From 3bd952ad9fc0c6ef538b80a783c14e311a718e60 Mon Sep 17 00:00:00 2001 From: Li Yin Date: Mon, 25 Nov 2024 22:42:20 -0800 Subject: [PATCH] add model providers display and code --- README.md | 8 + adalflow/CHANGELOG.md | 5 + adalflow/adalflow/__init__.py | 2 +- .../model_client/anthropic_client.py | 8 +- .../components/model_client/bedrock_client.py | 35 ++- .../components/model_client/google_client.py | 37 +-- adalflow/adalflow/core/types.py | 2 +- adalflow/pyproject.toml | 18 +- .../source/_static/images/multi-providers.png | Bin 0 -> 2729625 bytes poetry.lock | 264 +++++++++++++++++- pyproject.toml | 1 + tutorials/component.py | 22 +- tutorials/generator_all_providers.py | 53 ++++ 13 files changed, 415 insertions(+), 40 deletions(-) create mode 100644 docs/source/_static/images/multi-providers.png create mode 100644 tutorials/generator_all_providers.py diff --git a/README.md b/README.md index 77393268..61e411fb 100644 --- a/README.md +++ b/README.md @@ -142,6 +142,14 @@ You have full control over the prompt template, the model you use, and the outpu AdalFlow Task Pipeline

+Many providers and models accessible via the same interface: + +

+ AdalFlow Model Providers +

+ +[All available model providers](https://adalflow.sylph.ai/apis/components/components.model_client.html) + P&PMnY}tBJSfouGQ)?RjOmxRjT*n*8y1_~)jMcj^m@>ZLvmXfWSzRuFarJdv)v zw{?U6ld93+XD{1QXipi&Eh`rv5n@cUfg^aH#iGFEC1bzW7?bdYu4$M2!*oM4 zauwn}3y)|0Egv0xXR1L5!~tw!uJZ1wZM@CrjO;7vLRQ{eVyeq)g3Ggn4T{zpzm@?r zQQG>*F)Z%!aoA^8u98pwybGnvuFFUR_(axv?b-F_Z$^|D7QgfQS~?_1*I zYn2MtSBbz?+$6bh(sqMRQSt*41qKPnpYW~ryq1sAOpA&yGfzHaT+x#J>~XQ|drI1~ z*a!PD;}EYpi-O@+{SSCf2jN&^?KPtF38!k|npeVp_PC(V?@{i~eA;`pY(+`WvgXe4B`g+l z_x7}>K`NOhrBZrWRRQNaN&am&oalnrh7V|3aj+XxMBzx>g3&ljrim55tarV|>9t(q zRjk&6zbf~;v!4PHv9~6la*$2ATle_2Xdt&RaFOs^k$|QywS*TdnwP~oz6K5%9}lRK z&Ldzpw`fbRHIfhZO{gM+z4Sp9w369tpr)Q(m73MtH+i>8Bp=+f=4r1YO3RR5d{N* z3g9Cu$MSR@?vh=luP^c_h{o++07;V?#OjAZT%Y5G^mr)^8f6P5Y#&nJUj0w|DenrK$&F zX15M0Twf3o^Zc}V(Uh~4CapojLy-K6)C3!`7Sxch{S;&O)qfKk3@tMzX+se=&_||y z=vt^_P%+jCv zWZaEvr$HX$)6bk*+F#^omVI9_acpWwweH-SBl?i=HFYrDZHbfns?3j91Mj0>!7<)< zKo`^`j4P+uGqv-=y3O@%x-~7INSE2X^#yAz@gLwxwb`6A>Gu*Z3pOT>zcVFgL##Ms 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"sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"}, + {file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"}, +] + [[package]] name = "urllib3" version = "2.2.2" @@ -6212,4 +6462,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = ">=3.11, <4.0" -content-hash = "6f206712012373417ade22f41508b5111eb14b3520a14ac76a125d51718e3a54" +content-hash = "df5b3eaad85fc2f943506d095b2e3f7094982d55d461f40a7be13d9bb742fc6f" diff --git a/pyproject.toml b/pyproject.toml index abdd799c..c064d819 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,6 +50,7 @@ ragas = "^0.1.16" colorama = "^0.4.6" black = "^24.10.0" ruff = "^0.8.0" +google-generativeai = "^0.8.3" [build-system] diff --git a/tutorials/component.py b/tutorials/component.py index b4b8e080..3f454390 100644 --- a/tutorials/component.py +++ b/tutorials/component.py @@ -1,8 +1,5 @@ -import re from adalflow.core import Component, Generator from adalflow.components.model_client import OpenAIClient -from adalflow.components.model_client import GroqAPIClient -from adalflow.utils import setup_env # make sure you have a .env file with OPENAI_API_KEY and GROQ_API_KEY from getpass import getpass import os @@ -10,14 +7,16 @@ # Prompt user to enter their API keys securely openai_api_key = getpass("Please enter your OpenAI API key: ") # Set environment variables -os.environ['OPENAI_API_KEY'] = openai_api_key +os.environ["OPENAI_API_KEY"] = openai_api_key print("API keys have been set.") template_doc = r""" You are a doctor User: {{input_str}}""" from adalflow.utils import get_logger + get_logger() + class DocQA(Component): def __init__(self): super(DocQA, self).__init__() @@ -29,7 +28,8 @@ def __init__(self): def call(self, query: str) -> str: return self.doc(prompt_kwargs={"input_str": query}).data - + + doc = DocQA() # states states = doc.to_dict() @@ -53,6 +53,7 @@ def call(self, query: str) -> str: print(subcomponent) from adalflow.optim.parameter import Parameter + doc.register_parameter("demo", param=Parameter(data="demo")) # list all parameters @@ -62,6 +63,7 @@ def call(self, query: str) -> str: print(doc.to_dict()) from adalflow.utils.file_io import save_json + save_json(doc.to_dict(), "doc.json") print(doc.state_dict()) @@ -69,9 +71,11 @@ def call(self, query: str) -> str: from adalflow.core.component import FunComponent + def add_one(x): return x + 1 + fun_component = FunComponent(add_one) print(fun_component(1)) print(type(fun_component)) @@ -88,10 +92,13 @@ def add_one(x): # 2 # + # use it as a decorator @fun_to_component def add_one(x): return x + 1 + + print(add_one(1)) print(type(add_one)) # output: @@ -100,12 +107,13 @@ def add_one(x): from adalflow.core import Sequential + @fun_to_component -def enhance_query(query:str) -> str: +def enhance_query(query: str) -> str: return query + "Please be concise and only list the top treatments." + seq = Sequential(enhance_query, doc) query = "What is the best treatment for headache?" print(seq(query)) print(seq) - diff --git a/tutorials/generator_all_providers.py b/tutorials/generator_all_providers.py new file mode 100644 index 00000000..21d61d08 --- /dev/null +++ b/tutorials/generator_all_providers.py @@ -0,0 +1,53 @@ +# This doc shows how to use all different providers in the Generator class. + +import adalflow as adal + + +def use_all_providers(): + openai_llm = adal.Generator( + model_client=adal.OpenAIClient(), + model_kwargs={"model": "gpt-3.5-turbo"}, + ) + groq_llm = adal.Generator( + model_client=adal.GroqAPIClient(), + model_kwargs={"model": "llama3-8b-8192"}, + ) + anthropic_llm = adal.Generator( + model_client=adal.AnthropicAPIClient(), + model_kwargs={"model": "claude-3-5-sonnet-20241022"}, + ) + google_gen_ai_llm = adal.Generator( + model_client=adal.GoogleGenAIClient(), + model_kwargs={"model": "gemini-1.0-pro"}, + ) + ollama_llm = adal.Generator( + model_client=adal.OllamaClient(), + model_kwargs={"model": "llama3.2:1b"}, + ) + # need to run ollama pull llama3.2:1b first to use this model + + # aws_bedrock_llm = adal.Generator( + # model_client=adal.BedrockAPIClient(), + # model_kwargs={"modelId": "amazon.mistral.instruct-7b"}, + # ) + + prompt_kwargs = {"input_str": "What is the meaning of life in one sentence?"} + + openai_response = openai_llm(prompt_kwargs) + groq_response = groq_llm(prompt_kwargs) + anthropic_response = anthropic_llm(prompt_kwargs) + google_gen_ai_response = google_gen_ai_llm(prompt_kwargs) + ollama_response = ollama_llm(prompt_kwargs) + # aws_bedrock_llm_response = aws_bedrock_llm(prompt_kwargs) + + print(f"OpenAI: {openai_response}\n") + print(f"Groq: {groq_response}\n") + print(f"Anthropic: {anthropic_response}\n") + print(f"Google GenAI: {google_gen_ai_response}\n") + print(f"Ollama: {ollama_response}\n") + # print(f"AWS Bedrock: {aws_bedrock_llm_response}\n") + + +if __name__ == "__main__": + adal.setup_env() + use_all_providers()

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