Files
demat-facturation/server/_core/llm.ts
Manus d32359fc10 Checkpoint: Ajout de la configuration des champs obligatoires pour le score LLM
Nouvelle fonctionnalité permettant de configurer quels champs sont obligatoires ou optionnels pour atteindre un score de reconnaissance de 100%.

Modifications:
- Nouvelle table llmFieldsConfig dans la base de données
- Routes tRPC pour gérer la configuration (getAll, updateField)
- Interface utilisateur dans la page Paramètres avec tableau et cases à cocher
- Modification du code d'extraction pour générer dynamiquement l'instruction de score
- Initialisation automatique des champs par défaut (supplierName, invoiceNumber, invoiceDate, totalAmount obligatoires)
- Tests unitaires pour valider la fonctionnalité

L'utilisateur peut maintenant personnaliser quels champs doivent être détectés pour qu'une facture atteigne 100% de score.
2026-02-13 03:39:41 -05:00

357 lines
7.9 KiB
TypeScript
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import { ENV } from "./env";
export type Role = "system" | "user" | "assistant" | "tool" | "function";
export type TextContent = {
type: "text";
text: string;
};
export type ImageContent = {
type: "image_url";
image_url: {
url: string;
detail?: "auto" | "low" | "high";
};
};
export type FileContent = {
type: "file_url";
file_url: {
url: string;
mime_type?: "audio/mpeg" | "audio/wav" | "application/pdf" | "audio/mp4" | "video/mp4" ;
};
};
export type MessageContent = string | TextContent | ImageContent | FileContent;
export type Message = {
role: Role;
content: MessageContent | MessageContent[];
name?: string;
tool_call_id?: string;
};
export type Tool = {
type: "function";
function: {
name: string;
description?: string;
parameters?: Record<string, unknown>;
};
};
export type ToolChoicePrimitive = "none" | "auto" | "required";
export type ToolChoiceByName = { name: string };
export type ToolChoiceExplicit = {
type: "function";
function: {
name: string;
};
};
export type ToolChoice =
| ToolChoicePrimitive
| ToolChoiceByName
| ToolChoiceExplicit;
export type InvokeParams = {
messages: Message[];
tools?: Tool[];
toolChoice?: ToolChoice;
tool_choice?: ToolChoice;
maxTokens?: number;
max_tokens?: number;
outputSchema?: OutputSchema;
output_schema?: OutputSchema;
responseFormat?: ResponseFormat;
response_format?: ResponseFormat;
};
export type ToolCall = {
id: string;
type: "function";
function: {
name: string;
arguments: string;
};
};
export type InvokeResult = {
id: string;
created: number;
model: string;
choices: Array<{
index: number;
message: {
role: Role;
content: string | Array<TextContent | ImageContent | FileContent>;
tool_calls?: ToolCall[];
};
finish_reason: string | null;
}>;
usage?: {
prompt_tokens: number;
completion_tokens: number;
total_tokens: number;
};
};
export type JsonSchema = {
name: string;
schema: Record<string, unknown>;
strict?: boolean;
};
export type OutputSchema = JsonSchema;
export type ResponseFormat =
| { type: "text" }
| { type: "json_object" }
| { type: "json_schema"; json_schema: JsonSchema };
const ensureArray = (
value: MessageContent | MessageContent[]
): MessageContent[] => (Array.isArray(value) ? value : [value]);
const normalizeContentPart = (
part: MessageContent
): TextContent | ImageContent | FileContent => {
if (typeof part === "string") {
return { type: "text", text: part };
}
if (part.type === "text") {
return part;
}
if (part.type === "image_url") {
return part;
}
if (part.type === "file_url") {
return part;
}
throw new Error("Unsupported message content part");
};
const normalizeMessage = (message: Message) => {
const { role, name, tool_call_id } = message;
if (role === "tool" || role === "function") {
const content = ensureArray(message.content)
.map(part => (typeof part === "string" ? part : JSON.stringify(part)))
.join("\n");
return {
role,
name,
tool_call_id,
content,
};
}
const contentParts = ensureArray(message.content).map(normalizeContentPart);
// If there's only text content, collapse to a single string for compatibility
if (contentParts.length === 1 && contentParts[0].type === "text") {
return {
role,
name,
content: contentParts[0].text,
};
}
return {
role,
name,
content: contentParts,
};
};
const normalizeToolChoice = (
toolChoice: ToolChoice | undefined,
tools: Tool[] | undefined
): "none" | "auto" | ToolChoiceExplicit | undefined => {
if (!toolChoice) return undefined;
if (toolChoice === "none" || toolChoice === "auto") {
return toolChoice;
}
if (toolChoice === "required") {
if (!tools || tools.length === 0) {
throw new Error(
"tool_choice 'required' was provided but no tools were configured"
);
}
if (tools.length > 1) {
throw new Error(
"tool_choice 'required' needs a single tool or specify the tool name explicitly"
);
}
return {
type: "function",
function: { name: tools[0].function.name },
};
}
if ("name" in toolChoice) {
return {
type: "function",
function: { name: toolChoice.name },
};
}
return toolChoice;
};
const resolveApiUrl = () => {
// If MISTRAL_API_KEY is set, use Mistral API directly
if (ENV.mistralApiKey && ENV.mistralApiKey.trim().length > 0) {
return "https://api.mistral.ai/v1/chat/completions";
}
// Otherwise use Manus Forge API
return ENV.forgeApiUrl && ENV.forgeApiUrl.trim().length > 0
? `${ENV.forgeApiUrl.replace(/\/$/, "")}/v1/chat/completions`
: "https://forge.manus.im/v1/chat/completions";
};
const assertApiKey = () => {
if (!ENV.mistralApiKey && !ENV.forgeApiKey) {
throw new Error("MISTRAL_API_KEY or OPENAI_API_KEY is not configured");
}
};
const getApiKey = () => {
// Prioritize MISTRAL_API_KEY if set
if (ENV.mistralApiKey && ENV.mistralApiKey.trim().length > 0) {
return ENV.mistralApiKey;
}
return ENV.forgeApiKey;
};
const normalizeResponseFormat = ({
responseFormat,
response_format,
outputSchema,
output_schema,
}: {
responseFormat?: ResponseFormat;
response_format?: ResponseFormat;
outputSchema?: OutputSchema;
output_schema?: OutputSchema;
}):
| { type: "json_schema"; json_schema: JsonSchema }
| { type: "text" }
| { type: "json_object" }
| undefined => {
const explicitFormat = responseFormat || response_format;
if (explicitFormat) {
if (
explicitFormat.type === "json_schema" &&
!explicitFormat.json_schema?.schema
) {
throw new Error(
"responseFormat json_schema requires a defined schema object"
);
}
return explicitFormat;
}
const schema = outputSchema || output_schema;
if (!schema) return undefined;
if (!schema.name || !schema.schema) {
throw new Error("outputSchema requires both name and schema");
}
return {
type: "json_schema",
json_schema: {
name: schema.name,
schema: schema.schema,
...(typeof schema.strict === "boolean" ? { strict: schema.strict } : {}),
},
};
};
export async function invokeLLM(params: InvokeParams): Promise<InvokeResult> {
assertApiKey();
const {
messages,
tools,
toolChoice,
tool_choice,
outputSchema,
output_schema,
responseFormat,
response_format,
} = params;
// Use mistral-large-latest when MISTRAL_API_KEY is set, otherwise use gemini
const model = ENV.mistralApiKey && ENV.mistralApiKey.trim().length > 0
? "mistral-large-latest"
: "gemini-2.5-flash";
const payload: Record<string, unknown> = {
model,
messages: messages.map(normalizeMessage),
};
if (tools && tools.length > 0) {
payload.tools = tools;
}
const normalizedToolChoice = normalizeToolChoice(
toolChoice || tool_choice,
tools
);
if (normalizedToolChoice) {
payload.tool_choice = normalizedToolChoice;
}
payload.max_tokens = 32768
// Only add thinking parameter for Gemini models
if (!(ENV.mistralApiKey && ENV.mistralApiKey.trim().length > 0)) {
payload.thinking = {
"budget_tokens": 128
}
}
const normalizedResponseFormat = normalizeResponseFormat({
responseFormat,
response_format,
outputSchema,
output_schema,
});
if (normalizedResponseFormat) {
payload.response_format = normalizedResponseFormat;
}
const response = await fetch(resolveApiUrl(), {
method: "POST",
headers: {
"content-type": "application/json",
authorization: `Bearer ${getApiKey()}`,
},
body: JSON.stringify(payload),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(
`LLM invoke failed: ${response.status} ${response.statusText} ${errorText}`
);
}
return (await response.json()) as InvokeResult;
}