wip - trying to connect to OpenAi

This commit is contained in:
Dario Ghunney Ware 2025-11-05 18:03:58 +00:00
parent e142647d8d
commit 5e26decf19
15 changed files with 41 additions and 74 deletions

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@ -625,7 +625,6 @@ public class ApplicationProperties {
private String primary = "gpt-5-nano";
private String fallback = "gpt-5-mini";
private String embedding = "text-embedding-3-small";
private String apiKey;
}
@Data

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@ -102,7 +102,6 @@ premium:
primary: gpt-5-nano # Default lightweight model
fallback: gpt-5-mini # Escalation model for complex prompts
embedding: text-embedding-3-small # Embedding model for vector store usage
apiKey: '' # Provide your OpenAI-compatible API key (or use SPRING_AI_OPENAI_API_KEY env var)
rag:
chunkSizeTokens: 512 # Token window used when chunking text
chunkOverlapTokens: 128 # Overlap between successive chunks

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@ -1,52 +0,0 @@
package stirling.software.proprietary.config;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.embedding.EmbeddingModel;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.ai.openai.OpenAiEmbeddingModel;
import org.springframework.ai.openai.OpenAiEmbeddingOptions;
import org.springframework.ai.openai.api.OpenAiApi;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.util.StringUtils;
import stirling.software.proprietary.service.chatbot.ChatbotFeatureProperties;
import stirling.software.proprietary.service.chatbot.ChatbotFeatureProperties.ChatbotSettings;
@Configuration
@ConditionalOnProperty(value = "premium.proFeatures.chatbot.enabled", havingValue = "true")
public class ChatbotAiConfiguration {
@Bean
public OpenAiApi chatbotOpenAiApi(ChatbotFeatureProperties properties) {
ChatbotSettings settings = properties.current();
String apiKey = settings.models().apiKey();
if (!StringUtils.hasText(apiKey)) {
throw new IllegalStateException(
"premium.proFeatures.chatbot.models.apiKey must be set (or provide SPRING_AI_OPENAI_API_KEY)");
}
return new OpenAiApi(apiKey);
}
@Bean
public ChatModel chatbotChatModel(
OpenAiApi chatbotOpenAiApi, ChatbotFeatureProperties properties) {
OpenAiChatOptions options =
OpenAiChatOptions.builder()
.withModel(properties.current().models().primary())
.build();
return new OpenAiChatModel(chatbotOpenAiApi, options);
}
@Bean
public EmbeddingModel chatbotEmbeddingModel(
OpenAiApi chatbotOpenAiApi, ChatbotFeatureProperties properties) {
OpenAiEmbeddingOptions options =
OpenAiEmbeddingOptions.builder()
.withModel(properties.current().models().embedding())
.build();
return new OpenAiEmbeddingModel(chatbotOpenAiApi, options);
}
}

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@ -3,6 +3,7 @@ package stirling.software.proprietary.controller;
import java.util.ArrayList;
import java.util.List;
import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
@ -34,6 +35,7 @@ import stirling.software.proprietary.service.chatbot.exception.ChatbotException;
@RequiredArgsConstructor
@Slf4j
@ConditionalOnProperty(value = "premium.proFeatures.chatbot.enabled", havingValue = "true")
@ConditionalOnBean(ChatbotService.class)
public class ChatbotController {
private final ChatbotService chatbotService;

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@ -3,6 +3,7 @@ package stirling.software.proprietary.controller;
import java.time.Instant;
import java.util.Map;
import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
@ -11,12 +12,14 @@ import org.springframework.web.bind.annotation.RestControllerAdvice;
import lombok.extern.slf4j.Slf4j;
import stirling.software.proprietary.service.chatbot.ChatbotService;
import stirling.software.proprietary.service.chatbot.exception.ChatbotException;
import stirling.software.proprietary.service.chatbot.exception.NoTextDetectedException;
@RestControllerAdvice(assignableTypes = ChatbotController.class)
@Slf4j
@ConditionalOnProperty(value = "premium.proFeatures.chatbot.enabled", havingValue = "true")
@ConditionalOnBean(ChatbotService.class)
public class ChatbotExceptionHandler {
@ExceptionHandler(NoTextDetectedException.class)

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@ -11,6 +11,7 @@ import org.springframework.context.annotation.DependsOn;
import org.springframework.context.annotation.Lazy;
import org.springframework.security.authentication.ProviderManager;
import org.springframework.security.authentication.dao.DaoAuthenticationProvider;
import org.springframework.security.config.Customizer;
import org.springframework.security.config.annotation.method.configuration.EnableMethodSecurity;
import org.springframework.security.config.annotation.web.builders.HttpSecurity;
import org.springframework.security.config.annotation.web.configuration.EnableWebSecurity;

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@ -16,6 +16,7 @@ import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.openai.OpenAiChatModel;
import org.springframework.ai.openai.OpenAiChatOptions;
import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;
@ -38,6 +39,7 @@ import stirling.software.proprietary.service.chatbot.exception.ChatbotException;
@Slf4j
@RequiredArgsConstructor
@ConditionalOnProperty(value = "premium.proFeatures.chatbot.enabled", havingValue = "true")
@ConditionalOnBean(ChatModel.class)
public class ChatbotConversationService {
private final ChatModel chatModel;

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@ -2,9 +2,7 @@ package stirling.software.proprietary.service.chatbot;
import java.util.Optional;
import org.springframework.core.env.Environment;
import org.springframework.stereotype.Component;
import org.springframework.util.StringUtils;
import stirling.software.common.model.ApplicationProperties;
import stirling.software.common.model.ApplicationProperties.Premium;
@ -15,23 +13,13 @@ import stirling.software.common.model.ApplicationProperties.Premium.ProFeatures.
public class ChatbotFeatureProperties {
private final ApplicationProperties applicationProperties;
private final Environment environment;
public ChatbotFeatureProperties(
ApplicationProperties applicationProperties, Environment environment) {
public ChatbotFeatureProperties(ApplicationProperties applicationProperties) {
this.applicationProperties = applicationProperties;
this.environment = environment;
}
public ChatbotSettings current() {
Chatbot chatbot = resolveChatbot();
String configuredKey = Optional.ofNullable(chatbot.getModels().getApiKey()).orElse("");
String fallbackKey = environment.getProperty("spring.ai.openai.api-key", "");
String apiKey =
StringUtils.hasText(configuredKey)
? configuredKey
: (StringUtils.hasText(fallbackKey) ? fallbackKey : "");
return new ChatbotSettings(
chatbot.isEnabled(),
chatbot.isAlphaWarning(),
@ -40,8 +28,7 @@ public class ChatbotFeatureProperties {
new ChatbotSettings.ModelSettings(
chatbot.getModels().getPrimary(),
chatbot.getModels().getFallback(),
chatbot.getModels().getEmbedding(),
apiKey),
chatbot.getModels().getEmbedding()),
new ChatbotSettings.RagSettings(
chatbot.getRag().getChunkSizeTokens(),
chatbot.getRag().getChunkOverlapTokens(),
@ -77,8 +64,7 @@ public class ChatbotFeatureProperties {
OcrSettings ocr,
AuditSettings audit) {
public record ModelSettings(
String primary, String fallback, String embedding, String apiKey) {}
public record ModelSettings(String primary, String fallback, String embedding) {}
public record RagSettings(int chunkSizeTokens, int chunkOverlapTokens, int topK) {}

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@ -8,6 +8,7 @@ import java.util.UUID;
import org.springframework.ai.embedding.EmbeddingModel;
import org.springframework.ai.embedding.EmbeddingResponse;
import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;
@ -24,6 +25,7 @@ import stirling.software.proprietary.service.chatbot.exception.NoTextDetectedExc
@Service
@ConditionalOnProperty(value = "premium.proFeatures.chatbot.enabled", havingValue = "true")
@ConditionalOnBean(EmbeddingModel.class)
@Slf4j
@RequiredArgsConstructor
public class ChatbotIngestionService {

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@ -7,6 +7,7 @@ import java.util.Optional;
import org.springframework.ai.embedding.EmbeddingModel;
import org.springframework.ai.embedding.EmbeddingResponse;
import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
@ -23,6 +24,7 @@ import stirling.software.proprietary.service.chatbot.exception.ChatbotException;
@RequiredArgsConstructor
@Slf4j
@ConditionalOnProperty(value = "premium.proFeatures.chatbot.enabled", havingValue = "true")
@ConditionalOnBean(EmbeddingModel.class)
public class ChatbotRetrievalService {
private final ChatbotCacheService cacheService;

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@ -3,6 +3,7 @@ package stirling.software.proprietary.service.chatbot;
import java.util.HashMap;
import java.util.Map;
import org.springframework.boot.autoconfigure.condition.ConditionalOnBean;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.stereotype.Service;
@ -18,6 +19,7 @@ import stirling.software.proprietary.service.chatbot.exception.ChatbotException;
@Service
@ConditionalOnProperty(value = "premium.proFeatures.chatbot.enabled", havingValue = "true")
@ConditionalOnBean({ChatbotIngestionService.class, ChatbotConversationService.class})
@Slf4j
@RequiredArgsConstructor
public class ChatbotService {

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@ -0,0 +1,2 @@
spring.ai.openai.enabled=true
spring.ai.openai.api-key=your-proprietary-api-key-here

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@ -591,4 +591,4 @@ Remember, never hard-code text in your templates or Java code. Always use transl
### Chatbot Feature Configuration
- The chatbot backend is disabled unless `premium.proFeatures.chatbot.enabled` is true in `configs/settings.yml`.
- Provide an OpenAI-compatible key through `premium.proFeatures.chatbot.models.apiKey` (preferred) or the `SPRING_AI_OPENAI_API_KEY` environment variable. Without a key the app still boots, but the chatbot beans are not created.
- Provide an OpenAI-compatible key via `SPRING_AI_OPENAI_API_KEY` (or `spring.ai.openai.api-key`) and set `spring.ai.openai.enabled=true` when you want chatbot beans to load. Leaving this property disabled allows the rest of Stirling-PDF to run without AI credentials.

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@ -7,6 +7,9 @@ import { getApiBaseUrl } from '@app/services/apiClientConfig';
const apiClient = axios.create({
baseURL: getApiBaseUrl(),
responseType: 'json',
withCredentials: true,
xsrfCookieName: 'XSRF-TOKEN',
xsrfHeaderName: 'X-XSRF-TOKEN',
});
// Setup interceptors (core does nothing, proprietary adds JWT auth)

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@ -1,5 +1,21 @@
import { AxiosInstance } from 'axios';
export function setupApiInterceptors(_client: AxiosInstance): void {
// Core version: no interceptors to add
function readXsrfToken(): string | undefined {
const match = document.cookie
.split(';')
.map((cookie) => cookie.trim())
.find((cookie) => cookie.startsWith('XSRF-TOKEN='));
return match ? decodeURIComponent(match.substring('XSRF-TOKEN='.length)) : undefined;
}
export function setupApiInterceptors(client: AxiosInstance): void {
client.interceptors.request.use((config) => {
const token = readXsrfToken();
if (token) {
config.headers = config.headers ?? {};
config.headers['X-XSRF-TOKEN'] = token;
}
return config;
});
}