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fix(gitmodules): remapping to new proxy

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Krrish Dholakia 2023-10-12 21:23:53 -07:00
parent 4f172101df
commit 606543eac8
5 changed files with 41 additions and 3 deletions
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4
.gitignore vendored
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@ -5,4 +5,6 @@ __pycache__/
bun.lockb
**/.DS_Store
.aider*
litellm_results.jsonl
litellm_results.jsonl
secrets.toml
.gitignore

2
.gitmodules vendored
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@ -3,4 +3,4 @@
url = https://github.com/BerriAI/litellm
[submodule "proxy-server"]
path = proxy-server
url = https://github.com/BerriAI/liteLLM-proxy.git
url = https://github.com/BerriAI/litellm/tree/main/litellm/proxy

3
litellm/proxy/.gitignore vendored
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@ -1 +1,2 @@
.env
.env
secrets.toml

4
litellm/proxy/proxy_server.py
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@ -118,6 +118,10 @@ def load_config():
litellm.anthropic_key = user_config["keys"][key]
elif key == "REPLICATE_API_KEY":
litellm.replicate_key = user_config["keys"][key]
elif key == "AWS_ACCESS_KEY_ID":
os.environ["AWS_ACCESS_KEY_ID"] = user_config["keys"][key]
elif key == "AWS_SECRET_ACCESS_KEY":
os.environ["AWS_SECRET_ACCESS_KEY"] = user_config["keys"][key]
## settings
litellm.add_function_to_prompt = user_config["general"].get("add_function_to_prompt", True) # by default add function to prompt if unsupported by provider

31
litellm/proxy/secrets_template.toml Normal file
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@ -0,0 +1,31 @@
[keys]
# HUGGINGFACE_API_KEY="" # Uncomment to save your Hugging Face API key
# OPENAI_API_KEY="" # Uncomment to save your OpenAI API Key
# TOGETHERAI_API_KEY="" # Uncomment to save your TogetherAI API key
# NLP_CLOUD_API_KEY="" # Uncomment to save your NLP Cloud API key
# ANTHROPIC_API_KEY="" # Uncomment to save your Anthropic API key
# REPLICATE_API_KEY="" # Uncomment to save your Replicate API key
# AWS_ACCESS_KEY_ID = "" # Uncomment to save your Bedrock/Sagemaker access keys
# AWS_SECRET_ACCESS_KEY = "" # Uncomment to save your Bedrock/Sagemaker access keys
[general]
# add_function_to_prompt = True # e.g: Ollama doesn't support functions, so add it to the prompt instead
# drop_params = True # drop any params not supported by the provider (e.g. Ollama)
[model."ollama/llama2"] # run via `litellm --model ollama/llama2`
# max_tokens = "" # set max tokens for the model
# temperature = "" # set temperature for the model
# api_base = "" # set a custom api base for the model
[model."ollama/llama2".prompt_template] # [OPTIONAL] LiteLLM can automatically formats the prompt - docs: https://docs.litellm.ai/docs/completion/prompt_formatting
# MODEL_SYSTEM_MESSAGE_START_TOKEN = "[INST] <<SYS>>\n" # This does not need to be a token, can be any string
# MODEL_SYSTEM_MESSAGE_END_TOKEN = "\n<</SYS>>\n [/INST]\n" # This does not need to be a token, can be any string
# MODEL_USER_MESSAGE_START_TOKEN = "[INST] " # This does not need to be a token, can be any string
# MODEL_USER_MESSAGE_END_TOKEN = " [/INST]\n" # Applies only to user messages. Can be any string.
# MODEL_ASSISTANT_MESSAGE_START_TOKEN = "" # Applies only to assistant messages. Can be any string.
# MODEL_ASSISTANT_MESSAGE_END_TOKEN = "\n" # Applies only to system messages. Can be any string.
# MODEL_PRE_PROMPT = "You are a good bot" # Applied at the start of the prompt
# MODEL_POST_PROMPT = "Now answer as best as you can" # Applied at the end of the prompt