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Updating inlined code
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hellovai committed Jun 13, 2024
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2 changes: 1 addition & 1 deletion integ-tests/python/baml_client/inlinedbaml.py
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"fiddle-examples/extract-names.baml": "function ExtractNames(input: string) -> string[] {\n client GPT4\n prompt #\"\n Extract the names from this INPUT:\n \n INPUT:\n ---\n {{ input }}\n ---\n\n {{ ctx.output_format }}\n\n Response:\n \"#\n}\n",
"fiddle-examples/images/image.baml": "function DescribeImage(img: image) -> string {\n client GPT4Turbo\n prompt #\"\n {{ _.role(\"user\") }}\n\n\n Describe the image below in 5 words:\n {{ img }}\n \"#\n\n}\n\nclass FakeImage {\n url string\n}\n\nclass ClassWithImage {\n myImage image\n param2 string\n fake_image FakeImage\n}\n\n// chat role user present\nfunction DescribeImage2(classWithImage: ClassWithImage, img2: image) -> string {\n client GPT4Turbo\n prompt #\"\n {{ _.role(\"user\") }}\n You should return 2 answers that answer the following commands.\n\n 1. Describe this in 5 words:\n {{ classWithImage.myImage }}\n\n 2. Also tell me what's happening here in one sentence:\n {{ img2 }}\n \"#\n}\n\n// no chat role\nfunction DescribeImage3(classWithImage: ClassWithImage, img2: image) -> string {\n client GPT4Turbo\n prompt #\"\n Describe this in 5 words:\n {{ classWithImage.myImage }}\n\n Tell me also what's happening here in one sentence and relate it to the word {{ classWithImage.param2 }}:\n {{ img2 }}\n \"#\n}\n\n\n// system prompt and chat prompt\nfunction DescribeImage4(classWithImage: ClassWithImage, img2: image) -> string {\n client GPT4Turbo\n prompt #\"\n {{ _.role(\"system\")}}\n\n Describe this in 5 words:\n {{ classWithImage.myImage }}\n\n Tell me also what's happening here in one sentence and relate it to the word {{ classWithImage.param2 }}:\n {{ img2 }}\n \"#\n}",
"fiddle-examples/symbol-tuning.baml": "enum Category3 {\n Refund @alias(\"k1\")\n @description(\"Customer wants to refund a product\")\n\n CancelOrder @alias(\"k2\")\n @description(\"Customer wants to cancel an order\")\n\n TechnicalSupport @alias(\"k3\")\n @description(\"Customer needs help with a technical issue unrelated to account creation or login\")\n\n AccountIssue @alias(\"k4\")\n @description(\"Specifically relates to account-login or account-creation\")\n\n Question @alias(\"k5\")\n @description(\"Customer has a question\")\n}\n\nfunction ClassifyMessage3(input: string) -> Category {\n client GPT4\n\n prompt #\"\n Classify the following INPUT into ONE\n of the following categories:\n\n INPUT: {{ input }}\n\n {{ ctx.output_format }}\n\n Response:\n \"#\n}",
"main.baml": "generator lang_python {\n output_type python/pydantic\n output_dir \"../python\"\n}\n\ngenerator lang_typescript {\n output_type typescript\n output_dir \"../typescript\"\n}\n\n// generator lang_ruby {\n// output_type ruby/sorbet\n// output_dir \"../ruby\"\n// }\n",
"main.baml": "generator lang_python {\n output_type python/pydantic\n output_dir \"../python\"\n}\n\ngenerator lang_typescript {\n output_type typescript\n output_dir \"../typescript\"\n}\n\ngenerator lang_ruby {\n output_type ruby/sorbet\n output_dir \"../ruby\"\n}\n",
"test-files/aliases/classes.baml": "class TestClassAlias {\n key string @alias(\"key-dash\") @description(#\"\n This is a description for key\n af asdf\n \"#)\n key2 string @alias(\"key21\")\n key3 string @alias(\"key with space\")\n key4 string //unaliased\n key5 string @alias(\"key.with.punctuation/123\")\n}\n\nfunction FnTestClassAlias(input: string) -> TestClassAlias {\n client GPT35\n prompt #\"\n {{ctx.output_format}}\n \"#\n}\n\ntest FnTestClassAlias {\n functions [FnTestClassAlias]\n args {\n input \"example input\"\n }\n}\n",
"test-files/aliases/enums.baml": "enum TestEnum {\n A @alias(\"k1\") @description(#\"\n User is angry\n \"#)\n B @alias(\"k22\") @description(#\"\n User is happy\n \"#)\n // tests whether k1 doesnt incorrectly get matched with k11\n C @alias(\"k11\") @description(#\"\n User is sad\n \"#)\n D @alias(\"k44\") @description(\n User is confused\n )\n E @description(\n User is excited\n )\n F @alias(\"k5\") // only alias\n \n G @alias(\"k6\") @description(#\"\n User is bored\n With a long description\n \"#)\n \n @@alias(\"Category\")\n}\n\nfunction FnTestAliasedEnumOutput(input: string) -> TestEnum {\n client GPT35\n prompt #\"\n Classify the user input into the following category\n \n {{ ctx.output_format }}\n\n {{ _.role('user') }}\n {{input}}\n\n {{ _.role('assistant') }}\n Category ID:\n \"#\n}\n\ntest FnTestAliasedEnumOutput {\n functions [FnTestAliasedEnumOutput]\n args {\n input \"mehhhhh\"\n }\n}",
"test-files/comments/comments.baml": "// add some functions, classes, enums etc with comments all over.",
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4 changes: 2 additions & 2 deletions integ-tests/ruby/baml_client/inlined.rb
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Expand Up @@ -16,7 +16,7 @@ module Baml
module Inlined
FILE_MAP = {

"clients.baml" => "retry_policy Bar {\n max_retries 3\n strategy {\n type exponential_backoff\n }\n}\n\nretry_policy Foo {\n max_retries 3\n strategy {\n type constant_delay\n delay_ms 100\n }\n}\n\nclient<llm> GPT4 {\n provider baml-openai-chat\n options {\n model gpt-4\n api_key env.OPENAI_API_KEY\n }\n} \n\n\nclient<llm> GPT4o {\n provider baml-openai-chat\n options {\n model gpt-4o\n api_key env.OPENAI_API_KEY\n }\n} \n\n\nclient<llm> GPT4Turbo {\n retry_policy Bar\n provider baml-openai-chat\n options {\n model gpt-4-turbo\n api_key env.OPENAI_API_KEY\n }\n} \n\nclient<llm> GPT35 {\n provider baml-openai-chat\n options {\n model \"gpt-3.5-turbo\"\n api_key env.OPENAI_API_KEY\n }\n}\n\nclient<llm> Ollama {\n provider ollama\n options {\n model llama2\n api_key \"\"\n }\n}\n\nclient<llm> GPT35Azure {\n provider azure-openai\n options {\n resource_name \"west-us-azure-baml\"\n deployment_id \"gpt-35-turbo-default\"\n // base_url \"https://west-us-azure-baml.openai.azure.com/openai/deployments/gpt-35-turbo-default\"\n api_version \"2024-02-01\"\n api_key env.AZURE_OPENAI_API_KEY\n }\n}\n\nclient<llm> Gemini {\n provider baml-google-chat\n options{\n model \"gemini-1.5-pro-001\"\n api_key env.GOOGLE_API_KEY\n project_id env.GOOGLE_PROJECT_ID\n }\n}\n\n\nclient<llm> Claude {\n provider anthropic\n options {\n model claude-3-haiku-20240307\n api_key env.ANTHROPIC_API_KEY\n max_tokens 1000\n }\n}\n\nclient<llm> Resilient_SimpleSyntax {\n retry_policy Foo\n provider baml-fallback\n options {\n strategy [\n GPT4Turbo\n GPT35\n Lottery_SimpleSyntax\n ]\n }\n} \n \nclient<llm> Lottery_SimpleSyntax {\n provider baml-round-robin\n options {\n start 0\n strategy [\n GPT35\n Claude\n ]\n }\n}\n",
"clients.baml" => "retry_policy Bar {\n max_retries 3\n strategy {\n type exponential_backoff\n }\n}\n\nretry_policy Foo {\n max_retries 3\n strategy {\n type constant_delay\n delay_ms 100\n }\n}\n\nclient<llm> GPT4 {\n provider baml-openai-chat\n options {\n model gpt-4\n api_key env.OPENAI_API_KEY\n }\n} \n\n\nclient<llm> GPT4o {\n provider baml-openai-chat\n options {\n model gpt-4o\n api_key env.OPENAI_API_KEY\n }\n} \n\n\nclient<llm> GPT4Turbo {\n retry_policy Bar\n provider baml-openai-chat\n options {\n model gpt-4-turbo\n api_key env.OPENAI_API_KEY\n }\n} \n\nclient<llm> GPT35 {\n provider baml-openai-chat\n options {\n model \"gpt-3.5-turbo\"\n api_key env.OPENAI_API_KEY\n }\n}\n\nclient<llm> Ollama {\n provider ollama\n options {\n model llama2\n api_key \"\"\n }\n}\n\nclient<llm> GPT35Azure {\n provider azure-openai\n options {\n resource_name \"west-us-azure-baml\"\n deployment_id \"gpt-35-turbo-default\"\n // base_url \"https://west-us-azure-baml.openai.azure.com/openai/deployments/gpt-35-turbo-default\"\n api_version \"2024-02-01\"\n api_key env.AZURE_OPENAI_API_KEY\n }\n}\n\nclient<llm> Gemini {\n provider google-ai\n options{\n model \"gemini-1.5-pro-001\"\n api_key env.GOOGLE_API_KEY\n }\n}\n\n\nclient<llm> Claude {\n provider anthropic\n options {\n model claude-3-haiku-20240307\n api_key env.ANTHROPIC_API_KEY\n max_tokens 1000\n }\n}\n\nclient<llm> Resilient_SimpleSyntax {\n retry_policy Foo\n provider baml-fallback\n options {\n strategy [\n GPT4Turbo\n GPT35\n Lottery_SimpleSyntax\n ]\n }\n} \n \nclient<llm> Lottery_SimpleSyntax {\n provider baml-round-robin\n options {\n start 0\n strategy [\n GPT35\n Claude\n ]\n }\n}\n",
"fiddle-examples/chain-of-thought.baml" => "class Email {\n subject string\n body string\n from_address string\n}\n\nenum OrderStatus {\n ORDERED\n SHIPPED\n DELIVERED\n CANCELLED\n}\n\nclass OrderInfo {\n order_status OrderStatus\n tracking_number string?\n estimated_arrival_date string?\n}\n\nfunction GetOrderInfo(email: Email) -> OrderInfo {\n client GPT4\n prompt #\"\n Given the email below:\n\n ```\n from: {{email.from_address}}\n Email Subject: {{email.subject}}\n Email Body: {{email.body}}\n ```\n\n Extract this info from the email in JSON format:\n {{ ctx.output_format }}\n\n Before you output the JSON, please explain your\n reasoning step-by-step. Here is an example on how to do this:\n 'If we think step by step we can see that ...\n therefore the output JSON is:\n {\n ... the json schema ...\n }'\n \"#\n}",
"fiddle-examples/chat-roles.baml" => "// This will be available as an enum in your Python and Typescript code.\nenum Category2 {\n Refund\n CancelOrder\n TechnicalSupport\n AccountIssue\n Question\n}\n\nfunction ClassifyMessage2(input: string) -> Category {\n client GPT4\n\n prompt #\"\n {{ _.role(\"system\") }}\n // You can use _.role(\"system\") to indicate that this text should be a system message\n\n Classify the following INPUT into ONE\n of the following categories:\n\n {{ ctx.output_format }}\n\n {{ _.role(\"user\") }}\n // And _.role(\"user\") to indicate that this text should be a user message\n\n INPUT: {{ input }}\n\n Response:\n \"#\n}",
"fiddle-examples/classify-message.baml" => "// This will be available as an enum in your Python and Typescript code.\nenum Category {\n Refund\n CancelOrder\n TechnicalSupport\n AccountIssue\n Question\n}\n\nfunction ClassifyMessage(input: string) -> Category {\n client GPT4\n\n prompt #\"\n Classify the following INPUT into ONE\n of the following categories:\n\n INPUT: {{ input }}\n\n {{ ctx.output_format }}\n\n Response:\n \"#\n}",
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"test-files/functions/prompts/no-chat-messages.baml" => "\n\nfunction PromptTestClaude(input: string) -> string {\n client Claude\n prompt #\"\n Tell me a haiku about {{ input }}\n \"#\n}\n\nfunction PromptTestOpenAI(input: string) -> string {\n client GPT35\n prompt #\"\n Tell me a haiku about {{ input }}\n \"#\n}",
"test-files/functions/prompts/with-chat-messages.baml" => "\nfunction PromptTestOpenAIChat(input: string) -> string {\n client GPT35\n prompt #\"\n {{ _.role(\"system\") }}\n You are an assistant that always responds in a very excited way with emojis and also outputs this word 4 times after giving a response: {{ input }}\n \n {{ _.role(\"user\") }}\n Tell me a haiku about {{ input }}\n \"#\n}\n\nfunction PromptTestOpenAIChatNoSystem(input: string) -> string {\n client GPT35\n prompt #\"\n You are an assistant that always responds in a very excited way with emojis and also outputs this word 4 times after giving a response: {{ input }}\n \n {{ _.role(\"user\") }}\n Tell me a haiku about {{ input }}\n \"#\n}\n\nfunction PromptTestClaudeChat(input: string) -> string {\n client Claude\n prompt #\"\n {{ _.role(\"system\") }}\n You are an assistant that always responds in a very excited way with emojis and also outputs this word 4 times after giving a response: {{ input }}\n \n {{ _.role(\"user\") }}\n Tell me a haiku about {{ input }}\n \"#\n}\n\nfunction PromptTestClaudeChatNoSystem(input: string) -> string {\n client Claude\n prompt #\"\n You are an assistant that always responds in a very excited way with emojis and also outputs this word 4 times after giving a response: {{ input }}\n \n {{ _.role(\"user\") }}\n Tell me a haiku about {{ input }}\n \"#\n}\n\ntest PromptTestOpenAIChat {\n functions [PromptTestClaude, PromptTestOpenAI, PromptTestOpenAIChat, PromptTestOpenAIChatNoSystem, PromptTestClaudeChat, PromptTestClaudeChatNoSystem]\n args {\n input \"cats\"\n }\n}\n\ntest TestClaude {\n functions [PromptTestClaudeChatNoSystem]\n args {\n input \"lion\"\n }\n}",
"test-files/functions/v2/basic.baml" => "\n\nfunction ExtractResume2(resume: string) -> Resume {\n client GPT4\n prompt #\"\n {{ _.role('system') }}\n\n Extract the following information from the resume:\n\n Resume:\n <<<<\n {{ resume }}\n <<<<\n\n Output JSON schema:\n {{ ctx.output_format }}\n\n JSON:\n \"#\n}\n\n\nclass WithReasoning {\n value string\n reasoning string @description(#\"\n Why the value is a good fit.\n \"#)\n}\n\n\nclass SearchParams {\n dateRange int? @description(#\"\n In ISO duration format, e.g. P1Y2M10D.\n \"#)\n location string[]\n jobTitle WithReasoning? @description(#\"\n An exact job title, not a general category.\n \"#)\n company WithReasoning? @description(#\"\n The exact name of the company, not a product or service.\n \"#)\n description WithReasoning[] @description(#\"\n Any specific projects or features the user is looking for.\n \"#)\n tags (Tag | string)[]\n}\n\nenum Tag {\n Security\n AI\n Blockchain\n}\n\nfunction GetQuery(query: string) -> SearchParams {\n client GPT4\n prompt #\"\n Extract the following information from the query:\n\n Query:\n <<<<\n {{ query }}\n <<<<\n\n OUTPUT_JSON_SCHEMA:\n {{ ctx.output_format }}\n\n Before OUTPUT_JSON_SCHEMA, list 5 intentions the user may have.\n --- EXAMPLES ---\n 1. <intent>\n 2. <intent>\n 3. <intent>\n 4. <intent>\n 5. <intent>\n\n {\n ... // OUTPUT_JSON_SCHEMA\n }\n \"#\n}\n\nclass RaysData {\n dataType DataType\n value Resume | Event\n}\n\nenum DataType {\n Resume\n Event\n}\n\nclass Event {\n title string\n date string\n location string\n description string\n}\n\nfunction GetDataType(text: string) -> RaysData {\n client GPT4\n prompt #\"\n Extract the relevant info.\n\n Text:\n <<<<\n {{ text }}\n <<<<\n\n Output JSON schema:\n {{ ctx.output_format }}\n\n JSON:\n \"#\n}",
"test-files/providers/providers.baml" => "function TestAnthropic(input: string) -> string {\n client Claude\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestOpenAI(input: string) -> string {\n client GPT35\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestAzure(input: string) -> string {\n client GPT35Azure\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestOllama(input: string) -> string {\n client Ollama\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestGemini(input: string) -> string {\n client Gemini\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\n\ntest TestProvider {\n functions [TestAnthropic, TestOpenAI, TestAzure, TestOllama, TestGemini]\n args {\n input \"the moon\"\n }\n}\n\n\n",
"test-files/providers/providers.baml" => "function TestAnthropic(input: string) -> string {\n client Claude\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestOpenAI(input: string) -> string {\n client GPT35\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestAzure(input: string) -> string {\n client GPT35Azure\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestOllama(input: string) -> string {\n client Ollama\n prompt #\"\n Write a nice haiku about {{ input }}\n \"#\n}\n\nfunction TestGemini(input: string) -> string {\n client Gemini\n prompt #\"\n Write a nice short story about {{ input }}\n \"#\n}\n\n\ntest TestProvider {\n functions [TestAnthropic, TestOpenAI, TestAzure, TestOllama, TestGemini]\n args {\n input \"Donkey kong and peanut butter\"\n }\n}\n\n\n",
"test-files/strategies/fallback.baml" => "\nclient<llm> FaultyClient {\n provider openai\n options {\n model unknown-model\n api_key env.OPENAI_API_KEY\n }\n}\n\n\nclient<llm> FallbackClient {\n provider fallback\n options {\n // first 2 clients are expected to fail.\n strategy [\n FaultyClient,\n RetryClientConstant,\n GPT35\n ]\n }\n}\n\nfunction TestFallbackClient() -> string {\n client FallbackClient\n // TODO make it return the client name instead\n prompt #\"\n Say a haiku about mexico.\n \"#\n}",
"test-files/strategies/retry.baml" => "\nretry_policy Exponential {\n max_retries 3\n strategy {\n type exponential_backoff\n }\n}\n\nretry_policy Constant {\n max_retries 3\n strategy {\n type constant_delay\n delay_ms 100\n }\n}\n\nclient<llm> RetryClientConstant {\n provider openai\n retry_policy Constant\n options {\n model \"gpt-3.5-turbo\"\n api_key \"blah\"\n }\n}\n\nclient<llm> RetryClientExponential {\n provider openai\n retry_policy Exponential\n options {\n model \"gpt-3.5-turbo\"\n api_key \"blahh\"\n }\n}\n\nfunction TestRetryConstant() -> string {\n client RetryClientConstant\n prompt #\"\n Say a haiku\n \"#\n}\n\nfunction TestRetryExponential() -> string {\n client RetryClientExponential\n prompt #\"\n Say a haiku\n \"#\n}\n",
"test-files/strategies/roundrobin.baml" => "",
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