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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") | |
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 "" |