLLMClient",
"GeminiLLMClient",
"TongyiLLMClient",

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@@ -0,0 +1,378 @@
import os
from concurrent.futures import Executor
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Dict, Optional, Type, Union, cast
from dbgpt.core import ModelMetadata
from dbgpt.core.awel.flow import (
TAGS_ORDER_HIGH,
ResourceCategory,
auto_register_resource,
)
from dbgpt.model.proxy.llms.proxy_model import ProxyModel, parse_model_request
from dbgpt.util.i18n_utils import _
from ..base import (
AsyncGenerateStreamFunction,
GenerateStreamFunction,
register_proxy_model_adapter,
)
from .chatgpt import OpenAICompatibleDeployModelParameters, OpenAILLMClient
if TYPE_CHECKING:
from httpx._types import ProxiesTypes
from openai import AsyncAzureOpenAI, AsyncOpenAI
ClientType = Union[AsyncAzureOpenAI, AsyncOpenAI]
_DEFAULT_MODEL = "claude-sonnet-4-20250514"
@auto_register_resource(
label=_("BurnCloud Proxy LLM"),
category=ResourceCategory.LLM_CLIENT,
tags={"order": TAGS_ORDER_HIGH},
description=_("BurnCloud proxy LLM configuration."),
documentation_url="https://ai.burncloud.com/",
show_in_ui=False,
)
@dataclass
class BurnCloudDeployModelParameters(OpenAICompatibleDeployModelParameters):
"""Deploy model parameters for BurnCloud."""
provider: str = "proxy/burncloud"
api_base: Optional[str] = field(
default="${env:BURNCLOUD_API_BASE:-https://ai.burncloud.com/v1}",
metadata={
"help": _("The base url of the BurnCloud API."),
},
)
api_key: Optional[str] = field(
default="${env:BURNCLOUD_API_KEY}",
metadata={
"help": _("The API key of the BurnCloud API."),
"tags": "privacy",
},
)
async def burncloud_generate_stream(
model: ProxyModel, tokenizer, params, device, context_len=2048
):
client: BurnCloudLLMClient = cast(BurnCloudLLMClient, model.proxy_llm_client)
request = parse_model_request(params, client.default_model, stream=True)
async for r in client.generate_stream(request):
yield r
class BurnCloudLLMClient(OpenAILLMClient):
"""BurnCloud LLM Client.
BurnCloud's API is compatible with OpenAI's API, so we inherit from OpenAILLMClient.
API Reference: https://ai.burncloud.com/v1/chat/completions
"""
def __init__(
self,
api_key: Optional[str] = None,
api_base: Optional[str] = None,
api_type: Optional[str] = None,
api_version: Optional[str] = None,
model: Optional[str] = _DEFAULT_MODEL,
proxies: Optional["ProxiesTypes"] = None,
timeout: Optional[int] = 240,
model_alias: Optional[str] = _DEFAULT_MODEL,
context_length: Optional[int] = None,
openai_client: Optional["ClientType"] = None,
openai_kwargs: Optional[Dict[str, Any]] = None,
**kwargs,
):
api_base = (
api_base or os.getenv("BURNCLOUD_API_BASE") or "https://ai.burncloud.com/v1"
)
api_key = api_key or os.getenv("BURNCLOUD_API_KEY")
model = model or _DEFAULT_MODEL
# Set context length based on model
if not context_length:
if any(
x in model for x in ["claude-opus-4", "claude-sonnet-4", "gpt-5", "o3"]
):
context_length = 200 * 1024 # 200K
elif any(
x in model for x in ["claude-3", "gpt-4", "gemini-2.5", "DeepSeek-V3"]
):
context_length = 128 * 1024 # 128K
else:
context_length = 32 * 1024 # Default 32K
if not api_key:
raise ValueError(
"BurnCloud API key is required, please set 'BURNCLOUD_API_KEY' in "
"environment variable or pass it to the client."
)
super().__init__(
api_key=api_key,
api_base=api_base,
api_type=api_type,
api_version=api_version,
model=model,
proxies=proxies,
timeout=timeout,
model_alias=model_alias,
context_length=context_length,
openai_client=openai_client,
openai_kwargs=openai_kwargs,
**kwargs,
)
def check_sdk_version(self, version: str) -> None:
if not version >= "1.0":
raise ValueError(
"BurnCloud API requires openai>=1.0, please upgrade it by "
"`pip install --upgrade 'openai>=1.0'`"
)
@property
def default_model(self) -> str:
model = self._model
if not model:
model = _DEFAULT_MODEL
return model
@classmethod
def param_class(cls) -> Type[BurnCloudDeployModelParameters]:
"""Get the deploy model parameters class."""
return BurnCloudDeployModelParameters
@classmethod
def new_client(
cls,
model_params: BurnCloudDeployModelParameters,
default_executor: Optional[Executor] = None,
) -> "BurnCloudLLMClient":
"""Create a new client with the model parameters."""
return cls(
api_key=model_params.api_key,
api_base=model_params.api_base,
api_type=model_params.api_type,
api_version=model_params.api_version,
model=model_params.real_provider_model_name,
proxy=model_params.http_proxy,
model_alias=model_params.real_provider_model_name,
context_length=max(model_params.context_length or 8192, 8192),
)
@classmethod
def generate_stream_function(
cls,
) -> Optional[Union[GenerateStreamFunction, AsyncGenerateStreamFunction]]:
"""Get the generate stream function."""
return burncloud_generate_stream
register_proxy_model_adapter(
BurnCloudLLMClient,
supported_models=[
# Claude models
ModelMetadata(
model="claude-opus-4-1-20250805",
context_length=200 * 1024,
max_output_length=8 * 1024,
description="Claude Opus 4.1 by Anthropic via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="claude-sonnet-4-20250514",
context_length=200 * 1024,
max_output_length=8 * 1024,
description="Claude Sonnet 4 by Anthropic via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="claude-opus-4-20250514",
context_length=200 * 1024,
max_output_length=8 * 1024,
description="Claude Opus 4 by Anthropic via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="claude-3-7-sonnet-20250219",
context_length=200 * 1024,
max_output_length=8 * 1024,
description="Claude 3.7 Sonnet by Anthropic via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="claude-3-5-sonnet-20241022",
context_length=200 * 1024,
max_output_length=8 * 1024,
description="Claude 3.5 Sonnet by Anthropic via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
# GPT models
ModelMetadata(
model="gpt-5-chat-latest",
context_length=200 * 1024,
max_output_length=16 * 1024,
description="GPT-5 Chat Latest by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gpt-5",
context_length=200 * 1024,
max_output_length=16 * 1024,
description="GPT-5 by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gpt-4.1",
context_length=128 * 1024,
max_output_length=16 * 1024,
description="GPT-4.1 by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gpt-4.1-mini",
context_length=128 * 1024,
max_output_length=16 * 1024,
description="GPT-4.1 Mini by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="chatgpt-4o-latest",
context_length=128 * 1024,
max_output_length=16 * 1024,
description="ChatGPT-4o Latest by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gpt-4o-2024-11-20",
context_length=128 * 1024,
max_output_length=16 * 1024,
description="GPT-4o by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gpt-4o",
context_length=128 * 1024,
max_output_length=16 * 1024,
description="GPT-4o by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gpt-4o-mini",
context_length=128 * 1024,
max_output_length=16 * 1024,
description="GPT-4o Mini by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gpt-image-1",
context_length=32 * 1024,
max_output_length=4 * 1024,
description="GPT Image Generation Model via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=False,
),
ModelMetadata(
model="text-embedding-3-large",
context_length=8 * 1024,
max_output_length=3072,
description="Text Embedding 3 Large by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=False,
),
# Reasoning models
ModelMetadata(
model="o3",
context_length=200 * 1024,
max_output_length=100 * 1024,
description="o3 Reasoning model by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="o3-mini",
context_length=128 * 1024,
max_output_length=65 * 1024,
description="o3-mini Reasoning model by OpenAI via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
# Gemini models
ModelMetadata(
model="gemini-2.5-pro",
context_length=128 * 1024,
max_output_length=8 * 1024,
description="Gemini 2.5 Pro by Google via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gemini-2.5-flash",
context_length=128 * 1024,
max_output_length=8 * 1024,
description="Gemini 2.5 Flash by Google via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gemini-2.5-flash-nothink",
context_length=128 * 1024,
max_output_length=8 * 1024,
description="Gemini 2.5 Flash No Think by Google via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gemini-2.5-pro-search",
context_length=128 * 1024,
max_output_length=8 * 1024,
description="Gemini 2.5 Pro Search by Google via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gemini-2.5-pro-preview-06-05",
context_length=128 * 1024,
max_output_length=8 * 1024,
description="Gemini 2.5 Pro Preview by Google via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
ModelMetadata(
model="gemini-2.5-pro-preview-05-06",
context_length=128 * 1024,
max_output_length=8 * 1024,
description="Gemini 2.5 Pro Preview by Google via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
# DeepSeek model
ModelMetadata(
model="DeepSeek-V3",
context_length=128 * 1024,
max_output_length=8 * 1024,
description="DeepSeek V3 by DeepSeek via BurnCloud",
link="https://ai.burncloud.com/",
function_calling=True,
),
],
)