Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 | 17x 17x 11x 11x 11x 11x 11x 11x 11x 11x 2x 2x 2x 2x 2x 2x 2x 1x 2x 2x 11x 11x 11x 11x 1x 1x 10x 10x 10x 11x 11x 11x 11x 11x 10x 10x 11x | import { ChatRequest, ChatResponse, Usage } from "../Provider.js";
import { ModelRegistry } from "../../models/ModelRegistry.js";
import { logger } from "../../utils/logger.js";
import { mapSystemMessages } from "../utils.js";
import { fetchWithTimeout } from "../../utils/fetch.js";
interface DeepSeekChatResponse {
id: string;
choices: Array<{
message: {
content: string | null;
reasoning_content?: string | null;
tool_calls?: DeepSeekToolCall[];
};
finish_reason: string;
}>;
usage: {
prompt_tokens: number;
completion_tokens: number;
total_tokens: number;
};
}
interface DeepSeekToolCall {
id: string;
type: string;
function: {
name: string;
arguments: string;
};
}
export class DeepSeekChat {
constructor(
private readonly baseUrl: string,
private readonly apiKey: string
) {}
async execute(request: ChatRequest): Promise<ChatResponse> {
const {
model,
messages,
tools,
max_tokens,
response_format,
thinking: _thinking,
headers: _headers,
requestTimeout,
...rest
} = request;
const mappedMessages = mapSystemMessages(messages, false);
const body: Record<string, unknown> = {
model,
messages: mappedMessages,
...rest
};
if (max_tokens) body.max_tokens = max_tokens;
if (tools && tools.length > 0) body.tools = tools;
if (max_tokens) body.max_tokens = max_tokens;
if (tools && tools.length > 0) body.tools = tools;
// Handle structured output for DeepSeek
if (response_format) {
if (response_format.type === "json_schema") {
body.response_format = { type: "json_object" };
// Append schema instructions to the system prompt or convert to a new system message
const schema = response_format.json_schema;
const schemaString = JSON.stringify(schema?.schema, null, 2);
const instruction = `\n\nIMPORTANT: You must output strictly valid JSON conforming to the following schema:\n${schemaString}\n\nOutput only the JSON object.`;
// Find system message or append to last user message
const messagesList = body.messages as { role: string; content: string }[];
const systemMessage = messagesList.find(
(m) => m.role === "system" || m.role === "developer"
);
Iif (systemMessage) {
systemMessage.content += instruction;
} else {
// Insert system message at the beginning
messagesList.unshift({
role: "system",
content: "You are a helpful assistant." + instruction
});
}
} else E{
body.response_format = response_format;
}
}
const url = `${this.baseUrl}/chat/completions`;
logger.logRequest("DeepSeek", "POST", url, body);
const response = await fetchWithTimeout(
url,
{
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
...request.headers
},
body: JSON.stringify(body)
},
requestTimeout
);
if (!response.ok) {
const errorText = await response.text();
throw new Error(`DeepSeek API error: ${response.status} - ${errorText}`);
}
const json = (await response.json()) as DeepSeekChatResponse;
logger.logResponse("DeepSeek", response.status, response.statusText, json);
const message = json.choices[0]?.message;
const content = message?.content ?? null;
const reasoning = message?.reasoning_content ?? null;
const usage: Usage = {
input_tokens: json.usage.prompt_tokens,
output_tokens: json.usage.completion_tokens,
total_tokens: json.usage.total_tokens
};
const toolCalls = message?.tool_calls?.map((tc) => ({
id: tc.id,
type: "function" as const,
function: {
name: tc.function.name,
arguments: tc.function.arguments
}
}));
Iif (!content && !reasoning && (!toolCalls || toolCalls.length === 0)) {
throw new Error("DeepSeek returned empty response");
}
// deepseek cost calculation if needed, otherwise just return usage
const calculatedUsage = ModelRegistry.calculateCost(usage, model, "deepseek");
const thinkingResult = reasoning ? { text: reasoning } : undefined;
return {
content,
reasoning,
usage: calculatedUsage,
thinking: thinkingResult,
tool_calls: toolCalls
};
}
}
|