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o1 (has vision) and o3-mini (no vision)

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Thomas Dhome-Casanova
2025-02-03 23:52:04 -08:00
parent 8725445881
commit 31d7b1d096
4 changed files with 26 additions and 14 deletions
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18
computer_use_demo/gradio/agent/vlm_agent.py
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@@ -10,7 +10,7 @@ from anthropic import APIResponse
from anthropic.types import ToolResultBlockParam
from anthropic.types.beta import BetaMessage, BetaTextBlock, BetaToolUseBlock, BetaMessageParam, BetaUsage
from agent.llm_utils.oai import run_oai_interleaved
from agent.llm_utils.oaiclient import run_oai_interleaved
from agent.llm_utils.groqclient import run_groq_interleaved
from agent.llm_utils.utils import is_image_path
import time
@@ -45,6 +45,10 @@ class VLMAgent:
self.model = "deepseek-r1-distill-llama-70b"
elif model == "omniparser + qwen2.5vl":
self.model = "qwen2.5-vl-72b-instruct"
elif model == "omniparser + o1":
self.model = "o1"
elif model == "omniparser + o3-mini":
self.model = "o3-mini"
else:
raise ValueError(f"Model {model} not supported")
@@ -69,9 +73,6 @@ class VLMAgent:
latency_omniparser = parsed_screen['latency']
self.output_callback(f'-- Step {self.step_count}: --', sender="bot")
screen_info = str(parsed_screen['screen_info'])
screenshot_uuid = parsed_screen['screenshot_uuid']
screen_width, screen_height = parsed_screen['width'], parsed_screen['height']
@@ -90,7 +91,7 @@ class VLMAgent:
planner_messages[-1]["content"].append(f"{OUTPUT_DIR}/screenshot_som_{screenshot_uuid}.png")
start = time.time()
if "gpt" in self.model:
if "gpt" in self.model or "o1" in self.model or "o3-mini" in self.model:
vlm_response, token_usage = run_oai_interleaved(
messages=planner_messages,
system=system,
@@ -102,7 +103,12 @@ class VLMAgent:
)
print(f"oai token usage: {token_usage}")
self.total_token_usage += token_usage
self.total_cost += (token_usage * 2.5 / 1000000) # https://openai.com/api/pricing/
if 'gpt' in self.model:
self.total_cost += (token_usage * 2.5 / 1000000) # https://openai.com/api/pricing/
elif 'o1' in self.model:
self.total_cost += (token_usage * 15 / 1000000) # https://openai.com/api/pricing/
elif 'o3-mini' in self.model:
self.total_cost += (token_usage * 1.1 / 1000000) # https://openai.com/api/pricing/
elif "r1" in self.model:
vlm_response, token_usage = run_groq_interleaved(
messages=planner_messages,