forked from phoenix/litellm-mirror
Merge branch 'main' into litellm_daily_metrics
This commit is contained in:
Ishaan Jaff
GitHub
commit
990439c49c
33 changed files with 366 additions and 380 deletions
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@ -130,6 +130,7 @@ jobs:
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||||||
pip install "langfuse>=2.0.0"
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pip install "langfuse>=2.0.0"
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||||||
pip install numpydoc
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pip install numpydoc
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||||||
pip install prisma
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pip install prisma
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pip install fastapi
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||||||
pip install "httpx==0.24.1"
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pip install "httpx==0.24.1"
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||||||
pip install "gunicorn==21.2.0"
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pip install "gunicorn==21.2.0"
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pip install "anyio==3.7.1"
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pip install "anyio==3.7.1"
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||||||
|
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||||||
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@ -1,3 +1,6 @@
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import Tabs from '@theme/Tabs';
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||||||
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import TabItem from '@theme/TabItem';
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||||||
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||||||
# VertexAI - Google [Gemini, Model Garden]
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# VertexAI - Google [Gemini, Model Garden]
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||||||
|
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||||||
<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/liteLLM_VertextAI_Example.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/liteLLM_VertextAI_Example.ipynb">
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||||||
|
|
@ -22,8 +25,36 @@ response = litellm.completion(model="gemini-pro", messages=[{"role": "user", "co
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||||||
## OpenAI Proxy Usage
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## OpenAI Proxy Usage
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||||||
|
|
||||||
|
Here's how to use Vertex AI with the LiteLLM Proxy Server
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||||||
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||||||
1. Modify the config.yaml
|
1. Modify the config.yaml
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||||||
|
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||||||
|
<Tabs>
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||||||
|
|
||||||
|
<TabItem value="completion_param" label="Different location per model">
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||||||
|
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||||||
|
Use this when you need to set a different location for each vertex model
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||||||
|
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||||||
|
```yaml
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model_list:
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||||||
|
- model_name: gemini-vision
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|
litellm_params:
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||||||
|
model: vertex_ai/gemini-1.0-pro-vision-001
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|
vertex_project: "project-id"
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||||||
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vertex_location: "us-central1"
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||||||
|
- model_name: gemini-vision
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||||||
|
litellm_params:
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||||||
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model: vertex_ai/gemini-1.0-pro-vision-001
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||||||
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vertex_project: "project-id2"
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||||||
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vertex_location: "us-east"
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||||||
|
```
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||||||
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||||||
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</TabItem>
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||||||
|
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||||||
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<TabItem value="litellm_param" label="One location all vertex models">
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||||||
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||||||
|
Use this when you have one vertex location for all models
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||||||
|
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||||||
```yaml
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```yaml
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litellm_settings:
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litellm_settings:
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vertex_project: "hardy-device-38811" # Your Project ID
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vertex_project: "hardy-device-38811" # Your Project ID
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|
@ -35,6 +66,10 @@ model_list:
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model: gemini-pro
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model: gemini-pro
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```
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```
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</TabItem>
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||||||
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</Tabs>
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2. Start the proxy
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2. Start the proxy
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```bash
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```bash
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@ -110,3 +110,138 @@ async def view_spend_logs_from_clickhouse(
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"log_count": num_rows,
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"log_count": num_rows,
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}
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}
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return response_data
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return response_data
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||||||
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def _create_clickhouse_material_views(client=None, table_names=[]):
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# Create Materialized Views if they don't exist
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# Materialized Views send new inserted rows to the aggregate tables
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verbose_logger.debug("Clickhouse: Creating Materialized Views")
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if "daily_aggregated_spend_per_model_mv" not in table_names:
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verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_model_mv")
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client.command(
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"""
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CREATE MATERIALIZED VIEW daily_aggregated_spend_per_model_mv
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||||||
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TO daily_aggregated_spend_per_model
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AS
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SELECT
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toDate(startTime) as day,
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sumState(spend) AS DailySpend,
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model as model
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FROM spend_logs
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GROUP BY
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day, model
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"""
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)
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if "daily_aggregated_spend_per_api_key_mv" not in table_names:
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verbose_logger.debug(
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"Clickhouse: Creating daily_aggregated_spend_per_api_key_mv"
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)
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client.command(
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"""
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CREATE MATERIALIZED VIEW daily_aggregated_spend_per_api_key_mv
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TO daily_aggregated_spend_per_api_key
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AS
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SELECT
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toDate(startTime) as day,
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sumState(spend) AS DailySpend,
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api_key as api_key
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FROM spend_logs
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GROUP BY
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day, api_key
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|
"""
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)
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|
if "daily_aggregated_spend_per_user_mv" not in table_names:
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||||||
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verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_user_mv")
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client.command(
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|
"""
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CREATE MATERIALIZED VIEW daily_aggregated_spend_per_user_mv
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||||||
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TO daily_aggregated_spend_per_user
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AS
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||||||
|
SELECT
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toDate(startTime) as day,
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sumState(spend) AS DailySpend,
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user as user
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FROM spend_logs
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GROUP BY
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day, user
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||||||
|
"""
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||||||
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)
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if "daily_aggregated_spend_mv" not in table_names:
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verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_mv")
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||||||
|
client.command(
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||||||
|
"""
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||||||
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CREATE MATERIALIZED VIEW daily_aggregated_spend_mv
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||||||
|
TO daily_aggregated_spend
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||||||
|
AS
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||||||
|
SELECT
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toDate(startTime) as day,
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sumState(spend) AS DailySpend
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|
FROM spend_logs
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GROUP BY
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day
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||||||
|
"""
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||||||
|
)
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||||||
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|
||||||
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||||||
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def _create_clickhouse_aggregate_tables(client=None, table_names=[]):
|
||||||
|
# Basic Logging works without this - this is only used for low latency reporting apis
|
||||||
|
verbose_logger.debug("Clickhouse: Creating Aggregate Tables")
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||||||
|
|
||||||
|
# Create Aggregeate Tables if they don't exist
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||||||
|
if "daily_aggregated_spend_per_model" not in table_names:
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||||||
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verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_model")
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||||||
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client.command(
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||||||
|
"""
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||||||
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CREATE TABLE daily_aggregated_spend_per_model
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(
|
||||||
|
`day` Date,
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|
`DailySpend` AggregateFunction(sum, Float64),
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||||||
|
`model` String
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||||||
|
)
|
||||||
|
ENGINE = SummingMergeTree()
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||||||
|
ORDER BY (day, model);
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||||||
|
"""
|
||||||
|
)
|
||||||
|
if "daily_aggregated_spend_per_api_key" not in table_names:
|
||||||
|
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_api_key")
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||||||
|
client.command(
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||||||
|
"""
|
||||||
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CREATE TABLE daily_aggregated_spend_per_api_key
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||||||
|
(
|
||||||
|
`day` Date,
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|
`DailySpend` AggregateFunction(sum, Float64),
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||||||
|
`api_key` String
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||||||
|
)
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||||||
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ENGINE = SummingMergeTree()
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||||||
|
ORDER BY (day, api_key);
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||||||
|
"""
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||||||
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)
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||||||
|
if "daily_aggregated_spend_per_user" not in table_names:
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||||||
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verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_user")
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||||||
|
client.command(
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||||||
|
"""
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CREATE TABLE daily_aggregated_spend_per_user
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|
(
|
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|
`day` Date,
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`DailySpend` AggregateFunction(sum, Float64),
|
||||||
|
`user` String
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||||||
|
)
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||||||
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ENGINE = SummingMergeTree()
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||||||
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ORDER BY (day, user);
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||||||
|
"""
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||||||
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)
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||||||
|
if "daily_aggregated_spend" not in table_names:
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||||||
|
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend")
|
||||||
|
client.command(
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||||||
|
"""
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||||||
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CREATE TABLE daily_aggregated_spend
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||||||
|
(
|
||||||
|
`day` Date,
|
||||||
|
`DailySpend` AggregateFunction(sum, Float64),
|
||||||
|
)
|
||||||
|
ENGINE = SummingMergeTree()
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||||||
|
ORDER BY (day);
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||||||
|
"""
|
||||||
|
)
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||||||
|
return
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||||||
|
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|
||||||
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|
@ -172,141 +172,6 @@ def build_daily_metrics():
|
||||||
# build_daily_metrics()
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# build_daily_metrics()
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||||||
|
|
||||||
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|
||||||
def _create_clickhouse_material_views(client=None, table_names=[]):
|
|
||||||
# Create Materialized Views if they don't exist
|
|
||||||
# Materialized Views send new inserted rows to the aggregate tables
|
|
||||||
|
|
||||||
verbose_logger.debug("Clickhouse: Creating Materialized Views")
|
|
||||||
if "daily_aggregated_spend_per_model_mv" not in table_names:
|
|
||||||
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_model_mv")
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE MATERIALIZED VIEW daily_aggregated_spend_per_model_mv
|
|
||||||
TO daily_aggregated_spend_per_model
|
|
||||||
AS
|
|
||||||
SELECT
|
|
||||||
toDate(startTime) as day,
|
|
||||||
sumState(spend) AS DailySpend,
|
|
||||||
model as model
|
|
||||||
FROM spend_logs
|
|
||||||
GROUP BY
|
|
||||||
day, model
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
if "daily_aggregated_spend_per_api_key_mv" not in table_names:
|
|
||||||
verbose_logger.debug(
|
|
||||||
"Clickhouse: Creating daily_aggregated_spend_per_api_key_mv"
|
|
||||||
)
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE MATERIALIZED VIEW daily_aggregated_spend_per_api_key_mv
|
|
||||||
TO daily_aggregated_spend_per_api_key
|
|
||||||
AS
|
|
||||||
SELECT
|
|
||||||
toDate(startTime) as day,
|
|
||||||
sumState(spend) AS DailySpend,
|
|
||||||
api_key as api_key
|
|
||||||
FROM spend_logs
|
|
||||||
GROUP BY
|
|
||||||
day, api_key
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
if "daily_aggregated_spend_per_user_mv" not in table_names:
|
|
||||||
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_user_mv")
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE MATERIALIZED VIEW daily_aggregated_spend_per_user_mv
|
|
||||||
TO daily_aggregated_spend_per_user
|
|
||||||
AS
|
|
||||||
SELECT
|
|
||||||
toDate(startTime) as day,
|
|
||||||
sumState(spend) AS DailySpend,
|
|
||||||
user as user
|
|
||||||
FROM spend_logs
|
|
||||||
GROUP BY
|
|
||||||
day, user
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
if "daily_aggregated_spend_mv" not in table_names:
|
|
||||||
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_mv")
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE MATERIALIZED VIEW daily_aggregated_spend_mv
|
|
||||||
TO daily_aggregated_spend
|
|
||||||
AS
|
|
||||||
SELECT
|
|
||||||
toDate(startTime) as day,
|
|
||||||
sumState(spend) AS DailySpend
|
|
||||||
FROM spend_logs
|
|
||||||
GROUP BY
|
|
||||||
day
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
|
|
||||||
|
|
||||||
def _create_clickhouse_aggregate_tables(client=None, table_names=[]):
|
|
||||||
# Basic Logging works without this - this is only used for low latency reporting apis
|
|
||||||
verbose_logger.debug("Clickhouse: Creating Aggregate Tables")
|
|
||||||
|
|
||||||
# Create Aggregeate Tables if they don't exist
|
|
||||||
if "daily_aggregated_spend_per_model" not in table_names:
|
|
||||||
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_model")
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE TABLE daily_aggregated_spend_per_model
|
|
||||||
(
|
|
||||||
`day` Date,
|
|
||||||
`DailySpend` AggregateFunction(sum, Float64),
|
|
||||||
`model` String
|
|
||||||
)
|
|
||||||
ENGINE = SummingMergeTree()
|
|
||||||
ORDER BY (day, model);
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
if "daily_aggregated_spend_per_api_key" not in table_names:
|
|
||||||
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_api_key")
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE TABLE daily_aggregated_spend_per_api_key
|
|
||||||
(
|
|
||||||
`day` Date,
|
|
||||||
`DailySpend` AggregateFunction(sum, Float64),
|
|
||||||
`api_key` String
|
|
||||||
)
|
|
||||||
ENGINE = SummingMergeTree()
|
|
||||||
ORDER BY (day, api_key);
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
if "daily_aggregated_spend_per_user" not in table_names:
|
|
||||||
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend_per_user")
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE TABLE daily_aggregated_spend_per_user
|
|
||||||
(
|
|
||||||
`day` Date,
|
|
||||||
`DailySpend` AggregateFunction(sum, Float64),
|
|
||||||
`user` String
|
|
||||||
)
|
|
||||||
ENGINE = SummingMergeTree()
|
|
||||||
ORDER BY (day, user);
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
if "daily_aggregated_spend" not in table_names:
|
|
||||||
verbose_logger.debug("Clickhouse: Creating daily_aggregated_spend")
|
|
||||||
client.command(
|
|
||||||
"""
|
|
||||||
CREATE TABLE daily_aggregated_spend
|
|
||||||
(
|
|
||||||
`day` Date,
|
|
||||||
`DailySpend` AggregateFunction(sum, Float64),
|
|
||||||
)
|
|
||||||
ENGINE = SummingMergeTree()
|
|
||||||
ORDER BY (day);
|
|
||||||
"""
|
|
||||||
)
|
|
||||||
return
|
|
||||||
|
|
||||||
|
|
||||||
def _start_clickhouse():
|
def _start_clickhouse():
|
||||||
import clickhouse_connect
|
import clickhouse_connect
|
||||||
|
|
||||||
|
|
@ -368,6 +233,9 @@ def _start_clickhouse():
|
||||||
|
|
||||||
# RUN Enterprise Clickhouse Setup
|
# RUN Enterprise Clickhouse Setup
|
||||||
# TLDR: For Enterprise - we create views / aggregate tables for low latency reporting APIs
|
# TLDR: For Enterprise - we create views / aggregate tables for low latency reporting APIs
|
||||||
|
from litellm.proxy.enterprise.utils import _create_clickhouse_aggregate_tables
|
||||||
|
from litellm.proxy.enterprise.utils import _create_clickhouse_material_views
|
||||||
|
|
||||||
_create_clickhouse_aggregate_tables(client=client, table_names=table_names)
|
_create_clickhouse_aggregate_tables(client=client, table_names=table_names)
|
||||||
_create_clickhouse_material_views(client=client, table_names=table_names)
|
_create_clickhouse_material_views(client=client, table_names=table_names)
|
||||||
|
|
||||||
|
|
|
||||||
|
|
@ -278,7 +278,11 @@ def completion(
|
||||||
import google.auth
|
import google.auth
|
||||||
|
|
||||||
## Load credentials with the correct quota project ref: https://github.com/googleapis/python-aiplatform/issues/2557#issuecomment-1709284744
|
## Load credentials with the correct quota project ref: https://github.com/googleapis/python-aiplatform/issues/2557#issuecomment-1709284744
|
||||||
|
print_verbose(
|
||||||
|
f"VERTEX AI: vertex_project={vertex_project}; vertex_location={vertex_location}"
|
||||||
|
)
|
||||||
creds, _ = google.auth.default(quota_project_id=vertex_project)
|
creds, _ = google.auth.default(quota_project_id=vertex_project)
|
||||||
|
print_verbose(f"VERTEX AI: creds={creds}")
|
||||||
vertexai.init(
|
vertexai.init(
|
||||||
project=vertex_project, location=vertex_location, credentials=creds
|
project=vertex_project, location=vertex_location, credentials=creds
|
||||||
)
|
)
|
||||||
|
|
|
||||||
|
|
@ -687,6 +687,15 @@
|
||||||
"litellm_provider": "vertex_ai-language-models",
|
"litellm_provider": "vertex_ai-language-models",
|
||||||
"mode": "chat"
|
"mode": "chat"
|
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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:null
|
||||||
|
|
|
||||||
File diff suppressed because one or more lines are too long
|
|
@ -1,7 +0,0 @@
|
||||||
2:I[77831,[],""]
|
|
||||||
3:I[61926,["276","static/chunks/276-bbcb15977f3ab5d5.js","599","static/chunks/app/team/page-135ed79679519d1b.js"],""]
|
|
||||||
4:I[5613,[],""]
|
|
||||||
5:I[31778,[],""]
|
|
||||||
0:["mdngdiVrK0e6UI2oEPOHn",[[["",{"children":["team",{"children":["__PAGE__",{}]}]},"$undefined","$undefined",true],["",{"children":["team",{"children":["__PAGE__",{},["$L1",["$","$L2",null,{"propsForComponent":{"params":{}},"Component":"$3","isStaticGeneration":true}],null]]},["$","$L4",null,{"parallelRouterKey":"children","segmentPath":["children","team","children"],"loading":"$undefined","loadingStyles":"$undefined","loadingScripts":"$undefined","hasLoading":false,"error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","notFoundStyles":"$undefined","styles":null}]]},[null,["$","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]],[[["$","link","0",{"rel":"stylesheet","href":"/ui/_next/static/css/6920a121699cde9c.css","precedence":"next","crossOrigin":""}]],"$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
|
|
||||||
|
|
@ -477,6 +477,7 @@ class UserAPIKeyAuth(
|
||||||
"""
|
"""
|
||||||
|
|
||||||
api_key: Optional[str] = None
|
api_key: Optional[str] = None
|
||||||
|
user_role: Optional[Literal["proxy_admin", "app_owner", "app_user"]] = None
|
||||||
|
|
||||||
@root_validator(pre=True)
|
@root_validator(pre=True)
|
||||||
def check_api_key(cls, values):
|
def check_api_key(cls, values):
|
||||||
|
|
|
||||||
|
|
@ -332,8 +332,7 @@ async def user_api_key_auth(
|
||||||
# note: never string compare api keys, this is vulenerable to a time attack. Use secrets.compare_digest instead
|
# 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)
|
is_master_key_valid = secrets.compare_digest(api_key, master_key)
|
||||||
if is_master_key_valid:
|
if is_master_key_valid:
|
||||||
return UserAPIKeyAuth(api_key=master_key)
|
return UserAPIKeyAuth(api_key=master_key, user_role="proxy_admin")
|
||||||
|
|
||||||
if isinstance(
|
if isinstance(
|
||||||
api_key, str
|
api_key, str
|
||||||
): # if generated token, make sure it starts with sk-.
|
): # if generated token, make sure it starts with sk-.
|
||||||
|
|
@ -794,7 +793,9 @@ async def user_api_key_auth(
|
||||||
pass
|
pass
|
||||||
else:
|
else:
|
||||||
if _is_user_proxy_admin(user_id_information):
|
if _is_user_proxy_admin(user_id_information):
|
||||||
pass
|
return UserAPIKeyAuth(
|
||||||
|
api_key=api_key, user_role="proxy_admin", **valid_token_dict
|
||||||
|
)
|
||||||
else:
|
else:
|
||||||
raise Exception(
|
raise Exception(
|
||||||
f"This key is made for LiteLLM UI, Tried to access route: {route}. Not allowed"
|
f"This key is made for LiteLLM UI, Tried to access route: {route}. Not allowed"
|
||||||
|
|
@ -2114,9 +2115,9 @@ async def async_data_generator(response, user_api_key_dict):
|
||||||
try:
|
try:
|
||||||
start_time = time.time()
|
start_time = time.time()
|
||||||
async for chunk in response:
|
async for chunk in response:
|
||||||
verbose_proxy_logger.debug(f"returned chunk: {chunk}")
|
chunk = chunk.model_dump_json(exclude_none=True)
|
||||||
try:
|
try:
|
||||||
yield f"data: {json.dumps(chunk.dict())}\n\n"
|
yield f"data: {chunk}\n\n"
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
yield f"data: {str(e)}\n\n"
|
yield f"data: {str(e)}\n\n"
|
||||||
|
|
||||||
|
|
@ -4621,50 +4622,54 @@ async def new_team(
|
||||||
data.team_id = str(uuid.uuid4())
|
data.team_id = str(uuid.uuid4())
|
||||||
|
|
||||||
if (
|
if (
|
||||||
data.tpm_limit is not None
|
user_api_key_dict.user_role is None
|
||||||
and user_api_key_dict.tpm_limit is not None
|
or user_api_key_dict.user_role != "proxy_admin"
|
||||||
and data.tpm_limit > user_api_key_dict.tpm_limit
|
): # don't restrict proxy admin
|
||||||
):
|
if (
|
||||||
raise HTTPException(
|
data.tpm_limit is not None
|
||||||
status_code=400,
|
and user_api_key_dict.tpm_limit is not None
|
||||||
detail={
|
and data.tpm_limit > user_api_key_dict.tpm_limit
|
||||||
"error": f"tpm limit higher than user max. User tpm limit={user_api_key_dict.tpm_limit}"
|
):
|
||||||
},
|
raise HTTPException(
|
||||||
)
|
status_code=400,
|
||||||
|
detail={
|
||||||
|
"error": f"tpm limit higher than user max. User tpm limit={user_api_key_dict.tpm_limit}"
|
||||||
|
},
|
||||||
|
)
|
||||||
|
|
||||||
if (
|
if (
|
||||||
data.rpm_limit is not None
|
data.rpm_limit is not None
|
||||||
and user_api_key_dict.rpm_limit is not None
|
and user_api_key_dict.rpm_limit is not None
|
||||||
and data.rpm_limit > user_api_key_dict.rpm_limit
|
and data.rpm_limit > user_api_key_dict.rpm_limit
|
||||||
):
|
):
|
||||||
raise HTTPException(
|
raise HTTPException(
|
||||||
status_code=400,
|
status_code=400,
|
||||||
detail={
|
detail={
|
||||||
"error": f"rpm limit higher than user max. User rpm limit={user_api_key_dict.rpm_limit}"
|
"error": f"rpm limit higher than user max. User rpm limit={user_api_key_dict.rpm_limit}"
|
||||||
},
|
},
|
||||||
)
|
)
|
||||||
|
|
||||||
if (
|
if (
|
||||||
data.max_budget is not None
|
data.max_budget is not None
|
||||||
and user_api_key_dict.max_budget is not None
|
and user_api_key_dict.max_budget is not None
|
||||||
and data.max_budget > user_api_key_dict.max_budget
|
and data.max_budget > user_api_key_dict.max_budget
|
||||||
):
|
):
|
||||||
raise HTTPException(
|
raise HTTPException(
|
||||||
status_code=400,
|
status_code=400,
|
||||||
detail={
|
detail={
|
||||||
"error": f"max budget higher than user max. User max budget={user_api_key_dict.max_budget}"
|
"error": f"max budget higher than user max. User max budget={user_api_key_dict.max_budget}"
|
||||||
},
|
},
|
||||||
)
|
)
|
||||||
|
|
||||||
if data.models is not None:
|
if data.models is not None:
|
||||||
for m in data.models:
|
for m in data.models:
|
||||||
if m not in user_api_key_dict.models:
|
if m not in user_api_key_dict.models:
|
||||||
raise HTTPException(
|
raise HTTPException(
|
||||||
status_code=400,
|
status_code=400,
|
||||||
detail={
|
detail={
|
||||||
"error": f"Model not in allowed user models. User allowed models={user_api_key_dict.models}"
|
"error": f"Model not in allowed user models. User allowed models={user_api_key_dict.models}"
|
||||||
},
|
},
|
||||||
)
|
)
|
||||||
|
|
||||||
if user_api_key_dict.user_id is not None:
|
if user_api_key_dict.user_id is not None:
|
||||||
creating_user_in_list = False
|
creating_user_in_list = False
|
||||||
|
|
@ -5645,7 +5650,11 @@ async def login(request: Request):
|
||||||
"user_id": "litellm-dashboard",
|
"user_id": "litellm-dashboard",
|
||||||
}
|
}
|
||||||
key = response["token"] # type: ignore
|
key = response["token"] # type: ignore
|
||||||
litellm_dashboard_ui = os.getenv("PROXY_BASE_URL", "") + "/ui/"
|
litellm_dashboard_ui = os.getenv("PROXY_BASE_URL", "")
|
||||||
|
if litellm_dashboard_ui.endswith("/"):
|
||||||
|
litellm_dashboard_ui += "ui/"
|
||||||
|
else:
|
||||||
|
litellm_dashboard_ui += "/ui/"
|
||||||
import jwt
|
import jwt
|
||||||
|
|
||||||
jwt_token = jwt.encode(
|
jwt_token = jwt.encode(
|
||||||
|
|
@ -5654,6 +5663,7 @@ async def login(request: Request):
|
||||||
"key": key,
|
"key": key,
|
||||||
"user_email": user_id,
|
"user_email": user_id,
|
||||||
"user_role": "app_admin", # this is the path without sso - we can assume only admins will use this
|
"user_role": "app_admin", # this is the path without sso - we can assume only admins will use this
|
||||||
|
"login_method": "username_password",
|
||||||
},
|
},
|
||||||
"secret",
|
"secret",
|
||||||
algorithm="HS256",
|
algorithm="HS256",
|
||||||
|
|
@ -5945,6 +5955,7 @@ async def auth_callback(request: Request):
|
||||||
"key": key,
|
"key": key,
|
||||||
"user_email": user_email,
|
"user_email": user_email,
|
||||||
"user_role": user_role,
|
"user_role": user_role,
|
||||||
|
"login_method": "sso",
|
||||||
},
|
},
|
||||||
"secret",
|
"secret",
|
||||||
algorithm="HS256",
|
algorithm="HS256",
|
||||||
|
|
|
||||||
|
|
@ -274,7 +274,7 @@ def test_chat_completion_stream(client):
|
||||||
print("\n\n decode_data", data)
|
print("\n\n decode_data", data)
|
||||||
|
|
||||||
# Access the content of choices[0]['message']['content']
|
# Access the content of choices[0]['message']['content']
|
||||||
content = data["choices"][0]["delta"]["content"] or ""
|
content = data["choices"][0]["delta"].get("content", None) or ""
|
||||||
|
|
||||||
# Process the content as needed
|
# Process the content as needed
|
||||||
print("Content:", content)
|
print("Content:", content)
|
||||||
|
|
|
||||||
|
|
@ -205,18 +205,18 @@ def map_finish_reason(
|
||||||
|
|
||||||
class FunctionCall(OpenAIObject):
|
class FunctionCall(OpenAIObject):
|
||||||
arguments: str
|
arguments: str
|
||||||
name: str
|
name: Optional[str] = None
|
||||||
|
|
||||||
|
|
||||||
class Function(OpenAIObject):
|
class Function(OpenAIObject):
|
||||||
arguments: str
|
arguments: str
|
||||||
name: str
|
name: Optional[str] = None
|
||||||
|
|
||||||
|
|
||||||
class ChatCompletionDeltaToolCall(OpenAIObject):
|
class ChatCompletionDeltaToolCall(OpenAIObject):
|
||||||
id: str
|
id: Optional[str] = None
|
||||||
function: Function
|
function: Function
|
||||||
type: str
|
type: Optional[str] = None
|
||||||
index: int
|
index: int
|
||||||
|
|
||||||
|
|
||||||
|
|
@ -275,13 +275,19 @@ class Delta(OpenAIObject):
|
||||||
super(Delta, self).__init__(**params)
|
super(Delta, self).__init__(**params)
|
||||||
self.content = content
|
self.content = content
|
||||||
self.role = role
|
self.role = role
|
||||||
self.function_call = function_call
|
if function_call is not None and isinstance(function_call, dict):
|
||||||
if tool_calls is not None and isinstance(tool_calls, dict):
|
self.function_call = FunctionCall(**function_call)
|
||||||
|
else:
|
||||||
|
self.function_call = function_call
|
||||||
|
if tool_calls is not None and isinstance(tool_calls, list):
|
||||||
self.tool_calls = []
|
self.tool_calls = []
|
||||||
for tool_call in tool_calls:
|
for tool_call in tool_calls:
|
||||||
if tool_call.get("index", None) is None:
|
if isinstance(tool_call, dict):
|
||||||
tool_call["index"] = 0
|
if tool_call.get("index", None) is None:
|
||||||
self.tool_calls.append(ChatCompletionDeltaToolCall(**tool_call))
|
tool_call["index"] = 0
|
||||||
|
self.tool_calls.append(ChatCompletionDeltaToolCall(**tool_call))
|
||||||
|
elif isinstance(tool_call, ChatCompletionDeltaToolCall):
|
||||||
|
self.tool_calls.append(tool_call)
|
||||||
else:
|
else:
|
||||||
self.tool_calls = tool_calls
|
self.tool_calls = tool_calls
|
||||||
|
|
||||||
|
|
@ -4351,6 +4357,7 @@ def get_optional_params(
|
||||||
or model in litellm.vertex_code_text_models
|
or model in litellm.vertex_code_text_models
|
||||||
or model in litellm.vertex_language_models
|
or model in litellm.vertex_language_models
|
||||||
or model in litellm.vertex_embedding_models
|
or model in litellm.vertex_embedding_models
|
||||||
|
or model in litellm.vertex_vision_models
|
||||||
):
|
):
|
||||||
print_verbose(f"(start) INSIDE THE VERTEX AI OPTIONAL PARAM BLOCK")
|
print_verbose(f"(start) INSIDE THE VERTEX AI OPTIONAL PARAM BLOCK")
|
||||||
## check if unsupported param passed in
|
## check if unsupported param passed in
|
||||||
|
|
@ -8727,7 +8734,7 @@ class CustomStreamWrapper:
|
||||||
or original_chunk.choices[0].delta.tool_calls is not None
|
or original_chunk.choices[0].delta.tool_calls is not None
|
||||||
):
|
):
|
||||||
try:
|
try:
|
||||||
delta = dict(original_chunk.choices[0].delta)
|
delta = original_chunk.choices[0].delta
|
||||||
model_response.system_fingerprint = (
|
model_response.system_fingerprint = (
|
||||||
original_chunk.system_fingerprint
|
original_chunk.system_fingerprint
|
||||||
)
|
)
|
||||||
|
|
@ -8762,7 +8769,9 @@ class CustomStreamWrapper:
|
||||||
is None
|
is None
|
||||||
):
|
):
|
||||||
t.function.arguments = ""
|
t.function.arguments = ""
|
||||||
model_response.choices[0].delta = Delta(**delta)
|
_json_delta = delta.model_dump()
|
||||||
|
print_verbose(f"_json_delta: {_json_delta}")
|
||||||
|
model_response.choices[0].delta = Delta(**_json_delta)
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
traceback.print_exc()
|
traceback.print_exc()
|
||||||
model_response.choices[0].delta = Delta()
|
model_response.choices[0].delta = Delta()
|
||||||
|
|
|
||||||
|
|
@ -687,6 +687,15 @@
|
||||||
"litellm_provider": "vertex_ai-language-models",
|
"litellm_provider": "vertex_ai-language-models",
|
||||||
"mode": "chat"
|
"mode": "chat"
|
||||||
},
|
},
|
||||||
|
"gemini-1.5-pro-preview-0215": {
|
||||||
|
"max_tokens": 8192,
|
||||||
|
"max_input_tokens": 1000000,
|
||||||
|
"max_output_tokens": 8192,
|
||||||
|
"input_cost_per_token": 0,
|
||||||
|
"output_cost_per_token": 0,
|
||||||
|
"litellm_provider": "vertex_ai-language-models",
|
||||||
|
"mode": "chat"
|
||||||
|
},
|
||||||
"gemini-pro-vision": {
|
"gemini-pro-vision": {
|
||||||
"max_tokens": 16384,
|
"max_tokens": 16384,
|
||||||
"max_output_tokens": 2048,
|
"max_output_tokens": 2048,
|
||||||
|
|
@ -706,6 +715,17 @@
|
||||||
"litellm_provider": "vertex_ai-vision-models",
|
"litellm_provider": "vertex_ai-vision-models",
|
||||||
"mode": "chat"
|
"mode": "chat"
|
||||||
},
|
},
|
||||||
|
"gemini-1.0-pro-vision-001": {
|
||||||
|
"max_tokens": 16384,
|
||||||
|
"max_output_tokens": 2048,
|
||||||
|
"max_images_per_prompt": 16,
|
||||||
|
"max_videos_per_prompt": 1,
|
||||||
|
"max_video_length": 2,
|
||||||
|
"input_cost_per_token": 0.00000025,
|
||||||
|
"output_cost_per_token": 0.0000005,
|
||||||
|
"litellm_provider": "vertex_ai-vision-models",
|
||||||
|
"mode": "chat"
|
||||||
|
},
|
||||||
"gemini-1.5-pro-vision": {
|
"gemini-1.5-pro-vision": {
|
||||||
"max_tokens": 8192,
|
"max_tokens": 8192,
|
||||||
"max_input_tokens": 1000000,
|
"max_input_tokens": 1000000,
|
||||||
|
|
|
||||||
|
|
@ -1,6 +1,6 @@
|
||||||
[tool.poetry]
|
[tool.poetry]
|
||||||
name = "litellm"
|
name = "litellm"
|
||||||
version = "1.27.10"
|
version = "1.27.12"
|
||||||
description = "Library to easily interface with LLM API providers"
|
description = "Library to easily interface with LLM API providers"
|
||||||
authors = ["BerriAI"]
|
authors = ["BerriAI"]
|
||||||
license = "MIT"
|
license = "MIT"
|
||||||
|
|
@ -74,7 +74,7 @@ requires = ["poetry-core", "wheel"]
|
||||||
build-backend = "poetry.core.masonry.api"
|
build-backend = "poetry.core.masonry.api"
|
||||||
|
|
||||||
[tool.commitizen]
|
[tool.commitizen]
|
||||||
version = "1.27.10"
|
version = "1.27.12"
|
||||||
version_files = [
|
version_files = [
|
||||||
"pyproject.toml:^version"
|
"pyproject.toml:^version"
|
||||||
]
|
]
|
||||||
|
|
|
||||||
File diff suppressed because one or more lines are too long
|
|
@ -1 +1 @@
|
||||||
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|
||||||
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|
@ -1,7 +1,7 @@
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2:I[77831,[],""]
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2:I[77831,[],""]
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3:I[49311,["276","static/chunks/276-bbcb15977f3ab5d5.js","871","static/chunks/871-9ad3ad9bfb989057.js","931","static/chunks/app/page-b8f81f09d0584ba0.js"],""]
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4:I[5613,[],""]
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4:I[5613,[],""]
|
||||||
5:I[31778,[],""]
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5:I[31778,[],""]
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0:["eSwVwl_InIrhYtCAqDMKF",[[["",{"children":["__PAGE__",{}]},"$undefined","$undefined",true],["",{"children":["__PAGE__",{},["$L1",["$","$L2",null,{"propsForComponent":{"params":{}},"Component":"$3","isStaticGeneration":true}],null]]},[null,["$","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]],[[["$","link","0",{"rel":"stylesheet","href":"/ui/_next/static/css/6920a121699cde9c.css","precedence":"next","crossOrigin":""}]],"$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"}]]
|
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:null
|
||||||
|
|
|
||||||
|
|
@ -15,6 +15,7 @@ const CreateKeyPage = () => {
|
||||||
const [userRole, setUserRole] = useState("");
|
const [userRole, setUserRole] = useState("");
|
||||||
const [userEmail, setUserEmail] = useState<null | string>(null);
|
const [userEmail, setUserEmail] = useState<null | string>(null);
|
||||||
const [teams, setTeams] = useState<null | any[]>(null);
|
const [teams, setTeams] = useState<null | any[]>(null);
|
||||||
|
const [showSSOBanner, setShowSSOBanner] = useState<boolean>(true);
|
||||||
const searchParams = useSearchParams();
|
const searchParams = useSearchParams();
|
||||||
|
|
||||||
const userID = searchParams.get("userID");
|
const userID = searchParams.get("userID");
|
||||||
|
|
@ -48,6 +49,14 @@ const CreateKeyPage = () => {
|
||||||
} else {
|
} else {
|
||||||
console.log(`User Email is not set ${decoded}`);
|
console.log(`User Email is not set ${decoded}`);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
if (decoded.login_method) {
|
||||||
|
setShowSSOBanner(
|
||||||
|
decoded.login_method == "username_password" ? true : false
|
||||||
|
);
|
||||||
|
} else {
|
||||||
|
console.log(`User Email is not set ${decoded}`);
|
||||||
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}, [token]);
|
}, [token]);
|
||||||
|
|
@ -74,7 +83,12 @@ const CreateKeyPage = () => {
|
||||||
return (
|
return (
|
||||||
<Suspense fallback={<div>Loading...</div>}>
|
<Suspense fallback={<div>Loading...</div>}>
|
||||||
<div className="flex flex-col min-h-screen">
|
<div className="flex flex-col min-h-screen">
|
||||||
<Navbar userID={userID} userRole={userRole} userEmail={userEmail} />
|
<Navbar
|
||||||
|
userID={userID}
|
||||||
|
userRole={userRole}
|
||||||
|
userEmail={userEmail}
|
||||||
|
showSSOBanner={showSSOBanner}
|
||||||
|
/>
|
||||||
<div className="flex flex-1 overflow-auto">
|
<div className="flex flex-1 overflow-auto">
|
||||||
<Sidebar
|
<Sidebar
|
||||||
setPage={setPage}
|
setPage={setPage}
|
||||||
|
|
|
||||||
|
|
@ -1,149 +0,0 @@
|
||||||
"use client";
|
|
||||||
import React, { Suspense, useEffect, useState } from "react";
|
|
||||||
import { useSearchParams } from "next/navigation";
|
|
||||||
import Navbar from "../../components/navbar";
|
|
||||||
import Sidebar from "../../components/leftnav";
|
|
||||||
import { jwtDecode } from "jwt-decode";
|
|
||||||
import Link from "next/link";
|
|
||||||
import {
|
|
||||||
Table,
|
|
||||||
TableBody,
|
|
||||||
TableCell,
|
|
||||||
TableHead,
|
|
||||||
TableHeaderCell,
|
|
||||||
TableRow,
|
|
||||||
Card,
|
|
||||||
Icon,
|
|
||||||
Button,
|
|
||||||
Col,
|
|
||||||
Grid,
|
|
||||||
} from "@tremor/react";
|
|
||||||
import { CogIcon } from "@heroicons/react/outline";
|
|
||||||
|
|
||||||
const TeamSettingsPage = () => {
|
|
||||||
const [userRole, setUserRole] = useState("");
|
|
||||||
const [userEmail, setUserEmail] = useState<null | string>(null);
|
|
||||||
const [teams, setTeams] = useState<null | string[]>(null);
|
|
||||||
const searchParams = useSearchParams();
|
|
||||||
|
|
||||||
const userID = searchParams.get("userID");
|
|
||||||
const token = searchParams.get("token");
|
|
||||||
|
|
||||||
const [page, setPage] = useState("team");
|
|
||||||
const [accessToken, setAccessToken] = useState<string | null>(null);
|
|
||||||
|
|
||||||
useEffect(() => {
|
|
||||||
if (token) {
|
|
||||||
const decoded = jwtDecode(token) as { [key: string]: any };
|
|
||||||
if (decoded) {
|
|
||||||
// cast decoded to dictionary
|
|
||||||
console.log("Decoded token:", decoded);
|
|
||||||
|
|
||||||
console.log("Decoded key:", decoded.key);
|
|
||||||
// set accessToken
|
|
||||||
setAccessToken(decoded.key);
|
|
||||||
|
|
||||||
// check if userRole is defined
|
|
||||||
if (decoded.user_role) {
|
|
||||||
const formattedUserRole = formatUserRole(decoded.user_role);
|
|
||||||
console.log("Decoded user_role:", formattedUserRole);
|
|
||||||
setUserRole(formattedUserRole);
|
|
||||||
} else {
|
|
||||||
console.log("User role not defined");
|
|
||||||
}
|
|
||||||
|
|
||||||
if (decoded.user_email) {
|
|
||||||
setUserEmail(decoded.user_email);
|
|
||||||
} else {
|
|
||||||
console.log(`User Email is not set ${decoded}`);
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}
|
|
||||||
}, [token]);
|
|
||||||
|
|
||||||
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 "app_admin":
|
|
||||||
return "Admin";
|
|
||||||
case "app_user":
|
|
||||||
return "App User";
|
|
||||||
default:
|
|
||||||
return "Unknown Role";
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
return (
|
|
||||||
<Suspense fallback={<div>Loading...</div>}>
|
|
||||||
<div className="flex flex-col min-h-screen">
|
|
||||||
<Navbar userID={userID} userRole={userRole} userEmail={userEmail} />
|
|
||||||
<div className="flex flex-1 overflow-auto">
|
|
||||||
<Grid numItems={1} className="gap-0 p-10 h-[75vh] w-full">
|
|
||||||
<Col numColSpan={1}>
|
|
||||||
<Card className="w-full mx-auto flex-auto overflow-y-auto max-h-[50vh]">
|
|
||||||
<Table>
|
|
||||||
<TableHead>
|
|
||||||
<TableRow>
|
|
||||||
<TableHeaderCell>Team Name</TableHeaderCell>
|
|
||||||
<TableHeaderCell>Spend (USD)</TableHeaderCell>
|
|
||||||
<TableHeaderCell>Budget (USD)</TableHeaderCell>
|
|
||||||
<TableHeaderCell>TPM / RPM Limits</TableHeaderCell>
|
|
||||||
<TableHeaderCell>Settings</TableHeaderCell>
|
|
||||||
</TableRow>
|
|
||||||
</TableHead>
|
|
||||||
|
|
||||||
<TableBody>
|
|
||||||
<TableRow>
|
|
||||||
<TableCell>Wilhelm Tell</TableCell>
|
|
||||||
<TableCell className="text-right">1</TableCell>
|
|
||||||
<TableCell>Uri, Schwyz, Unterwalden</TableCell>
|
|
||||||
<TableCell>National Hero</TableCell>
|
|
||||||
<TableCell>
|
|
||||||
<Icon icon={CogIcon} size="sm" />
|
|
||||||
</TableCell>
|
|
||||||
</TableRow>
|
|
||||||
<TableRow>
|
|
||||||
<TableCell>The Witcher</TableCell>
|
|
||||||
<TableCell className="text-right">129</TableCell>
|
|
||||||
<TableCell>Kaedwen</TableCell>
|
|
||||||
<TableCell>Legend</TableCell>
|
|
||||||
<TableCell>
|
|
||||||
<Icon icon={CogIcon} size="sm" />
|
|
||||||
</TableCell>
|
|
||||||
</TableRow>
|
|
||||||
<TableRow>
|
|
||||||
<TableCell>Mizutsune</TableCell>
|
|
||||||
<TableCell className="text-right">82</TableCell>
|
|
||||||
<TableCell>Japan</TableCell>
|
|
||||||
<TableCell>N/A</TableCell>
|
|
||||||
<TableCell>
|
|
||||||
<Icon icon={CogIcon} size="sm" />
|
|
||||||
</TableCell>
|
|
||||||
</TableRow>
|
|
||||||
</TableBody>
|
|
||||||
</Table>
|
|
||||||
</Card>
|
|
||||||
</Col>
|
|
||||||
<Col numColSpan={1}>
|
|
||||||
<Link
|
|
||||||
href={`/team?userID=${searchParams.get(
|
|
||||||
"userID"
|
|
||||||
)}&token=${searchParams.get("token")}`}
|
|
||||||
>
|
|
||||||
<Button className="mx-auto">+ Create New Team</Button>
|
|
||||||
</Link>
|
|
||||||
</Col>
|
|
||||||
</Grid>
|
|
||||||
</div>
|
|
||||||
</div>
|
|
||||||
</Suspense>
|
|
||||||
);
|
|
||||||
};
|
|
||||||
export default TeamSettingsPage;
|
|
||||||
|
|
@ -20,8 +20,14 @@ interface NavbarProps {
|
||||||
userID: string | null;
|
userID: string | null;
|
||||||
userRole: string | null;
|
userRole: string | null;
|
||||||
userEmail: string | null;
|
userEmail: string | null;
|
||||||
|
showSSOBanner: boolean;
|
||||||
}
|
}
|
||||||
const Navbar: React.FC<NavbarProps> = ({ userID, userRole, userEmail }) => {
|
const Navbar: React.FC<NavbarProps> = ({
|
||||||
|
userID,
|
||||||
|
userRole,
|
||||||
|
userEmail,
|
||||||
|
showSSOBanner,
|
||||||
|
}) => {
|
||||||
console.log("User ID:", userID);
|
console.log("User ID:", userID);
|
||||||
console.log("userEmail:", userEmail);
|
console.log("userEmail:", userEmail);
|
||||||
|
|
||||||
|
|
@ -46,8 +52,20 @@ const Navbar: React.FC<NavbarProps> = ({ userID, userRole, userEmail }) => {
|
||||||
</Link>
|
</Link>
|
||||||
</div>
|
</div>
|
||||||
</div>
|
</div>
|
||||||
<div className="text-right mx-4 my-2 absolute top-0 right-0">
|
<div className="text-right mx-4 my-2 absolute top-0 right-0 flex items-center justify-end space-x-2">
|
||||||
<Button variant="secondary">
|
{showSSOBanner ? (
|
||||||
|
<a
|
||||||
|
href="https://docs.litellm.ai/docs/proxy/ui#setup-ssoauth-for-ui"
|
||||||
|
target="_blank"
|
||||||
|
className="mr-2"
|
||||||
|
>
|
||||||
|
<Button variant="primary" size="lg">
|
||||||
|
Enable SSO
|
||||||
|
</Button>
|
||||||
|
</a>
|
||||||
|
) : null}
|
||||||
|
|
||||||
|
<Button variant="secondary" size="lg">
|
||||||
{userEmail}
|
{userEmail}
|
||||||
<p>Role: {userRole}</p>
|
<p>Role: {userRole}</p>
|
||||||
<p>ID: {userID}</p>
|
<p>ID: {userID}</p>
|
||||||
|
|
|
||||||
|
|
@ -95,7 +95,7 @@ const Team: React.FC<TeamProps> = ({
|
||||||
const user_role: Member = {
|
const user_role: Member = {
|
||||||
role: "user",
|
role: "user",
|
||||||
user_email: formValues.user_email,
|
user_email: formValues.user_email,
|
||||||
user_id: null,
|
user_id: formValues.user_id,
|
||||||
};
|
};
|
||||||
const response: any = await teamMemberAddCall(
|
const response: any = await teamMemberAddCall(
|
||||||
accessToken,
|
accessToken,
|
||||||
|
|
@ -313,8 +313,18 @@ const Team: React.FC<TeamProps> = ({
|
||||||
labelAlign="left"
|
labelAlign="left"
|
||||||
>
|
>
|
||||||
<>
|
<>
|
||||||
<Form.Item label="Email" name="user_email">
|
<Form.Item label="Email" name="user_email" className="mb-4">
|
||||||
<Input />
|
<Input
|
||||||
|
name="user_email"
|
||||||
|
className="px-3 py-2 border rounded-md w-full"
|
||||||
|
/>
|
||||||
|
</Form.Item>
|
||||||
|
<div className="text-center mb-4">OR</div>
|
||||||
|
<Form.Item label="User ID" name="user_id" className="mb-4">
|
||||||
|
<Input
|
||||||
|
name="user_id"
|
||||||
|
className="px-3 py-2 border rounded-md w-full"
|
||||||
|
/>
|
||||||
</Form.Item>
|
</Form.Item>
|
||||||
</>
|
</>
|
||||||
<div style={{ textAlign: "right", marginTop: "10px" }}>
|
<div style={{ textAlign: "right", marginTop: "10px" }}>
|
||||||
|
|
|
||||||
|
|
@ -6,9 +6,6 @@ import CreateKey from "./create_key_button";
|
||||||
import ViewKeyTable from "./view_key_table";
|
import ViewKeyTable from "./view_key_table";
|
||||||
import ViewUserSpend from "./view_user_spend";
|
import ViewUserSpend from "./view_user_spend";
|
||||||
import DashboardTeam from "./dashboard_default_team";
|
import DashboardTeam from "./dashboard_default_team";
|
||||||
import EnterProxyUrl from "./enter_proxy_url";
|
|
||||||
import { message } from "antd";
|
|
||||||
import Navbar from "./navbar";
|
|
||||||
import { useSearchParams, useRouter } from "next/navigation";
|
import { useSearchParams, useRouter } from "next/navigation";
|
||||||
import { jwtDecode } from "jwt-decode";
|
import { jwtDecode } from "jwt-decode";
|
||||||
|
|
||||||
|
|
@ -83,6 +80,7 @@ const UserDashboard: React.FC<UserDashboardProps> = ({
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
// console.log(`selectedTeam: ${Object.entries(selectedTeam)}`);
|
||||||
// Moved useEffect inside the component and used a condition to run fetch only if the params are available
|
// Moved useEffect inside the component and used a condition to run fetch only if the params are available
|
||||||
useEffect(() => {
|
useEffect(() => {
|
||||||
if (token) {
|
if (token) {
|
||||||
|
|
@ -127,6 +125,7 @@ const UserDashboard: React.FC<UserDashboardProps> = ({
|
||||||
setUserSpendData(response["user_info"]);
|
setUserSpendData(response["user_info"]);
|
||||||
setData(response["keys"]); // Assuming this is the correct path to your data
|
setData(response["keys"]); // Assuming this is the correct path to your data
|
||||||
setTeams(response["teams"]);
|
setTeams(response["teams"]);
|
||||||
|
setSelectedTeam(response["teams"] ? response["teams"][0] : null);
|
||||||
sessionStorage.setItem(
|
sessionStorage.setItem(
|
||||||
"userData" + userID,
|
"userData" + userID,
|
||||||
JSON.stringify(response["keys"])
|
JSON.stringify(response["keys"])
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue