mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-24 18:24:20 +00:00
Added Openrouter support back
This commit is contained in:
parent
c891fac444
commit
f3f7b755f4
14 changed files with 285 additions and 71 deletions
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@ -10,6 +10,7 @@ azure_key = None
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anthropic_key = None
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replicate_key = None
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cohere_key = None
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openrouter_key = None
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####### THREAD-SPECIFIC DATA ###################
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class MyLocal(threading.local):
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def __init__(self):
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@ -63,7 +64,19 @@ replicate_models = [
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"replicate/"
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] # placeholder, to make sure we accept any replicate model in our model_list
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model_list = open_ai_chat_completion_models + open_ai_text_completion_models + cohere_models + anthropic_models + replicate_models
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openrouter_models = [
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'google/palm-2-codechat-bison',
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'google/palm-2-chat-bison',
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'openai/gpt-3.5-turbo',
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'openai/gpt-3.5-turbo-16k',
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'openai/gpt-4-32k',
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'anthropic/claude-2',
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'anthropic/claude-instant-v1',
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'meta-llama/llama-2-13b-chat',
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'meta-llama/llama-2-70b-chat'
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]
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model_list = open_ai_chat_completion_models + open_ai_text_completion_models + cohere_models + anthropic_models + replicate_models + openrouter_models
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####### EMBEDDING MODELS ###################
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open_ai_embedding_models = [
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@ -238,6 +238,41 @@ def completion(
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"total_tokens": prompt_tokens + completion_tokens
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}
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response = model_response
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elif model in litellm.openrouter_models:
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openai.api_type = "openai"
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# not sure if this will work after someone first uses another API
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openai.api_base = litellm.api_base if litellm.api_base is not None else "https://openrouter.ai/api/v1"
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openai.api_version = None
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if litellm.organization:
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openai.organization = litellm.organization
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if api_key:
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openai.api_key = api_key
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elif litellm.openrouter_key:
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openai.api_key = litellm.openrouter_key
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else:
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openai.api_key = get_secret("OPENROUTER_API_KEY")
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## LOGGING
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logging(model=model, input=messages, additional_args=optional_params, azure=azure, logger_fn=logger_fn)
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## COMPLETION CALL
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if litellm.headers:
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response = openai.ChatCompletion.create(
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model=model,
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messages = messages,
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headers = litellm.headers,
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**optional_params
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)
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else:
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response = openai.ChatCompletion.create(
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model=model,
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messages = messages,
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headers =
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{
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"HTTP-Referer": os.environ.get("OR_SITE_URL"), # To identify your app
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"X-Title": os.environ.get("OR_APP_NAME")
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},
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**optional_params
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)
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elif model in litellm.cohere_models:
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if api_key:
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cohere_key = api_key
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@ -32,6 +32,14 @@ def test_completion_openai_with_optional_params():
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openrouter():
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try:
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response = completion(model="google/palm-2-chat-bison", messages=messages, temperature=0.5, top_p=0.1, user="ishaan_dev@berri.ai")
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# Add any assertions here to check the response
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print(response)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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def test_completion_openai_with_more_optional_params():
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try:
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response = completion(model="gpt-3.5-turbo", messages=messages, temperature=0.5, top_p=0.1, n=2, max_tokens=150, presence_penalty=0.5, frequency_penalty=-0.5, logit_bias={123: 5}, user="ishaan_dev@berri.ai")
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@ -100,6 +108,7 @@ def test_completion_cohere():
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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# Replicate API endpoints are unstable -> throw random CUDA errors -> this means our tests can fail even if our tests weren't incorrect.
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# [TODO] improve our try-except block to handle for these
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# def test_completion_replicate_llama():
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@ -114,4 +123,4 @@ def test_completion_cohere():
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# if e == "FunctionTimedOut":
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# pass
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# else:
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# pytest.fail(f"Error occurred: {e}")
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# pytest.fail(f"Error occurred: {e}")
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1
litellm_uuid.txt
Normal file
1
litellm_uuid.txt
Normal file
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@ -0,0 +1 @@
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427ada31-1a23-42af-ac37-83cfbd5de14a
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294
poetry.lock
generated
294
poetry.lock
generated
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@ -126,14 +126,14 @@ frozenlist = ">=1.1.0"
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[[package]]
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name = "anthropic"
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version = "0.3.7"
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version = "0.3.8"
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description = "Client library for the anthropic API"
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category = "main"
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optional = false
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python-versions = ">=3.7,<4.0"
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files = [
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{file = "anthropic-0.3.7-py3-none-any.whl", hash = "sha256:ca57635d7f13d609aa8a5b93a834e067760d96b9657bdf81e0c7444ddf41fc64"},
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{file = "anthropic-0.3.7.tar.gz", hash = "sha256:0453f80ba8224364c8b0dae0b5088becd67277de57708d7b887ebb6c2ceb3c49"},
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{file = "anthropic-0.3.8-py3-none-any.whl", hash = "sha256:97ffe1bacc4214dc89b19f496cf2769746971e86f7c835a05aa21b76f260d279"},
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{file = "anthropic-0.3.8.tar.gz", hash = "sha256:6651099807456c3b95b3879f5ad7d00f7e7e4f7649a2394d18032ab8be54ef16"},
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]
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[package.dependencies]
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@ -308,20 +308,20 @@ files = [
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[[package]]
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name = "cohere"
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version = "4.18.0"
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version = "4.19.2"
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description = ""
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category = "main"
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optional = false
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python-versions = ">=3.7,<4.0"
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files = [
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{file = "cohere-4.18.0-py3-none-any.whl", hash = "sha256:26b5be3f93c0046be7fd89b2e724190e10f9fceac8bcf8f22581368a1f3af2e4"},
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{file = "cohere-4.18.0.tar.gz", hash = "sha256:ed3d5703384412312fd827e669364b2f0eb3678a1206987cb3e1d98b88409c31"},
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{file = "cohere-4.19.2-py3-none-any.whl", hash = "sha256:0b6a4fe04380a481a8e975ebcc9bb6433febe4d3eb583b6d6e04342a5e998345"},
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{file = "cohere-4.19.2.tar.gz", hash = "sha256:a0b0fa698b3d3983fb328bb90d68fcf08faaa2268f3772ebc6bfea6ba55acf27"},
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]
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[package.dependencies]
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aiohttp = ">=3.0,<4.0"
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backoff = ">=2.0,<3.0"
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fastavro = "1.7.4"
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fastavro = {version = "1.8.2", markers = "python_version >= \"3.8\""}
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importlib_metadata = ">=6.0,<7.0"
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requests = ">=2.25.0,<3.0.0"
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urllib3 = ">=1.26,<3"
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@ -379,43 +379,37 @@ test = ["pytest (>=6)"]
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[[package]]
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name = "fastavro"
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version = "1.7.4"
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version = "1.8.2"
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description = "Fast read/write of AVRO files"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "replicate"
|
||||
version = "0.10.0"
|
||||
|
@ -1054,6 +1149,67 @@ files = [
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|||
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tenacity"
|
||||
version = "8.2.2"
|
||||
description = "Retry code until it succeeds"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
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files = [
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||||
]
|
||||
|
||||
[package.extras]
|
||||
doc = ["reno", "sphinx", "tornado (>=4.5)"]
|
||||
|
||||
[[package]]
|
||||
name = "tiktoken"
|
||||
version = "0.4.0"
|
||||
description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
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||||
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|
||||
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||||
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||||
{file = "tiktoken-0.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c15d9955cc18d0d7ffcc9c03dc51167aedae98542238b54a2e659bd25fe77ed"},
|
||||
{file = "tiktoken-0.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:64e1091c7103100d5e2c6ea706f0ec9cd6dc313e6fe7775ef777f40d8c20811e"},
|
||||
{file = "tiktoken-0.4.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e87751b54eb7bca580126353a9cf17a8a8eaadd44edaac0e01123e1513a33281"},
|
||||
{file = "tiktoken-0.4.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e063b988b8ba8b66d6cc2026d937557437e79258095f52eaecfafb18a0a10c03"},
|
||||
{file = "tiktoken-0.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:9c6dd439e878172dc163fced3bc7b19b9ab549c271b257599f55afc3a6a5edef"},
|
||||
{file = "tiktoken-0.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8d1d97f83697ff44466c6bef5d35b6bcdb51e0125829a9c0ed1e6e39fb9a08fb"},
|
||||
{file = "tiktoken-0.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1b6bce7c68aa765f666474c7c11a7aebda3816b58ecafb209afa59c799b0dd2d"},
|
||||
{file = "tiktoken-0.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a73286c35899ca51d8d764bc0b4d60838627ce193acb60cc88aea60bddec4fd"},
|
||||
{file = "tiktoken-0.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0394967d2236a60fd0aacef26646b53636423cc9c70c32f7c5124ebe86f3093"},
|
||||
{file = "tiktoken-0.4.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:dae2af6f03ecba5f679449fa66ed96585b2fa6accb7fd57d9649e9e398a94f44"},
|
||||
{file = "tiktoken-0.4.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:55e251b1da3c293432179cf7c452cfa35562da286786be5a8b1ee3405c2b0dd2"},
|
||||
{file = "tiktoken-0.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:c835d0ee1f84a5aa04921717754eadbc0f0a56cf613f78dfc1cf9ad35f6c3fea"},
|
||||
{file = "tiktoken-0.4.0.tar.gz", hash = "sha256:59b20a819969735b48161ced9b92f05dc4519c17be4015cfb73b65270a243620"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
regex = ">=2022.1.18"
|
||||
requests = ">=2.26.0"
|
||||
|
||||
[package.extras]
|
||||
blobfile = ["blobfile (>=2)"]
|
||||
|
||||
[[package]]
|
||||
name = "tokenizers"
|
||||
version = "0.13.3"
|
||||
|
@ -1302,5 +1458,5 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
|
|||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.9"
|
||||
content-hash = "383a930c8bb0c68d4be9a37f28902080eb83ae80ddf7af6ebe88f9a5abf707af"
|
||||
python-versions = "^3.8"
|
||||
content-hash = "59b35d97e5b8fd2fb7e10a769ea08062bb54636e3c8a0278c5e30ca1a692aab8"
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue