diff --git a/libs/langchain/langchain/agents/agent_toolkits/openapi/planner.py b/libs/langchain/langchain/agents/agent_toolkits/openapi/planner.py
index 6e2ab4483d..759891d030 100644
--- a/libs/langchain/langchain/agents/agent_toolkits/openapi/planner.py
+++ b/libs/langchain/langchain/agents/agent_toolkits/openapi/planner.py
@@ -19,10 +19,12 @@ from langchain.agents.agent_toolkits.openapi.planner_prompt import (
     PARSING_GET_PROMPT,
     PARSING_PATCH_PROMPT,
     PARSING_POST_PROMPT,
+    PARSING_PUT_PROMPT,
     REQUESTS_DELETE_TOOL_DESCRIPTION,
     REQUESTS_GET_TOOL_DESCRIPTION,
     REQUESTS_PATCH_TOOL_DESCRIPTION,
     REQUESTS_POST_TOOL_DESCRIPTION,
+    REQUESTS_PUT_TOOL_DESCRIPTION,
 )
 from langchain.agents.agent_toolkits.openapi.spec import ReducedOpenAPISpec
 from langchain.agents.mrkl.base import ZeroShotAgent
@@ -151,6 +153,35 @@ class RequestsPatchToolWithParsing(BaseRequestsTool, BaseTool):
         raise NotImplementedError()
 
 
+class RequestsPutToolWithParsing(BaseRequestsTool, BaseTool):
+    """Requests PUT tool with LLM-instructed extraction of truncated responses."""
+
+    name: str = "requests_put"
+    """Tool name."""
+    description = REQUESTS_PUT_TOOL_DESCRIPTION
+    """Tool description."""
+    response_length: Optional[int] = MAX_RESPONSE_LENGTH
+    """Maximum length of the response to be returned."""
+    llm_chain: LLMChain = Field(
+        default_factory=_get_default_llm_chain_factory(PARSING_PUT_PROMPT)
+    )
+    """LLMChain used to extract the response."""
+
+    def _run(self, text: str) -> str:
+        try:
+            data = json.loads(text)
+        except json.JSONDecodeError as e:
+            raise e
+        response = self.requests_wrapper.put(data["url"], data["data"])
+        response = response[: self.response_length]
+        return self.llm_chain.predict(
+            response=response, instructions=data["output_instructions"]
+        ).strip()
+
+    async def _arun(self, text: str) -> str:
+        raise NotImplementedError()
+
+
 class RequestsDeleteToolWithParsing(BaseRequestsTool, BaseTool):
     """A tool that sends a DELETE request and parses the response."""
 
diff --git a/libs/langchain/langchain/agents/agent_toolkits/openapi/planner_prompt.py b/libs/langchain/langchain/agents/agent_toolkits/openapi/planner_prompt.py
index 9d1688d853..c7263e68be 100644
--- a/libs/langchain/langchain/agents/agent_toolkits/openapi/planner_prompt.py
+++ b/libs/langchain/langchain/agents/agent_toolkits/openapi/planner_prompt.py
@@ -24,6 +24,7 @@ GET /user to get information about the current user
 GET /products/search search across products
 POST /users/{{id}}/cart to add products to a user's cart
 PATCH /users/{{id}}/cart to update a user's cart
+PUT /users/{{id}}/coupon to apply idempotent coupon to a user's cart
 DELETE /users/{{id}}/cart to delete a user's cart
 
 User query: tell me a joke
@@ -39,6 +40,10 @@ Plan: 1. GET /products with a query param to search for lamps
 2. GET /user to find the user's id
 3. PATCH /users/{{id}}/cart to add a lamp to the user's cart
 
+User query: I want to add a coupon to my cart
+Plan: 1. GET /user to find the user's id
+2. PUT /users/{{id}}/coupon to apply the coupon
+
 User query: I want to delete my cart
 Plan: 1. GET /user to find the user's id
 2. DELETE required. Did user specify DELETE or previously authorize? Yes, proceed.
@@ -195,6 +200,23 @@ Output:""",
     input_variables=["response", "instructions"],
 )
 
+REQUESTS_PUT_TOOL_DESCRIPTION = """Use this when you want to PUT to a website.
+Input to the tool should be a json string with 3 keys: "url", "data", and "output_instructions".
+The value of "url" should be a string.
+The value of "data" should be a dictionary of key-value pairs you want to PUT to the url.
+The value of "output_instructions" should be instructions on what information to extract from the response, for example the id(s) for a resource(s) that the PUT request creates.
+Always use double quotes for strings in the json string."""
+
+PARSING_PUT_PROMPT = PromptTemplate(
+    template="""Here is an API response:\n\n{response}\n\n====
+Your task is to extract some information according to these instructions: {instructions}
+When working with API objects, you should usually use ids over names. Do not return any ids or names that are not in the response.
+If the response indicates an error, you should instead output a summary of the error.
+
+Output:""",
+    input_variables=["response", "instructions"],
+)
+
 REQUESTS_DELETE_TOOL_DESCRIPTION = """ONLY USE THIS TOOL WHEN THE USER HAS SPECIFICALLY REQUESTED TO DELETE CONTENT FROM A WEBSITE.
 Input to the tool should be a json string with 2 keys: "url", and "output_instructions".
 The value of "url" should be a string.
diff --git a/libs/langchain/langchain/agents/agent_toolkits/openapi/spec.py b/libs/langchain/langchain/agents/agent_toolkits/openapi/spec.py
index 35b104c4a3..8f5699390c 100644
--- a/libs/langchain/langchain/agents/agent_toolkits/openapi/spec.py
+++ b/libs/langchain/langchain/agents/agent_toolkits/openapi/spec.py
@@ -31,12 +31,12 @@ def reduce_openapi_spec(spec: dict, dereference: bool = True) -> ReducedOpenAPIS
     I was hoping https://openapi.tools/ would have some useful bits
     to this end, but doesn't seem so.
     """
-    # 1. Consider only get, post, patch, delete endpoints.
+    # 1. Consider only get, post, patch, put, delete endpoints.
     endpoints = [
         (f"{operation_name.upper()} {route}", docs.get("description"), docs)
         for route, operation in spec["paths"].items()
         for operation_name, docs in operation.items()
-        if operation_name in ["get", "post", "patch", "delete"]
+        if operation_name in ["get", "post", "patch", "put", "delete"]
     ]
 
     # 2. Replace any refs so that complete docs are retrieved.