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docs service accounts (#5900)
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docs/my-website/docs/proxy/service_accounts.md
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115
docs/my-website/docs/proxy/service_accounts.md
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import Image from '@theme/IdealImage';
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# [Beta] Service Accounts
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Use this if you want to create Virtual Keys that are not owned by a specific user but instead created for production projects
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## Usage
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### 1. Set settings for Service Accounts
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Set `service_account_settings` if you want to create settings that only apply to service account keys
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```yaml
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general_settings:
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service_account_settings:
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enforced_params: ["user"] # this means the "user" param is enforced for all requests made through any service account keys
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```
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### 2. Create Service Account Key on LiteLLM Proxy Admin UI
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<Image img={require('../../img/create_service_account.png')} />
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### 3. Test Service Account Key
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<Tabs>
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<TabItem value="Unsuccessful call" label="Unsuccessful call">
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```shell
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curl --location 'http://localhost:4000/chat/completions' \
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--header 'Authorization: Bearer <sk-your-service-account>' \
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--header 'Content-Type: application/json' \
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--data '{
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"model": "gpt-3.5-turbo",
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"messages": [
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{
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"role": "user",
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"content": "hello"
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}
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]
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}'
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```
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Expected Response
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```json
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{
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"error": {
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"message": "BadRequest please pass param=user in request body. This is a required param for service account",
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"type": "bad_request_error",
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"param": "user",
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"code": "400"
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}
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}
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```
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</TabItem>
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<TabItem value="Successful call" label="Successful call">
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```shell
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curl --location 'http://localhost:4000/chat/completions' \
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--header 'Authorization: Bearer <sk-your-service-account>' \
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--header 'Content-Type: application/json' \
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--data '{
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"model": "gpt-3.5-turbo",
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"messages": [
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{
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"role": "user",
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"content": "hello"
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}
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],
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"user": "test-user"
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}'
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```
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Expected Response
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```json
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{
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"id": "chatcmpl-ad9595c7e3784a6783b469218d92d95c",
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"choices": [
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{
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"finish_reason": "stop",
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"index": 0,
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"message": {
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"content": "\n\nHello there, how may I assist you today?",
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"role": "assistant",
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"tool_calls": null,
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"function_call": null
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}
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}
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],
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"created": 1677652288,
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"model": "gpt-3.5-turbo-0125",
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"object": "chat.completion",
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"system_fingerprint": "fp_44709d6fcb",
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"usage": {
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"completion_tokens": 12,
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"prompt_tokens": 9,
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"total_tokens": 21,
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"completion_tokens_details": null
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},
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"service_tier": null
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}
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```
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</TabItem>
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</Tabs>
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docs/my-website/img/create_service_account.png
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docs/my-website/img/create_service_account.png
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@ -50,7 +50,7 @@ const sidebars = {
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{
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type: "category",
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label: "🔑 Authentication",
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items: ["proxy/virtual_keys", "proxy/token_auth", "proxy/oauth2", "proxy/ip_address"],
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items: ["proxy/virtual_keys", "proxy/token_auth", "proxy/service_accounts", "proxy/ip_address"],
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},
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{
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type: "category",
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@ -2,26 +2,30 @@ model_list:
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- model_name: gpt-3.5-turbo
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litellm_params:
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model: openai/gpt-3.5-turbo
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api_key: os.environ/OPENAI_API_KEY
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api_key: fake-key
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api_base: https://exampleopenaiendpoint-production.up.railway.app/
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model_info:
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supported_environments: ["development", "production", "staging"]
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- model_name: gpt-4
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- model_name: rerank-english-v3.0
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litellm_params:
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model: openai/gpt-4
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api_key: os.environ/OPENAI_API_KEY
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model: cohere/rerank-english-v3.0
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api_key: os.environ/COHERE_API_KEY
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model_info:
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supported_environments: ["production", "staging"]
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- model_name: gpt-4o
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- model_name: llava-hf
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litellm_params:
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model: openai/gpt-4o
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api_key: os.environ/OPENAI_API_KEY
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model: openai/llava-hf/llava-v1.6-vicuna-7b-hf
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api_key: fake-key
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model_info:
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supported_environments: ["production"]
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supported_environments: ["production", "staging"]
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general_settings:
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service_account_settings:
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enforced_params: ["user"]
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litellm_settings:
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cache: true
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callbacks: ["otel"]
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# callbacks: ["otel"]
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general_settings:
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