File size: 8,381 Bytes
0b5120b fb7fffa 0b5120b a8f1461 0b5120b |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 |
import os
import requests
from typing import List, Dict, Any
def GrokApi(
system_prompt: str,
user_input: str,
tools: List[Dict[str, Any]] = None,
tool_choice: str = "auto",
reasoning_effort: str = "default", #"default",json, text, verbose_json
response_format: Dict[str, Any] = None,
temperature: float = 0.3,
max_completion_tokens: int = 2000,
include_reasoning: str = False # True
) -> str:
"""
Make a request to the Grok API and return the response content, supporting tool usage and agentic features.
Args:
system_prompt (str): The system prompt to set the context.
user_input (str): The user input to process.
tools (List[Dict[str, Any]], optional): List of tool definitions for tool-calling.
tool_choice (str, optional): Controls tool usage ("none", "auto", "required"). Defaults to "auto".
reasoning_effort (str, optional): Reasoning mode for Qwen3 models ("none", "default"). Defaults to "default".
response_format (Dict[str, Any], optional): Format for structured outputs (e.g., JSON schema).
temperature (float, optional): Sampling temperature (0 to 2). Defaults to 0.7 for determinism.
max_completion_tokens (int, optional): Max tokens in response. Defaults to 1000.
Returns:
str: The content of the assistant's response or tool call results, or empty string on error.
"""
# Retrieve API key from environment
#api_key = os.getenv("GROQ_API_KEY")
api_key=os.getenv("groq_api")
if not api_key:
print("Grok API error: GROQ_API_KEY environment variable not set")
return ""
# API endpoint
api_url = "https://api.groq.com/openai/v1/chat/completions"
# Prepare messages in Grok API format
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_input}
]
# Prepare payload
payload = {
"model": "qwen/qwen3-32b",
"messages": messages,
"temperature": max(0, min(temperature, 2)), # Clamp to valid range [0, 2]
"include_reasoning": include_reasoning,
"max_completion_tokens": max_completion_tokens
}
# Add tools and tool_choice if provided
if tools:
payload["tools"] = tools
if tool_choice in ["none", "auto", "required"]:
payload["tool_choice"] = tool_choice
else:
print(f"Grok API warning: Invalid tool_choice '{tool_choice}', defaulting to 'auto'")
payload["tool_choice"] = "auto"
# Add reasoning_effort for Qwen3 models
if reasoning_effort in ["none", "default"]:
payload["reasoning_effort"] = reasoning_effort
else:
print(f"Grok API warning: Invalid reasoning_effort '{reasoning_effort}', defaulting to 'default'")
payload["reasoning_effort"] = "default"
# Add response_format if provided
if response_format:
payload["response_format"] = response_format
# Set headers
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}"
}
try:
# Make API request
response = requests.post(api_url, headers=headers, json=payload, timeout=60)
response.raise_for_status()
# Parse response
result = response.json()
choice = result.get("choices", [{}])[0]
message = choice.get("message", {})
# Handle tool calls if present
if "tool_calls" in message:
tool_calls = message["tool_calls"]
tool_results = []
for tool_call in tool_calls:
tool_name = tool_call.get("function", {}).get("name", "")
tool_args = tool_call.get("function", {}).get("arguments", "{}")
tool_results.append(f"Tool Call: {tool_name} with args {tool_args}")
return "; ".join(tool_results) # Combine tool call results into a single string
# Return assistant content if no tool calls
content = message.get("content", "")
return content.strip()
except requests.exceptions.HTTPError as e:
print(f"Grok API error: HTTP {e.response.status_code} - {e.response.text}")
return ""
except requests.exceptions.RequestException as e:
print(f"Grok API error: Network error - {e}")
return ""
except (KeyError, ValueError) as e:
print(f"Grok API error: Unexpected response format - {e}")
return ""
except Exception as e:
print(f"Grok API error: Unexpected error - {e}")
return ""
def open_oss_get_llm_response(
system_prompt: str,
user_input: str,
tools: List[Dict[str, Any]] = None,
tool_choice: str = "auto",
temperature: float = 0.1,
max_completion_tokens: int = 3000
) -> str:
"""
Make a request to the Grok API and return the response content, supporting tool usage and agentic features.
Args:
system_prompt (str): The system prompt to set the context.
user_input (str): The user input to process.
tools (List[Dict[str, Any]], optional): List of tool definitions for tool-calling.
tool_choice (str, optional): Controls tool usage ("none", "auto", "required"). Defaults to "auto".
temperature (float, optional): Sampling temperature (0 to 2). Defaults to 0.7 for determinism.
max_completion_tokens (int, optional): Max tokens in response. Defaults to 1000.
Returns:
str: The content of the assistant's response or tool call results, or empty string on error.
"""
# Retrieve API key from environment
api_key = os.getenv("GROQ_API_KEY")
if not api_key:
print("Grok API error: GROQ_API_KEY environment variable not set")
return ""
# API endpoint
api_url = "https://api.groq.com/openai/v1/chat/completions"
# Prepare messages in Grok API format
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_input}
]
# Prepare payload
payload = {
"model": "openai/gpt-oss-20b",
"messages": messages,
"temperature": max(0, min(temperature, 2)), # Clamp to valid range [0, 2]
"max_completion_tokens": max_completion_tokens,
"reasoning_effort": "medium"
}
# Add tools and tool_choice if provided
if tools:
payload["tools"] = tools
if tool_choice in ["none", "auto", "required"]:
payload["tool_choice"] = tool_choice
else:
print(f"Grok API warning: Invalid tool_choice '{tool_choice}', defaulting to 'auto'")
payload["tool_choice"] = "auto"
# Set headers
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {api_key}"
}
try:
# Make API request
response = requests.post(api_url, headers=headers, json=payload, timeout=60)
response.raise_for_status()
# Parse response
result = response.json()
choice = result.get("choices", [{}])[0]
message = choice.get("message", {})
# Handle tool calls if present
if "tool_calls" in message:
tool_calls = message["tool_calls"]
tool_results = []
for tool_call in tool_calls:
tool_name = tool_call.get("function", {}).get("name", "")
tool_args = tool_call.get("function", {}).get("arguments", "{}")
tool_results.append(f"Tool Call: {tool_name} with args {tool_args}")
return "; ".join(tool_results) # Combine tool call results into a single string
# Return assistant content if no tool calls
content = message.get("content", "")
return content.strip()
except requests.exceptions.HTTPError as e:
print(f"Grok API error: HTTP {e.response.status_code} - {e.response.text}")
return ""
except requests.exceptions.RequestException as e:
print(f"Grok API error: Network error - {e}")
return ""
except (KeyError, ValueError) as e:
print(f"Grok API error: Unexpected response format - {e}")
return ""
except Exception as e:
print(f"Grok API error: Unexpected error - {e}")
return "" |