states:
- name: AgentSelector
agentName: AgentSelector
type: aiagent
aiModel: llama3-70b-8192
systemMessage: |-
You are an assistant for selecting which tool is the most useful to use. \n
Based on the tool's description, you have to return the name of the selected tool.
userMessage: '${ "User: " + .request.question }'
output: |-
{
"type": "object",
"properties": {
"selectedAgent": {
"type": "string",
"description": "The exact name of agent to be selected."
}
},
"required": [
"selectedAgent"
]
}
tools:
- name: RAG_REACT
description: |-
RAG_REACT[input]: This tool is great for answering questions about searching products information, pricing,
description, give advise and others about querying data.
parameters: |-
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The search query"
}
},
"required": ["input"]
}
output: |-
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The answer to the user question"
},
"images": {
"type": "array",
"description": "The list of images that related to the answer to be displayed to the user",
"items": {
"type": "string",
"format": "uri"
}
}
},
"required": ["answer"]
}
- name: TRANSACTION_PROCESSING
description: |-
TRANSACTION_PROCESSING[request]: This tool is great for handle ordering, buying, booking products, payments, and others related to transactions request.
parameters: |-
{
"type": "object",
"properties": {
"request": {
"type": "string",
"description": "The user request"
}
},
"required": ["request"]
}
output: |-
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The answer."
}
},
"required": [
"answer"
]
}
agentOutcomes:
- condition: '${ $agentOutcome.returnValues.selectedAgent == "RAG_REACT" }'
finish: true
transition: RagAgent
- condition: '${ $agentOutcome.returnValues.selectedAgent == "TRANSACTION_PROCESSING" }'
finish: true
transition: ProductRetriver
- condition: '${ true }'
finish: true
transition: RagAgent
- name: RagAgent
agentName: RagAgent
type: aiagent
aiModel: gpt-4o
systemMessage: |-
You are an assistant for question-answering tasks.
Correct question to ensure the correctness of spelling and clarity of meaning in Vietnamese before answering.
Use the following pieces of retrieved context to answer the question.
If you don't know the answer, just say that you don't know.
```
Question: {question}
Context: {context}
Answer:
userMessage: '${ .request.question }'
output: |-
{
"type": "object",
"properties": {
"answer": {
"type": "string",
"description": "The answer to the user question"
},
"images": {
"type": "array",
"description": "The list of images that related to the answer to be displayed to the user",
"items": {
"type": "object",
"properties": {
"url": {
"type": "string",
"format": "uri",
"description": "The URL of the image"
}
}
}
}
},
"required": ["answer"]
}
tools:
- name: FIND_RELEVANT_DOCUMENTS
description: |-
FIND_RELEVANT_DOCUMENTS[question]: This tool is great for searching relevant documents, articles in the knowledge base related to the user question
parameters: |-
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The search query"
}
},
"required": ["input"]
}
output: |-
{
"type": "object",
"properties": {
"documents": {
"type": "array",
"items": {
"type": "string",
"format": "uri"
}
}
},
"required": ["documents"]
}
execution:
actionMode: sequential
actions:
- name: FindRelevantDocuments
functionRef:
refName: FuncFindRelevantDocuments
arguments:
question: '${ .request.question }'
actor: '${ .request.userContext }'
actionDataFilter:
results: '${ { "documents": .data } }'
toStateData: ${ .request }
agentOutcomes:
- condition: '${ true }'
finish: true
transition: InformRagResult
```
| {
"states": \[
{
"name": "AgentSelector",
"agentName": "AgentSelector",
"type": "aiagent",
"agentType": "agent",
"aiModel": "llama3-70b-8192",
"systemMessage": "You are an assistant for selecting which tool is the most useful to use. \n\nBased on the tool's description, you have to return the name of the selected tool.",
"userMessage": "${ "User: " + .request.question }",
"output": "{\n "type": "object",\n "properties": {\n "selectedAgent": {\n "type": "string",\n "description": "The exact name of agent to be selected."\n }\n },\n "required": \[\n "selectedAgent"\n ]\n}",
"tools": \[
{
"name": "RAG\_REACT",
"description": "RAG\_REACT\[input]: This tool is great for answering questions about searching products information, pricing, \ndescription, give advise and others about querying data.",
"parameters": "{\n "type": "object",\n "properties": {\n "input": {\n "type": "string",\n "description": "The search query"\n }\n },\n "required": \["input"]\n}",
"output": "{\n "type": "object",\n "properties": {\n "answer": {\n "type": "string",\n "description": "The answer to the user question"\n },\n "images": {\n "type": "array",\n "description": "The list of images that related to the answer to be displayed to the user",\n "items": {\n "type": "string",\n "format": "uri"\n }\n }\n },\n "required": \["answer"]\n}"
},
{
"name": "TRANSACTION\_PROCESSING",
"description": "TRANSACTION\_PROCESSING\[request]: This tool is great for handle ordering, buying, booking products, payments, and others related to transactions request.",
"parameters": "{\n "type": "object",\n "properties": {\n "request": {\n "type": "string",\n "description": "The user request"\n }\n },\n "required": \["request"]\n}",
"output": "{\n "type": "object",\n "properties": {\n "answer": {\n "type": "string",\n "description": "The answer."\n }\n },\n "required": \[\n "answer"\n ]\n}"
}
],
"agentOutcomes": \[
{
"condition": "${ $agentOutcome.returnValues.selectedAgent == "RAG\_REACT" }",
"finish": true,
"transition": "RagAgent"
},
{
"condition": "${ $agentOutcome.returnValues.selectedAgent == "TRANSACTION\_PROCESSING" }",
"finish": true,
"transition": "ProductRetriver"
},
{
"condition": "${ true }",
"finish": true,
"transition": "RagAgent"
}
]
},
{
"name": "RagAgent",
"agentName": "RagAgent",
"type": "aiagent",
"agentType": "agent",
"aiModel": "gpt-4o",
"systemMessage": "You are an assistant for question-answering tasks. \nCorrect question to ensure the correctness of spelling and clarity of meaning in Vietnamese before answering. \nUse the following pieces of retrieved context to answer the question. \nIf you don't know the answer, just say that you don't know. \n\nQuestion: {question}\nContext: {context}\nAnswer:",
"userMessage": "${ .request.question }",
"output": "{\n "type": "object",\n "properties": {\n "answer": {\n "type": "string",\n "description": "The answer to the user question"\n },\n "images": {\n "type": "array",\n "description": "The list of images that related to the answer to be displayed to the user",\n "items": {\n "type": "object",\n "properties": {\n "url": {\n "type": "string",\n "format": "uri",\n "description": "The URL of the image"\n }\n }\n }\n }\n },\n "required": \["answer"]\n}",
"tools": \[
{
"name": "FIND\_RELEVANT\_DOCUMENTS",
"description": "FIND\_RELEVANT\_DOCUMENTS\[question]: This tool is great for searching relevant documents, articles in the knowledge base related to the user question",
"parameters": "{\n "type": "object",\n "properties": {\n "input": {\n "type": "string",\n "description": "The search query"\n }\n },\n "required": \["input"]\n}",
"output": "{\n "type": "object",\n "properties": {\n "documents": {\n "type": "array",\n "items": {\n "type": "string",\n "format": "uri"\n }\n }\n },\n "required": \["documents"]\n}",
"execution": {
"actionMode": "sequential",
"actions": \[
{
"name": "FindRelevantDocuments",
"functionRef": {
"refName": "FuncFindRelevantDocuments",
"arguments": {
"question": "${ .request.question }",
"actor": "${ .request.userContext }"
}
},
"actionDataFilter": {
"results": "${ { "documents": .data } }",
"toStateData": "${ .request }"
}
}
]
}
}
],
"agentOutcomes": \[
{
"condition": "${ true }",
"finish": true,
"transition": "InformRagResult"
}
]
}
]
}
|