Merge pull request #1689 from BerriAI/litellm_set_organization_on_config.yaml

[Feat] Set OpenAI organization for litellm.completion, Proxy Config

docs/my-website/docs/proxy/configs.md

@@ -188,7 +188,7 @@ print(response)
 </Tabs>
 
 
-## Save Model-specific params (API Base, API Keys, Temperature, Max Tokens, Seed, Headers etc.)
+## Save Model-specific params (API Base, API Keys, Temperature, Max Tokens, Seed, Organization, Headers etc.)
 You can use the config to save model-specific information like api_base, api_key, temperature, max_tokens, etc. 
 
 [**All input params**](https://docs.litellm.ai/docs/completion/input#input-params-1)
@@ -210,6 +210,12 @@ model_list:
       api_key: sk-123
       api_base: https://openai-gpt-4-test-v-2.openai.azure.com/
       temperature: 0.2
+  - model_name: openai-gpt-3.5
+    litellm_params:
+      model: openai/gpt-3.5-turbo
+      api_key: sk-123
+      organization: org-ikDc4ex8NB
+      temperature: 0.2
   - model_name: mistral-7b
     litellm_params:
       model: ollama/mistral

litellm/llms/openai.py

@@ -221,6 +221,7 @@ class OpenAIChatCompletion(BaseLLM):
         headers: Optional[dict] = None,
         custom_prompt_dict: dict = {},
         client=None,
+        organization: Optional[str] = None,
     ):
         super().completion()
         exception_mapping_worked = False
@@ -254,6 +255,7 @@ class OpenAIChatCompletion(BaseLLM):
                                 timeout=timeout,
                                 client=client,
                                 max_retries=max_retries,
+                                organization=organization,
                             )
                         else:
                             return self.acompletion(
@@ -266,6 +268,7 @@ class OpenAIChatCompletion(BaseLLM):
                                 timeout=timeout,
                                 client=client,
                                 max_retries=max_retries,
+                                organization=organization,
                             )
                     elif optional_params.get("stream", False):
                         return self.streaming(
@@ -278,6 +281,7 @@ class OpenAIChatCompletion(BaseLLM):
                             timeout=timeout,
                             client=client,
                             max_retries=max_retries,
+                            organization=organization,
                         )
                     else:
                         if not isinstance(max_retries, int):
@@ -291,6 +295,7 @@ class OpenAIChatCompletion(BaseLLM):
                                 http_client=litellm.client_session,
                                 timeout=timeout,
                                 max_retries=max_retries,
+                                organization=organization,
                             )
                         else:
                             openai_client = client
@@ -358,6 +363,7 @@ class OpenAIChatCompletion(BaseLLM):
         timeout: float,
         api_key: Optional[str] = None,
         api_base: Optional[str] = None,
+        organization: Optional[str] = None,
         client=None,
         max_retries=None,
         logging_obj=None,
@@ -372,6 +378,7 @@ class OpenAIChatCompletion(BaseLLM):
                     http_client=litellm.aclient_session,
                     timeout=timeout,
                     max_retries=max_retries,
+                    organization=organization,
                 )
             else:
                 openai_aclient = client
@@ -412,6 +419,7 @@ class OpenAIChatCompletion(BaseLLM):
         model: str,
         api_key: Optional[str] = None,
         api_base: Optional[str] = None,
+        organization: Optional[str] = None,
         client=None,
         max_retries=None,
         headers=None,
@@ -423,6 +431,7 @@ class OpenAIChatCompletion(BaseLLM):
                 http_client=litellm.client_session,
                 timeout=timeout,
                 max_retries=max_retries,
+                organization=organization,
             )
         else:
             openai_client = client
@@ -454,6 +463,7 @@ class OpenAIChatCompletion(BaseLLM):
         model: str,
         api_key: Optional[str] = None,
         api_base: Optional[str] = None,
+        organization: Optional[str] = None,
         client=None,
         max_retries=None,
         headers=None,
@@ -467,6 +477,7 @@ class OpenAIChatCompletion(BaseLLM):
                     http_client=litellm.aclient_session,
                     timeout=timeout,
                     max_retries=max_retries,
+                    organization=organization,
                 )
             else:
                 openai_aclient = client
@@ -748,8 +759,11 @@ class OpenAIChatCompletion(BaseLLM):
         messages: Optional[list] = None,
         input: Optional[list] = None,
         prompt: Optional[str] = None,
+        organization: Optional[str] = None,
     ):
-        client = AsyncOpenAI(api_key=api_key, timeout=timeout)
+        client = AsyncOpenAI(
+            api_key=api_key, timeout=timeout, organization=organization
+        )
         if model is None and mode != "image_generation":
             raise Exception("model is not set")
 

litellm/main.py

@@ -450,6 +450,7 @@ def completion(
     num_retries = kwargs.get("num_retries", None)  ## deprecated
     max_retries = kwargs.get("max_retries", None)
     context_window_fallback_dict = kwargs.get("context_window_fallback_dict", None)
+    organization = kwargs.get("organization", None)
     ### CUSTOM MODEL COST ###
     input_cost_per_token = kwargs.get("input_cost_per_token", None)
     output_cost_per_token = kwargs.get("output_cost_per_token", None)
@@ -787,7 +788,8 @@ def completion(
                 or "https://api.openai.com/v1"
             )
             openai.organization = (
-                litellm.organization
+                organization
+                or litellm.organization
                 or get_secret("OPENAI_ORGANIZATION")
                 or None  # default - https://github.com/openai/openai-python/blob/284c1799070c723c6a553337134148a7ab088dd8/openai/util.py#L105
             )
@@ -827,6 +829,7 @@ def completion(
                     timeout=timeout,
                     custom_prompt_dict=custom_prompt_dict,
                     client=client,  # pass AsyncOpenAI, OpenAI client
+                    organization=organization,
                 )
             except Exception as e:
                 ## LOGGING - log the original exception returned
@@ -3224,6 +3227,7 @@ async def ahealth_check(
             or custom_llm_provider == "text-completion-openai"
         ):
             api_key = model_params.get("api_key") or get_secret("OPENAI_API_KEY")
+            organization = model_params.get("organization")
 
             timeout = (
                 model_params.get("timeout")
@@ -3241,6 +3245,7 @@ async def ahealth_check(
                 mode=mode,
                 prompt=prompt,
                 input=input,
+                organization=organization,
             )
         else:
             if mode == "embedding":

litellm/router.py

@@ -1411,6 +1411,12 @@ class Router:
                 max_retries = litellm.get_secret(max_retries_env_name)
                 litellm_params["max_retries"] = max_retries
 
+            organization = litellm_params.get("organization", None)
+            if isinstance(organization, str) and organization.startswith("os.environ/"):
+                organization_env_name = organization.replace("os.environ/", "")
+                organization = litellm.get_secret(organization_env_name)
+                litellm_params["organization"] = organization
+
             if "azure" in model_name:
                 if api_base is None:
                     raise ValueError(
@@ -1610,6 +1616,7 @@ class Router:
                     base_url=api_base,
                     timeout=timeout,
                     max_retries=max_retries,
+                    organization=organization,
                     http_client=httpx.AsyncClient(
                         transport=AsyncCustomHTTPTransport(),
                         limits=httpx.Limits(
@@ -1630,6 +1637,7 @@ class Router:
                     base_url=api_base,
                     timeout=timeout,
                     max_retries=max_retries,
+                    organization=organization,
                     http_client=httpx.Client(
                         transport=CustomHTTPTransport(),
                         limits=httpx.Limits(
@@ -1651,6 +1659,7 @@ class Router:
                     base_url=api_base,
                     timeout=stream_timeout,
                     max_retries=max_retries,
+                    organization=organization,
                     http_client=httpx.AsyncClient(
                         transport=AsyncCustomHTTPTransport(),
                         limits=httpx.Limits(
@@ -1672,6 +1681,7 @@ class Router:
                     base_url=api_base,
                     timeout=stream_timeout,
                     max_retries=max_retries,
+                    organization=organization,
                     http_client=httpx.Client(
                         transport=CustomHTTPTransport(),
                         limits=httpx.Limits(

litellm/tests/test_completion.py

@@ -569,6 +569,22 @@ def test_completion_openai():
 # test_completion_openai()
 
 
+def test_completion_openai_organization():
+    try:
+        litellm.set_verbose = True
+        try:
+            response = completion(
+                model="gpt-3.5-turbo", messages=messages, organization="org-ikDc4ex8NB"
+            )
+            pytest.fail("Request should have failed - This organization does not exist")
+        except Exception as e:
+            assert "No such organization: org-ikDc4ex8NB" in str(e)
+
+    except Exception as e:
+        print(e)
+        pytest.fail(f"Error occurred: {e}")
+
+
 def test_completion_text_openai():
     try:
         # litellm.set_verbose = True

litellm/tests/test_router_init.py

@@ -387,3 +387,56 @@ def test_router_init_gpt_4_vision_enhancements():
         print("passed")
     except Exception as e:
         pytest.fail(f"Error occurred: {e}")
+
+
+def test_openai_with_organization():
+    try:
+        print("Testing OpenAI with organization")
+        model_list = [
+            {
+                "model_name": "openai-bad-org",
+                "litellm_params": {
+                    "model": "gpt-3.5-turbo",
+                    "organization": "org-ikDc4ex8NB",
+                },
+            },
+            {
+                "model_name": "openai-good-org",
+                "litellm_params": {"model": "gpt-3.5-turbo"},
+            },
+        ]
+
+        router = Router(model_list=model_list)
+
+        print(router.model_list)
+        print(router.model_list[0])
+
+        openai_client = router._get_client(
+            deployment=router.model_list[0],
+            kwargs={"input": ["hello"], "model": "openai-bad-org"},
+        )
+        print(vars(openai_client))
+
+        assert openai_client.organization == "org-ikDc4ex8NB"
+
+        # bad org raises error
+
+        try:
+            response = router.completion(
+                model="openai-bad-org",
+                messages=[{"role": "user", "content": "this is a test"}],
+            )
+            pytest.fail("Request should have failed - This organization does not exist")
+        except Exception as e:
+            print("Got exception: " + str(e))
+            assert "No such organization: org-ikDc4ex8NB" in str(e)
+
+        # good org works
+        response = router.completion(
+            model="openai-good-org",
+            messages=[{"role": "user", "content": "this is a test"}],
+            max_tokens=5,
+        )
+
+    except Exception as e:
+        pytest.fail(f"Error occurred: {e}")