From 95899bf60ef1beb75536a9dafff4399d9444317c Mon Sep 17 00:00:00 2001
From: Krrish Dholakia <krrishdholakia@gmail.com>
Date: Tue, 3 Oct 2023 21:56:00 -0700
Subject: [PATCH] add additional param mapping

---
 docs/my-website/docs/completion/input.md  |  36 ++++++++++++----------
 litellm/__init__.py                       |   1 +
 litellm/__pycache__/utils.cpython-311.pyc | Bin 139801 -> 139976 bytes
 litellm/tests/test_completion.py          |   4 ++-
 litellm/utils.py                          |  30 +++++++++++++-----
 pyproject.toml                            |   2 +-
 6 files changed, 47 insertions(+), 26 deletions(-)

diff --git a/docs/my-website/docs/completion/input.md b/docs/my-website/docs/completion/input.md
index 4a3264c248a..a2cdad5d1b4 100644
--- a/docs/my-website/docs/completion/input.md
+++ b/docs/my-website/docs/completion/input.md
@@ -62,20 +62,22 @@ E.g. If Anthropic supports top_k, then `completion(model="claude-2", .., top_k=3
 
 This list is constantly being updated.
 
-| Provider | functions | function_call | temperature | top_p | n | stream | stop | max_tokens | presence_penalty | frequency_penalty | logit_bias | user |
-|---|---|---|---|---|---|---|---|---|---|---|---|---|
-|Anthropic| | | ✅ | ✅ | |  ✅ | ✅ | ✅ |  |   |
-|OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
-|Replicate| | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅|  |   |
-|Cohere| | | ✅ | ✅ | |  ✅ | |  ✅|  |   | ✅ |
-|Huggingface| | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  | | |
-|Openrouter| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
-|AI21|  | | | | | | | |  | | |
-|VertexAI| | | ✅ | ✅ | | ✅ | | ✅ |  |  |   |
-|Bedrock| | | ✅ | ✅ | | ✅ | ✅ | ✅ |  | | |
-|Sagemaker| | | ✅ | | | ✅ | | ✅ |  | | |
-|TogetherAI| | | ✅ | ✅ | | ✅ | ✅ | ✅ |  | ✅ | |
-|AlephAlpha| | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | |
-|Palm| | | ✅ | ✅ | | ✅ | |  |  |  | |
-|NLP Cloud| | | ✅ | ✅ | ✅ | ✅ | ✅ | ✅  | ✅ | ✅ | | |
-|Petals| | | ✅ | ✅ | | | | ✅ |  |   |
\ No newline at end of file
+| Provider | temperature | top_p | n | stream | stop | max_tokens | presence_penalty | frequency_penalty | functions | function_call |
+|---|---|---|---|---|---|---|---|---|---|---|
+|Anthropic| ✅ | ✅ |  | ✅ | ✅ | ✅ |  |   |  |   |
+|OpenAI| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
+|Replicate | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |   |  |   |
+|Cohere| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |   |   |
+|Huggingface| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |   |   
+|Openrouter| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
+|AI21| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |   |
+|VertexAI| ✅ | ✅ |  | ✅ |  | ✅ |  |  |  |   |
+|Bedrock| ✅ | ✅ |  | ✅ | ✅ | ✅ |  |   |  |   |
+|Sagemaker| ✅ |  |  | ✅ |  | ✅ |  |  |  |   |
+|TogetherAI| ✅ | ✅ |  | ✅ | ✅ | ✅ |  |   |  |   |
+|AlephAlpha| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |   |  |   |
+|Palm| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |  |   |
+|NLP Cloud| ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |  |  |  |   |
+|Petals| ✅ | ✅ |  | ✅ | ✅ |  |   |  |  |   |
+
+By default, LiteLLM raises an exception if the param being passed in isn't supported. However, if you want to just drop the param, instead of raising an exception, just set `litellm.drop_params = True`. 
\ No newline at end of file
diff --git a/litellm/__init__.py b/litellm/__init__.py
index 9afa4aeeb41..efb48a7d95b 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -15,6 +15,7 @@ token: Optional[
 ] = None  # for hosted dashboard. Learn more - https://docs.litellm.ai/docs/debugging/hosted_debugging
 telemetry = True
 max_tokens = 256  # OpenAI Defaults
+drop_params = False
 retry = True
 api_key: Optional[str] = None
 openai_key: Optional[str] = None
diff --git a/litellm/__pycache__/utils.cpython-311.pyc b/litellm/__pycache__/utils.cpython-311.pyc
index d4014abdd12483b3280c8cdcd73659011d542d09..51ba1a493238e436a81c5ac2edab1c5ba7cf2152 100644
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diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py
index 685ac7b21f0..e00ea0311dc 100644
--- a/litellm/tests/test_completion.py
+++ b/litellm/tests/test_completion.py
@@ -323,7 +323,9 @@ def test_completion_cohere(): # commenting for now as the cohere endpoint is bei
             model="command-nightly",
             messages=messages,
             max_tokens=100,
+            n=1,
             logit_bias={40: 10},
+            stop=["a"],
             logger_fn=logger_fn
         )
         # Add any assertions here to check the response
@@ -337,7 +339,7 @@ def test_completion_cohere(): # commenting for now as the cohere endpoint is bei
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
 
-# test_completion_cohere()
+test_completion_cohere()
 
 
 def test_completion_openai():
diff --git a/litellm/utils.py b/litellm/utils.py
index 3843d428c26..9c70575f8f8 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -987,7 +987,7 @@ def get_optional_params(  # use the openai defaults
                     pass
                 else: 
                     unsupported_params.append(k)
-        if unsupported_params:
+        if unsupported_params and not litellm.drop_params:
             raise ValueError("LiteLLM.Exception: Unsupported parameters passed: {}".format(', '.join(unsupported_params)))
 
     ## raise exception if provider doesn't support passed in param 
@@ -1009,7 +1009,7 @@ def get_optional_params(  # use the openai defaults
             optional_params["max_tokens_to_sample"] = max_tokens
     elif custom_llm_provider == "cohere":
         ## check if unsupported param passed in 
-        supported_params = ["stream", "temperature", "max_tokens", "logit_bias", "top_p"]
+        supported_params = ["stream", "temperature", "max_tokens", "logit_bias", "top_p", "frequency_penalty", "presence_penalty", "stop"]
         _check_valid_arg(supported_params=supported_params)
         # handle cohere params
         if stream:
@@ -1018,10 +1018,18 @@ def get_optional_params(  # use the openai defaults
             optional_params["temperature"] = temperature
         if max_tokens:
             optional_params["max_tokens"] = max_tokens
+        if n: 
+            optional_params["num_generations"] = n
         if logit_bias != {}:
             optional_params["logit_bias"] = logit_bias
         if top_p: 
             optional_params["p"] = top_p
+        if frequency_penalty: 
+            optional_params["frequency_penalty"] = frequency_penalty
+        if presence_penalty: 
+            optional_params["presence_penalty"] = presence_penalty
+        if stop:
+            optional_params["stop_sequences"] = stop
     elif custom_llm_provider == "replicate":
         ## check if unsupported param passed in 
         supported_params = ["stream", "temperature", "max_tokens", "top_p", "stop", "seed"]
@@ -1079,9 +1087,9 @@ def get_optional_params(  # use the openai defaults
         if max_tokens:
             optional_params["max_tokens"] = max_tokens
         if frequency_penalty:
-            optional_params["frequency_penalty"] = frequency_penalty # TODO: Check if should be repetition penalty
+            optional_params["repetition_penalty"] = frequency_penalty # https://docs.together.ai/reference/inference
         if stop:
-            optional_params["stop"] = stop #TG AI expects a list, example ["\n\n\n\n","&lt;|endoftext|&gt;"]
+            optional_params["stop"] = stop 
     elif custom_llm_provider == "ai21":
         ## check if unsupported param passed in 
         supported_params = ["stream", "n", "temperature", "max_tokens", "top_p", "stop", "frequency_penalty", "presence_penalty"]
@@ -1103,9 +1111,9 @@ def get_optional_params(  # use the openai defaults
             optional_params["frequencyPenalty"] = {"scale": frequency_penalty}
         if presence_penalty: 
             optional_params["presencePenalty"] = {"scale": presence_penalty}
-    elif custom_llm_provider == "palm":
+    elif custom_llm_provider == "palm": # https://developers.generativeai.google/tutorials/curl_quickstart
         ## check if unsupported param passed in 
-        supported_params = ["temperature", "top_p", "stream"]
+        supported_params = ["temperature", "top_p", "stream", "n", "stop", "max_tokens"]
         _check_valid_arg(supported_params=supported_params)
         
         if temperature:
@@ -1114,6 +1122,12 @@ def get_optional_params(  # use the openai defaults
             optional_params["top_p"] = top_p
         if stream:
             optional_params["stream"] = stream
+        if n: 
+            optional_params["candidate_count"] = n
+        if stop: 
+            optional_params["stopSequences"] = stop
+        if max_tokens: 
+            optional_params["maxOutputTokens"] = max_tokens
     elif (
         custom_llm_provider == "vertex_ai"
     ): 
@@ -1241,7 +1255,7 @@ def get_optional_params(  # use the openai defaults
         if stop:
             optional_params["stop_sequences"] = stop
     elif model in litellm.petals_models or custom_llm_provider == "petals":
-        supported_params = ["max_tokens", "temperature", "top_p"]
+        supported_params = ["max_tokens", "temperature", "top_p", "stream"]
         _check_valid_arg(supported_params=supported_params)
         # max_new_tokens=1,temperature=0.9, top_p=0.6
         if max_tokens:
@@ -1250,6 +1264,8 @@ def get_optional_params(  # use the openai defaults
             optional_params["temperature"] = temperature
         if top_p:
             optional_params["top_p"] = top_p
+        if stream:
+            optional_params["stream"] = stream
     else:  # assume passing in params for openai/azure openai
         supported_params = ["functions", "function_call", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "deployment_id"]
         _check_valid_arg(supported_params=supported_params)
diff --git a/pyproject.toml b/pyproject.toml
index 44deaba6ce1..25561468096 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "litellm"
-version = "0.1.818"
+version = "0.1.819"
 description = "Library to easily interface with LLM API providers"
 authors = ["BerriAI"]
 license = "MIT License"