Remove bad endpoint

Author: parterburn

README.md

@@ -1103,6 +1103,16 @@ client.vector_store_file_batches.cancel(
 
 The Conversations API enables you to create and manage persistent conversations with your models. This is useful for maintaining conversation state across multiple interactions.
 
+**Supported Endpoints:**
+- `POST /v1/conversations` - Create a conversation
+- `GET /v1/conversations/{id}` - Retrieve a conversation  
+- `PATCH /v1/conversations/{id}` - Modify a conversation
+- `DELETE /v1/conversations/{id}` - Delete a conversation
+- `POST /v1/conversations/{id}/items` - Create items in a conversation
+- `GET /v1/conversations/{id}/items` - List items in a conversation
+- `GET /v1/conversations/{id}/items/{item_id}` - Get a specific item
+- `DELETE /v1/conversations/{id}/items/{item_id}` - Delete an item
+
 #### Creating a Conversation
 
 To create a new conversation:
@@ -1116,23 +1126,6 @@ response = client.conversations.create(
 conversation_id = response["id"]
 ```
 
-#### Listing Conversations
-
-To list all conversations:
-
-```ruby
-response = client.conversations.list
-conversations = response["data"]
-
-# With parameters
-response = client.conversations.list(
-  parameters: { 
-    limit: 20,
-    order: "desc"
-  }
-)
-```
-
 #### Retrieving a Conversation
 
 To retrieve a specific conversation:

lib/openai/conversations.rb

@@ -4,10 +4,6 @@ def initialize(client:)
       @client = client
     end
 
-    def list(parameters: {})
-      @client.get(path: "/conversations", parameters: parameters)
-    end
-
     def retrieve(id:)
       @client.get(path: "/conversations/#{id}")
     end

spec/openai/client/conversations_spec.rb

@@ -24,29 +24,6 @@
       end
     end
 
-    describe "#list" do
-      let(:cassette) { "conversations list" }
-      let(:response) { OpenAI::Client.new.conversations.list }
-
-      it "succeeds" do
-        VCR.use_cassette(cassette) do
-          expect(response["object"]).to eq("list")
-        end
-      end
-
-      context "with parameters" do
-        let(:response) do
-          OpenAI::Client.new.conversations.list(parameters: { limit: 10 })
-        end
-
-        it "succeeds with parameters" do
-          VCR.use_cassette(cassette) do
-            expect(response["object"]).to eq("list")
-          end
-        end
-      end
-    end
-
     describe "#retrieve" do
       let(:cassette) { "conversations retrieve" }
       let(:response) { OpenAI::Client.new.conversations.retrieve(id: conversation_id) }