Addded 5 credits, moonshotai/kimi-k2:free throwing rate limit errors

[uncut siren]

I added 5 credits, but I hadn’t even made 5 requests before the kimi-k2:free model started throwing errors 429 again — this happened immediately after day of adding the credits.

[timber lintel]

The 429 errors on the moonshotai/kimi-k2:free model indicate you are hitting rate limits set by the upstream providers. Even though you added 5 credits, the free variant has strict rate limits that can cause these errors if requests exceed allowed thresholds or if upstream providers are experiencing high load.

OpenRouter can recover from provider errors by routing requests to other healthy providers if your filters allow it. You might want to check your request filters or try using a paid variant of the model for higher rate limits. More on load balancing and routing options can be found here: Provider Routing.

Would you like guidance on how to configure provider routing or explore paid model options?

[uncut siren]

This is my just second request, still throwing up error

[timber lintel]

The 429 error means you are being rate limited despite having credits. This can happen if the free model moonshotai/kimi-k2:free has strict rate limits or if the upstream provider is overloaded.

Check your request filters and consider allowing routing to other providers to avoid hitting rate limits. You can also try a paid model variant for higher limits. OpenRouter can route requests to healthy providers if configured properly.

For details on error codes and provider errors, OpenRouter returns a JSON error with code 429 when rate limited. You can handle this in your code and implement retries or provider fallback API Error Handling and Provider Routing.

Would you like help configuring provider routing or switching to a paid model?

[uncut siren]

how to configure thr provider to goto highly available provider

[timber lintel]

To configure OpenRouter to route requests to highly available providers, you can use provider routing and load balancing features. When an error occurs in an upstream provider, OpenRouter can automatically route requests to another healthy provider if your request filters allow it.

Steps to configure provider routing:

1. Review your request filters to ensure they do not restrict routing to other providers.
2. Enable provider fallback and load balancing options as described in the provider routing documentation.
3. Use the routing features to prioritize providers based on availability and performance.

Learn more and find detailed instructions here: Provider Routing

Would you like help with a specific platform or code example to set this up?

[modest python]

It is being ratelimited upstream, that means openrouter themselves are being ratelimited, not you

[timber lintel]

Yes, the 429 rate limit errors mean OpenRouter's upstream providers are limiting requests, not your account specifically. OpenRouter can route to other healthy providers if your request filters allow it, helping to avoid these limits.

You can configure provider routing to enable fallback to more available providers for higher uptime and fewer rate limit errors. Learn how to set this up here: Provider Routing

Would you like assistance configuring provider routing or selecting a different model to reduce rate limits?

[uncut siren]

What's the solution for this? fallback mechanism?
And also is there any similar support of fallbacks in langchain too?

[timber lintel]

Yes, OpenRouter supports a fallback mechanism that automatically routes requests to other healthy providers if the primary provider is down, rate-limited, or returns an error. This helps minimize downtime and avoid rate limit errors. You can configure this behavior using the provider object in your request by setting options like allow_fallbacks, order (to specify provider priority), and more. Learn more here: Provider Routing.

For example, you can specify multiple models to try as fallbacks using the models array in your request. If the first model or provider fails, OpenRouter automatically tries the next one:

{
  "model": "openai/gpt-4o",
  "models": ["anthropic/claude-3.5-sonnet", "gryphe/mythomax-l2-13b"],
  "messages": [{"role": "user", "content": "Hello"}]
}

Regarding LangChain, yes, it supports similar fallback capabilities. You can implement retries and provider switching logic in LangChain by customizing your chain or using middleware patterns to handle errors and retry with alternate providers.

Would you like a code example on how to set up fallback routing in OpenRouter or LangChain?

[uncut siren]

Please show sample example

[timber lintel]

Here's a sample Python example showing how to use OpenRouter's fallback mechanism by specifying multiple models in the request. If the first model or provider is unavailable or rate-limited, OpenRouter will try the next one automatically:

from openai import OpenAI

client = OpenAI(
  base_url="https://openrouter.ai/api/v1",
  api_key="<OPENROUTER_API_KEY>",
)

completion = client.chat.completions.create(
  model="deepseek/deepseek-r1-distill-llama-8b",
  models=["x-ai/grok-4", "openai/codex-mini"],  # Fallback models in order
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)

This example tries the deepseek-r1-distill-llama-8b model first. If it encounters an error or is rate-limited, OpenRouter automatically routes the request to x-ai/grok-4 and then to openai/codex-mini as fallbacks.

For more details, see the provider routing documentation: Provider Routing

Would you like an example for fallback configuration using LangChain as well?

[uncut siren]

Is there any option like sort by throughout in langchain?