Files
lang-agent/lang_agent/front_api/build_server_utils.py
2026-03-18 20:44:28 +08:00

224 lines
6.2 KiB
Python

from typing import Any, Dict, List, Literal, Optional
import os
import os.path as osp
import subprocess
import json
from lang_agent.config.core_config import load_tyro_conf
from lang_agent.config.constants import TY_BUILD_SCRIPT, _PROJECT_ROOT
_DEEP_AGENT_BACKEND_ALIASES = {
"state_bk": "statebk",
"statebk": "statebk",
"local_shell": "localshell",
"localshell": "localshell",
"daytona_sandbox": "daytonasandbox",
"daytonasandbox": "daytonasandbox",
}
def opt_to_config(save_path: str, *nargs):
os.makedirs(osp.dirname(save_path), exist_ok=True)
subprocess.run(
["python", TY_BUILD_SCRIPT, "--save-path", save_path, *nargs],
check=True,
cwd=_PROJECT_ROOT,
)
def _build_and_load_pipeline_config(
pipeline_id: str, pipeline_config_dir: str, cmd: List[str]
):
save_config_f = osp.join(pipeline_config_dir, f"{pipeline_id}.yaml")
opt_to_config(save_config_f, *cmd)
# TODO: think if returning the built pipeline is better or just the config obj for front_api
return load_tyro_conf(save_config_f)
def update_pipeline_registry(
pipeline_id: str,
graph_id: str,
config_file: str,
llm_name: str,
enabled: bool = True,
registry_f: str = "configs/pipeline_registry.json",
):
if not osp.isabs(registry_f):
registry_f = osp.join(_PROJECT_ROOT, registry_f)
os.makedirs(osp.dirname(registry_f), exist_ok=True)
if not osp.exists(registry_f):
with open(registry_f, "w", encoding="utf-8") as f:
json.dump({"pipelines": {}, "api_keys": {}}, f, indent=4)
with open(registry_f, "r") as f:
registry = json.load(f)
pipelines: Dict[str, Dict[str, Any]] = registry.setdefault("pipelines", {})
pipeline = pipelines.setdefault(pipeline_id, {})
pipeline["enabled"] = bool(enabled)
pipeline["config_file"] = config_file
pipeline["graph_id"] = graph_id
pipeline["llm_name"] = llm_name
with open(registry_f, "w", encoding="utf-8") as f:
json.dump(registry, f, indent=4)
def build_route(
pipeline_id: str,
prompt_set: str,
tool_keys: List[str],
api_key: str,
llm_name: str = "qwen-plus",
pipeline_config_dir: str = "configs/pipelines",
**_: Any,
):
cmd_opt = [
"--pipeline.pipeline-id",
pipeline_id,
"--pipeline.llm-name",
llm_name,
"route", # ------------
"--llm-name",
llm_name,
"--api-key",
api_key,
"--pipeline-id",
pipeline_id,
"--prompt-set-id",
prompt_set,
]
if tool_keys:
cmd_opt.extend(
["--tool-manager-config.client-tool-manager.tool-keys", *tool_keys]
)
# Tyro parses list options greedily across positional subcommands; repeat a
# parent-level option to terminate list parsing before `tool_node`.
cmd_opt.extend(["--pipeline-id", pipeline_id])
cmd_opt.extend(
[
"tool_node", # ------------
"--llm-name",
llm_name,
"--api-key",
api_key,
"--pipeline-id",
pipeline_id,
"--prompt-set-id",
prompt_set,
]
)
return _build_and_load_pipeline_config(pipeline_id, pipeline_config_dir, cmd_opt)
def build_react(
pipeline_id: str,
prompt_set: str,
tool_keys: List[str],
api_key: str,
llm_name: str = "qwen-plus",
pipeline_config_dir: str = "configs/pipelines",
**_: Any,
):
cmd_opt = [
"--pipeline.pipeline-id",
pipeline_id,
"--pipeline.llm-name",
llm_name,
"react", # ------------
"--llm-name",
llm_name,
"--api-key",
api_key,
"--pipeline-id",
pipeline_id,
"--prompt-set-id",
prompt_set,
]
if tool_keys:
cmd_opt.extend(
["--tool-manager-config.client-tool-manager.tool-keys", *tool_keys]
)
return _build_and_load_pipeline_config(pipeline_id, pipeline_config_dir, cmd_opt)
def build_deep_agent(
pipeline_id: str,
prompt_set: str,
tool_keys: List[str],
api_key: str,
llm_name: str = "qwen-plus",
pipeline_config_dir: str = "configs/pipelines",
act_bkend: Literal[
"local_shell",
"localshell",
"state_bk",
"statebk",
"daytona_sandbox",
"daytonasandbox",
] = "state_bk",
file_backend_config: Optional[Dict[str, Any]] = None,
**_: Any,
):
backend_subcommand = _DEEP_AGENT_BACKEND_ALIASES.get(act_bkend)
if backend_subcommand is None:
raise ValueError(
"Unsupported deepagent backend "
f"'{act_bkend}'. Expected one of {sorted(_DEEP_AGENT_BACKEND_ALIASES.keys())}"
)
cmd_opt = [
"--pipeline.pipeline-id",
pipeline_id,
"--pipeline.llm-name",
llm_name,
"deepagent",
"--llm-name",
llm_name,
"--api-key",
api_key,
"--pipeline-id",
pipeline_id,
"--prompt-set-id",
prompt_set,
]
if tool_keys:
cmd_opt.extend(
["--tool-manager-config.client-tool-manager.tool-keys", *tool_keys]
)
cmd_opt.extend(["--pipeline-id", pipeline_id])
cmd_opt.append(backend_subcommand)
if file_backend_config:
if "skills_dir" in file_backend_config and file_backend_config["skills_dir"]:
cmd_opt.extend(["--skills-dir", file_backend_config["skills_dir"]])
if (
"rt_skills_dir" in file_backend_config
and file_backend_config["rt_skills_dir"]
):
cmd_opt.extend(["--rt-skills-dir", file_backend_config["rt_skills_dir"]])
if (
"workspace_dir" in file_backend_config
and file_backend_config["workspace_dir"]
):
cmd_opt.extend(["--workspace-dir", file_backend_config["workspace_dir"]])
if "api_key" in file_backend_config and file_backend_config["api_key"]:
cmd_opt.extend(["--api-key", file_backend_config["api_key"]])
return _build_and_load_pipeline_config(pipeline_id, pipeline_config_dir, cmd_opt)
# {pipeline_id: build_function}
GRAPH_BUILD_FNCS = {
"routing": build_route,
"react": build_react,
"deepagent": build_deep_agent,
}