evo-ai/frontend/app/agents/forms/BasicInfoTab.tsx

244 lines
8.4 KiB
TypeScript

/*
┌──────────────────────────────────────────────────────────────────────────────┐
│ @author: Davidson Gomes │
│ @file: /app/agents/forms/BasicInfoTab.tsx │
│ Developed by: Davidson Gomes │
│ Creation date: May 13, 2025 │
│ Contact: contato@evolution-api.com │
├──────────────────────────────────────────────────────────────────────────────┤
│ @copyright © Evolution API 2025. All rights reserved. │
│ Licensed under the Apache License, Version 2.0 │
│ │
│ You may not use this file except in compliance with the License. │
│ You may obtain a copy of the License at │
│ │
│ http://www.apache.org/licenses/LICENSE-2.0 │
│ │
│ Unless required by applicable law or agreed to in writing, software │
│ distributed under the License is distributed on an "AS IS" BASIS, │
│ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. │
│ See the License for the specific language governing permissions and │
│ limitations under the License. │
├──────────────────────────────────────────────────────────────────────────────┤
│ @important │
│ For any future changes to the code in this file, it is recommended to │
│ include, together with the modification, the information of the developer │
│ who changed it and the date of modification. │
└──────────────────────────────────────────────────────────────────────────────┘
*/
"use client";
import { AgentTypeSelector } from "@/app/agents/AgentTypeSelector";
import { Input } from "@/components/ui/input";
import { Label } from "@/components/ui/label";
import { Textarea } from "@/components/ui/textarea";
import { Agent, AgentType } from "@/types/agent";
import { ApiKey } from "@/services/agentService";
import { A2AAgentConfig } from "../config/A2AAgentConfig";
import { LLMAgentConfig } from "../config/LLMAgentConfig";
import { sanitizeAgentName } from "@/lib/utils";
interface ModelOption {
value: string;
label: string;
provider: string;
}
interface BasicInfoTabProps {
values: Partial<Agent>;
onChange: (values: Partial<Agent>) => void;
apiKeys: ApiKey[];
availableModels: ModelOption[];
onOpenApiKeysDialog: () => void;
clientId: string;
}
export function BasicInfoTab({
values,
onChange,
apiKeys,
availableModels,
onOpenApiKeysDialog,
}: BasicInfoTabProps) {
const handleNameBlur = (e: React.FocusEvent<HTMLInputElement>) => {
const sanitizedName = sanitizeAgentName(e.target.value);
if (sanitizedName !== e.target.value) {
onChange({ ...values, name: sanitizedName });
}
};
const handleTypeChange = (type: AgentType) => {
let newValues: Partial<Agent> = { ...values, type };
if (type === "llm") {
newValues = {
...newValues,
model: "openai/gpt-4.1-nano",
instruction: "",
role: "",
goal: "",
agent_card_url: undefined,
config: {
tools: [],
mcp_servers: [],
custom_mcp_servers: [],
custom_tools: {
http_tools: [],
},
sub_agents: [],
},
};
} else if (type === "a2a") {
newValues = {
...newValues,
model: undefined,
instruction: undefined,
role: undefined,
goal: undefined,
agent_card_url: "",
api_key_id: undefined,
config: undefined,
};
} else if (type === "loop") {
newValues = {
...newValues,
model: undefined,
instruction: undefined,
role: undefined,
goal: undefined,
agent_card_url: undefined,
api_key_id: undefined,
config: {
sub_agents: [],
custom_mcp_servers: [],
},
};
} else if (type === "workflow") {
newValues = {
...newValues,
model: undefined,
instruction: undefined,
role: undefined,
goal: undefined,
agent_card_url: undefined,
api_key_id: undefined,
config: {
sub_agents: [],
workflow: {
nodes: [],
edges: [],
},
},
};
} else if (type === "task") {
newValues = {
...newValues,
model: undefined,
instruction: undefined,
role: undefined,
goal: undefined,
agent_card_url: undefined,
api_key_id: undefined,
config: {
tasks: [],
sub_agents: [],
},
};
} else {
newValues = {
...newValues,
model: undefined,
instruction: undefined,
role: undefined,
goal: undefined,
agent_card_url: undefined,
api_key_id: undefined,
config: {
sub_agents: [],
custom_mcp_servers: [],
},
};
}
onChange(newValues);
};
return (
<div className="space-y-4">
<div className="grid grid-cols-4 items-center gap-4">
<Label htmlFor="type" className="text-right text-neutral-300">
Agent Type
</Label>
<div className="col-span-3">
<AgentTypeSelector
value={values.type || "llm"}
onValueChange={handleTypeChange}
/>
</div>
</div>
<div className="grid grid-cols-4 items-center gap-4">
<Label htmlFor="name" className="text-right text-neutral-300">
Name
</Label>
<Input
id="name"
value={values.name || ""}
onChange={(e) => onChange({ ...values, name: e.target.value })}
onBlur={handleNameBlur}
className="col-span-3 bg-[#222] border-[#444] text-white"
/>
</div>
{values.type !== "a2a" && (
<div className="grid grid-cols-4 items-center gap-4">
<Label htmlFor="description" className="text-right text-neutral-300">
Description
</Label>
<Input
id="description"
value={values.description || ""}
onChange={(e) =>
onChange({ ...values, description: e.target.value })
}
className="col-span-3 bg-[#222] border-[#444] text-white"
/>
</div>
)}
{values.type === "llm" && (
<LLMAgentConfig
apiKeys={apiKeys}
availableModels={availableModels}
values={values}
onChange={onChange}
onOpenApiKeysDialog={onOpenApiKeysDialog}
/>
)}
{values.type === "loop" && values.config?.max_iterations && (
<div className="space-y-1 text-xs text-neutral-400">
<div>
<strong>Max. Iterations:</strong> {values.config.max_iterations}
</div>
</div>
)}
{values.type === "workflow" && (
<div className="space-y-1 text-xs text-neutral-400">
<div>
<strong>Type:</strong> Visual Flow
</div>
{values.config?.workflow && (
<div>
<strong>Elements:</strong>{" "}
{values.config.workflow.nodes?.length || 0} nodes,{" "}
{values.config.workflow.edges?.length || 0} connections
</div>
)}
</div>
)}
</div>
);
}