fix: Move to gpt5 (#1262)

<!-- .github/pull_request_template.md -->

## Description
<!-- Provide a clear description of the changes in this PR -->

## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.

.env.template

@@ -6,7 +6,7 @@
 #       Default graph database    : Kuzu
 #
 #       These default databases are all file-based, so no extra setup is needed
-#       for local use.
+#       for local use. The data by default will be stored in your .venv
 ###############################################################################
 
 ################################################################################
@@ -16,7 +16,7 @@
 STRUCTURED_OUTPUT_FRAMEWORK="instructor"
 
 LLM_API_KEY="your_api_key"
-LLM_MODEL="openai/gpt-4o-mini"
+LLM_MODEL="openai/gpt-5-mini"
 LLM_PROVIDER="openai"
 LLM_ENDPOINT=""
 LLM_API_VERSION=""
@@ -33,11 +33,20 @@ EMBEDDING_MAX_TOKENS=8191
 
 # If using BAML structured output these env variables will be used
 BAML_LLM_PROVIDER=openai
-BAML_LLM_MODEL="gpt-4o-mini"
+BAML_LLM_MODEL="gpt-5-mini"
 BAML_LLM_ENDPOINT=""
 BAML_LLM_API_KEY="your_api_key"
 BAML_LLM_API_VERSION=""
 
+
+################################################################################
+#  📂 ROOT DIRECTORY FOR DATABASES
+################################################################################
+# Set up the Cognee system directory. Cognee will store system files and databases here.
+# Useful for setting root directory inside docker and also to avoid storing the databases in .venv
+# DATA_ROOT_DIRECTORY='/Users/<user>/Desktop/cognee/.cognee_data/'
+# SYSTEM_ROOT_DIRECTORY='/Users/<user>/Desktop/cognee/.cognee_system/'
+
 ################################################################################
 # 🗄️ Relational database settings
 ################################################################################
@@ -85,12 +94,7 @@ VECTOR_DB_PROVIDER="lancedb"
 VECTOR_DB_URL=
 VECTOR_DB_KEY=
 
-################################################################################
-#  📂 ROOT DIRECTORY IF USING COGNEE LIB INSIDE A DOCKER
-################################################################################
-# Set up the Cognee system directory. Cognee will store system files and databases here.
-# DATA_ROOT_DIRECTORY='/Users/<user>/Desktop/cognee/.cognee_data/'
-# SYSTEM_ROOT_DIRECTORY='/Users/<user>/Desktop/cognee/.cognee_system/'
+
 
 ################################################################################
 #  🔄  MIGRATION (RELATIONAL → GRAPH) SETTINGS
@@ -157,8 +161,8 @@ LITELLM_LOG="ERROR"
 # Uncomment + fill values to switch.
 
 ########## Azure OpenAI #######################################################
-#LLM_MODEL="azure/gpt-4o-mini"
-#LLM_ENDPOINT="https://DNS.azure.com/openai/deployments/gpt-4o-mini"
+#LLM_MODEL="azure/gpt-5-mini"
+#LLM_ENDPOINT="https://DNS.azure.com/openai/deployments/gpt-5-mini"
 #LLM_API_KEY="<<TALK TO YOUR AZURE GUY"
 #LLM_API_VERSION="2024-12-01-preview"
 

.github/workflows/weighted_edges_tests.yml

@@ -31,7 +31,7 @@ jobs:
         python-version: ['3.11', '3.12']
     env:
       LLM_PROVIDER: openai
-      LLM_MODEL: gpt-4o-mini
+      LLM_MODEL: gpt-5-mini
       LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
 
     steps:
@@ -66,7 +66,7 @@ jobs:
             graph_db_provider: "neo4j"
     env:
       LLM_PROVIDER: openai
-      LLM_MODEL: gpt-4o-mini
+      LLM_MODEL: gpt-5-mini
       LLM_ENDPOINT: https://api.openai.com/v1/
       LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
       LLM_API_VERSION: "2024-02-01"
@@ -100,7 +100,7 @@ jobs:
     runs-on: ubuntu-22.04
     env:
       LLM_PROVIDER: openai
-      LLM_MODEL: gpt-4o-mini
+      LLM_MODEL: gpt-5-mini
       LLM_ENDPOINT: https://api.openai.com/v1/
       LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
       LLM_API_VERSION: "2024-02-01"

README.md

@@ -91,7 +91,8 @@ Your contributions are at the core of making this a true open source project. An
 
 ## 📦 Installation
 
-You can install Cognee using either **uv**, **pip**, **poetry** or any other python package manager.
+You can install Cognee using either **pip**, **poetry**, **uv** or any other python package manager.
+
 Cognee supports Python 3.10 to 3.13
 
 ### With pip

cognee-frontend/src/ui/Partials/SettingsModal/Settings.tsx

@@ -34,8 +34,8 @@
 // };
 
 // const defaultModel = {
-//   label: 'gpt-4o-mini',
-//   value: 'gpt-4o-mini',
+//   label: 'gpt-5-mini',
+//   value: 'gpt-5-mini',
 // };
 
 // export default function Settings({ onDone = () => {}, submitButtonText = 'Save' }) {

cognee-mcp/pyproject.toml

@@ -8,7 +8,7 @@ requires-python = ">=3.10"
 dependencies = [
     # For local cognee repo usage remove comment bellow and add absolute path to cognee. Then run `uv sync --reinstall` in the mcp folder on local cognee changes.
 #    "cognee[postgres,codegraph,gemini,huggingface,docs,neo4j] @ file:/Users/vasilije/Projects/tiktok/cognee",
-    "cognee[postgres,codegraph,gemini,huggingface,docs,neo4j]==0.2.1",
+    "cognee[postgres,codegraph,gemini,huggingface,docs,neo4j]==0.2.2",
     "fastmcp>=2.10.0,<3.0.0",
     "mcp>=1.12.0,<2.0.0",
     "uv>=0.6.3,<1.0.0",

cognee-starter-kit/.env.template

@@ -1,6 +1,6 @@
 # In case you choose to use OpenAI provider, just adjust the model and api_key.
 LLM_API_KEY=""
-LLM_MODEL="openai/gpt-4o-mini"
+LLM_MODEL="openai/gpt-5-mini"
 LLM_PROVIDER="openai"
 # Not needed if you use OpenAI
 LLM_ENDPOINT=""

cognee/api/v1/add/add.py

@@ -128,7 +128,7 @@ async def add(
 
         Optional:
         - LLM_PROVIDER: "openai" (default), "anthropic", "gemini", "ollama"
-        - LLM_MODEL: Model name (default: "gpt-4o-mini")
+        - LLM_MODEL: Model name (default: "gpt-5-mini")
         - DEFAULT_USER_EMAIL: Custom default user email
         - DEFAULT_USER_PASSWORD: Custom default user password
         - VECTOR_DB_PROVIDER: "lancedb" (default), "chromadb", "pgvector"

cognee/api/v1/cognify/cognify.py

@@ -91,7 +91,7 @@ async def cognify(
                 - LangchainChunker: Recursive character splitting with overlap
                 Determines how documents are segmented for processing.
         chunk_size: Maximum tokens per chunk. Auto-calculated based on LLM if None.
-                   Formula: min(embedding_max_tokens, llm_max_tokens // 2)
+                   Formula: min(embedding_max_completion_tokens, llm_max_completion_tokens // 2)
                    Default limits: ~512-8192 tokens depending on models.
                    Smaller chunks = more granular but potentially fragmented knowledge.
         ontology_file_path: Path to RDF/OWL ontology file for domain-specific entity types.

cognee/api/v1/responses/models.py

@@ -70,7 +70,7 @@ class ResponseRequest(InDTO):
     tool_choice: Optional[Union[str, Dict[str, Any]]] = "auto"
     user: Optional[str] = None
     temperature: Optional[float] = 1.0
-    max_tokens: Optional[int] = None
+    max_completion_tokens: Optional[int] = None
 
 
 class ToolCallOutput(BaseModel):

cognee/eval_framework/eval_config.py

@@ -25,7 +25,7 @@ class EvalConfig(BaseSettings):
         "EM",
         "f1",
     ]  # Use only 'correctness' for DirectLLM
-    deepeval_model: str = "gpt-4o-mini"
+    deepeval_model: str = "gpt-5-mini"
 
     # Metrics params
     calculate_metrics: bool = True

cognee/infrastructure/databases/vector/embeddings/FastembedEmbeddingEngine.py

@@ -41,11 +41,11 @@ class FastembedEmbeddingEngine(EmbeddingEngine):
         self,
         model: Optional[str] = "openai/text-embedding-3-large",
         dimensions: Optional[int] = 3072,
-        max_tokens: int = 512,
+        max_completion_tokens: int = 512,
     ):
         self.model = model
         self.dimensions = dimensions
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
         self.tokenizer = self.get_tokenizer()
         # self.retry_count = 0
         self.embedding_model = TextEmbedding(model_name=model)
@@ -112,7 +112,9 @@ class FastembedEmbeddingEngine(EmbeddingEngine):
         """
         logger.debug("Loading tokenizer for FastembedEmbeddingEngine...")
 
-        tokenizer = TikTokenTokenizer(model="gpt-4o", max_tokens=self.max_tokens)
+        tokenizer = TikTokenTokenizer(
+            model="gpt-4o", max_completion_tokens=self.max_completion_tokens
+        )
 
         logger.debug("Tokenizer loaded for for FastembedEmbeddingEngine")
         return tokenizer

cognee/infrastructure/databases/vector/embeddings/LiteLLMEmbeddingEngine.py

@@ -57,7 +57,7 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine):
         api_key: str = None,
         endpoint: str = None,
         api_version: str = None,
-        max_tokens: int = 512,
+        max_completion_tokens: int = 512,
     ):
         self.api_key = api_key
         self.endpoint = endpoint
@@ -65,7 +65,7 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine):
         self.provider = provider
         self.model = model
         self.dimensions = dimensions
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
         self.tokenizer = self.get_tokenizer()
         self.retry_count = 0
 
@@ -179,20 +179,29 @@ class LiteLLMEmbeddingEngine(EmbeddingEngine):
         model = self.model.split("/")[-1]
 
         if "openai" in self.provider.lower():
-            tokenizer = TikTokenTokenizer(model=model, max_tokens=self.max_tokens)
+            tokenizer = TikTokenTokenizer(
+                model=model, max_completion_tokens=self.max_completion_tokens
+            )
         elif "gemini" in self.provider.lower():
-            tokenizer = GeminiTokenizer(model=model, max_tokens=self.max_tokens)
+            tokenizer = GeminiTokenizer(
+                model=model, max_completion_tokens=self.max_completion_tokens
+            )
         elif "mistral" in self.provider.lower():
-            tokenizer = MistralTokenizer(model=model, max_tokens=self.max_tokens)
+            tokenizer = MistralTokenizer(
+                model=model, max_completion_tokens=self.max_completion_tokens
+            )
         else:
             try:
                 tokenizer = HuggingFaceTokenizer(
-                    model=self.model.replace("hosted_vllm/", ""), max_tokens=self.max_tokens
+                    model=self.model.replace("hosted_vllm/", ""),
+                    max_completion_tokens=self.max_completion_tokens,
                 )
             except Exception as e:
                 logger.warning(f"Could not get tokenizer from HuggingFace due to: {e}")
                 logger.info("Switching to TikToken default tokenizer.")
-                tokenizer = TikTokenTokenizer(model=None, max_tokens=self.max_tokens)
+                tokenizer = TikTokenTokenizer(
+                    model=None, max_completion_tokens=self.max_completion_tokens
+                )
 
         logger.debug(f"Tokenizer loaded for model: {self.model}")
         return tokenizer

cognee/infrastructure/databases/vector/embeddings/OllamaEmbeddingEngine.py

@@ -30,7 +30,7 @@ class OllamaEmbeddingEngine(EmbeddingEngine):
     Instance variables:
     - model
     - dimensions
-    - max_tokens
+    - max_completion_tokens
     - endpoint
     - mock
     - huggingface_tokenizer_name
@@ -39,7 +39,7 @@ class OllamaEmbeddingEngine(EmbeddingEngine):
 
     model: str
     dimensions: int
-    max_tokens: int
+    max_completion_tokens: int
     endpoint: str
     mock: bool
     huggingface_tokenizer_name: str
@@ -50,13 +50,13 @@ class OllamaEmbeddingEngine(EmbeddingEngine):
         self,
         model: Optional[str] = "avr/sfr-embedding-mistral:latest",
         dimensions: Optional[int] = 1024,
-        max_tokens: int = 512,
+        max_completion_tokens: int = 512,
         endpoint: Optional[str] = "http://localhost:11434/api/embeddings",
         huggingface_tokenizer: str = "Salesforce/SFR-Embedding-Mistral",
     ):
         self.model = model
         self.dimensions = dimensions
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
         self.endpoint = endpoint
         self.huggingface_tokenizer_name = huggingface_tokenizer
         self.tokenizer = self.get_tokenizer()
@@ -132,7 +132,7 @@ class OllamaEmbeddingEngine(EmbeddingEngine):
         """
         logger.debug("Loading HuggingfaceTokenizer for OllamaEmbeddingEngine...")
         tokenizer = HuggingFaceTokenizer(
-            model=self.huggingface_tokenizer_name, max_tokens=self.max_tokens
+            model=self.huggingface_tokenizer_name, max_completion_tokens=self.max_completion_tokens
         )
         logger.debug("Tokenizer loaded for OllamaEmbeddingEngine")
         return tokenizer

cognee/infrastructure/databases/vector/embeddings/config.py

@@ -18,7 +18,7 @@ class EmbeddingConfig(BaseSettings):
     embedding_endpoint: Optional[str] = None
     embedding_api_key: Optional[str] = None
     embedding_api_version: Optional[str] = None
-    embedding_max_tokens: Optional[int] = 8191
+    embedding_max_completion_tokens: Optional[int] = 8191
     huggingface_tokenizer: Optional[str] = None
     model_config = SettingsConfigDict(env_file=".env", extra="allow")
 
@@ -38,7 +38,7 @@ class EmbeddingConfig(BaseSettings):
             "embedding_endpoint": self.embedding_endpoint,
             "embedding_api_key": self.embedding_api_key,
             "embedding_api_version": self.embedding_api_version,
-            "embedding_max_tokens": self.embedding_max_tokens,
+            "embedding_max_completion_tokens": self.embedding_max_completion_tokens,
             "huggingface_tokenizer": self.huggingface_tokenizer,
         }
 

cognee/infrastructure/databases/vector/embeddings/get_embedding_engine.py

@@ -27,7 +27,7 @@ def get_embedding_engine() -> EmbeddingEngine:
         config.embedding_provider,
         config.embedding_model,
         config.embedding_dimensions,
-        config.embedding_max_tokens,
+        config.embedding_max_completion_tokens,
         config.embedding_endpoint,
         config.embedding_api_key,
         config.embedding_api_version,
@@ -41,7 +41,7 @@ def create_embedding_engine(
     embedding_provider,
     embedding_model,
     embedding_dimensions,
-    embedding_max_tokens,
+    embedding_max_completion_tokens,
     embedding_endpoint,
     embedding_api_key,
     embedding_api_version,
@@ -58,7 +58,7 @@ def create_embedding_engine(
           'ollama', or another supported provider.
         - embedding_model: The model to be used for the embedding engine.
         - embedding_dimensions: The number of dimensions for the embeddings.
-        - embedding_max_tokens: The maximum number of tokens for the embeddings.
+        - embedding_max_completion_tokens: The maximum number of tokens for the embeddings.
         - embedding_endpoint: The endpoint for the embedding service, relevant for certain
           providers.
         - embedding_api_key: API key to authenticate with the embedding service, if
@@ -81,7 +81,7 @@ def create_embedding_engine(
         return FastembedEmbeddingEngine(
             model=embedding_model,
             dimensions=embedding_dimensions,
-            max_tokens=embedding_max_tokens,
+            max_completion_tokens=embedding_max_completion_tokens,
         )
 
     if embedding_provider == "ollama":
@@ -90,7 +90,7 @@ def create_embedding_engine(
         return OllamaEmbeddingEngine(
             model=embedding_model,
             dimensions=embedding_dimensions,
-            max_tokens=embedding_max_tokens,
+            max_completion_tokens=embedding_max_completion_tokens,
             endpoint=embedding_endpoint,
             huggingface_tokenizer=huggingface_tokenizer,
         )
@@ -104,5 +104,5 @@ def create_embedding_engine(
         api_version=embedding_api_version,
         model=embedding_model,
         dimensions=embedding_dimensions,
-        max_tokens=embedding_max_tokens,
+        max_completion_tokens=embedding_max_completion_tokens,
     )

cognee/infrastructure/llm/config.py

@@ -18,7 +18,7 @@ class LLMConfig(BaseSettings):
     - llm_api_version
     - llm_temperature
     - llm_streaming
-    - llm_max_tokens
+    - llm_max_completion_tokens
     - transcription_model
     - graph_prompt_path
     - llm_rate_limit_enabled
@@ -35,16 +35,16 @@ class LLMConfig(BaseSettings):
 
     structured_output_framework: str = "instructor"
     llm_provider: str = "openai"
-    llm_model: str = "gpt-4o-mini"
+    llm_model: str = "gpt-5-mini"
     llm_endpoint: str = ""
     llm_api_key: Optional[str] = None
     llm_api_version: Optional[str] = None
     llm_temperature: float = 0.0
     llm_streaming: bool = False
-    llm_max_tokens: int = 16384
+    llm_max_completion_tokens: int = 16384
 
     baml_llm_provider: str = "openai"
-    baml_llm_model: str = "gpt-4o-mini"
+    baml_llm_model: str = "gpt-5-mini"
     baml_llm_endpoint: str = ""
     baml_llm_api_key: Optional[str] = None
     baml_llm_temperature: float = 0.0
@@ -171,7 +171,7 @@ class LLMConfig(BaseSettings):
             "api_version": self.llm_api_version,
             "temperature": self.llm_temperature,
             "streaming": self.llm_streaming,
-            "max_tokens": self.llm_max_tokens,
+            "max_completion_tokens": self.llm_max_completion_tokens,
             "transcription_model": self.transcription_model,
             "graph_prompt_path": self.graph_prompt_path,
             "rate_limit_enabled": self.llm_rate_limit_enabled,

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/anthropic/adapter.py

@@ -23,7 +23,7 @@ class AnthropicAdapter(LLMInterface):
     name = "Anthropic"
     model: str
 
-    def __init__(self, max_tokens: int, model: str = None):
+    def __init__(self, max_completion_tokens: int, model: str = None):
         import anthropic
 
         self.aclient = instructor.patch(
@@ -31,7 +31,7 @@ class AnthropicAdapter(LLMInterface):
         )
 
         self.model = model
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
 
     @sleep_and_retry_async()
     @rate_limit_async
@@ -57,7 +57,7 @@ class AnthropicAdapter(LLMInterface):
 
         return await self.aclient(
             model=self.model,
-            max_tokens=4096,
+            max_completion_tokens=4096,
             max_retries=5,
             messages=[
                 {

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/gemini/adapter.py

@@ -34,7 +34,7 @@ class GeminiAdapter(LLMInterface):
         self,
         api_key: str,
         model: str,
-        max_tokens: int,
+        max_completion_tokens: int,
         endpoint: Optional[str] = None,
         api_version: Optional[str] = None,
         streaming: bool = False,
@@ -44,7 +44,7 @@ class GeminiAdapter(LLMInterface):
         self.endpoint = endpoint
         self.api_version = api_version
         self.streaming = streaming
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
 
     @observe(as_type="generation")
     @sleep_and_retry_async()
@@ -90,7 +90,7 @@ class GeminiAdapter(LLMInterface):
                     model=f"{self.model}",
                     messages=messages,
                     api_key=self.api_key,
-                    max_tokens=self.max_tokens,
+                    max_completion_tokens=self.max_completion_tokens,
                     temperature=0.1,
                     response_format=response_schema,
                     timeout=100,

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/generic_llm_api/adapter.py

@@ -41,7 +41,7 @@ class GenericAPIAdapter(LLMInterface):
         api_key: str,
         model: str,
         name: str,
-        max_tokens: int,
+        max_completion_tokens: int,
         fallback_model: str = None,
         fallback_api_key: str = None,
         fallback_endpoint: str = None,
@@ -50,7 +50,7 @@ class GenericAPIAdapter(LLMInterface):
         self.model = model
         self.api_key = api_key
         self.endpoint = endpoint
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
 
         self.fallback_model = fallback_model
         self.fallback_api_key = fallback_api_key

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/get_llm_client.py

@@ -54,11 +54,15 @@ def get_llm_client():
     # Check if max_token value is defined in liteLLM for given model
     # if not use value from cognee configuration
     from cognee.infrastructure.llm.utils import (
-        get_model_max_tokens,
+        get_model_max_completion_tokens,
     )  # imported here to avoid circular imports
 
-    model_max_tokens = get_model_max_tokens(llm_config.llm_model)
-    max_tokens = model_max_tokens if model_max_tokens else llm_config.llm_max_tokens
+    model_max_completion_tokens = get_model_max_completion_tokens(llm_config.llm_model)
+    max_completion_tokens = (
+        model_max_completion_tokens
+        if model_max_completion_tokens
+        else llm_config.llm_max_completion_tokens
+    )
 
     if provider == LLMProvider.OPENAI:
         if llm_config.llm_api_key is None:
@@ -74,7 +78,7 @@ def get_llm_client():
             api_version=llm_config.llm_api_version,
             model=llm_config.llm_model,
             transcription_model=llm_config.transcription_model,
-            max_tokens=max_tokens,
+            max_completion_tokens=max_completion_tokens,
             streaming=llm_config.llm_streaming,
             fallback_api_key=llm_config.fallback_api_key,
             fallback_endpoint=llm_config.fallback_endpoint,
@@ -94,7 +98,7 @@ def get_llm_client():
             llm_config.llm_api_key,
             llm_config.llm_model,
             "Ollama",
-            max_tokens=max_tokens,
+            max_completion_tokens=max_completion_tokens,
         )
 
     elif provider == LLMProvider.ANTHROPIC:
@@ -102,7 +106,9 @@ def get_llm_client():
             AnthropicAdapter,
         )
 
-        return AnthropicAdapter(max_tokens=max_tokens, model=llm_config.llm_model)
+        return AnthropicAdapter(
+            max_completion_tokens=max_completion_tokens, model=llm_config.llm_model
+        )
 
     elif provider == LLMProvider.CUSTOM:
         if llm_config.llm_api_key is None:
@@ -117,7 +123,7 @@ def get_llm_client():
             llm_config.llm_api_key,
             llm_config.llm_model,
             "Custom",
-            max_tokens=max_tokens,
+            max_completion_tokens=max_completion_tokens,
             fallback_api_key=llm_config.fallback_api_key,
             fallback_endpoint=llm_config.fallback_endpoint,
             fallback_model=llm_config.fallback_model,
@@ -134,7 +140,7 @@ def get_llm_client():
         return GeminiAdapter(
             api_key=llm_config.llm_api_key,
             model=llm_config.llm_model,
-            max_tokens=max_tokens,
+            max_completion_tokens=max_completion_tokens,
             endpoint=llm_config.llm_endpoint,
             api_version=llm_config.llm_api_version,
             streaming=llm_config.llm_streaming,

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/ollama/adapter.py

@@ -30,16 +30,18 @@ class OllamaAPIAdapter(LLMInterface):
     - model
     - api_key
     - endpoint
-    - max_tokens
+    - max_completion_tokens
     - aclient
     """
 
-    def __init__(self, endpoint: str, api_key: str, model: str, name: str, max_tokens: int):
+    def __init__(
+        self, endpoint: str, api_key: str, model: str, name: str, max_completion_tokens: int
+    ):
         self.name = name
         self.model = model
         self.api_key = api_key
         self.endpoint = endpoint
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
 
         self.aclient = instructor.from_openai(
             OpenAI(base_url=self.endpoint, api_key=self.api_key), mode=instructor.Mode.JSON
@@ -159,7 +161,7 @@ class OllamaAPIAdapter(LLMInterface):
                     ],
                 }
             ],
-            max_tokens=300,
+            max_completion_tokens=300,
         )
 
         # Ensure response is valid before accessing .choices[0].message.content

cognee/infrastructure/llm/structured_output_framework/litellm_instructor/llm/openai/adapter.py

@@ -64,7 +64,7 @@ class OpenAIAdapter(LLMInterface):
         api_version: str,
         model: str,
         transcription_model: str,
-        max_tokens: int,
+        max_completion_tokens: int,
         streaming: bool = False,
         fallback_model: str = None,
         fallback_api_key: str = None,
@@ -77,7 +77,7 @@ class OpenAIAdapter(LLMInterface):
         self.api_key = api_key
         self.endpoint = endpoint
         self.api_version = api_version
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
         self.streaming = streaming
 
         self.fallback_model = fallback_model
@@ -301,7 +301,7 @@ class OpenAIAdapter(LLMInterface):
             api_key=self.api_key,
             api_base=self.endpoint,
             api_version=self.api_version,
-            max_tokens=300,
+            max_completion_tokens=300,
             max_retries=self.MAX_RETRIES,
         )
 

cognee/infrastructure/llm/tokenizer/Gemini/adapter.py

@@ -17,10 +17,10 @@ class GeminiTokenizer(TokenizerInterface):
     def __init__(
         self,
         model: str,
-        max_tokens: int = 3072,
+        max_completion_tokens: int = 3072,
     ):
         self.model = model
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
 
         # Get LLM API key from config
         from cognee.infrastructure.databases.vector.embeddings.config import get_embedding_config

cognee/infrastructure/llm/tokenizer/HuggingFace/adapter.py

@@ -14,17 +14,17 @@ class HuggingFaceTokenizer(TokenizerInterface):
 
     Instance variables include:
     - model: str
-    - max_tokens: int
+    - max_completion_tokens: int
     - tokenizer: AutoTokenizer
     """
 
     def __init__(
         self,
         model: str,
-        max_tokens: int = 512,
+        max_completion_tokens: int = 512,
     ):
         self.model = model
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
 
         # Import here to make it an optional dependency
         from transformers import AutoTokenizer

cognee/infrastructure/llm/tokenizer/Mistral/adapter.py

@@ -16,17 +16,17 @@ class MistralTokenizer(TokenizerInterface):
 
     Instance variables include:
     - model: str
-    - max_tokens: int
+    - max_completion_tokens: int
     - tokenizer: MistralTokenizer
     """
 
     def __init__(
         self,
         model: str,
-        max_tokens: int = 3072,
+        max_completion_tokens: int = 3072,
     ):
         self.model = model
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
 
         # Import here to make it an optional dependency
         from mistral_common.tokens.tokenizers.mistral import MistralTokenizer

cognee/infrastructure/llm/tokenizer/TikToken/adapter.py

@@ -13,10 +13,10 @@ class TikTokenTokenizer(TokenizerInterface):
     def __init__(
         self,
         model: Optional[str] = None,
-        max_tokens: int = 8191,
+        max_completion_tokens: int = 8191,
     ):
         self.model = model
-        self.max_tokens = max_tokens
+        self.max_completion_tokens = max_completion_tokens
         # Initialize TikToken for GPT based on model
         if model:
             self.tokenizer = tiktoken.encoding_for_model(self.model)
@@ -93,9 +93,9 @@ class TikTokenTokenizer(TokenizerInterface):
         num_tokens = len(self.tokenizer.encode(text))
         return num_tokens
 
-    def trim_text_to_max_tokens(self, text: str) -> str:
+    def trim_text_to_max_completion_tokens(self, text: str) -> str:
         """
-        Trim the text so that the number of tokens does not exceed max_tokens.
+        Trim the text so that the number of tokens does not exceed max_completion_tokens.
 
         Parameters:
         -----------
@@ -111,13 +111,13 @@ class TikTokenTokenizer(TokenizerInterface):
         num_tokens = self.count_tokens(text)
 
         # If the number of tokens is within the limit, return the text as is
-        if num_tokens <= self.max_tokens:
+        if num_tokens <= self.max_completion_tokens:
             return text
 
         # If the number exceeds the limit, trim the text
         # This is a simple trim, it may cut words in half; consider using word boundaries for a cleaner cut
         encoded_text = self.tokenizer.encode(text)
-        trimmed_encoded_text = encoded_text[: self.max_tokens]
+        trimmed_encoded_text = encoded_text[: self.max_completion_tokens]
         # Decoding the trimmed text
         trimmed_text = self.tokenizer.decode(trimmed_encoded_text)
         return trimmed_text

cognee/infrastructure/llm/utils.py

@@ -32,13 +32,13 @@ def get_max_chunk_tokens():
 
     # We need to make sure chunk size won't take more than half of LLM max context token size
     # but it also can't be bigger than the embedding engine max token size
-    llm_cutoff_point = llm_client.max_tokens // 2  # Round down the division
-    max_chunk_tokens = min(embedding_engine.max_tokens, llm_cutoff_point)
+    llm_cutoff_point = llm_client.max_completion_tokens // 2  # Round down the division
+    max_chunk_tokens = min(embedding_engine.max_completion_tokens, llm_cutoff_point)
 
     return max_chunk_tokens
 
 
-def get_model_max_tokens(model_name: str):
+def get_model_max_completion_tokens(model_name: str):
     """
     Retrieve the maximum token limit for a specified model name if it exists.
 
@@ -56,15 +56,15 @@ def get_model_max_tokens(model_name: str):
 
         Number of max tokens of model, or None if model is unknown
     """
-    max_tokens = None
+    max_completion_tokens = None
 
     if model_name in litellm.model_cost:
-        max_tokens = litellm.model_cost[model_name]["max_tokens"]
-        logger.debug(f"Max input tokens for {model_name}: {max_tokens}")
+        max_completion_tokens = litellm.model_cost[model_name]["max_tokens"]
+        logger.debug(f"Max input tokens for {model_name}: {max_completion_tokens}")
     else:
         logger.info("Model not found in LiteLLM's model_cost.")
 
-    return max_tokens
+    return max_completion_tokens
 
 
 async def test_llm_connection():

cognee/modules/settings/get_settings.py

@@ -88,8 +88,8 @@ def get_settings() -> SettingsDict:
                 "models": {
                     "openai": [
                         {
-                            "value": "gpt-4o-mini",
-                            "label": "gpt-4o-mini",
+                            "value": "gpt-5-mini",
+                            "label": "gpt-5-mini",
                         },
                         {
                             "value": "gpt-4o",

evals/old/comparative_eval/helpers/modal_evaluate_answers.py

@@ -121,7 +121,7 @@ async def main():
         evaluation_metrics=["correctness", "EM", "f1"],
         calculate_metrics=True,
         dashboard=True,
-        deepeval_model="gpt-4o-mini",
+        deepeval_model="gpt-5-mini",
     ).to_dict()
 
     logger.info(f"Starting evaluation of {len(json_file_paths)} JSON files")

evals/old/falkor_01042025/hotpot_qa_falkor_graphrag_sdk.py

@@ -35,7 +35,7 @@ def _get_sources_from_corpus_json(corpus_file, limit=None, batch_size=None):
 def create_ontology(
     corpus_file="hotpot_50_corpus.json",
     output_file="hotpot_qa_ontology.json",
-    model_name="gpt-4o-mini",
+    model_name="gpt-5-mini",
 ):
     """Creates ontology from corpus data."""
     print(f"Loading corpus from {corpus_file}...")
@@ -67,7 +67,7 @@ def create_knowledge_graph(
     ontology_file="hotpot_qa_ontology.json",
     corpus_file="hotpot_50_corpus.json",
     kg_name="hotpot_qa_kg",
-    model_name="gpt-4o-mini",
+    model_name="gpt-5-mini",
     host="127.0.0.1",
     port=6379,
     username=None,
@@ -208,11 +208,11 @@ if __name__ == "__main__":
         # Ontology parameters
         corpus_file: str = "hotpot_50_corpus.json"
         ontology_file: str = "hotpot_qa_ontology.json"
-        ontology_model: str = "gpt-4o-mini"
+        ontology_model: str = "gpt-5-mini"
 
         # Knowledge graph parameters
         kg_name: str = "hotpot_qa"
-        kg_model: str = "gpt-4o-mini"
+        kg_model: str = "gpt-5-mini"
         kg_host: str = "127.0.0.1"
         kg_port: int = 6379
         kg_recreate: bool = False

evals/old/graphiti_01042025/hotpot_qa_graphiti.py

@@ -50,7 +50,7 @@ async def search_graphiti(query: str, graphiti_client: Graphiti, num_results: in
 
 async def answer_questions(
     graphiti: Graphiti,
-    model_name: str = "gpt-4o-mini",
+    model_name: str = "gpt-5-mini",
     qa_pairs_file: str = "hotpot_50_qa_pairs.json",
     print_results: bool = True,
     output_file: str = None,
@@ -173,7 +173,7 @@ if __name__ == "__main__":
         corpus_limit: int = None  # Limit number of documents to process
 
         # Model parameters
-        model_name: str = "gpt-4o-mini"
+        model_name: str = "gpt-5-mini"
 
         # QA parameters
         qa_pairs_file: str = "hotpot_50_qa_pairs.json"

evals/old/mem0_01042025/hotpot_qa_mem0.py

@@ -41,7 +41,7 @@ def load_corpus_to_memory(
 def answer_questions(
     memory: Memory,
     openai_client: OpenAI,
-    model_name: str = "gpt-4o-mini",
+    model_name: str = "gpt-5-mini",
     user_id: str = "hotpot_qa_user",
     qa_pairs_file: str = "hotpot_50_qa_pairs.json",
     print_results: bool = True,
@@ -150,7 +150,7 @@ if __name__ == "__main__":
         user_id: str = "hotpot_qa_user"
 
         # Model parameters
-        model_name: str = "gpt-4o-mini"
+        model_name: str = "gpt-5-mini"
 
         # QA parameters
         qa_pairs_file: str = "hotpot_50_qa_pairs.json"

evals/src/helpers/modal_evaluate_answers.py

@@ -121,7 +121,7 @@ async def main():
         evaluation_metrics=["correctness", "EM", "f1"],
         calculate_metrics=True,
         dashboard=True,
-        deepeval_model="gpt-4o-mini",
+        deepeval_model="gpt-5-mini",
     ).to_dict()
 
     logger.info(f"Starting evaluation of {len(json_file_paths)} JSON files")

evals/src/qa/qa_benchmark_graphiti.py

@@ -26,7 +26,7 @@ class GraphitiConfig(QABenchmarkConfig):
     db_password: str = os.getenv("NEO4J_PASSWORD")
 
     # Model parameters
-    # model_name: str = "gpt-4o-mini"
+    # model_name: str = "gpt-5-mini"
     model_name: str = "gpt-4o"
 
     # Default results file
@@ -43,7 +43,7 @@ class QABenchmarkGraphiti(QABenchmarkRAG):
 
     async def initialize_rag(self) -> Any:
         """Initialize Graphiti and LLM."""
-        llm_config = LLMConfig(model=self.config.model_name, max_tokens=65536)
+        llm_config = LLMConfig(model=self.config.model_name, max_completion_tokens=65536)
         llm_client = OpenAIClient(config=llm_config)
         graphiti = Graphiti(
             self.config.db_url,

evals/src/qa/qa_benchmark_mem0.py

@@ -19,7 +19,7 @@ class Mem0Config(QABenchmarkConfig):
     user_id: str = "hotpot_qa_user"
 
     # Model parameters
-    # model_name: str = "gpt-4o-mini"
+    # model_name: str = "gpt-5-mini"
     model_name: str = "gpt-4o"
 
     # Default results file

examples/python/cognee_simple_document_demo.py

@@ -3,7 +3,7 @@ import cognee
 
 import os
 
-# By default cognee uses OpenAI's gpt-4o-mini LLM model
+# By default cognee uses OpenAI's gpt-5-mini LLM model
 # Provide your OpenAI LLM API KEY
 os.environ["LLM_API_KEY"] = ""
 

notebooks/cognee_simple_demo.ipynb

@@ -29,7 +29,7 @@
    "id": "f51e92e9fdcf77b7",
    "metadata": {},
    "source": [
-    " By default cognee uses OpenAI's gpt-4o-mini LLM model.\n",
+    " By default cognee uses OpenAI's gpt-5-mini LLM model.\n",
     "\n",
     " Provide your OpenAI LLM API KEY in the step bellow. Here's a guide on how to get your [OpenAI API key](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key)."
    ]
@@ -208,11 +208,11 @@
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:16:56 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:16:56 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:16:57 - LiteLLM:INFO\u001B[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001B[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001B[0m\u001B[92m20:16:59 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001B[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001B[0m\u001B[92m20:16:59 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001B[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001B[0m"
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001B[0m\u001B[92m20:16:59 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001B[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001B[0m\u001B[92m20:16:59 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001B[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001B[0m"
      ]
     },
     {
@@ -264,11 +264,11 @@
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:17:03 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:17:03 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:17:03 - LiteLLM:INFO\u001B[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001B[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001B[0m\u001B[92m20:17:05 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001B[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001B[0m\u001B[92m20:17:05 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001B[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001B[0m"
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001B[0m\u001B[92m20:17:05 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001B[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001B[0m\u001B[92m20:17:05 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001B[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001B[0m"
      ]
     },
     {
@@ -320,11 +320,11 @@
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:17:06 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:17:07 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001B[1mselected model name for cost calculation: openai/text-embedding-3-large\u001B[0m\u001B[92m20:17:07 - LiteLLM:INFO\u001B[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001B[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001B[0m\u001B[92m20:17:08 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001B[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001B[0m\u001B[92m20:17:08 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001B[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001B[0m"
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001B[0m\u001B[92m20:17:08 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001B[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001B[0m\u001B[92m20:17:08 - LiteLLM:INFO\u001B[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001B[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001B[0m"
      ]
     },
     {

notebooks/ontology_demo.ipynb

@@ -192,12 +192,12 @@
      "text": [
       "\n",
       "\u001b[1mLangfuse client is disabled since no public_key was provided as a parameter or environment variable 'LANGFUSE_PUBLIC_KEY'. See our docs: https://langfuse.com/docs/sdk/python/low-level-sdk#initialize-client\u001b[0m\u001b[92m20:23:36 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:23:37 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\n",
-      "\u001b[1mEmbeddingRateLimiter initialized: enabled=False, requests_limit=60, interval_seconds=60\u001b[0m\u001b[92m20:23:37 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:37 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:23:37 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\n",
+      "\u001b[1mEmbeddingRateLimiter initialized: enabled=False, requests_limit=60, interval_seconds=60\u001b[0m\u001b[92m20:23:37 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:37 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\n",
       "\u001b[2m2025-06-18T18:23:38.051934\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mPipeline run started: `2bec40b8-e3d1-54ab-bfc5-eb5d4695ce63`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks(tasks: [Task], data)\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:23:38.052396\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `resolve_data_directories`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
@@ -225,36 +225,36 @@
       "\u001b[2m2025-06-18T18:23:38.513906\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:23:38.517146\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:23:38.799196\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:23:38 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:23:49 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:49 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:56 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:56 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:57 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:57 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:59 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:23:59 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:23:49 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:49 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:56 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:56 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:57 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:57 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:59 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:23:59 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\n",
       "\u001b[2m2025-06-18T18:23:59.600042\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'concept' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:23:59.600534\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'coffee consumption' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:23:59.600963\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'cardiovascular health' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
@@ -336,36 +336,36 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:04.634561\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:04 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:10 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:10.329954\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\u001b[92m20:24:11 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:12 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:13 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -403,11 +403,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:16 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:17 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:19 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:19 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:19 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:19 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:19 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:19 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:20 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:20 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:20 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -431,11 +431,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:21 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:21 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:21 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:24 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:24 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:24 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:24 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:24 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -459,11 +459,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:25 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:26 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:26 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:29 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:29 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:29 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:29 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -487,11 +487,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:31 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:31 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m"
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m"
      ]
     },
     {
@@ -580,36 +580,36 @@
       "\u001b[2m2025-06-18T18:24:33.516136\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `check_permissions_on_dataset`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:33.519493\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mAsync Generator task started: `extract_chunks_from_documents`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:33.807889\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `extract_graph_from_data`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:33 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:42 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:42 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:43 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:43 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:46 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:46 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:52 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:52 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:42 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:42 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:43 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:43 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:46 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:46 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:52 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:52 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:24:53 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:53.860301\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'person' in category 'classes'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:53.860877\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'laura torres-collado' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:53.861358\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mNo close match found for 'laura maría compañ-gabucio' in category 'individuals'\u001b[0m [\u001b[0m\u001b[1m\u001b[34mOntologyAdapter\u001b[0m]\u001b[0m\n",
@@ -723,36 +723,36 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\n",
       "\u001b[2m2025-06-18T18:24:58.280117\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `summarize_text`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:24:58 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:02 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:02 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:01 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:02 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:02 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:05 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:06 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\n",
       "\u001b[2m2025-06-18T18:25:06.543776\u001b[0m [\u001b[32m\u001b[1minfo     \u001b[0m] \u001b[1mCoroutine task started: `add_data_points`\u001b[0m [\u001b[0m\u001b[1m\u001b[34mrun_tasks_base\u001b[0m]\u001b[0m\u001b[92m20:25:07 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:08 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:09 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -790,11 +790,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:14 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:15 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:15 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:17 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -818,11 +818,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:20 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:20 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:20 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:25:22 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:22 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:25:22 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:22 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:23 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -846,11 +846,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:24 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:24 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:24 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:27 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:28 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
@@ -874,11 +874,11 @@
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:28 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:28 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/text-embedding-3-large\n",
       "\u001b[1mselected model name for cost calculation: openai/text-embedding-3-large\u001b[0m\u001b[92m20:25:28 - LiteLLM:INFO\u001b[0m: utils.py:3101 - \n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\n",
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\n",
       "\u001b[1m\n",
-      "LiteLLM completion() model= gpt-4o-mini; provider = openai\u001b[0m\u001b[92m20:25:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m\u001b[92m20:25:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\n",
-      "\u001b[1mselected model name for cost calculation: openai/gpt-4o-mini-2024-07-18\u001b[0m"
+      "LiteLLM completion() model= gpt-5-mini; provider = openai\u001b[0m\u001b[92m20:25:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m\u001b[92m20:25:30 - LiteLLM:INFO\u001b[0m: cost_calculator.py:655 - selected model name for cost calculation: openai/gpt-5-mini-2024-07-18\n",
+      "\u001b[1mselected model name for cost calculation: openai/gpt-5-mini-2024-07-18\u001b[0m"
      ]
     },
     {

pyproject.toml

@@ -96,7 +96,7 @@ huggingface = ["transformers>=4.46.3,<5"]
 ollama = ["transformers>=4.46.3,<5"]
 mistral = ["mistral-common>=1.5.2,<2"]
 anthropic = ["anthropic>=0.26.1,<0.27"]
-deepeval = ["deepeval>=2.0.1,<3"]
+deepeval = ["deepeval>=3.0.1,<4"]
 posthog = ["posthog>=3.5.0,<4"]
 falkordb = ["falkordb>=1.0.9,<2.0.0"]
 groq = ["groq>=0.8.0,<1.0.0"]