From ecbb1ed8cb4b2ccaac3e01ad87dd74a318fa134c Mon Sep 17 00:00:00 2001
From: Bagatur <22008038+baskaryan@users.noreply.github.com>
Date: Thu, 14 Sep 2023 15:04:42 -0700
Subject: [PATCH] Replicate params fix (#10603)

---
 libs/langchain/langchain/llms/replicate.py                    | 4 ++--
 libs/langchain/tests/integration_tests/llms/test_replicate.py | 1 +
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/libs/langchain/langchain/llms/replicate.py b/libs/langchain/langchain/llms/replicate.py
index 5d407c40b4142..7a146070ecbb9 100644
--- a/libs/langchain/langchain/llms/replicate.py
+++ b/libs/langchain/langchain/llms/replicate.py
@@ -79,7 +79,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
             logger.warning(
                 "Init param `input` is deprecated, please use `model_kwargs` instead."
             )
-        extra = {**values.get("model_kwargs", {}), **input}
+        extra = {**values.pop("model_kwargs", {}), **input}
         for field_name in list(values):
             if field_name not in all_required_field_names:
                 if field_name in extra:
@@ -96,7 +96,7 @@ def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that api key and python package exists in environment."""
         replicate_api_token = get_from_dict_or_env(
-            values, "REPLICATE_API_TOKEN", "REPLICATE_API_TOKEN"
+            values, "replicate_api_token", "REPLICATE_API_TOKEN"
         )
         values["replicate_api_token"] = replicate_api_token
         return values
diff --git a/libs/langchain/tests/integration_tests/llms/test_replicate.py b/libs/langchain/tests/integration_tests/llms/test_replicate.py
index 9bc183bb8b022..eaa09fc597b7c 100644
--- a/libs/langchain/tests/integration_tests/llms/test_replicate.py
+++ b/libs/langchain/tests/integration_tests/llms/test_replicate.py
@@ -37,6 +37,7 @@ def test_replicate_model_kwargs() -> None:
     )
     short_output = llm("What is LangChain")
     assert len(short_output) < len(long_output)
+    assert llm.model_kwargs == {"max_length": 10, "temperature": 0.01}
 
 
 def test_replicate_input() -> None: