1
from meshapi import MeshAPI, ChatCompletionParams, ChatMessage
2
3
client = MeshAPI(base_url="https://api.meshapi.ai", token="rsk_...")
4
5
reply = client.chat.completions.create(
6
    ChatCompletionParams(
7
        model="openai/gpt-4o-mini",
8
        messages=[
9
            ChatMessage(role="system", content="You are a concise assistant."),
10
            ChatMessage(role="user", content="What is the capital of France?"),
11
        ],
12
        temperature=0.7,
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        max_tokens=256,
14
    )
15
)
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print(reply.choices[0].message.content)
18
print(f"Tokens: {reply.usage.total_tokens}")

1
import asyncio
2
from meshapi import AsyncMeshAPI, ChatCompletionParams, ChatMessage
3
4
async def main():
5
    async with AsyncMeshAPI(base_url="https://api.meshapi.ai", token="rsk_...") as client:
6
        reply = await client.chat.completions.create(
7
            ChatCompletionParams(
8
                model="openai/gpt-4o-mini",
9
                messages=[ChatMessage(role="user", content="Hello!")],
10
            )
11
        )
12
        print(reply.choices[0].message.content)
13
14
asyncio.run(main())

1
for chunk in client.chat.completions.stream(
2
    ChatCompletionParams(
3
        model="openai/gpt-4o-mini",
4
        messages=[ChatMessage(role="user", content="Write a haiku about Python.")],
5
    )
6
):
7
    if chunk.choices and chunk.choices[0].delta:
8
        print(chunk.choices[0].delta.content or "", end="", flush=True)

1
async for chunk in client.chat.completions.stream(params):
2
    if chunk.choices and chunk.choices[0].delta:
3
        print(chunk.choices[0].delta.content or "", end="", flush=True)

1
from meshapi import ChatCompletionParams, ChatMessage, Tool, ToolFunction
2
3
params = ChatCompletionParams(
4
    model="openai/gpt-4o",
5
    messages=[ChatMessage(role="user", content="What is the weather in Paris?")],
6
    tools=[
7
        Tool(
8
            type="function",
9
            function=ToolFunction(
10
                name="get_weather",
11
                description="Get current weather for a city",
12
                parameters={
13
                    "type": "object",
14
                    "properties": {"city": {"type": "string"}},
15
                    "required": ["city"],
16
                },
17
            ),
18
        )
19
    ],
20
    tool_choice="auto",
21
)
22
23
for chunk in client.chat.completions.stream(params):
24
    delta = chunk.choices[0].delta if chunk.choices else None
25
    if delta and delta.tool_calls:
26
        print("tool call:", delta.tool_calls)
27
    elif delta and delta.content:
28
        print(delta.content, end="", flush=True)