mirror of
https://github.com/infiniflow/ragflow.git
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3fa15c0e2f
Ports the agent canvas subsystem from Python to Go.
## What's included
### Canvas Engine (Phase 0/1)
- State engine, scheduler, variable resolver, Redis checkpoint store,
cancel protocol
- **209 tests** across canvas / component / io packages
### 22 Components (P0–P4)
| Tier | Components |
|---|---|
| P0 T1+T2+T3 | LLM, Agent, ExitLoop, Switch, Categorize, Begin,
Message, Invoke |
| P1 T3 | VariableAggregator, VariableAssigner, StringTransform,
ListOperations, DataOperations |
| P2 T3 | Iteration, IterationItem, Loop, LoopItem |
| P3 T3 | UserFillUp, Fillup |
| P4 T5 | Browser, ExcelProcessor, DocsGenerator |
### DSL v2 Schema (Phase 2.5)
- Typed v2 in-memory model with v1-to-v2 auto-detect converter
- v1 legacy field stripping per plan §2.11.7
### HTTP Endpoints & Bug Fixes (Plans PR1–PR3)
- **DELETE SQL bug fix**: gorm v2 `Where("id = ?", id).Delete(...)`
pattern
- **CreateAgent validation**: title/DSL required, duplicate check, 103
envelope
- **13 new endpoints**: templates, prompts, tags, sessions CRUD,
chat/completions (SSE + non-stream stubs), rerun, test_db_connection,
logs, webhook/logs
- **756 Go unit tests** (745 → 756, +18)
- **17 → 0 Python integration test failures** (test_agents.py +
test_session_management/)
### Tools
21 eino tools: HTTPHelper, search tools, financial/data tools, mandatory
stubs
### Infrastructure
OTel observability, NATS message queue, DeepDoc gRPC client, SSRF
guards, IDOR mitigation
92 lines
3.9 KiB
JSON
92 lines
3.9 KiB
JSON
{
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"components": {
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"begin": {
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"obj":{
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"component_name": "Begin",
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"params": {
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"prologue": "Hi there!"
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}
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},
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"downstream": ["generate:0"],
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"upstream": []
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},
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"generate:0": {
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"obj": {
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"component_name": "Agent",
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"params": {
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"llm_id": "deepseek-chat",
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"sys_prompt": "You are an helpful research assistant. \nPlease decompose user's topic: '{sys.query}' into several meaningful sub-topics. \nThe output format MUST be an string array like: [\"sub-topic1\", \"sub-topic2\", ...]. Redundant information is forbidden.",
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"temperature": 0.2,
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"cite":false,
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"output_structure": ["sub-topic1", "sub-topic2", "sub-topic3"]
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}
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},
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"downstream": ["iteration:0"],
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"upstream": ["begin"]
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},
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"iteration:0": {
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"obj": {
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"component_name": "Iteration",
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"params": {
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"items_ref": "generate:0@structured_content"
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}
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},
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"downstream": ["message:0"],
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"upstream": ["generate:0"]
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},
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"iterationitem:0": {
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"obj": {
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"component_name": "IterationItem",
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"params": {}
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},
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"parent_id": "iteration:0",
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"downstream": ["tavily:0"],
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"upstream": []
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},
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"tavily:0": {
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"obj": {
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"component_name": "TavilySearch",
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"params": {
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"api_key": "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",
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"query": "iterationitem:0@result"
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}
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},
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"parent_id": "iteration:0",
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"downstream": ["generate:1"],
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"upstream": ["iterationitem:0"]
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},
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"generate:1": {
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"obj": {
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"component_name": "Agent",
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"params": {
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"llm_id": "deepseek-chat",
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"sys_prompt": "Your goal is to provide answers based on information from the internet. \nYou must use the provided search results to find relevant online information. \nYou should never use your own knowledge to answer questions.\nPlease include relevant url sources in the end of your answers.\n\n \"{tavily:0@formalized_content}\" \nUsing the above information, answer the following question or topic: \"{iterationitem:0@result} \"\nin a detailed report — The report should focus on the answer to the question, should be well structured, informative, in depth, with facts and numbers if available, a minimum of 200 words and with markdown syntax and apa format. Write all source urls at the end of the report in apa format. You should write your report only based on the given information and nothing else.",
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"temperature": 0.9,
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"cite":false
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}
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},
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"parent_id": "iteration:0",
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"downstream": ["iterationitem:0"],
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"upstream": ["tavily:0"]
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},
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"message:0": {
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"obj": {
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"component_name": "Message",
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"params": {
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"content": ["{iteration:0@generate:1}"]
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}
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},
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"downstream": [],
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"upstream": ["iteration:0"]
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}
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},
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"history": [],
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"path": [],
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"retrieval": {"chunks": [], "doc_aggs": []},
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"globals": {
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"sys.query": "",
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"sys.user_id": "",
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"sys.conversation_turns": 0,
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"sys.files": []
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}
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} |