---
title: "/assistants"
description: "import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';"
type: skill
canonical_url: https://claudary.paisolsolutions.com/skills/assistants
source: "Claudary"
difficulty: intermediate
author: "Claude Code Knowledge Pack"
date: 2026-07-10T11:08:00.169Z
license: CC-BY-4.0
attribution: "/assistants — Claudary (https://claudary.paisolsolutions.com/skills/assistants)"
---

# /assistants
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

## Overview

import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

# /assistants

:::warning Deprecation Notice

OpenAI has deprecated the Assistants API. It will shut down on **August 26, 2026**.

Consider migrating to the [Responses API](/docs/response_api) instead. See [OpenAI's migration guide](https://platform.openai.com/docs/guides/responses-vs-assistants) for details.

:::

Covers Threads, Messages, Assistants. 

LiteLLM currently covers: 
- Create Assistants 
- Delete Assistants
- Get Assistants
- Create Thread
- Get Thread
- Add Messages
- Get Messages
- Run Thread


## **Supported Providers**:
- [OpenAI](#quick-start)
- [Azure OpenAI](#azure-openai)
- [OpenAI-Compatible APIs](#openai-compatible-apis)

## Quick Start 

Call an existing Assistant. 

- Get the Assistant 

- Create a Thread when a user starts a conversation.

- Add Messages to the Thread as the user asks questions.

- Run the Assistant on the Thread to generate a response by calling the model and the tools.

### SDK + PROXY
<Tabs>
<TabItem value="sdk" label="SDK">

**Create an Assistant**


```python
import litellm
import os 

# setup env
os.environ["OPENAI_API_KEY"] = "sk-.."

assistant = litellm.create_assistants(
            custom_llm_provider="openai",
            model="gpt-4-turbo",
            instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
            name="Math Tutor",
            tools=[{"type": "code_interpreter"}],
)

### ASYNC USAGE ### 
# assistant = await litellm.acreate_assistants(
#             custom_llm_provider="openai",
#             model="gpt-4-turbo",
#             instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
#             name="Math Tutor",
#             tools=[{"type": "code_interpreter"}],
# )
```

**Get the Assistant**

```python
from litellm import get_assistants, aget_assistants
import os 

# setup env
os.environ["OPENAI_API_KEY"] = "sk-.."

assistants = get_assistants(custom_llm_provider="openai")

### ASYNC USAGE ### 
# assistants = await aget_assistants(custom_llm_provider="openai")
```

**Create a Thread**

```python
from litellm import create_thread, acreate_thread
import os 

os.environ["OPENAI_API_KEY"] = "sk-.."

new_thread = create_thread(
            custom_llm_provider="openai",
            messages=[{"role": "user", "content": "Hey, how's it going?"}],  # type: ignore
        )

### ASYNC USAGE ### 
# new_thread = await acreate_thread(custom_llm_provider="openai",messages=[{"role": "user", "content": "Hey, how's it going?"}])
```

**Add Messages to the Thread**

```python
from litellm import create_thread, get_thread, aget_thread, add_message, a_add_message
import os 

os.environ["OPENAI_API_KEY"] = "sk-.."

## CREATE A THREAD
_new_thread = create_thread(
            custom_llm_provider="openai",
            messages=[{"role": "user", "content": "Hey, how's it going?"}],  # type: ignore
        )

## OR retrieve existing thread
received_thread = get_thread(
            custom_llm_provider="openai",
            thread_id=_new_thread.id,
        )

### ASYNC USAGE ### 
# received_thread = await aget_thread(custom_llm_provider="openai", thread_id=_new_thread.id,)

## ADD MESSAGE TO THREAD
message = {"role": "user", "content": "Hey, how's it going?"}
added_message = add_message(
            thread_id=_new_thread.id, custom_llm_provider="openai", **message
        )

### ASYNC USAGE ### 
# added_message = await a_add_message(thread_id=_new_thread.id, custom_llm_provider="openai", **message)
```

**Run the Assistant on the Thread**

```python
from litellm import get_assistants, create_thread, add_message, run_thread, arun_thread
import os 

os.environ["OPENAI_API_KEY"] = "sk-.."
assistants = get_assistants(custom_llm_provider="openai")

## get the first assistant ###
assistant_id = assistants.data[0].id

## GET A THREAD
_new_thread = create_thread(
            custom_llm_provider="openai",
            messages=[{"role": "user", "content": "Hey, how's it going?"}],  # type: ignore
        )

## ADD MESSAGE
message = {"role": "user", "content": "Hey, how's it going?"}
added_message = add_message(
            thread_id=_new_thread.id, custom_llm_provider="openai", **message
        )

## 🚨 RUN THREAD
response = run_thread(
            custom_llm_provider="openai", thread_id=thread_id, assistant_id=assistant_id
        )

### ASYNC USAGE ### 
# response = await arun_thread(custom_llm_provider="openai", thread_id=thread_id, assistant_id=assistant_id)

print(f"run_thread: {run_thread}")
```
</TabItem>
<TabItem value="proxy" label="PROXY">

```yaml
assistant_settings:
  custom_llm_provider: azure
  litellm_params: 
    api_key: os.environ/AZURE_API_KEY
    api_base: os.environ/AZURE_API_BASE
    api_version: os.environ/AZURE_API_VERSION
```

```bash
$ litellm --config /path/to/config.yaml

# RUNNING on http://0.0.0.0:4000
```


**Create the Assistant**

```bash
curl "http://localhost:4000/v1/assistants" \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-1234" \\
  -d '{
    "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
    "name": "Math Tutor",
    "tools": [{"type": "code_interpreter"}],
    "model": "gpt-4-turbo"
  }'
```


**Get the Assistant**

```bash
curl "http://0.0.0.0:4000/v1/assistants?order=desc&limit=20" \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-1234"
```

**Create a Thread**

```bash
curl http://0.0.0.0:4000/v1/threads \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-1234" \\
  -d ''
```

**Get a Thread**

```bash
curl http://0.0.0.0:4000/v1/threads/{thread_id} \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-1234"
```

**Add Messages to the Thread**

```bash
curl http://0.0.0.0:4000/v1/threads/{thread_id}/messages \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-1234" \\
  -d '{
      "role": "user",
      "content": "How does AI work? Explain it in simple terms."
    }'
```

**Run the Assistant on the Thread**

```bash
curl http://0.0.0.0:4000/v1/threads/thread_abc123/runs \\
  -H "Authorization: Bearer sk-1234" \\
  -H "Content-Type: application/json" \\
  -d '{
    "assistant_id": "asst_abc123"
  }'
```

</TabItem>
</Tabs>

## Streaming 

<Tabs>
<TabItem value="sdk" label="SDK">

```python
from litellm import run_thread_stream 
import os

os.environ["OPENAI_API_KEY"] = "sk-.."

message = {"role": "user", "content": "Hey, how's it going?"}  

data = {"custom_llm_provider": "openai", "thread_id": _new_thread.id, "assistant_id": assistant_id, **message}

run = run_thread_stream(**data)
with run as run:
    assert isinstance(run, AssistantEventHandler)
    for chunk in run: 
      print(f"chunk: {chunk}")
    run.until_done()
```

</TabItem>
<TabItem value="proxy" label="PROXY">

```bash
curl -X POST 'http://0.0.0.0:4000/threads/{thread_id}/runs' \\
-H 'Authorization: Bearer sk-1234' \\
-H 'Content-Type: application/json' \\
-d '{
      "assistant_id": "asst_6xVZQFFy1Kw87NbnYeNebxTf",
      "stream": true
}'
```

</TabItem>
</Tabs>

## [👉 Proxy API Reference](https://litellm-api.up.railway.app/#/assistants)


## Azure OpenAI

**config**
```yaml
assistant_settings:
  custom_llm_provider: azure
  litellm_params: 
    api_key: os.environ/AZURE_API_KEY
    api_base: os.environ/AZURE_API_BASE
```

**curl**

```bash
curl -X POST "http://localhost:4000/v1/assistants" \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-1234" \\
  -d '{
    "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
    "name": "Math Tutor",
    "tools": [{"type": "code_interpreter"}],
    "model": "<my-azure-deployment-name>"
  }'
```

## OpenAI-Compatible APIs 

To call openai-compatible Assistants API's (eg. Astra Assistants API), just add `openai/` to the model name: 


**config**
```yaml
assistant_settings:
  custom_llm_provider: openai
  litellm_params: 
    api_key: os.environ/ASTRA_API_KEY
    api_base: os.environ/ASTRA_API_BASE
```

**curl**

```bash
curl -X POST "http://localhost:4000/v1/assistants" \\
  -H "Content-Type: application/json" \\
  -H "Authorization: Bearer sk-1234" \\
  -d '{
    "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
    "name": "Math Tutor",
    "tools": [{"type": "code_interpreter"}],
    "model": "openai/<my-astra-model-name>"
  }'
```

---

Source: [Claudary](https://claudary.paisolsolutions.com/skills/assistants) · https://claudary.paisolsolutions.com