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tiny_agent.py
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152 lines (121 loc) · 4.57 KB
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from openai import OpenAI
class TinyAgent:
def __init__(self, model, tokenizer=None, debug=False, api_key=None):
self.model = model
self.messages = []
self.max_tokens = 10072
self.debug = False
self.reasoning_effort = "low"
self.temperature = 1
self.port = 11434
self.client = OpenAI(api_key=api_key)
def clear_messages(self):
self.messages = list()
def add_message(self,message_type, message):
self.messages.append({"role": message_type, "content":message})
def add_system_message(self, message):
self.add_message("system", message)
def add_user_message(self, message):
self.add_message("user", message)
def add_assistant_message(self, message):
self.add_message("assistant", message)
def set_max_tokens(self, max_tokens):
self.max_tokens = max_tokens
def set_debug(self, debug):
self.debug = debug
def set_reasoning_effort(self, reasoning_effort):
self.reasoning_effort = reasoning_effort
# Added
def set_port(self, port):
self.port = port
# Added
def set_client(self, api_key):
self.port = port
def call(self, prompt="", response_type="text", cache=True):
messages = self.messages.copy()
if prompt:
messages.append({"role": "user", "content":prompt})
if cache:
self.add_user_message(prompt)
if "gpt-5" in self.model:
response = self.client.responses.create(
model=self.model,
input=messages,
reasoning={"effort": self.reasoning_effort},
text={
"format": {
"type": response_type
},
"verbosity": "low"
},
)
reply = response.output_text
elif "gpt-4" in self.model or "o3" in self.model or "o4" in self.model:
response = self.client.responses.create(
model=self.model,
input=messages,
temperature=self.temperature,
max_output_tokens=self.max_tokens,
top_p=1,
text={
"format": {
"type": response_type # "text", "json_object"
}
}
)
reply = response.output_text
#Added
elif "gpt-oss:20b" in self.model or "gpt-oss:120b" in self.model:
client = OpenAI(
base_url=f"http://localhost:{self.port}/v1", # Local Ollama API
api_key="ollama" # Dummy key
)
messages.insert(0, {"role": "system", "content": f"Reasoning: {self.reasoning_effort}"})
response = client.chat.completions.create(
model=self.model,
messages=messages
)
reply = response.choices[0].message.content
#Added
elif "deepseek-r1:70b" in self.model:
client = OpenAI(
base_url=f"http://localhost:{self.port}/v1", # Local Ollama API
api_key="ollama" # Dummy key
)
response = client.chat.completions.create(
model=self.model,
messages=messages,
)
reply = response.choices[0].message.content
reply = re.sub(r"<think>.*?</think>\n\n", "", reply, flags=re.DOTALL)
if self.debug:
print(reply)
if cache:
self.add_assistant_message(reply)
return reply
def load_json(self,s):
import json
try:
return json.loads(s)
except json.JSONDecodeError:
return None
def call_json(self, prompt=""):
self.add_system_message("Reply must be JSON format.")
reply = self.call(prompt=prompt, response_type="json_object")
if not reply:
print("Empty reply")
return None
reply = reply.strip()
if reply.startswith("```json"):
reply = reply[len("```json"):].strip()
if reply.endswith("```"):
reply = reply[:-3].strip()
# Use OR, and guard length
if not (reply.startswith("{") and reply.endswith("}")):
print("Not JSON structure")
return None
try:
return self.load_json(reply)
except Exception:
print("Error parsing JSON")
return None