🌿 Fern Regeneration -- July 10, 2024 (#41)

lib/assemblyai/lemur/client.rb

@@ -33,7 +33,6 @@ def initialize(request_client:)
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more
@@ -84,7 +83,6 @@ def task(prompt:, transcript_ids: nil, input_text: nil, context: nil, final_mode
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more
@@ -136,7 +134,6 @@ def summary(transcript_ids: nil, input_text: nil, context: nil, final_model: nil
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more
@@ -187,7 +184,6 @@ def question_answer(questions:, transcript_ids: nil, input_text: nil, context: n
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more
@@ -294,7 +290,6 @@ def initialize(request_client:)
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more
@@ -347,7 +342,6 @@ def task(prompt:, transcript_ids: nil, input_text: nil, context: nil, final_mode
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more
@@ -401,7 +395,6 @@ def summary(transcript_ids: nil, input_text: nil, context: nil, final_model: nil
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more
@@ -454,7 +447,6 @@ def question_answer(questions:, transcript_ids: nil, input_text: nil, context: n
     #  Use either transcript_ids or input_text as input into LeMUR.
     # @param context [String, Hash{String => Object}] Context to provide the model. This can be a string or a free-form JSON value.
     # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-    #  Defaults to "default".
     # @param max_output_size [Integer] Max output size in tokens, up to 4000
     # @param temperature [Float] The temperature to use for the model.
     #  Higher values result in answers that are more creative, lower values are more

lib/assemblyai/lemur/types/lemur_base_params.rb

@@ -19,7 +19,6 @@ class LemurBaseParams
       # @return [AssemblyAI::Lemur::LemurBaseParamsContext] Context to provide the model. This can be a string or a free-form JSON value.
       attr_reader :context
       # @return [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-      #  Defaults to "default".
       attr_reader :final_model
       # @return [Integer] Max output size in tokens, up to 4000
       attr_reader :max_output_size
@@ -44,7 +43,6 @@ class LemurBaseParams
       #  Use either transcript_ids or input_text as input into LeMUR.
       # @param context [AssemblyAI::Lemur::LemurBaseParamsContext] Context to provide the model. This can be a string or a free-form JSON value.
       # @param final_model [AssemblyAI::Lemur::LemurModel] The model that is used for the final prompt after compression is performed.
-      #  Defaults to "default".
       # @param max_output_size [Integer] Max output size in tokens, up to 4000
       # @param temperature [Float] The temperature to use for the model.
       #  Higher values result in answers that are more creative, lower values are more

lib/assemblyai/lemur/types/lemur_model.rb

@@ -4,10 +4,16 @@ module AssemblyAI
   class Lemur
     # The model that is used for the final prompt after compression is performed.
     class LemurModel
+      ANTHROPIC_CLAUDE3_5_SONNET = "anthropic/claude-3-5-sonnet"
+      ANTHROPIC_CLAUDE3_OPUS = "anthropic/claude-3-opus"
+      ANTHROPIC_CLAUDE3_HAIKU = "anthropic/claude-3-haiku"
+      ANTHROPIC_CLAUDE3_SONNET = "anthropic/claude-3-sonnet"
+      ANTHROPIC_CLAUDE2_1 = "anthropic/claude-2-1"
+      ANTHROPIC_CLAUDE2 = "anthropic/claude-2"
       DEFAULT = "default"
+      ANTHROPIC_CLAUDE_INSTANT1_2 = "anthropic/claude-instant-1-2"
       BASIC = "basic"
       ASSEMBLYAI_MISTRAL7B = "assemblyai/mistral-7b"
-      ANTHROPIC_CLAUDE2_1 = "anthropic/claude-2-1"
     end
   end
 end

lib/gemconfig.rb

@@ -2,7 +2,7 @@
 
 module AssemblyAI
   module Gemconfig
-    VERSION = "1.0.0-beta.14"
+    VERSION = "1.0.0-beta.15"
     AUTHORS = [""].freeze
     EMAIL = "[email protected]"
     SUMMARY = "AssemblyAI Ruby SDK"