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abtsousa commited on
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2f66bef
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1 Parent(s): 823995c

Refactor agent configuration and model integration

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- Updated API base URL and model name in config.py to use OpenAI's GPT-5.
- Added environment variable for OpenAI API key.
- Removed unused rate limiter and integrated backoff for handling rate limit errors in nodes.py.
- Updated model instantiation to use ChatOpenAI with new parameters.
- Added dotenv support for loading environment variables.
- Updated dependencies in pyproject.toml to include backoff library.
- Adjusted lock file to reflect changes in numpy version and added backoff package.

Files changed (4) hide show
  1. agent/config.py +8 -3
  2. agent/nodes.py +28 -25
  3. pyproject.toml +1 -0
  4. uv.lock +35 -48
agent/config.py CHANGED
@@ -1,9 +1,14 @@
1
  from typing import Literal
2
 
3
- API_BASE_URL = "https://openrouter.ai/api/v1"
4
- MODEL_NAME = "qwen/qwen3-235b-a22b-thinking-2507:floor"
 
 
 
 
 
 
5
  MODEL_TEMPERATURE = 0.7
6
- API_KEY_ENV_VAR = "OPENROUTER_API_KEY"
7
 
8
  def create_agent_config(app_name: str, thread_id: int) -> dict:
9
  """
 
1
  from typing import Literal
2
 
3
+ #API_BASE_URL = "https://openrouter.ai/api/v1"
4
+ #MODEL_NAME = "openai/gpt-oss-120b:floor"
5
+ #API_KEY_ENV_VAR = "OPENROUTER_API_KEY"
6
+
7
+ API_BASE_URL = "https://api.openai.com/v1/"
8
+ MODEL_NAME = "gpt-5"
9
+ API_KEY_ENV_VAR = "OPENAI_API_KEY_ORACLEBOT"
10
+
11
  MODEL_TEMPERATURE = 0.7
 
12
 
13
  def create_agent_config(app_name: str, thread_id: int) -> dict:
14
  """
agent/nodes.py CHANGED
@@ -14,21 +14,19 @@ from agent.prompts import get_system_prompt
14
  from agent.state import State
15
  from langchain_core.messages import SystemMessage, HumanMessage
16
  from langgraph.prebuilt import ToolNode
17
- from langchain_core.rate_limiters import InMemoryRateLimiter
 
 
18
 
19
  from agent.config import API_BASE_URL, MODEL_NAME, API_KEY_ENV_VAR, MODEL_TEMPERATURE
20
 
 
 
 
21
  if API_KEY_ENV_VAR not in os.environ:
22
  print(f"Please set the environment variable {API_KEY_ENV_VAR}.")
23
  os.environ[API_KEY_ENV_VAR] = getpass(f"Enter your {API_KEY_ENV_VAR} (will not be echoed): ")
24
 
25
- # Global singleton rate limiter
26
- _rate_limiter = InMemoryRateLimiter(
27
- requests_per_second=1,
28
- check_every_n_seconds=0.1, # Wake up every 100 ms to check whether allowed to make a request,
29
- max_bucket_size=5, # Controls the maximum burst size.
30
- )
31
-
32
  ### Helper functions ###
33
 
34
  def _get_model() -> BaseChatModel:
@@ -39,27 +37,26 @@ def _get_model() -> BaseChatModel:
39
  # model="gemini-2.5-pro"
40
  # )
41
 
42
- # api_key = os.getenv(API_KEY_ENV_VAR)
43
 
44
- # return ChatOpenAI(
45
- # api_key=SecretStr(api_key) if api_key else None,
46
- # base_url=API_BASE_URL,
47
- # model=MODEL_NAME,
48
- # temperature=MODEL_TEMPERATURE if MODEL_TEMPERATURE else 0.0,
49
- # rate_limiter=_rate_limiter,
50
- # metadata={
51
- # "reasoning": {
52
- # "effort": "high" # Use high reasoning effort
53
- # }
54
- # }
55
- # )
56
-
57
- return ChatDeepSeek(
58
- model="deepseek-chat",
59
  temperature=MODEL_TEMPERATURE if MODEL_TEMPERATURE else 0.0,
60
- max_retries=2
 
 
 
 
61
  )
62
 
 
 
 
 
 
 
63
  def _get_tools() -> list[BaseTool]:
64
  from tools import get_all_tools
65
  return get_all_tools()
@@ -69,6 +66,12 @@ def _bind_model(model: BaseChatModel) -> Runnable[LanguageModelInput, BaseMessag
69
 
70
  ### NODES ###
71
  # Call model node
 
 
 
 
 
 
72
  def call_model(state: State, config) -> dict[str, list[BaseMessage]]:
73
  messages = state["messages"]
74
  app_name = config.get('configurable', {}).get("app_name", "OracleBot")
 
14
  from agent.state import State
15
  from langchain_core.messages import SystemMessage, HumanMessage
16
  from langgraph.prebuilt import ToolNode
17
+ import backoff
18
+ import openai
19
+ import re
20
 
21
  from agent.config import API_BASE_URL, MODEL_NAME, API_KEY_ENV_VAR, MODEL_TEMPERATURE
22
 
23
+ from dotenv import load_dotenv
24
+ load_dotenv()
25
+
26
  if API_KEY_ENV_VAR not in os.environ:
27
  print(f"Please set the environment variable {API_KEY_ENV_VAR}.")
28
  os.environ[API_KEY_ENV_VAR] = getpass(f"Enter your {API_KEY_ENV_VAR} (will not be echoed): ")
29
 
 
 
 
 
 
 
 
30
  ### Helper functions ###
31
 
32
  def _get_model() -> BaseChatModel:
 
37
  # model="gemini-2.5-pro"
38
  # )
39
 
40
+ api_key = os.getenv(API_KEY_ENV_VAR)
41
 
42
+ return ChatOpenAI(
43
+ api_key=SecretStr(api_key) if api_key else None,
44
+ base_url=API_BASE_URL,
45
+ model=MODEL_NAME,
 
 
 
 
 
 
 
 
 
 
 
46
  temperature=MODEL_TEMPERATURE if MODEL_TEMPERATURE else 0.0,
47
+ metadata={
48
+ "reasoning": {
49
+ "effort": "high" # Use high reasoning effort
50
+ }
51
+ }
52
  )
53
 
54
+ # return ChatDeepSeek(
55
+ # model="deepseek-chat",
56
+ # temperature=MODEL_TEMPERATURE if MODEL_TEMPERATURE else 0.0,
57
+ # max_retries=2
58
+ # )
59
+
60
  def _get_tools() -> list[BaseTool]:
61
  from tools import get_all_tools
62
  return get_all_tools()
 
66
 
67
  ### NODES ###
68
  # Call model node
69
+ @backoff.on_exception(
70
+ backoff.runtime,
71
+ openai.RateLimitError,
72
+ value=lambda e: float(match.group(1)) if (match := re.search(r'try again in (\d+(?:\.\d+)?)s', str(e))) else 10.0,
73
+ max_tries=20,
74
+ )
75
  def call_model(state: State, config) -> dict[str, list[BaseMessage]]:
76
  messages = state["messages"]
77
  app_name = config.get('configurable', {}).get("app_name", "OracleBot")
pyproject.toml CHANGED
@@ -6,6 +6,7 @@ readme = "README.md"
6
  requires-python = ">=3.13"
7
  dependencies = [
8
  "arize-phoenix-otel>=0.12.0",
 
9
  "bs4>=0.0.2",
10
  "gradio[oauth]>=5.42.0",
11
  "grandalf>=0.8",
 
6
  requires-python = ">=3.13"
7
  dependencies = [
8
  "arize-phoenix-otel>=0.12.0",
9
+ "backoff>=2.2.1",
10
  "bs4>=0.0.2",
11
  "gradio[oauth]>=5.42.0",
12
  "grandalf>=0.8",
uv.lock CHANGED
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203
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205
  [[package]]
206
  name = "beautifulsoup4"
207
  version = "4.13.4"
@@ -1571,54 +1580,30 @@ wheels = [
1571
 
1572
  [[package]]
1573
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1574
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1607
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1608
 
1609
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1799
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1800
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1801
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1802
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1803
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1804
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1805
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1826
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1827
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1829
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