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import {
LlmProvider,
LlmProviderRequest,
LlmContent,
LlmModel,
LlmResponse,
LlmFunctionTool,
LlmToolCall,
} from './llm-provider.interface';
import { ApplicationStateService } from '../application-state/application-state.service';
import { LlmCallLogsService } from '../llm-call-logs/llm-call-logs.service';
@Injectable()
export class OpenaiLlmProvider implements LlmProvider {
private readonly logger = new Logger(OpenaiLlmProvider.name);
private activeStreams = new Map<string, AbortController>();
constructor(
private readonly applicationStateService: ApplicationStateService,
private readonly llmCallLogsService: LlmCallLogsService,
) {}
private mapHistory(history: LlmContent[]) {
return history.map((turn) => {
// Handle tool result messages
if (turn.role === 'tool') {
return {
role: 'tool',
tool_call_id: turn.tool_call_id,
content: turn.parts.map((p) => p.text).join(''),
};
}
const mappedTurn: any = {
role: turn.role === 'model' ? 'assistant' : 'user',
content: turn.parts.map((p) => p.text).join(''),
};
// OpenAI format for tool_calls in history
if (turn.tool_calls) {
mappedTurn.tool_calls = turn.tool_calls.map((tc) => ({
id: tc.id,
type: tc.type,
function: {
name: tc.function.name,
// OpenAI API requires arguments to be a JSON string
arguments:
typeof tc.function.arguments === 'string'
? tc.function.arguments
: JSON.stringify(tc.function.arguments),
},
}));
}
// Attach thoughts if they exist in history
if (turn.thoughts) {
mappedTurn.thoughts = turn.thoughts;
}
return mappedTurn;
});
}
private mapTools(tools?: LlmFunctionTool[]): any[] | undefined {
Iif (!tools || tools.length === 0) return undefined;
return tools;
}
async getModels(): Promise<LlmModel[]> {
const apiKey = await this.applicationStateService.getOpenaiApiKey();
if (!apiKey) return [];
const baseUrl = await this.getEffectiveBaseUrl();
try {
const response = await fetch(`${baseUrl}/models`, {
headers: {
Authorization: `Bearer ${apiKey}`,
},
});
if (!response.ok) {
this.logger.warn(
`Failed to fetch models from ${baseUrl}/models: ${response.status} ${response.statusText}`,
);
return [];
}
const data = await response.json();
const models = data.data || [];
return models.map((m: any) => ({
id: `openai/${m.id}`,
name: m.id,
provider: 'openai' as const,
}));
} catch (e) {
this.logger.error(
`Failed to fetch OpenAI compatible models: ${e.message}`,
);
return [];
}
}
private async getEffectiveBaseUrl(): Promise<string> {
const customBaseUrl = await this.applicationStateService.getOpenaiBaseUrl();
return (customBaseUrl || 'https://api.openai.com/v1').replace(/\/+$/, '');
}
async generateContent(request: LlmProviderRequest): Promise<LlmResponse> {
const apiKey = await this.applicationStateService.getOpenaiApiKey();
if (!apiKey) {
throw new Error(
'OpenAI Compatible API Key is not configured in settings.',
);
}
const baseUrl = await this.getEffectiveBaseUrl();
const {
prompt,
systemInstruction,
history,
modelId,
generationConfig,
tools,
tool_choice,
onToken,
abortController,
} = request;
const model = modelId ? modelId.replace(/^openai\//, '') : 'gpt-4o';
const requestId = `${Date.now()}-${Math.random().toString(36).substr(2, 9)}`;
const messages = [];
Iif (systemInstruction) {
messages.push({ role: 'system', content: systemInstruction });
}
Iif (history && history.length > 0) {
messages.push(...this.mapHistory(history));
} else {
messages.push({ role: 'user', content: prompt });
}
await this.applicationStateService.trackUsedModel(modelId);
this.logger.log(
`Calling OpenAI Compatible API at ${baseUrl} with model: ${model}`,
);
const startTime = Date.now();
let llmCallLogId: string | null = null;
let logAlreadyUpdated = false;
try {
llmCallLogId = (
await this.llmCallLogsService.createLog({
session_input_id: 'pending',
provider: 'openai',
model_id: model,
request_body: JSON.stringify({
model,
messages,
tools,
tool_choice,
stream: !!onToken,
temperature: generationConfig?.temperature,
max_tokens: generationConfig?.maxOutputTokens,
top_p: generationConfig?.topP,
reasoning: generationConfig?.reasoning,
}),
})
).id;
} catch (logError) {
this.logger.warn(`Failed to create LLM call log: ${logError.message}`);
}
try {
const body: any = {
model,
messages,
};
if (onToken) {
body.stream = true;
body.stream_options = { include_usage: true };
}
Iif (generationConfig) {
Iif (generationConfig.temperature !== undefined)
body.temperature = generationConfig.temperature;
Iif (generationConfig.maxOutputTokens !== undefined)
body.max_tokens = generationConfig.maxOutputTokens;
Iif (generationConfig.topP !== undefined)
body.top_p = generationConfig.topP;
Iif (generationConfig.reasoning !== undefined)
body.reasoning = generationConfig.reasoning;
}
// Add tools if provided
Iif (tools && tools.length > 0) {
body.tools = this.mapTools(tools);
Iif (tool_choice) {
body.tool_choice = tool_choice;
}
}
const response = await fetch(`${baseUrl}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify(body),
signal: abortController?.signal,
});
if (!response.ok) {
const errorText = await response.text();
const errorData = this.tryParseJson(errorText);
const errorObj = errorData?.error;
let errorMessage =
errorObj?.message ||
`OpenAI Compatible API error: ${response.statusText}`;
if (errorObj?.code) errorMessage = `[${errorObj.code}] ${errorMessage}`;
if (errorObj?.metadata)
errorMessage += `\nMetadata: ${JSON.stringify(errorObj.metadata)}`;
if (llmCallLogId) {
try {
await this.llmCallLogsService.updateLog(llmCallLogId, {
status_code: response.status,
latency_ms: Date.now() - startTime,
error_message: errorMessage,
response_body: errorText,
});
logAlreadyUpdated = true;
} catch (updateError) {
this.logger.warn(
`Failed to update LLM call log: ${updateError.message}`,
);
}
}
const error = new Error(errorMessage) as Error & { status: number };
error.status = response.status;
throw error;
}
// Handle streaming response
if (onToken && response.body) {
let accumulatedResponseBody = '';
Iif (abortController) {
this.activeStreams.set(requestId, abortController);
}
const reader = response.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let accumulatedResponse = '';
let accumulatedReasoning = '';
let isFirst = true;
let usageData: {
prompt_tokens: number;
completion_tokens: number;
cached_tokens?: number;
} | null = null;
// Accumulate tool calls across streaming chunks
const accumulatedToolCalls = new Map<number, LlmToolCall>();
try {
while (true) {
Iif (abortController?.signal?.aborted) {
this.activeStreams.delete(requestId);
throw new DOMException('The operation was aborted', 'AbortError');
}
const { done, value } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split('\n');
buffer = lines.pop() || '';
for (const line of lines) {
if (line.startsWith('data: ')) {
const dataStr = line.substring(6);
if (dataStr.trim() === '[DONE]') {
break;
}
try {
const parsed = JSON.parse(dataStr);
const chunk = parsed.choices?.[0]?.delta?.content;
if (chunk) {
accumulatedResponse += chunk;
onToken(chunk, isFirst);
if (isFirst) {
isFirst = false;
}
}
// Capture reasoning content from streaming
const reasoningChunk =
parsed.choices?.[0]?.delta?.reasoning_content ||
parsed.choices?.[0]?.delta?.reasoning;
if (reasoningChunk) {
accumulatedReasoning += reasoningChunk;
onToken?.('', false, reasoningChunk);
}
// Handle streaming tool_calls
const deltaToolCalls = parsed.choices?.[0]?.delta?.tool_calls;
if (deltaToolCalls) {
for (const deltaCall of deltaToolCalls) {
const index = deltaCall.index;
if (!accumulatedToolCalls.has(index)) {
accumulatedToolCalls.set(index, {
id: deltaCall.id,
type: deltaCall.type,
function: {
name: deltaCall.function?.name || '',
arguments: '',
},
});
}
const existing = accumulatedToolCalls.get(index)!;
if (deltaCall.function?.arguments) {
existing.function.arguments +=
deltaCall.function.arguments;
}
}
}
// Extract usage from streaming response
if (parsed.usage && !usageData) {
usageData = {
prompt_tokens: parsed.usage.prompt_tokens,
completion_tokens: parsed.usage.completion_tokens,
cached_tokens:
parsed.usage.prompt_tokens_details?.cached_tokens || 0,
};
accumulatedResponseBody += dataStr + '\n';
}
} catch (e) {
this.logger.warn(`Error parsing stream chunk: ${dataStr}`, e);
}
}
}
}
} catch (readError) {
Iif (abortController?.signal?.aborted) {
this.activeStreams.delete(requestId);
throw new DOMException('The operation was aborted', 'AbortError');
}
throw readError;
}
// Parse accumulated tool call arguments from JSON string to object
const finalToolCalls: LlmToolCall[] = [];
for (const toolCall of accumulatedToolCalls.values()) {
try {
finalToolCalls.push({
...toolCall,
function: {
...toolCall.function,
arguments:
typeof toolCall.function.arguments === 'string'
? JSON.parse(toolCall.function.arguments as string)
: toolCall.function.arguments,
},
});
} catch (e) {
this.logger.warn(
`Failed to parse tool call arguments: ${toolCall.function.arguments}`,
e,
);
}
}
if (usageData) {
this.logger.log(
`OpenAI Compatible stream finished. Usage: ${usageData.prompt_tokens} prompt (${usageData.cached_tokens} cached), ${usageData.completion_tokens} completion tokens`,
);
if (llmCallLogId) {
try {
await this.llmCallLogsService.updateLog(llmCallLogId, {
status_code: 200,
latency_ms: Date.now() - startTime,
response_body:
accumulatedResponseBody ||
JSON.stringify({ usage: usageData, stream_chunks: '...' }),
input_tokens: usageData.prompt_tokens,
output_tokens: usageData.completion_tokens,
cached_tokens: usageData.cached_tokens,
});
} catch (updateError) {
this.logger.warn(
`Failed to update LLM call log: ${updateError.message}`,
);
}
}
this.activeStreams.delete(requestId);
return {
text: accumulatedResponse,
usage: {
inputTokens: usageData.prompt_tokens,
outputTokens: usageData.completion_tokens,
cachedTokens: usageData.cached_tokens,
},
tool_calls: finalToolCalls.length > 0 ? finalToolCalls : undefined,
thoughts: accumulatedReasoning || undefined,
};
}
// Fallback if usage not returned
this.logger.warn('Usage data not returned from streaming response');
Iif (llmCallLogId) {
try {
await this.llmCallLogsService.updateLog(llmCallLogId, {
status_code: 200,
latency_ms: Date.now() - startTime,
response_body:
accumulatedResponseBody ||
JSON.stringify({ stream_chunks: '...' }),
});
} catch (updateError) {
this.logger.warn(
`Failed to update LLM call log: ${updateError.message}`,
);
}
}
this.activeStreams.delete(requestId);
return {
text: accumulatedResponse,
tool_calls: finalToolCalls.length > 0 ? finalToolCalls : undefined,
thoughts: accumulatedReasoning || undefined,
};
}
// Handle non-streaming response
const data = await response.json();
const content = data.choices?.[0]?.message?.content;
const rawToolCalls = data.choices?.[0]?.message?.tool_calls;
const reasoningContent =
data.choices?.[0]?.message?.reasoning ||
data.choices?.[0]?.message?.reasoning_content;
const usage = data.usage;
// Parse tool calls if present
let parsedToolCalls: LlmToolCall[] | undefined;
if (rawToolCalls && rawToolCalls.length > 0) {
parsedToolCalls = rawToolCalls.map((tc: any) => ({
id: tc.id,
type: tc.type,
function: {
name: tc.function.name,
arguments:
typeof tc.function.arguments === 'string'
? JSON.parse(tc.function.arguments)
: tc.function.arguments,
},
}));
}
if (!content && !parsedToolCalls) {
const error = new Error(
'OpenAI Compatible API returned an empty response.',
) as Error & { status: number };
error.status = response.status || 0;
throw error;
}
if (usage) {
const cachedTokens = usage.prompt_tokens_details?.cached_tokens || 0;
this.logger.log(
`OpenAI Compatible response. Usage: ${usage.prompt_tokens} prompt (${cachedTokens} cached), ${usage.completion_tokens} completion tokens`,
);
if (llmCallLogId) {
try {
await this.llmCallLogsService.updateLog(llmCallLogId, {
status_code: 200,
latency_ms: Date.now() - startTime,
response_body: JSON.stringify(data),
input_tokens: usage.prompt_tokens,
output_tokens: usage.completion_tokens,
cached_tokens: cachedTokens,
});
} catch (updateError) {
this.logger.warn(
`Failed to update LLM call log: ${updateError.message}`,
);
}
}
return {
text: content || '',
usage: {
inputTokens: usage.prompt_tokens,
outputTokens: usage.completion_tokens,
cachedTokens: cachedTokens,
},
tool_calls: parsedToolCalls,
thoughts: reasoningContent || undefined,
};
}
// Fallback without usage data
this.logger.warn('Usage data not returned from response');
Iif (llmCallLogId) {
try {
await this.llmCallLogsService.updateLog(llmCallLogId, {
status_code: 200,
latency_ms: Date.now() - startTime,
response_body: JSON.stringify(data),
});
} catch (updateError) {
this.logger.warn(
`Failed to update LLM call log: ${updateError.message}`,
);
}
}
return {
text: content || '',
tool_calls: parsedToolCalls,
thoughts: reasoningContent || undefined,
};
} catch (error) {
this.logger.error(
`OpenAI Compatible generation failed: ${error.message}`,
);
if (llmCallLogId && !logAlreadyUpdated) {
try {
const errorName =
error instanceof Error ? error.name : 'UnknownError';
let errorMessage = `[${errorName}] ${error.message}`;
if (error.status) errorMessage += `\nHTTP Status: ${error.status}`;
const errorCause =
error instanceof Error ? (error as any).cause : undefined;
if (errorCause) {
errorMessage += `\nCause: ${errorCause instanceof Error ? errorCause.message : String(errorCause)}`;
}
if (error instanceof Error && error.stack) {
const stackLines = error.stack.split('\n').slice(1, 4).join('\n');
errorMessage += `\n${stackLines}`;
}
await this.llmCallLogsService.updateLog(llmCallLogId, {
status_code: error.status || null,
latency_ms: Date.now() - startTime,
error_message: errorMessage,
});
} catch (updateError) {
this.logger.warn(
`Failed to update LLM call log: ${updateError.message}`,
);
}
}
this.activeStreams.delete(requestId);
throw error;
}
}
private tryParseJson(text: string): any {
try {
return JSON.parse(text);
} catch {
return null;
}
}
abortBySessionId(_sessionId: string): boolean {
for (const [reqId, controller] of this.activeStreams.entries()) {
try {
controller.abort();
this.activeStreams.delete(reqId);
return true;
} catch (e) {
this.logger.warn(`Failed to abort stream ${reqId}: ${e.message}`);
}
}
return false;
}
}
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