Files
dify/api/constants/model_template.py
Yansong Zhang d067d84811 feat(api): Agent App type S1 — AppMode.AGENT + create flow + binding
First slice of the Agent App type (新 Agent 作为独立 App 类型,替代
chatbot/agent-legacy/completion). Design:
https://km.dify.langgenius.ai/wiki/spaces/DT/pages/460161070/Agent+App+Type

* New ``AppMode.AGENT = "agent"`` (distinct from legacy ``agent-chat`` ReAct
  app). Runtime model/prompt/tools live in the bound Agent Soul, so the
  default template seeds no model_config.
* Create flow: creating an Agent App also creates a roster Agent bound 1:1 via
  ``Agent.app_id`` (decision Q1), inside the same transaction so app + backing
  agent persist atomically. ``AgentRosterService.create_backing_agent_for_app``
  builds the agent + a v1 (empty) Agent Soul snapshot without committing; the
  user configures model/prompt/tools afterward in the Composer.
* ``App.bound_agent_id`` resolves the backing roster Agent from the app id (so
  the console can open the Composer in roster-detail mode); surfaced on the app
  detail response. Returns None for non-agent apps (short-circuits, no DB hit).
* ``CreateAppParams`` / ``AppListParams`` accept "agent"; list filter handles it.

Scope: S1 only (foundation). Runtime/preview, web/service API, access &
sharing, logs and feature flags land in S2–S7 per the design.

Tests: roster backing-agent build/link/get + enum/template/params/bound_agent_id
short-circuit. 46 passing in app + agent service suites; ruff + pyrefly clean.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-29 18:46:10 +08:00

95 lines
2.5 KiB
Python

import json
from collections.abc import Mapping
from models.model import AppMode
default_app_templates: Mapping[AppMode, Mapping] = {
# workflow default mode
AppMode.WORKFLOW: {
"app": {
"mode": AppMode.WORKFLOW,
"enable_site": True,
"enable_api": True,
}
},
# completion default mode
AppMode.COMPLETION: {
"app": {
"mode": AppMode.COMPLETION,
"enable_site": True,
"enable_api": True,
},
"model_config": {
"model": {
"provider": "openai",
"name": "gpt-4o",
"mode": "chat",
"completion_params": {},
},
"user_input_form": json.dumps(
[
{
"paragraph": {
"label": "Query",
"variable": "query",
"required": True,
"default": "",
},
},
]
),
"pre_prompt": "{{query}}",
},
},
# chat default mode
AppMode.CHAT: {
"app": {
"mode": AppMode.CHAT,
"enable_site": True,
"enable_api": True,
},
"model_config": {
"model": {
"provider": "openai",
"name": "gpt-4o",
"mode": "chat",
"completion_params": {},
},
},
},
# advanced-chat default mode
AppMode.ADVANCED_CHAT: {
"app": {
"mode": AppMode.ADVANCED_CHAT,
"enable_site": True,
"enable_api": True,
},
},
# agent-chat default mode
AppMode.AGENT_CHAT: {
"app": {
"mode": AppMode.AGENT_CHAT,
"enable_site": True,
"enable_api": True,
},
"model_config": {
"model": {
"provider": "openai",
"name": "gpt-4o",
"mode": "chat",
"completion_params": {},
},
},
},
# agent default mode (new Agent App type). The runtime model / prompt / tools
# come from the bound Agent Soul snapshot, so no model_config is seeded here;
# app_model_config is created lazily when app-level feature flags are set.
AppMode.AGENT: {
"app": {
"mode": AppMode.AGENT,
"enable_site": True,
"enable_api": True,
},
},
}