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
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
|
/**
* @license
* Copyright 2025 Google LLC
* SPDX-License-Identifier: Apache-2.0
*/
import {
GenerateContentConfig,
GoogleGenAI,
Part,
Chat,
SchemaUnion,
PartListUnion,
Content,
FunctionDeclaration,
Tool,
} from '@google/genai';
import { CoreSystemPrompt } from './prompts.js';
import process from 'node:process';
import { getFolderStructure } from '../utils/getFolderStructure.js';
import { Turn, ServerTool, ServerGeminiStreamEvent } from './turn.js';
export class GeminiClient {
private ai: GoogleGenAI;
private model: string;
private generateContentConfig: GenerateContentConfig = {
temperature: 0,
topP: 1,
};
private readonly MAX_TURNS = 100;
constructor(apiKey: string, model: string) {
this.ai = new GoogleGenAI({ apiKey: apiKey });
this.model = model;
}
private async getEnvironment(): Promise<Part> {
const cwd = process.cwd();
const today = new Date().toLocaleDateString(undefined, {
weekday: 'long',
year: 'numeric',
month: 'long',
day: 'numeric',
});
const platform = process.platform;
const folderStructure = await getFolderStructure(cwd);
const context = `
Okay, just setting up the context for our chat.
Today is ${today}.
My operating system is: ${platform}
I'm currently working in the directory: ${cwd}
${folderStructure}
`.trim();
return { text: context };
}
async startChat(toolDeclarations: FunctionDeclaration[]): Promise<Chat> {
const envPart = await this.getEnvironment();
// const tools: Tool[] = toolDeclarations.map((declaration) => ({
// functionDeclarations: [declaration],
// }));
// merge all functions into a single tool, as seems to be required for gemini 2.5 series
// can test by asking "what tools do you have?", which lists single function unless merged
const tools: Tool[] = [{ functionDeclarations: toolDeclarations }];
try {
const chat = this.ai.chats.create({
model: this.model,
config: {
systemInstruction: CoreSystemPrompt,
...this.generateContentConfig,
tools: tools,
},
history: [
{
role: 'user',
parts: [envPart],
},
{
role: 'model',
parts: [{ text: 'Got it. Thanks for the context!' }],
},
],
});
return chat;
} catch (error) {
console.error('Error initializing Gemini chat session:', error);
const message = error instanceof Error ? error.message : 'Unknown error.';
throw new Error(`Failed to initialize chat: ${message}`);
}
}
async *sendMessageStream(
chat: Chat,
request: PartListUnion,
availableTools: ServerTool[],
signal?: AbortSignal,
): AsyncGenerator<ServerGeminiStreamEvent> {
let turns = 0;
try {
while (turns < this.MAX_TURNS) {
turns++;
const turn = new Turn(chat, availableTools);
const resultStream = turn.run(request, signal);
for await (const event of resultStream) {
yield event;
}
const confirmations = turn.getConfirmationDetails();
if (confirmations.length > 0) {
break;
}
// What do we do when we have both function responses and confirmations?
const fnResponses = turn.getFunctionResponses();
if (fnResponses.length > 0) {
request = fnResponses;
continue;
} else {
break;
}
}
if (turns >= this.MAX_TURNS) {
console.warn(
'sendMessageStream: Reached maximum tool call turns limit.',
);
}
} catch (error: unknown) {
if (error instanceof Error && error.name === 'AbortError') {
console.log('Gemini stream request aborted by user.');
throw error;
}
console.error(`Error during Gemini stream or tool interaction:`, error);
throw error;
}
}
async generateJson(
contents: Content[],
schema: SchemaUnion,
): Promise<Record<string, unknown>> {
try {
const result = await this.ai.models.generateContent({
model: this.model,
config: {
...this.generateContentConfig,
systemInstruction: CoreSystemPrompt,
responseSchema: schema,
responseMimeType: 'application/json',
},
contents,
});
const responseText = result.text;
if (!responseText) {
throw new Error('API returned an empty response.');
}
try {
const parsedJson = JSON.parse(responseText);
return parsedJson;
} catch (parseError) {
console.error('Failed to parse JSON response:', responseText);
throw new Error(
`Failed to parse API response as JSON: ${parseError instanceof Error ? parseError.message : String(parseError)}`,
);
}
} catch (error) {
console.error('Error generating JSON content:', error);
const message =
error instanceof Error ? error.message : 'Unknown API error.';
throw new Error(`Failed to generate JSON content: ${message}`);
}
}
}
|
