mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-27 11:43:54 +00:00
Merge branch 'main' into litellm_spend_logging_high_traffic
This commit is contained in:
Krish Dholakia
GitHub
commit
f5eca2f4ad
36 changed files with 638 additions and 291 deletions
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@ -32,6 +32,9 @@ RUN pip install dist/*.whl
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# install dependencies as wheels
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||||
RUN pip wheel --no-cache-dir --wheel-dir=/wheels/ -r requirements.txt
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||||
|
||||
# install semantic-cache [Experimental]- we need this here and not in requirements.txt because redisvl pins to pydantic 1.0
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||||
RUN pip install redisvl==0.0.7 --no-deps
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# Runtime stage
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FROM $LITELLM_RUNTIME_IMAGE as runtime
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||||
|
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@ -47,6 +47,9 @@ COPY --from=builder /wheels/ /wheels/
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|||
# Install the built wheel using pip; again using a wildcard if it's the only file
|
||||
RUN pip install *.whl /wheels/* --no-index --find-links=/wheels/ && rm -f *.whl && rm -rf /wheels
|
||||
|
||||
# install semantic-cache [Experimental]- we need this here and not in requirements.txt because redisvl pins to pydantic 1.0
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||||
RUN pip install redisvl==0.0.7 --no-deps
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||||
|
||||
# Generate prisma client
|
||||
RUN prisma generate
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||||
RUN chmod +x entrypoint.sh
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||||
|
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|||
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@ -17,7 +17,7 @@ LiteLLM supports:
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|||
|
||||
Caching can be enabled by adding the `cache` key in the `config.yaml`
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||||
|
||||
### Step 1: Add `cache` to the config.yaml
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||||
#### Step 1: Add `cache` to the config.yaml
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```yaml
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model_list:
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- model_name: gpt-3.5-turbo
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@ -32,7 +32,7 @@ litellm_settings:
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cache: True # set cache responses to True, litellm defaults to using a redis cache
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```
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||||
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||||
### Step 2: Add Redis Credentials to .env
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||||
#### Step 2: Add Redis Credentials to .env
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||||
Set either `REDIS_URL` or the `REDIS_HOST` in your os environment, to enable caching.
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|
||||
```shell
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@ -50,7 +50,7 @@ REDIS_<redis-kwarg-name> = ""
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```
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[**See how it's read from the environment**](https://github.com/BerriAI/litellm/blob/4d7ff1b33b9991dcf38d821266290631d9bcd2dd/litellm/_redis.py#L40)
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### Step 3: Run proxy with config
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#### Step 3: Run proxy with config
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```shell
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$ litellm --config /path/to/config.yaml
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```
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@ -58,7 +58,7 @@ $ litellm --config /path/to/config.yaml
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<TabItem value="s3" label="s3 cache">
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### Step 1: Add `cache` to the config.yaml
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#### Step 1: Add `cache` to the config.yaml
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```yaml
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model_list:
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- model_name: gpt-3.5-turbo
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@ -80,7 +80,7 @@ litellm_settings:
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s3_endpoint_url: https://s3.amazonaws.com # [OPTIONAL] S3 endpoint URL, if you want to use Backblaze/cloudflare s3 buckets
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```
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||||
### Step 2: Run proxy with config
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#### Step 2: Run proxy with config
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```shell
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$ litellm --config /path/to/config.yaml
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```
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@ -91,7 +91,7 @@ $ litellm --config /path/to/config.yaml
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|||
|
||||
Caching can be enabled by adding the `cache` key in the `config.yaml`
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||||
|
||||
### Step 1: Add `cache` to the config.yaml
|
||||
#### Step 1: Add `cache` to the config.yaml
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```yaml
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model_list:
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- model_name: gpt-3.5-turbo
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@ -113,7 +113,7 @@ litellm_settings:
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redis_semantic_cache_embedding_model: azure-embedding-model # set this to a model_name set in model_list
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```
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### Step 2: Add Redis Credentials to .env
|
||||
#### Step 2: Add Redis Credentials to .env
|
||||
Set either `REDIS_URL` or the `REDIS_HOST` in your os environment, to enable caching.
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||||
|
||||
```shell
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@ -130,7 +130,7 @@ You can pass in any additional redis.Redis arg, by storing the variable + value
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REDIS_<redis-kwarg-name> = ""
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```
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|
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### Step 3: Run proxy with config
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#### Step 3: Run proxy with config
|
||||
```shell
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$ litellm --config /path/to/config.yaml
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```
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|
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@ -13,6 +13,7 @@ Requirements:
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You can set budgets at 3 levels:
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- For the proxy
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- For a user
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- For a 'user' passed to `/chat/completions`, `/embeddings` etc
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- For a key
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@ -117,6 +118,61 @@ curl --location 'http://0.0.0.0:8000/key/generate' \
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--data '{"models": ["azure-models"], "user_id": "krrish3@berri.ai"}'
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```
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</TabItem>
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<TabItem value="per-user-chat" label="For 'user' passed to /chat/completions">
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Use this to budget `user` passed to `/chat/completions`, **without needing to create a key for every user**
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**Step 1. Modify config.yaml**
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Define `litellm.max_user_budget`
|
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```yaml
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general_settings:
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master_key: sk-1234
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litellm_settings:
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max_budget: 10 # global budget for proxy
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max_user_budget: 0.0001 # budget for 'user' passed to /chat/completions
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```
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2. Make a /chat/completions call, pass 'user' - First call Works
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```shell
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curl --location 'http://0.0.0.0:4000/chat/completions' \
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--header 'Content-Type: application/json' \
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--header 'Authorization: Bearer sk-zi5onDRdHGD24v0Zdn7VBA' \
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--data ' {
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"model": "azure-gpt-3.5",
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"user": "ishaan3",
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"messages": [
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{
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"role": "user",
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"content": "what time is it"
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}
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]
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}'
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```
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3. Make a /chat/completions call, pass 'user' - Call Fails, since 'ishaan3' over budget
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```shell
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curl --location 'http://0.0.0.0:4000/chat/completions' \
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--header 'Content-Type: application/json' \
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--header 'Authorization: Bearer sk-zi5onDRdHGD24v0Zdn7VBA' \
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||||
--data ' {
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||||
"model": "azure-gpt-3.5",
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||||
"user": "ishaan3",
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||||
"messages": [
|
||||
{
|
||||
"role": "user",
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||||
"content": "what time is it"
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||||
}
|
||||
]
|
||||
}'
|
||||
```
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||||
|
||||
Error
|
||||
```shell
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||||
{"error":{"message":"Authentication Error, ExceededBudget: User ishaan3 has exceeded their budget. Current spend: 0.0008869999999999999; Max Budget: 0.0001","type":"auth_error","param":"None","code":401}}%
|
||||
```
|
||||
|
||||
</TabItem>
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||||
<TabItem value="per-key" label="For Key">
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||||
|
||||
|
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@ -148,6 +148,7 @@ s3_callback_params: Optional[Dict] = None
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|||
default_key_generate_params: Optional[Dict] = None
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||||
upperbound_key_generate_params: Optional[Dict] = None
|
||||
default_team_settings: Optional[List] = None
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||||
max_user_budget: Optional[float] = None
|
||||
#### RELIABILITY ####
|
||||
request_timeout: Optional[float] = 6000
|
||||
num_retries: Optional[int] = None # per model endpoint
|
||||
|
|
|
|||
|
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@ -230,7 +230,7 @@ def get_ollama_response(
|
|||
model_response["model"] = "ollama/" + model
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||||
prompt_tokens = response_json.get("prompt_eval_count", litellm.token_counter(messages=messages)) # type: ignore
|
||||
completion_tokens = response_json.get(
|
||||
"eval_count", litellm.token_counter(text=response_json["message"])
|
||||
"eval_count", litellm.token_counter(text=response_json["message"]["content"])
|
||||
)
|
||||
model_response["usage"] = litellm.Usage(
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prompt_tokens=prompt_tokens,
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(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[185],{87421:function(n,e,t){Promise.resolve().then(t.t.bind(t,99646,23)),Promise.resolve().then(t.t.bind(t,63385,23))},63385:function(){},99646:function(n){n.exports={style:{fontFamily:"'__Inter_c23dc8', '__Inter_Fallback_c23dc8'",fontStyle:"normal"},className:"__className_c23dc8"}}},function(n){n.O(0,[971,69,744],function(){return n(n.s=87421)}),_N_E=n.O()}]);
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(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[185],{11837:function(n,e,t){Promise.resolve().then(t.t.bind(t,99646,23)),Promise.resolve().then(t.t.bind(t,63385,23))},63385:function(){},99646:function(n){n.exports={style:{fontFamily:"'__Inter_c23dc8', '__Inter_Fallback_c23dc8'",fontStyle:"normal"},className:"__className_c23dc8"}}},function(n){n.O(0,[971,69,744],function(){return n(n.s=11837)}),_N_E=n.O()}]);
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(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[744],{32028:function(e,n,t){Promise.resolve().then(t.t.bind(t,47690,23)),Promise.resolve().then(t.t.bind(t,48955,23)),Promise.resolve().then(t.t.bind(t,5613,23)),Promise.resolve().then(t.t.bind(t,11902,23)),Promise.resolve().then(t.t.bind(t,31778,23)),Promise.resolve().then(t.t.bind(t,77831,23))}},function(e){var n=function(n){return e(e.s=n)};e.O(0,[971,69],function(){return n(35317),n(32028)}),_N_E=e.O()}]);
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(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[744],{70377:function(e,n,t){Promise.resolve().then(t.t.bind(t,47690,23)),Promise.resolve().then(t.t.bind(t,48955,23)),Promise.resolve().then(t.t.bind(t,5613,23)),Promise.resolve().then(t.t.bind(t,11902,23)),Promise.resolve().then(t.t.bind(t,31778,23)),Promise.resolve().then(t.t.bind(t,77831,23))}},function(e){var n=function(n){return e(e.s=n)};e.O(0,[971,69],function(){return n(35317),n(70377)}),_N_E=e.O()}]);
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@ -1 +0,0 @@
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(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[744],{32028:function(e,n,t){Promise.resolve().then(t.t.bind(t,47690,23)),Promise.resolve().then(t.t.bind(t,48955,23)),Promise.resolve().then(t.t.bind(t,5613,23)),Promise.resolve().then(t.t.bind(t,11902,23)),Promise.resolve().then(t.t.bind(t,31778,23)),Promise.resolve().then(t.t.bind(t,77831,23))}},function(e){var n=function(n){return e(e.s=n)};e.O(0,[971,69],function(){return n(35317),n(32028)}),_N_E=e.O()}]);
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@ -1,7 +1,7 @@
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2:"$Sreact.suspense"
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3:I[27680,["787","static/chunks/787-5bb33960644f5c7c.js","931","static/chunks/app/page-992f4cdd1053ee86.js"],""]
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3:I[27680,["787","static/chunks/787-5bb33960644f5c7c.js","931","static/chunks/app/page-7f03ccc8529ada97.js"],""]
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4:I[5613,[],""]
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5:I[31778,[],""]
|
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0:["lGjwnJSGwBqa476jHHI8W",[[["",{"children":["__PAGE__",{}]},"$undefined","$undefined",true],["",{"children":["__PAGE__",{},["$L1",["$","$2",null,{"fallback":["$","div",null,{"children":"Loading..."}],"children":["$","div",null,{"className":"flex min-h-screen flex-col ","children":["$","$L3",null,{}]}]}],null]]},[null,["$","html",null,{"lang":"en","children":["$","body",null,{"className":"__className_c23dc8","children":["$","$L4",null,{"parallelRouterKey":"children","segmentPath":["children"],"loading":"$undefined","loadingStyles":"$undefined","loadingScripts":"$undefined","hasLoading":false,"error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[["$","title",null,{"children":"404: This page could not be found."}],["$","div",null,{"style":{"fontFamily":"system-ui,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\"","height":"100vh","textAlign":"center","display":"flex","flexDirection":"column","alignItems":"center","justifyContent":"center"},"children":["$","div",null,{"children":[["$","style",null,{"dangerouslySetInnerHTML":{"__html":"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}"}}],["$","h1",null,{"className":"next-error-h1","style":{"display":"inline-block","margin":"0 20px 0 0","padding":"0 23px 0 0","fontSize":24,"fontWeight":500,"verticalAlign":"top","lineHeight":"49px"},"children":"404"}],["$","div",null,{"style":{"display":"inline-block"},"children":["$","h2",null,{"style":{"fontSize":14,"fontWeight":400,"lineHeight":"49px","margin":0},"children":"This page could not be found."}]}]]}]}]],"notFoundStyles":[],"styles":null}]}]}],null]],[[["$","link","0",{"rel":"stylesheet","href":"/ui/_next/static/css/a6a9860a7fe022a9.css","precedence":"next","crossOrigin":""}]],"$L6"]]]]
|
||||
6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"Create Next App"}],["$","meta","3",{"name":"description","content":"Generated by create next app"}],["$","link","4",{"rel":"icon","href":"/ui/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
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0:["p5gDwQBbgW8D3Uz3lgoZg",[[["",{"children":["__PAGE__",{}]},"$undefined","$undefined",true],["",{"children":["__PAGE__",{},["$L1",["$","$2",null,{"fallback":["$","div",null,{"children":"Loading..."}],"children":["$","div",null,{"className":"flex min-h-screen flex-col ","children":["$","$L3",null,{}]}]}],null]]},[null,["$","html",null,{"lang":"en","children":["$","body",null,{"className":"__className_c23dc8","children":["$","$L4",null,{"parallelRouterKey":"children","segmentPath":["children"],"loading":"$undefined","loadingStyles":"$undefined","loadingScripts":"$undefined","hasLoading":false,"error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[["$","title",null,{"children":"404: This page could not be found."}],["$","div",null,{"style":{"fontFamily":"system-ui,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\"","height":"100vh","textAlign":"center","display":"flex","flexDirection":"column","alignItems":"center","justifyContent":"center"},"children":["$","div",null,{"children":[["$","style",null,{"dangerouslySetInnerHTML":{"__html":"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}"}}],["$","h1",null,{"className":"next-error-h1","style":{"display":"inline-block","margin":"0 20px 0 0","padding":"0 23px 0 0","fontSize":24,"fontWeight":500,"verticalAlign":"top","lineHeight":"49px"},"children":"404"}],["$","div",null,{"style":{"display":"inline-block"},"children":["$","h2",null,{"style":{"fontSize":14,"fontWeight":400,"lineHeight":"49px","margin":0},"children":"This page could not be found."}]}]]}]}]],"notFoundStyles":[],"styles":null}]}]}],null]],[[["$","link","0",{"rel":"stylesheet","href":"/ui/_next/static/css/a6a9860a7fe022a9.css","precedence":"next","crossOrigin":""}]],"$L6"]]]]
|
||||
6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"🚅 LiteLLM"}],["$","meta","3",{"name":"description","content":"LiteLLM Proxy Admin UI"}],["$","link","4",{"rel":"icon","href":"/ui/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
||||
1:null
|
||||
|
|
|
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|
|
@ -68,6 +68,7 @@ litellm_settings:
|
|||
fallbacks: [{"openai-gpt-3.5": ["azure-gpt-3.5"]}]
|
||||
success_callback: ['langfuse']
|
||||
max_budget: 10 # global budget for proxy
|
||||
max_user_budget: 0.0001
|
||||
budget_duration: 30d # global budget duration, will reset after 30d
|
||||
default_key_generate_params:
|
||||
max_budget: 1.5000
|
||||
|
|
|
|||
|
|
@ -91,6 +91,7 @@ from litellm.proxy.utils import (
|
|||
reset_budget,
|
||||
hash_token,
|
||||
html_form,
|
||||
_read_request_body,
|
||||
)
|
||||
from litellm.proxy.secret_managers.google_kms import load_google_kms
|
||||
import pydantic
|
||||
|
|
@ -322,6 +323,7 @@ async def user_api_key_auth(
|
|||
f"Malformed API Key passed in. Ensure Key has `Bearer ` prefix. Passed in: {passed_in_key}"
|
||||
)
|
||||
|
||||
### CHECK IF ADMIN ###
|
||||
# note: never string compare api keys, this is vulenerable to a time attack. Use secrets.compare_digest instead
|
||||
is_master_key_valid = secrets.compare_digest(api_key, master_key)
|
||||
if is_master_key_valid:
|
||||
|
|
@ -370,8 +372,9 @@ async def user_api_key_auth(
|
|||
# Run checks for
|
||||
# 1. If token can call model
|
||||
# 2. If user_id for this token is in budget
|
||||
# 3. If token is expired
|
||||
# 4. If token spend is under Budget for the token
|
||||
# 3. If 'user' passed to /chat/completions, /embeddings endpoint is in budget
|
||||
# 4. If token is expired
|
||||
# 5. If token spend is under Budget for the token
|
||||
|
||||
# Check 1. If token can call model
|
||||
litellm.model_alias_map = valid_token.aliases
|
||||
|
|
@ -430,9 +433,18 @@ async def user_api_key_auth(
|
|||
)
|
||||
|
||||
# Check 2. If user_id for this token is in budget
|
||||
## Check 2.5 If global proxy is in budget
|
||||
## Check 2.1 If global proxy is in budget
|
||||
## Check 2.2 [OPTIONAL - checked only if litellm.max_user_budget is not None] If 'user' passed in /chat/completions is in budget
|
||||
if valid_token.user_id is not None:
|
||||
user_id_list = [valid_token.user_id, litellm_proxy_budget_name]
|
||||
if (
|
||||
litellm.max_user_budget is not None
|
||||
): # Check if 'user' passed in /chat/completions is in budget, only checked if litellm.max_user_budget is set
|
||||
request_data = await _read_request_body(request=request)
|
||||
user_passed_to_chat_completions = request_data.get("user", None)
|
||||
if user_passed_to_chat_completions is not None:
|
||||
user_id_list.append(user_passed_to_chat_completions)
|
||||
|
||||
user_id_information = None
|
||||
for id in user_id_list:
|
||||
value = user_api_key_cache.get_cache(key=id)
|
||||
|
|
@ -462,6 +474,7 @@ async def user_api_key_auth(
|
|||
key=valid_token.user_id, table_name="user"
|
||||
)
|
||||
|
||||
|
||||
verbose_proxy_logger.debug(
|
||||
f"user_id_information: {user_id_information}"
|
||||
)
|
||||
|
|
@ -473,12 +486,18 @@ async def user_api_key_auth(
|
|||
if _user is None:
|
||||
continue
|
||||
assert isinstance(_user, dict)
|
||||
# check if user is admin #
|
||||
if (
|
||||
_user.get("user_role", None) is not None
|
||||
and _user.get("user_role") == "proxy_admin"
|
||||
):
|
||||
return UserAPIKeyAuth(api_key=master_key)
|
||||
# Token exists, not expired now check if its in budget for the user
|
||||
user_max_budget = _user.get("max_budget", None)
|
||||
user_current_spend = _user.get("spend", None)
|
||||
|
||||
verbose_proxy_logger.debug(
|
||||
f"user_max_budget: {user_max_budget}; user_current_spend: {user_current_spend}"
|
||||
f"user_id: {_user.get('user_id', None)}; user_max_budget: {user_max_budget}; user_current_spend: {user_current_spend}"
|
||||
)
|
||||
|
||||
if (
|
||||
|
|
@ -616,10 +635,13 @@ async def user_api_key_auth(
|
|||
# check if user can access this route
|
||||
query_params = request.query_params
|
||||
user_id = query_params.get("user_id")
|
||||
verbose_proxy_logger.debug(
|
||||
f"user_id: {user_id} & valid_token.user_id: {valid_token.user_id}"
|
||||
)
|
||||
if user_id != valid_token.user_id:
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_403_FORBIDDEN,
|
||||
detail="user not allowed to access this key's info",
|
||||
detail="key not allowed to access this user's info",
|
||||
)
|
||||
elif route == "/user/update":
|
||||
raise HTTPException(
|
||||
|
|
@ -860,7 +882,6 @@ async def update_database(
|
|||
- Update that user's row
|
||||
- Update litellm-proxy-budget row (global proxy spend)
|
||||
"""
|
||||
try:
|
||||
user_ids = [user_id, litellm_proxy_budget_name]
|
||||
data_list = []
|
||||
for id in user_ids:
|
||||
|
|
@ -868,15 +889,22 @@ async def update_database(
|
|||
continue
|
||||
if prisma_client is not None:
|
||||
existing_spend_obj = await prisma_client.get_data(user_id=id)
|
||||
elif (
|
||||
custom_db_client is not None and id != litellm_proxy_budget_name
|
||||
):
|
||||
elif custom_db_client is not None and id != litellm_proxy_budget_name:
|
||||
existing_spend_obj = await custom_db_client.get_data(
|
||||
key=id, table_name="user"
|
||||
)
|
||||
verbose_proxy_logger.debug(
|
||||
f"Updating existing_spend_obj: {existing_spend_obj}"
|
||||
)
|
||||
if existing_spend_obj is None:
|
||||
# if user does not exist in LiteLLM_UserTable, create a new user
|
||||
existing_spend = 0
|
||||
max_user_budget = None
|
||||
if litellm.max_user_budget is not None:
|
||||
max_user_budget = litellm.max_user_budget
|
||||
existing_spend_obj = LiteLLM_UserTable(
|
||||
user_id=id, spend=0, max_budget=max_user_budget, user_email=None
|
||||
)
|
||||
if existing_spend_obj is None:
|
||||
existing_spend = 0
|
||||
existing_spend_obj = LiteLLM_UserTable(
|
||||
|
|
@ -1147,7 +1175,7 @@ class ProxyConfig:
|
|||
# load existing config
|
||||
config = await self.get_config()
|
||||
## LITELLM MODULE SETTINGS (e.g. litellm.drop_params=True,..)
|
||||
litellm_settings = config.get("litellm_settings", None)
|
||||
litellm_settings = config.get("litellm_settings", {})
|
||||
all_teams_config = litellm_settings.get("default_team_settings", None)
|
||||
team_config: dict = {}
|
||||
if all_teams_config is None:
|
||||
|
|
@ -1791,7 +1819,33 @@ async def async_data_generator(response, user_api_key_dict):
|
|||
done_message = "[DONE]"
|
||||
yield f"data: {done_message}\n\n"
|
||||
except Exception as e:
|
||||
yield f"data: {str(e)}\n\n"
|
||||
traceback.print_exc()
|
||||
await proxy_logging_obj.post_call_failure_hook(
|
||||
user_api_key_dict=user_api_key_dict, original_exception=e
|
||||
)
|
||||
verbose_proxy_logger.debug(
|
||||
f"\033[1;31mAn error occurred: {e}\n\n Debug this by setting `--debug`, e.g. `litellm --model gpt-3.5-turbo --debug`"
|
||||
)
|
||||
router_model_names = (
|
||||
[m["model_name"] for m in llm_model_list]
|
||||
if llm_model_list is not None
|
||||
else []
|
||||
)
|
||||
if user_debug:
|
||||
traceback.print_exc()
|
||||
|
||||
if isinstance(e, HTTPException):
|
||||
raise e
|
||||
else:
|
||||
error_traceback = traceback.format_exc()
|
||||
error_msg = f"{str(e)}\n\n{error_traceback}"
|
||||
|
||||
raise ProxyException(
|
||||
message=getattr(e, "message", error_msg),
|
||||
type=getattr(e, "type", "None"),
|
||||
param=getattr(e, "param", "None"),
|
||||
code=getattr(e, "status_code", 500),
|
||||
)
|
||||
|
||||
|
||||
def select_data_generator(response, user_api_key_dict):
|
||||
|
|
@ -1799,7 +1853,7 @@ def select_data_generator(response, user_api_key_dict):
|
|||
# since boto3 - sagemaker does not support async calls, we should use a sync data_generator
|
||||
if hasattr(
|
||||
response, "custom_llm_provider"
|
||||
) and response.custom_llm_provider in ["sagemaker", "together_ai"]:
|
||||
) and response.custom_llm_provider in ["sagemaker"]:
|
||||
return data_generator(
|
||||
response=response,
|
||||
)
|
||||
|
|
@ -1892,6 +1946,10 @@ async def startup_event():
|
|||
|
||||
if prisma_client is not None and master_key is not None:
|
||||
# add master key to db
|
||||
user_id = "default_user_id"
|
||||
if os.getenv("PROXY_ADMIN_ID", None) is not None:
|
||||
user_id = os.getenv("PROXY_ADMIN_ID")
|
||||
|
||||
asyncio.create_task(
|
||||
generate_key_helper_fn(
|
||||
duration=None,
|
||||
|
|
@ -1900,7 +1958,12 @@ async def startup_event():
|
|||
config={},
|
||||
spend=0,
|
||||
token=master_key,
|
||||
user_id="default_user_id",
|
||||
user_id=user_id,
|
||||
user_role="proxy_admin",
|
||||
query_type="update_data",
|
||||
update_key_values={
|
||||
"user_role": "proxy_admin",
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
|
|
@ -2284,7 +2347,6 @@ async def chat_completion(
|
|||
selected_data_generator = select_data_generator(
|
||||
response=response, user_api_key_dict=user_api_key_dict
|
||||
)
|
||||
|
||||
return StreamingResponse(
|
||||
selected_data_generator,
|
||||
media_type="text/event-stream",
|
||||
|
|
@ -3459,23 +3521,38 @@ async def auth_callback(request: Request):
|
|||
result = await microsoft_sso.verify_and_process(request)
|
||||
|
||||
# User is Authe'd in - generate key for the UI to access Proxy
|
||||
user_id = getattr(result, "email", None)
|
||||
user_email = getattr(result, "email", None)
|
||||
user_id = getattr(result, "id", None)
|
||||
if user_id is None:
|
||||
user_id = getattr(result, "first_name", "") + getattr(result, "last_name", "")
|
||||
|
||||
response = await generate_key_helper_fn(
|
||||
**{"duration": "1hr", "key_max_budget": 0, "models": [], "aliases": {}, "config": {}, "spend": 0, "user_id": user_id, "team_id": "litellm-dashboard"} # type: ignore
|
||||
**{"duration": "1hr", "key_max_budget": 0, "models": [], "aliases": {}, "config": {}, "spend": 0, "user_id": user_id, "team_id": "litellm-dashboard", "user_email": user_email} # type: ignore
|
||||
)
|
||||
|
||||
key = response["token"] # type: ignore
|
||||
user_id = response["user_id"] # type: ignore
|
||||
|
||||
litellm_dashboard_ui = "/ui/"
|
||||
|
||||
user_role = "app_owner"
|
||||
if (
|
||||
os.getenv("PROXY_ADMIN_ID", None) is not None
|
||||
and os.environ["PROXY_ADMIN_ID"] == user_id
|
||||
):
|
||||
# checks if user is admin
|
||||
user_role = "app_admin"
|
||||
|
||||
import jwt
|
||||
|
||||
jwt_token = jwt.encode(
|
||||
{"user_id": user_id, "key": key}, "secret", algorithm="HS256"
|
||||
{
|
||||
"user_id": user_id,
|
||||
"key": key,
|
||||
"user_email": user_email,
|
||||
"user_role": user_role,
|
||||
},
|
||||
"secret",
|
||||
algorithm="HS256",
|
||||
)
|
||||
litellm_dashboard_ui += "?userID=" + user_id + "&token=" + jwt_token
|
||||
|
||||
|
|
@ -3488,10 +3565,18 @@ async def auth_callback(request: Request):
|
|||
"/user/info", tags=["user management"], dependencies=[Depends(user_api_key_auth)]
|
||||
)
|
||||
async def user_info(
|
||||
user_id: str = fastapi.Query(..., description="User ID in the request parameters")
|
||||
user_id: Optional[str] = fastapi.Query(
|
||||
default=None, description="User ID in the request parameters"
|
||||
)
|
||||
):
|
||||
"""
|
||||
Use this to get user information. (user row + all user key info)
|
||||
|
||||
Example request
|
||||
```
|
||||
curl -X GET 'http://localhost:8000/user/info?user_id=krrish7%40berri.ai' \
|
||||
--header 'Authorization: Bearer sk-1234'
|
||||
```
|
||||
"""
|
||||
global prisma_client
|
||||
try:
|
||||
|
|
@ -3500,11 +3585,25 @@ async def user_info(
|
|||
f"Database not connected. Connect a database to your proxy - https://docs.litellm.ai/docs/simple_proxy#managing-auth---virtual-keys"
|
||||
)
|
||||
## GET USER ROW ##
|
||||
if user_id is not None:
|
||||
user_info = await prisma_client.get_data(user_id=user_id)
|
||||
else:
|
||||
user_info = None
|
||||
## GET ALL KEYS ##
|
||||
keys = await prisma_client.get_data(
|
||||
user_id=user_id, table_name="key", query_type="find_all"
|
||||
user_id=user_id,
|
||||
table_name="key",
|
||||
query_type="find_all",
|
||||
expires=datetime.now(),
|
||||
)
|
||||
|
||||
if user_info is None:
|
||||
## make sure we still return a total spend ##
|
||||
spend = 0
|
||||
for k in keys:
|
||||
spend += getattr(k, "spend", 0)
|
||||
user_info = {"spend": spend}
|
||||
|
||||
## REMOVE HASHED TOKEN INFO before returning ##
|
||||
for key in keys:
|
||||
try:
|
||||
|
|
@ -4109,7 +4208,7 @@ async def health_readiness():
|
|||
cache_type = {"type": cache_type, "index_info": index_info}
|
||||
|
||||
if prisma_client is not None: # if db passed in, check if it's connected
|
||||
if prisma_client.db.is_connected() == True:
|
||||
await prisma_client.health_check() # test the db connection
|
||||
response_object = {"db": "connected"}
|
||||
|
||||
return {
|
||||
|
|
|
|||
|
|
@ -149,6 +149,14 @@ class ProxyLogging:
|
|||
if request_data is not None:
|
||||
model = request_data.get("model", "")
|
||||
messages = request_data.get("messages", "")
|
||||
trace_id = request_data.get("metadata", {}).get(
|
||||
"trace_id", None
|
||||
) # get langfuse trace id
|
||||
if trace_id is not None:
|
||||
messages = str(messages)
|
||||
messages = messages[:100]
|
||||
messages = f"{messages}\nLangfuse Trace Id: {trace_id}"
|
||||
else:
|
||||
# try casting messages to str and get the first 100 characters, else mark as None
|
||||
try:
|
||||
messages = str(messages)
|
||||
|
|
@ -466,8 +474,6 @@ class PrismaClient:
|
|||
reset_at: Optional[datetime] = None,
|
||||
):
|
||||
try:
|
||||
print_verbose("PrismaClient: get_data")
|
||||
|
||||
response: Any = None
|
||||
if token is not None or (table_name is not None and table_name == "key"):
|
||||
# check if plain text or hash
|
||||
|
|
@ -553,6 +559,17 @@ class PrismaClient:
|
|||
# The asterisk before `user_id_list` unpacks the list into separate arguments
|
||||
response = await self.db.query_raw(sql_query)
|
||||
elif query_type == "find_all":
|
||||
if expires is not None:
|
||||
response = await self.db.litellm_usertable.find_many( # type: ignore
|
||||
order={"spend": "desc"},
|
||||
where={ # type:ignore
|
||||
"OR": [
|
||||
{"expires": None}, # type:ignore
|
||||
{"expires": {"gt": expires}}, # type:ignore
|
||||
],
|
||||
},
|
||||
)
|
||||
else:
|
||||
response = await self.db.litellm_usertable.find_many( # type: ignore
|
||||
order={"spend": "desc"},
|
||||
)
|
||||
|
|
@ -879,6 +896,21 @@ class PrismaClient:
|
|||
)
|
||||
raise e
|
||||
|
||||
async def health_check(self):
|
||||
"""
|
||||
Health check endpoint for the prisma client
|
||||
"""
|
||||
sql_query = """
|
||||
SELECT 1
|
||||
FROM "LiteLLM_VerificationToken"
|
||||
LIMIT 1
|
||||
"""
|
||||
|
||||
# Execute the raw query
|
||||
# The asterisk before `user_id_list` unpacks the list into separate arguments
|
||||
response = await self.db.query_raw(sql_query)
|
||||
return response
|
||||
|
||||
|
||||
class DBClient:
|
||||
"""
|
||||
|
|
@ -1207,6 +1239,28 @@ async def reset_budget(prisma_client: PrismaClient):
|
|||
)
|
||||
|
||||
|
||||
async def _read_request_body(request):
|
||||
"""
|
||||
Asynchronous function to read the request body and parse it as JSON or literal data.
|
||||
|
||||
Parameters:
|
||||
- request: The request object to read the body from
|
||||
|
||||
Returns:
|
||||
- dict: Parsed request data as a dictionary
|
||||
"""
|
||||
import ast, json
|
||||
|
||||
request_data = {}
|
||||
body = await request.body()
|
||||
body_str = body.decode()
|
||||
try:
|
||||
request_data = ast.literal_eval(body_str)
|
||||
except:
|
||||
request_data = json.loads(body_str)
|
||||
return request_data
|
||||
|
||||
|
||||
# LiteLLM Admin UI - Non SSO Login
|
||||
html_form = """
|
||||
<!DOCTYPE html>
|
||||
|
|
|
|||
|
|
@ -513,4 +513,4 @@ def test_dynamo_db_migration(custom_db_client):
|
|||
|
||||
asyncio.run(test())
|
||||
except Exception as e:
|
||||
pytest.fail(f"An exception occurred - {str(e)}")
|
||||
pytest.fail(f"An exception occurred - {traceback.format_exc()}")
|
||||
|
|
|
|||
|
|
@ -322,6 +322,87 @@ def test_call_with_user_over_budget(prisma_client):
|
|||
print(vars(e))
|
||||
|
||||
|
||||
def test_call_with_end_user_over_budget(prisma_client):
|
||||
# Test if a user passed to /chat/completions is tracked & fails whe they cross their budget
|
||||
# we only check this when litellm.max_user_budget is set
|
||||
import random
|
||||
|
||||
setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
|
||||
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
|
||||
setattr(litellm, "max_user_budget", 0.00001)
|
||||
try:
|
||||
|
||||
async def test():
|
||||
await litellm.proxy.proxy_server.prisma_client.connect()
|
||||
request = GenerateKeyRequest() # create a key with no budget
|
||||
key = await new_user(request)
|
||||
print(key)
|
||||
|
||||
generated_key = key.key
|
||||
bearer_token = "Bearer " + generated_key
|
||||
user = f"ishaan {random.randint(0, 10000)}"
|
||||
request = Request(scope={"type": "http"})
|
||||
request._url = URL(url="/chat/completions")
|
||||
|
||||
async def return_body():
|
||||
return_string = f'{{"model": "gemini-pro-vision", "user": "{user}"}}'
|
||||
# return string as bytes
|
||||
return return_string.encode()
|
||||
|
||||
request.body = return_body
|
||||
|
||||
# update spend using track_cost callback, make 2nd request, it should fail
|
||||
from litellm.proxy.proxy_server import (
|
||||
_PROXY_track_cost_callback as track_cost_callback,
|
||||
)
|
||||
from litellm import ModelResponse, Choices, Message, Usage
|
||||
|
||||
resp = ModelResponse(
|
||||
id="chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac",
|
||||
choices=[
|
||||
Choices(
|
||||
finish_reason=None,
|
||||
index=0,
|
||||
message=Message(
|
||||
content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
|
||||
role="assistant",
|
||||
),
|
||||
)
|
||||
],
|
||||
model="gpt-35-turbo", # azure always has model written like this
|
||||
usage=Usage(prompt_tokens=210, completion_tokens=200, total_tokens=410),
|
||||
)
|
||||
await track_cost_callback(
|
||||
kwargs={
|
||||
"stream": False,
|
||||
"litellm_params": {
|
||||
"metadata": {
|
||||
"user_api_key": generated_key,
|
||||
"user_api_key_user_id": user,
|
||||
},
|
||||
"proxy_server_request": {
|
||||
"user": user,
|
||||
},
|
||||
},
|
||||
"response_cost": 10,
|
||||
},
|
||||
completion_response=resp,
|
||||
start_time=datetime.now(),
|
||||
end_time=datetime.now(),
|
||||
)
|
||||
await asyncio.sleep(5)
|
||||
# use generated key to auth in
|
||||
result = await user_api_key_auth(request=request, api_key=bearer_token)
|
||||
print("result from user auth with new key", result)
|
||||
pytest.fail(f"This should have failed!. They key crossed it's budget")
|
||||
|
||||
asyncio.run(test())
|
||||
except Exception as e:
|
||||
error_detail = e.message
|
||||
assert "Authentication Error, ExceededBudget:" in error_detail
|
||||
print(vars(e))
|
||||
|
||||
|
||||
def test_call_with_proxy_over_budget(prisma_client):
|
||||
# 5.1 Make a call with a proxy over budget, expect to fail
|
||||
setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
|
||||
|
|
|
|||
|
|
@ -169,6 +169,8 @@ def map_finish_reason(
|
|||
return "stop"
|
||||
elif finish_reason == "SAFETY": # vertex ai
|
||||
return "content_filter"
|
||||
elif finish_reason == "STOP": # vertex ai
|
||||
return "stop"
|
||||
return finish_reason
|
||||
|
||||
|
||||
|
|
@ -1305,7 +1307,7 @@ class Logging:
|
|||
)
|
||||
if callback == "langfuse":
|
||||
global langFuseLogger
|
||||
verbose_logger.debug("reaches langfuse for logging!")
|
||||
verbose_logger.debug("reaches langfuse for success logging!")
|
||||
kwargs = {}
|
||||
for k, v in self.model_call_details.items():
|
||||
if (
|
||||
|
|
@ -6716,7 +6718,13 @@ def exception_type(
|
|||
message=f"VertexAIException - {error_str}",
|
||||
model=model,
|
||||
llm_provider="vertex_ai",
|
||||
response=original_exception.response,
|
||||
response=httpx.Response(
|
||||
status_code=429,
|
||||
request=httpx.Request(
|
||||
method="POST",
|
||||
url=" https://cloud.google.com/vertex-ai/",
|
||||
),
|
||||
),
|
||||
)
|
||||
elif (
|
||||
"429 Quota exceeded" in error_str
|
||||
|
|
@ -8351,13 +8359,20 @@ class CustomStreamWrapper:
|
|||
completion_obj["content"] = chunk.text
|
||||
elif self.custom_llm_provider and (self.custom_llm_provider == "vertex_ai"):
|
||||
try:
|
||||
# print(chunk)
|
||||
if hasattr(chunk, "text"):
|
||||
# vertexAI chunks return
|
||||
# MultiCandidateTextGenerationResponse(text=' ```python\n# This Python code says "Hi" 100 times.\n\n# Create', _prediction_response=Prediction(predictions=[{'candidates': [{'content': ' ```python\n# This Python code says "Hi" 100 times.\n\n# Create', 'author': '1'}], 'citationMetadata': [{'citations': None}], 'safetyAttributes': [{'blocked': False, 'scores': None, 'categories': None}]}], deployed_model_id='', model_version_id=None, model_resource_name=None, explanations=None), is_blocked=False, safety_attributes={}, candidates=[ ```python
|
||||
# This Python code says "Hi" 100 times.
|
||||
# Create])
|
||||
if hasattr(chunk, "candidates") == True:
|
||||
try:
|
||||
completion_obj["content"] = chunk.text
|
||||
if hasattr(chunk.candidates[0], "finish_reason"):
|
||||
model_response.choices[
|
||||
0
|
||||
].finish_reason = map_finish_reason(
|
||||
chunk.candidates[0].finish_reason.name
|
||||
)
|
||||
except:
|
||||
if chunk.candidates[0].finish_reason.name == "SAFETY":
|
||||
raise Exception(
|
||||
f"The response was blocked by VertexAI. {str(chunk)}"
|
||||
)
|
||||
else:
|
||||
completion_obj["content"] = str(chunk)
|
||||
except StopIteration as e:
|
||||
|
|
@ -8646,7 +8661,6 @@ class CustomStreamWrapper:
|
|||
or self.custom_llm_provider == "ollama_chat"
|
||||
or self.custom_llm_provider == "vertex_ai"
|
||||
):
|
||||
print_verbose(f"INSIDE ASYNC STREAMING!!!")
|
||||
print_verbose(
|
||||
f"value of async completion stream: {self.completion_stream}"
|
||||
)
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
[tool.poetry]
|
||||
name = "litellm"
|
||||
version = "1.22.9"
|
||||
version = "1.22.11"
|
||||
description = "Library to easily interface with LLM API providers"
|
||||
authors = ["BerriAI"]
|
||||
license = "MIT"
|
||||
|
|
@ -69,7 +69,7 @@ requires = ["poetry-core", "wheel"]
|
|||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[tool.commitizen]
|
||||
version = "1.22.9"
|
||||
version = "1.22.11"
|
||||
version_files = [
|
||||
"pyproject.toml:^version"
|
||||
]
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -1 +0,0 @@
|
|||
(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[185],{87421:function(n,e,t){Promise.resolve().then(t.t.bind(t,99646,23)),Promise.resolve().then(t.t.bind(t,63385,23))},63385:function(){},99646:function(n){n.exports={style:{fontFamily:"'__Inter_c23dc8', '__Inter_Fallback_c23dc8'",fontStyle:"normal"},className:"__className_c23dc8"}}},function(n){n.O(0,[971,69,744],function(){return n(n.s=87421)}),_N_E=n.O()}]);
|
||||
File diff suppressed because one or more lines are too long
|
|
@ -1 +0,0 @@
|
|||
self.__BUILD_MANIFEST={__rewrites:{afterFiles:[],beforeFiles:[],fallback:[]},"/_error":["static/chunks/pages/_error-d6107f1aac0c574c.js"],sortedPages:["/_app","/_error"]},self.__BUILD_MANIFEST_CB&&self.__BUILD_MANIFEST_CB();
|
||||
|
|
@ -1 +0,0 @@
|
|||
self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB()
|
||||
File diff suppressed because one or more lines are too long
|
|
@ -1,7 +1,7 @@
|
|||
2:"$Sreact.suspense"
|
||||
3:I[27680,["787","static/chunks/787-5bb33960644f5c7c.js","931","static/chunks/app/page-992f4cdd1053ee86.js"],""]
|
||||
3:I[27680,["787","static/chunks/787-5bb33960644f5c7c.js","931","static/chunks/app/page-7f03ccc8529ada97.js"],""]
|
||||
4:I[5613,[],""]
|
||||
5:I[31778,[],""]
|
||||
0:["lGjwnJSGwBqa476jHHI8W",[[["",{"children":["__PAGE__",{}]},"$undefined","$undefined",true],["",{"children":["__PAGE__",{},["$L1",["$","$2",null,{"fallback":["$","div",null,{"children":"Loading..."}],"children":["$","div",null,{"className":"flex min-h-screen flex-col ","children":["$","$L3",null,{}]}]}],null]]},[null,["$","html",null,{"lang":"en","children":["$","body",null,{"className":"__className_c23dc8","children":["$","$L4",null,{"parallelRouterKey":"children","segmentPath":["children"],"loading":"$undefined","loadingStyles":"$undefined","loadingScripts":"$undefined","hasLoading":false,"error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[["$","title",null,{"children":"404: This page could not be found."}],["$","div",null,{"style":{"fontFamily":"system-ui,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\"","height":"100vh","textAlign":"center","display":"flex","flexDirection":"column","alignItems":"center","justifyContent":"center"},"children":["$","div",null,{"children":[["$","style",null,{"dangerouslySetInnerHTML":{"__html":"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}"}}],["$","h1",null,{"className":"next-error-h1","style":{"display":"inline-block","margin":"0 20px 0 0","padding":"0 23px 0 0","fontSize":24,"fontWeight":500,"verticalAlign":"top","lineHeight":"49px"},"children":"404"}],["$","div",null,{"style":{"display":"inline-block"},"children":["$","h2",null,{"style":{"fontSize":14,"fontWeight":400,"lineHeight":"49px","margin":0},"children":"This page could not be found."}]}]]}]}]],"notFoundStyles":[],"styles":null}]}]}],null]],[[["$","link","0",{"rel":"stylesheet","href":"/ui/_next/static/css/a6a9860a7fe022a9.css","precedence":"next","crossOrigin":""}]],"$L6"]]]]
|
||||
6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"Create Next App"}],["$","meta","3",{"name":"description","content":"Generated by create next app"}],["$","link","4",{"rel":"icon","href":"/ui/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
||||
0:["p5gDwQBbgW8D3Uz3lgoZg",[[["",{"children":["__PAGE__",{}]},"$undefined","$undefined",true],["",{"children":["__PAGE__",{},["$L1",["$","$2",null,{"fallback":["$","div",null,{"children":"Loading..."}],"children":["$","div",null,{"className":"flex min-h-screen flex-col ","children":["$","$L3",null,{}]}]}],null]]},[null,["$","html",null,{"lang":"en","children":["$","body",null,{"className":"__className_c23dc8","children":["$","$L4",null,{"parallelRouterKey":"children","segmentPath":["children"],"loading":"$undefined","loadingStyles":"$undefined","loadingScripts":"$undefined","hasLoading":false,"error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[["$","title",null,{"children":"404: This page could not be found."}],["$","div",null,{"style":{"fontFamily":"system-ui,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\"","height":"100vh","textAlign":"center","display":"flex","flexDirection":"column","alignItems":"center","justifyContent":"center"},"children":["$","div",null,{"children":[["$","style",null,{"dangerouslySetInnerHTML":{"__html":"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}"}}],["$","h1",null,{"className":"next-error-h1","style":{"display":"inline-block","margin":"0 20px 0 0","padding":"0 23px 0 0","fontSize":24,"fontWeight":500,"verticalAlign":"top","lineHeight":"49px"},"children":"404"}],["$","div",null,{"style":{"display":"inline-block"},"children":["$","h2",null,{"style":{"fontSize":14,"fontWeight":400,"lineHeight":"49px","margin":0},"children":"This page could not be found."}]}]]}]}]],"notFoundStyles":[],"styles":null}]}]}],null]],[[["$","link","0",{"rel":"stylesheet","href":"/ui/_next/static/css/a6a9860a7fe022a9.css","precedence":"next","crossOrigin":""}]],"$L6"]]]]
|
||||
6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"🚅 LiteLLM"}],["$","meta","3",{"name":"description","content":"LiteLLM Proxy Admin UI"}],["$","link","4",{"rel":"icon","href":"/ui/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
||||
1:null
|
||||
|
|
|
|||
|
|
@ -1,40 +1,50 @@
|
|||
"use client";
|
||||
|
||||
import Link from 'next/link';
|
||||
import Image from 'next/image'
|
||||
import React, { useState } from 'react';
|
||||
import Link from "next/link";
|
||||
import Image from "next/image";
|
||||
import React, { useState } from "react";
|
||||
import { useSearchParams } from "next/navigation";
|
||||
import { Button, Text, Metric,Title, TextInput, Grid, Col, Card } from "@tremor/react";
|
||||
import {
|
||||
Button,
|
||||
Text,
|
||||
Metric,
|
||||
Title,
|
||||
TextInput,
|
||||
Grid,
|
||||
Col,
|
||||
Card,
|
||||
} from "@tremor/react";
|
||||
|
||||
// Define the props type
|
||||
interface NavbarProps {
|
||||
userID: string | null;
|
||||
userRole: string | null;
|
||||
userEmail: string | null;
|
||||
}
|
||||
const Navbar: React.FC<NavbarProps> = ({ userID, userRole }) => {
|
||||
const Navbar: React.FC<NavbarProps> = ({ userID, userRole, userEmail }) => {
|
||||
console.log("User ID:", userID);
|
||||
console.log("userEmail:", userEmail);
|
||||
|
||||
return (
|
||||
<nav className="left-0 right-0 top-0 flex justify-between items-center h-12 mb-4">
|
||||
<div className="text-left mx-4 my-2 absolute top-0 left-0">
|
||||
<div className="flex flex-col items-center">
|
||||
<Link href="/">
|
||||
<button className="text-gray-800 text-2xl px-4 py-1 rounded text-center">🚅 LiteLLM</button>
|
||||
<button className="text-gray-800 text-2xl px-4 py-1 rounded text-center">
|
||||
🚅 LiteLLM
|
||||
</button>
|
||||
</Link>
|
||||
</div>
|
||||
</div>
|
||||
<div className="text-right mx-4 my-2 absolute top-0 right-0">
|
||||
<Button variant='secondary'>
|
||||
{userID}
|
||||
<p>
|
||||
Role: {userRole}
|
||||
</p>
|
||||
|
||||
<Button variant="secondary">
|
||||
{userEmail}
|
||||
<p>Role: {userRole}</p>
|
||||
<p>ID: {userID}</p>
|
||||
</Button>
|
||||
</div>
|
||||
|
||||
</nav>
|
||||
)
|
||||
}
|
||||
);
|
||||
};
|
||||
|
||||
export default Navbar;
|
||||
|
|
@ -1,15 +1,15 @@
|
|||
/**
|
||||
* Helper file for calls being made to proxy
|
||||
*/
|
||||
import { message } from 'antd';
|
||||
import { message } from "antd";
|
||||
|
||||
const proxyBaseUrl = null;
|
||||
// const proxyBaseUrl = "http://localhost:4000" // http://localhost:4000
|
||||
const isLocal = process.env.NODE_ENV === "development";
|
||||
const proxyBaseUrl = isLocal ? "http://localhost:4000" : null;
|
||||
|
||||
export const keyCreateCall = async (
|
||||
accessToken: string,
|
||||
userID: string,
|
||||
formValues: Record<string, any>, // Assuming formValues is an object
|
||||
formValues: Record<string, any> // Assuming formValues is an object
|
||||
) => {
|
||||
try {
|
||||
console.log("Form Values in keyCreateCall:", formValues); // Log the form values before making the API call
|
||||
|
|
@ -18,7 +18,7 @@ export const keyCreateCall = async (
|
|||
if (formValues.description) {
|
||||
// add to formValues.metadata
|
||||
if (!formValues.metadata) {
|
||||
formValues.metadata = {}
|
||||
formValues.metadata = {};
|
||||
}
|
||||
// value needs to be in "", valid JSON
|
||||
formValues.metadata.description = formValues.description;
|
||||
|
|
@ -69,15 +69,11 @@ export const keyCreateCall = async (
|
|||
}
|
||||
};
|
||||
|
||||
|
||||
export const keyDeleteCall = async (
|
||||
accessToken: String,
|
||||
user_key: String
|
||||
) => {
|
||||
export const keyDeleteCall = async (accessToken: String, user_key: String) => {
|
||||
try {
|
||||
const url = proxyBaseUrl ? `${proxyBaseUrl}/key/delete` : `/key/delete`;
|
||||
console.log("in keyDeleteCall:", user_key)
|
||||
|
||||
console.log("in keyDeleteCall:", user_key);
|
||||
message.info("Making key delete request");
|
||||
const response = await fetch(url, {
|
||||
method: "POST",
|
||||
headers: {
|
||||
|
|
@ -108,21 +104,22 @@ export const keyDeleteCall = async (
|
|||
|
||||
export const userInfoCall = async (
|
||||
accessToken: String,
|
||||
userID: String
|
||||
userID: String,
|
||||
userRole: String
|
||||
) => {
|
||||
try {
|
||||
const url = proxyBaseUrl ? `${proxyBaseUrl}/user/info` : `/user/info`;
|
||||
console.log("in userInfoCall:", url)
|
||||
const response = await fetch(
|
||||
`${url}/?user_id=${userID}`,
|
||||
{
|
||||
let url = proxyBaseUrl ? `${proxyBaseUrl}/user/info` : `/user/info`;
|
||||
if (userRole == "App Owner") {
|
||||
url = `${url}/?user_id=${userID}`;
|
||||
}
|
||||
message.info("Requesting user data");
|
||||
const response = await fetch(url, {
|
||||
method: "GET",
|
||||
headers: {
|
||||
Authorization: `Bearer ${accessToken}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
}
|
||||
);
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const errorData = await response.text();
|
||||
|
|
@ -131,7 +128,7 @@ export const userInfoCall = async (
|
|||
}
|
||||
|
||||
const data = await response.json();
|
||||
console.log(data);
|
||||
message.info("Received user data");
|
||||
return data;
|
||||
// Handle success - you might want to update some state or UI based on the created key
|
||||
} catch (error) {
|
||||
|
|
@ -140,24 +137,17 @@ export const userInfoCall = async (
|
|||
}
|
||||
};
|
||||
|
||||
|
||||
export const keySpendLogsCall = async (
|
||||
accessToken: String,
|
||||
token: String
|
||||
) => {
|
||||
export const keySpendLogsCall = async (accessToken: String, token: String) => {
|
||||
try {
|
||||
const url = proxyBaseUrl ? `${proxyBaseUrl}/spend/logs` : `/spend/logs`;
|
||||
console.log("in keySpendLogsCall:", url)
|
||||
const response = await fetch(
|
||||
`${url}/?api_key=${token}`,
|
||||
{
|
||||
console.log("in keySpendLogsCall:", url);
|
||||
const response = await fetch(`${url}/?api_key=${token}`, {
|
||||
method: "GET",
|
||||
headers: {
|
||||
Authorization: `Bearer ${accessToken}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
}
|
||||
);
|
||||
});
|
||||
if (!response.ok) {
|
||||
const errorData = await response.text();
|
||||
message.error(errorData);
|
||||
|
|
@ -171,4 +161,4 @@ export const keySpendLogsCall = async (
|
|||
console.error("Failed to create key:", error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
|
|
|||
|
|
@ -6,21 +6,25 @@ import CreateKey from "./create_key_button";
|
|||
import ViewKeyTable from "./view_key_table";
|
||||
import ViewUserSpend from "./view_user_spend";
|
||||
import EnterProxyUrl from "./enter_proxy_url";
|
||||
import { message } from "antd";
|
||||
import Navbar from "./navbar";
|
||||
import { useSearchParams } from "next/navigation";
|
||||
import { jwtDecode } from "jwt-decode";
|
||||
|
||||
const proxyBaseUrl = null;
|
||||
// const proxyBaseUrl = "http://localhost:4000" // http://localhost:4000
|
||||
const isLocal = process.env.NODE_ENV === "development";
|
||||
console.log("isLocal:", isLocal);
|
||||
const proxyBaseUrl = isLocal ? "http://localhost:4000" : null;
|
||||
|
||||
type UserSpendData = {
|
||||
spend: number;
|
||||
max_budget?: number | null;
|
||||
}
|
||||
};
|
||||
|
||||
const UserDashboard = () => {
|
||||
const [data, setData] = useState<null | any[]>(null); // Keep the initialization of state here
|
||||
const [userSpendData, setUserSpendData] = useState<UserSpendData | null>(null);
|
||||
const [userSpendData, setUserSpendData] = useState<UserSpendData | null>(
|
||||
null
|
||||
);
|
||||
|
||||
// Assuming useSearchParams() hook exists and works in your setup
|
||||
const searchParams = useSearchParams();
|
||||
|
|
@ -30,19 +34,19 @@ const UserDashboard = () => {
|
|||
const token = searchParams.get("token");
|
||||
const [accessToken, setAccessToken] = useState<string | null>(null);
|
||||
const [userRole, setUserRole] = useState<string | null>(null);
|
||||
|
||||
const [userEmail, setUserEmail] = useState<string | null>(null);
|
||||
|
||||
function formatUserRole(userRole: string) {
|
||||
if (!userRole) {
|
||||
return "Undefined Role";
|
||||
}
|
||||
|
||||
console.log(`Received user role: ${userRole}`);
|
||||
switch (userRole.toLowerCase()) {
|
||||
case "app_owner":
|
||||
return "App Owner";
|
||||
case "demo_app_owner":
|
||||
return "App Owner";
|
||||
case "admin":
|
||||
case "app_admin":
|
||||
return "Admin";
|
||||
case "app_user":
|
||||
return "App User";
|
||||
|
|
@ -71,17 +75,19 @@ const UserDashboard = () => {
|
|||
} else {
|
||||
console.log("User role not defined");
|
||||
}
|
||||
|
||||
if (decoded.user_email) {
|
||||
setUserEmail(decoded.user_email);
|
||||
} else {
|
||||
console.log(`User Email is not set ${decoded}`);
|
||||
}
|
||||
}
|
||||
if (userID && accessToken && !data) {
|
||||
}
|
||||
if (userID && accessToken && userRole && !data) {
|
||||
const fetchData = async () => {
|
||||
try {
|
||||
const response = await userInfoCall(
|
||||
accessToken,
|
||||
userID
|
||||
);
|
||||
console.log("Response:", response);
|
||||
setUserSpendData(response["user_info"])
|
||||
const response = await userInfoCall(accessToken, userID, userRole);
|
||||
setUserSpendData(response["user_info"]);
|
||||
setData(response["keys"]); // Assuming this is the correct path to your data
|
||||
} catch (error) {
|
||||
console.error("There was an error fetching the data", error);
|
||||
|
|
@ -93,35 +99,28 @@ const UserDashboard = () => {
|
|||
}, [userID, token, accessToken, data]);
|
||||
|
||||
if (userID == null || token == null) {
|
||||
|
||||
|
||||
// Now you can construct the full URL
|
||||
const url = proxyBaseUrl ? `${proxyBaseUrl}/sso/key/generate` : `/sso/key/generate`;
|
||||
const url = proxyBaseUrl
|
||||
? `${proxyBaseUrl}/sso/key/generate`
|
||||
: `/sso/key/generate`;
|
||||
console.log("Full URL:", url);
|
||||
window.location.href = url;
|
||||
|
||||
return null;
|
||||
}
|
||||
else if (accessToken == null) {
|
||||
} else if (accessToken == null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
if (userRole == null) {
|
||||
setUserRole("App Owner")
|
||||
setUserRole("App Owner");
|
||||
}
|
||||
|
||||
return (
|
||||
<div>
|
||||
<Navbar
|
||||
userID={userID}
|
||||
userRole={userRole}
|
||||
/>
|
||||
<Navbar userID={userID} userRole={userRole} userEmail={userEmail} />
|
||||
<Grid numItems={1} className="gap-0 p-10 h-[75vh] w-full">
|
||||
<Col numColSpan={1}>
|
||||
<ViewUserSpend
|
||||
userID={userID}
|
||||
userSpendData={userSpendData}
|
||||
/>
|
||||
<ViewUserSpend userID={userID} userSpendData={userSpendData} />
|
||||
<ViewKeyTable
|
||||
userID={userID}
|
||||
accessToken={accessToken}
|
||||
|
|
@ -138,7 +137,6 @@ const UserDashboard = () => {
|
|||
</Col>
|
||||
</Grid>
|
||||
</div>
|
||||
|
||||
);
|
||||
};
|
||||
|
||||
|
|
|
|||
|
|
@ -1,8 +1,26 @@
|
|||
"use client";
|
||||
|
||||
import React, { useState, useEffect } from "react";
|
||||
import { Button as Button2, Modal, Form, Input, InputNumber, Select, message } from "antd";
|
||||
import { Button, Text, Card, Table, BarChart, Title, Subtitle, BarList, Metric } from "@tremor/react";
|
||||
import {
|
||||
Button as Button2,
|
||||
Modal,
|
||||
Form,
|
||||
Input,
|
||||
InputNumber,
|
||||
Select,
|
||||
message,
|
||||
} from "antd";
|
||||
import {
|
||||
Button,
|
||||
Text,
|
||||
Card,
|
||||
Table,
|
||||
BarChart,
|
||||
Title,
|
||||
Subtitle,
|
||||
BarList,
|
||||
Metric,
|
||||
} from "@tremor/react";
|
||||
import { keySpendLogsCall } from "./networking";
|
||||
|
||||
interface ViewKeySpendReportProps {
|
||||
|
|
@ -19,13 +37,25 @@ type ResponseValueType = {
|
|||
user: string; // Assuming user is a string, adjust it if it's of a different type
|
||||
};
|
||||
|
||||
const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({ token, accessToken, keySpend, keyBudget, keyName }) => {
|
||||
const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({
|
||||
token,
|
||||
accessToken,
|
||||
keySpend,
|
||||
keyBudget,
|
||||
keyName,
|
||||
}) => {
|
||||
const [isModalVisible, setIsModalVisible] = useState(false);
|
||||
const [data, setData] = useState<{ day: string; spend: number; }[] | null>(null);
|
||||
const [userData, setUserData] = useState<{ name: string; value: number; }[] | null>(null);
|
||||
const [data, setData] = useState<{ day: string; spend: number }[] | null>(
|
||||
null
|
||||
);
|
||||
const [userData, setUserData] = useState<
|
||||
{ name: string; value: number }[] | null
|
||||
>(null);
|
||||
|
||||
const showModal = () => {
|
||||
console.log("Show Modal triggered");
|
||||
setIsModalVisible(true);
|
||||
fetchData();
|
||||
};
|
||||
|
||||
const handleOk = () => {
|
||||
|
|
@ -42,22 +72,29 @@ const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({ token, accessTo
|
|||
if (accessToken == null || token == null) {
|
||||
return;
|
||||
}
|
||||
const response = await keySpendLogsCall(accessToken=accessToken, token=token);
|
||||
console.log(`accessToken: ${accessToken}; token: ${token}`);
|
||||
const response = await keySpendLogsCall(
|
||||
(accessToken = accessToken),
|
||||
(token = token)
|
||||
);
|
||||
console.log("Response:", response);
|
||||
// loop through response
|
||||
// get spend, startTime for each element, place in new array
|
||||
|
||||
|
||||
const pricePerDay: Record<string, number> = (Object.values(response) as ResponseValueType[]).reduce((acc: Record<string, number>, value) => {
|
||||
const pricePerDay: Record<string, number> = (
|
||||
Object.values(response) as ResponseValueType[]
|
||||
).reduce((acc: Record<string, number>, value) => {
|
||||
const startTime = new Date(value.startTime);
|
||||
const day = new Intl.DateTimeFormat('en-US', { day: '2-digit', month: 'short' }).format(startTime);
|
||||
const day = new Intl.DateTimeFormat("en-US", {
|
||||
day: "2-digit",
|
||||
month: "short",
|
||||
}).format(startTime);
|
||||
|
||||
acc[day] = (acc[day] || 0) + value.spend;
|
||||
|
||||
return acc;
|
||||
}, {});
|
||||
|
||||
|
||||
// sort pricePerDay by day
|
||||
// Convert object to array of key-value pairs
|
||||
const pricePerDayArray = Object.entries(pricePerDay);
|
||||
|
|
@ -72,17 +109,17 @@ const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({ token, accessTo
|
|||
// Convert the sorted array back to an object
|
||||
const sortedPricePerDay = Object.fromEntries(pricePerDayArray);
|
||||
|
||||
|
||||
console.log(sortedPricePerDay);
|
||||
|
||||
const pricePerUser: Record<string, number> = (Object.values(response) as ResponseValueType[]).reduce((acc: Record<string, number>, value) => {
|
||||
const pricePerUser: Record<string, number> = (
|
||||
Object.values(response) as ResponseValueType[]
|
||||
).reduce((acc: Record<string, number>, value) => {
|
||||
const user = value.user;
|
||||
acc[user] = (acc[user] || 0) + value.spend;
|
||||
|
||||
return acc;
|
||||
}, {});
|
||||
|
||||
|
||||
console.log(pricePerDay);
|
||||
console.log(pricePerUser);
|
||||
|
||||
|
|
@ -97,11 +134,15 @@ const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({ token, accessTo
|
|||
arrayBarChart.push({ day: key, spend: value });
|
||||
}
|
||||
|
||||
|
||||
// get 5 most expensive users
|
||||
const sortedUsers = Object.entries(pricePerUser).sort((a, b) => b[1] - a[1]);
|
||||
const sortedUsers = Object.entries(pricePerUser).sort(
|
||||
(a, b) => b[1] - a[1]
|
||||
);
|
||||
const top5Users = sortedUsers.slice(0, 5);
|
||||
const userChart = top5Users.map(([key, value]) => ({ name: key, value: value }));
|
||||
const userChart = top5Users.map(([key, value]) => ({
|
||||
name: key,
|
||||
value: value,
|
||||
}));
|
||||
|
||||
setData(arrayBarChart);
|
||||
setUserData(userChart);
|
||||
|
|
@ -112,11 +153,10 @@ const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({ token, accessTo
|
|||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
// Fetch data only when the token changes
|
||||
fetchData();
|
||||
}, [token]); // Dependency array containing the 'token' variable
|
||||
|
||||
// useEffect(() => {
|
||||
// // Fetch data only when the token changes
|
||||
// fetchData();
|
||||
// }, [token]); // Dependency array containing the 'token' variable
|
||||
|
||||
if (!token) {
|
||||
return null;
|
||||
|
|
@ -134,7 +174,7 @@ const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({ token, accessTo
|
|||
onCancel={handleCancel}
|
||||
footer={null}
|
||||
>
|
||||
<Title style={{ textAlign: 'left' }}>Key Name: {keyName}</Title>
|
||||
<Title style={{ textAlign: "left" }}>Key Name: {keyName}</Title>
|
||||
|
||||
<Metric>Monthly Spend ${keySpend}</Metric>
|
||||
|
||||
|
|
@ -153,14 +193,9 @@ const ViewKeySpendReport: React.FC<ViewKeySpendReportProps> = ({ token, accessTo
|
|||
<Title className="mt-6">Top 5 Users Spend (USD)</Title>
|
||||
<Card className="mb-6">
|
||||
{userData && (
|
||||
<BarList
|
||||
className="mt-6"
|
||||
data={userData}
|
||||
color="teal"
|
||||
/>
|
||||
<BarList className="mt-6" data={userData} color="teal" />
|
||||
)}
|
||||
</Card>
|
||||
|
||||
</Modal>
|
||||
</div>
|
||||
);
|
||||
|
|
|
|||
|
|
@ -1,5 +1,5 @@
|
|||
"use client";
|
||||
import React, { useEffect } from "react";
|
||||
import React, { useEffect, useState } from "react";
|
||||
import { keyDeleteCall } from "./networking";
|
||||
import { StatusOnlineIcon, TrashIcon } from "@heroicons/react/outline";
|
||||
import {
|
||||
|
|
@ -32,6 +32,8 @@ const ViewKeyTable: React.FC<ViewKeyTableProps> = ({
|
|||
data,
|
||||
setData,
|
||||
}) => {
|
||||
const [isButtonClicked, setIsButtonClicked] = useState(false);
|
||||
|
||||
const handleDelete = async (token: String) => {
|
||||
if (data == null) {
|
||||
return;
|
||||
|
|
@ -116,8 +118,13 @@ const ViewKeyTable: React.FC<ViewKeyTableProps> = ({
|
|||
/>
|
||||
</TableCell>
|
||||
<TableCell>
|
||||
<ViewKeySpendReport token={item.token} accessToken={accessToken} keySpend={item.spend} keyBudget={item.max_budget} keyName={item.key_name} />
|
||||
|
||||
<ViewKeySpendReport
|
||||
token={item.token}
|
||||
accessToken={accessToken}
|
||||
keySpend={item.spend}
|
||||
keyBudget={item.max_budget}
|
||||
keyName={item.key_name}
|
||||
/>
|
||||
</TableCell>
|
||||
</TableRow>
|
||||
);
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue