Add temperature fallback for Ollama LLM binding

- Implement OLLAMA_LLM_TEMPERATURE env var
- Fallback to global TEMPERATURE if unset
- Remove redundant OllamaLLMOptions logic
- Update env.example with new setting

env.example

@@ -127,6 +127,8 @@ TIMEOUT=240
 OLLAMA_LLM_NUM_CTX=32768
 ### Stop sequences for Ollama LLM
 # OLLAMA_LLM_STOP='["</s>", "Assistant:", "\n\n"]'
+### If OLLAMA_LLM_TEMPERATURE is not specified, the system will default to the value defined by TEMPERATURE
+# OLLAMA_LLM_TEMPERATURE=0.85
 ### see also env.ollama-binding-options.example for fine tuning ollama
 
 ### Optional for Azure

lightrag/api/config.py

@@ -300,6 +300,17 @@ def parse_args() -> argparse.Namespace:
     # Inject LLM temperature configuration
     args.temperature = get_env_value("TEMPERATURE", DEFAULT_TEMPERATURE, float)
 
+    # Handle Ollama LLM temperature fallback when llm-binding is ollama
+    if args.llm_binding == "ollama":
+        # Check if OLLAMA_LLM_TEMPERATURE is set, if not fallback to global TEMPERATURE
+        ollama_llm_temp = get_env_value("OLLAMA_LLM_TEMPERATURE", None)
+        if ollama_llm_temp is None:
+            # Fallback to global TEMPERATURE value
+            args.ollama_llm_temperature = args.temperature
+        else:
+            # Use the explicitly set OLLAMA_LLM_TEMPERATURE
+            args.ollama_llm_temperature = float(ollama_llm_temp)
+
     # Select Document loading tool (DOCLING, DEFAULT)
     args.document_loading_engine = get_env_value("DOCUMENT_LOADING_ENGINE", "DEFAULT")
 

lightrag/llm/binding_options.py

@@ -8,11 +8,10 @@ bindings and integrations.
 from argparse import ArgumentParser, Namespace
 import argparse
 import json
-import os
-from dataclasses import asdict, dataclass, field, MISSING
+from dataclasses import asdict, dataclass, field
 from typing import Any, ClassVar, List
 
-from lightrag.utils import get_env_value, logger
+from lightrag.utils import get_env_value
 from lightrag.constants import DEFAULT_TEMPERATURE
 
 
@@ -437,44 +436,9 @@ class OllamaEmbeddingOptions(_OllamaOptionsMixin, BindingOptions):
 class OllamaLLMOptions(_OllamaOptionsMixin, BindingOptions):
     """Options for Ollama LLM with specialized configuration for LLM tasks."""
 
-    # Override temperature field to track if it was explicitly set
-    temperature: float = field(default_factory=lambda: MISSING)
-
     # mandatory name of binding
     _binding_name: ClassVar[str] = "ollama_llm"
 
-    def __post_init__(self):
-        """Handle temperature parameter with correct priority logic"""
-        # If temperature was not explicitly set, apply priority logic
-        if self.temperature is MISSING:
-            # Check OLLAMA_LLM_TEMPERATURE first (highest priority for env vars)
-            ollama_temp = os.getenv("OLLAMA_LLM_TEMPERATURE")
-            if ollama_temp is not None:
-                try:
-                    self.temperature = float(ollama_temp)
-                    logger.debug(f"Using OLLAMA_LLM_TEMPERATURE: {self.temperature}")
-                    return
-                except (ValueError, TypeError):
-                    logger.warning(
-                        f"Invalid OLLAMA_LLM_TEMPERATURE value: {ollama_temp}"
-                    )
-
-            # Check TEMPERATURE as fallback
-            general_temp = os.getenv("TEMPERATURE")
-            if general_temp is not None:
-                try:
-                    self.temperature = float(general_temp)
-                    logger.debug(
-                        f"Using TEMPERATURE environment variable: {self.temperature}"
-                    )
-                    return
-                except (ValueError, TypeError):
-                    logger.warning(f"Invalid TEMPERATURE value: {general_temp}")
-
-            # Use default value
-            self.temperature = DEFAULT_TEMPERATURE
-            logger.debug(f"Using default temperature: {self.temperature}")
-
 
 # =============================================================================
 # Additional LLM Provider Bindings