FIX: call after tool calls failing on OpenAI / Gemini (#599)

A recent change meant that llm instance got cached internally, repeat calls
to inference would cache data in Endpoint object leading model to
failures.

Both Gemini and Open AI expect a clean endpoint object cause they
set data.

This amends internals to make sure llm.generate will always operate
on clean objects

lib/ai_bot/personas/discourse_helper.rb

@@ -12,9 +12,9 @@ module DiscourseAi
           <<~PROMPT
             You are Discourse Helper Bot
 
-            - Discourse Helper Bot understand *markdown* and responds in Discourse **markdown**.
-            - Discourse Helper Bot has access to the search function on meta.discourse.org and can help you find answers to your questions.
-            - Discourse Helper Bot ALWAYS backs up answers with actual search results from meta.discourse.org, even if the information is in your training set
+            - Discourse Helper Bot understands *markdown* and responds in Discourse **markdown**.
+            - Discourse Helper Bot has access to the search function on meta.discourse.org and can help answer user questions.
+            - Discourse Helper Bot ALWAYS backs up answers with actual search results from meta.discourse.org, even if the information is in the training set
             - Discourse Helper Bot does not use the word Discourse in searches, search function is restricted to Discourse Meta and Discourse specific discussions
             - Discourse Helper Bot understands that search is keyword based (terms are joined using AND) and that it is important to simplify search terms to find things.
             - Discourse Helper Bot understands that users often badly phrase and misspell words, it will compensate for that by guessing what user means.

lib/completions/endpoints/open_ai.rb

@@ -139,7 +139,6 @@ module DiscourseAi
           return if !parsed
 
           response_h = @streaming_mode ? parsed.dig(:delta) : parsed.dig(:message)
-
           @has_function_call ||= response_h.dig(:tool_calls).present?
           @has_function_call ? response_h.dig(:tool_calls, 0) : response_h.dig(:content)
         end

lib/completions/llm.rb

@@ -100,23 +100,24 @@ module DiscourseAi
             if @canned_llm && @canned_llm != model_name
               raise "Invalid call LLM call, expected #{@canned_llm} but got #{model_name}"
             end
-            return new(dialect_klass, @canned_response, model_name)
+            return new(dialect_klass, nil, model_name, gateway: @canned_response)
           end
 
-          gateway =
+          gateway_klass =
             DiscourseAi::Completions::Endpoints::Base.endpoint_for(
               provider_name,
               model_name_without_prov,
-            ).new(model_name_without_prov, dialect_klass.tokenizer)
+            )
 
-          new(dialect_klass, gateway, model_name_without_prov)
+          new(dialect_klass, gateway_klass, model_name_without_prov)
         end
       end
 
-      def initialize(dialect_klass, gateway, model_name)
+      def initialize(dialect_klass, gateway_klass, model_name, gateway: nil)
         @dialect_klass = dialect_klass
-        @gateway = gateway
+        @gateway_klass = gateway_klass
         @model_name = model_name
+        @gateway = gateway
       end
 
       delegate :tokenizer, to: :dialect_klass
@@ -174,6 +175,7 @@ module DiscourseAi
 
         model_params.keys.each { |key| model_params.delete(key) if model_params[key].nil? }
 
+        gateway = @gateway || gateway_klass.new(model_name, dialect_klass.tokenizer)
         dialect = dialect_klass.new(prompt, model_name, opts: model_params)
         gateway.perform_completion!(dialect, user, model_params, &partial_read_blk)
       end
@@ -186,7 +188,7 @@ module DiscourseAi
 
       private
 
-      attr_reader :dialect_klass, :gateway
+      attr_reader :dialect_klass, :gateway_klass
     end
   end
 end

spec/lib/completions/endpoints/open_ai_spec.rb

@@ -170,6 +170,89 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
     UploadCreator.new(image100x100, "image.jpg").create_for(Discourse.system_user.id)
   end
 
+  describe "repeat calls" do
+    it "can properly reset context" do
+      llm = DiscourseAi::Completions::Llm.proxy("open_ai:gpt-4-turbo")
+
+      tools = [
+        {
+          name: "echo",
+          description: "echo something",
+          parameters: [
+            { name: "text", type: "string", description: "text to echo", required: true },
+          ],
+        },
+      ]
+
+      prompt =
+        DiscourseAi::Completions::Prompt.new(
+          "You are a bot",
+          messages: [type: :user, id: "user1", content: "echo hello"],
+          tools: tools,
+        )
+
+      response = {
+        id: "chatcmpl-9JxkAzzaeO4DSV3omWvok9TKhCjBH",
+        object: "chat.completion",
+        created: 1_714_544_914,
+        model: "gpt-4-turbo-2024-04-09",
+        choices: [
+          {
+            index: 0,
+            message: {
+              role: "assistant",
+              content: nil,
+              tool_calls: [
+                {
+                  id: "call_I8LKnoijVuhKOM85nnEQgWwd",
+                  type: "function",
+                  function: {
+                    name: "echo",
+                    arguments: "{\"text\":\"hello\"}",
+                  },
+                },
+              ],
+            },
+            logprobs: nil,
+            finish_reason: "tool_calls",
+          },
+        ],
+        usage: {
+          prompt_tokens: 55,
+          completion_tokens: 13,
+          total_tokens: 68,
+        },
+        system_fingerprint: "fp_ea6eb70039",
+      }.to_json
+
+      stub_request(:post, "https://api.openai.com/v1/chat/completions").to_return(body: response)
+
+      result = llm.generate(prompt, user: user)
+
+      expected = (<<~TXT).strip
+        <function_calls>
+        <invoke>
+        <tool_name>echo</tool_name>
+        <parameters>
+        <text>hello</text>
+        </parameters>
+        <tool_id>call_I8LKnoijVuhKOM85nnEQgWwd</tool_id>
+        </invoke>
+        </function_calls>
+      TXT
+
+      expect(result.strip).to eq(expected)
+
+      stub_request(:post, "https://api.openai.com/v1/chat/completions").to_return(
+        body: { choices: [message: { content: "OK" }] }.to_json,
+      )
+
+      result = llm.generate(prompt, user: user)
+
+      expect(result).to eq("OK")
+    end
+  end
+
   describe "image support" do
     it "can handle images" do
       llm = DiscourseAi::Completions::Llm.proxy("open_ai:gpt-4-turbo")

spec/lib/completions/llm_spec.rb

@@ -4,8 +4,9 @@ RSpec.describe DiscourseAi::Completions::Llm do
   subject(:llm) do
     described_class.new(
       DiscourseAi::Completions::Dialects::OrcaStyle,
-      canned_response,
+      nil,
       "hugging_face:Upstage-Llama-2-*-instruct-v2",
+      gateway: canned_response,
     )
   end