From f9c5be8ebfb13b20d671de12f76182ab1714ff15 Mon Sep 17 00:00:00 2001 From: mateo Date: Thu, 30 Jul 2026 01:43:59 +0000 Subject: [PATCH] fix(fireworks_ai): correct Kimi K2.5/K2.6/K2.7 max output token limits Fireworks publishes a 262144-token context window for the Kimi K2.5, K2.6 and K2.7 models but caps generation well below that. Every fireworks_ai Kimi K2.5/K2.6/K2.7 alias had max_output_tokens/max_tokens flattened to 262144 (equal to the context window), so the pre-call context-window check admitted requests asking for a full 262144-token completion that Fireworks rejects. Correct max_output_tokens/max_tokens to 32768 while keeping max_input_tokens at 262144, and add a regression test pinning the limits for all ten aliases. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- ...odel_prices_and_context_window_backup.json | 40 +++++----- model_prices_and_context_window.json | 40 +++++----- .../test_fireworks_ai_kimi_model_metadata.py | 76 +++++++++++++++++++ 3 files changed, 116 insertions(+), 40 deletions(-) create mode 100644 tests/test_litellm/llms/fireworks_ai/test_fireworks_ai_kimi_model_metadata.py diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 87d9b6afc18..5b2a5efc714 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -16703,8 +16703,8 @@ "input_cost_per_token": 6e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 3e-06, "source": "https://fireworks.ai/pricing", @@ -16717,8 +16717,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -16733,8 +16733,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17077,8 +17077,8 @@ "input_cost_per_token": 6e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 3e-06, "source": "https://fireworks.ai/pricing", @@ -17091,8 +17091,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17107,8 +17107,8 @@ "input_cost_per_token": 2e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17123,8 +17123,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17139,8 +17139,8 @@ "input_cost_per_token": 1.9e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -42501,8 +42501,8 @@ "input_cost_per_token": 2e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -42517,8 +42517,8 @@ "input_cost_per_token": 1.9e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 0edd3bd5f30..b375b770aea 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -16703,8 +16703,8 @@ "input_cost_per_token": 6e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 3e-06, "source": "https://fireworks.ai/pricing", @@ -16717,8 +16717,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -16733,8 +16733,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17077,8 +17077,8 @@ "input_cost_per_token": 6e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 3e-06, "source": "https://fireworks.ai/pricing", @@ -17091,8 +17091,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17107,8 +17107,8 @@ "input_cost_per_token": 2e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17123,8 +17123,8 @@ "input_cost_per_token": 9.5e-07, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 4e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -17139,8 +17139,8 @@ "input_cost_per_token": 1.9e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -42622,8 +42622,8 @@ "input_cost_per_token": 2e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", @@ -42638,8 +42638,8 @@ "input_cost_per_token": 1.9e-06, "litellm_provider": "fireworks_ai", "max_input_tokens": 262144, - "max_output_tokens": 262144, - "max_tokens": 262144, + "max_output_tokens": 32768, + "max_tokens": 32768, "mode": "chat", "output_cost_per_token": 8e-06, "source": "https://docs.fireworks.ai/serverless/pricing", diff --git a/tests/test_litellm/llms/fireworks_ai/test_fireworks_ai_kimi_model_metadata.py b/tests/test_litellm/llms/fireworks_ai/test_fireworks_ai_kimi_model_metadata.py new file mode 100644 index 00000000000..5641439aa54 --- /dev/null +++ b/tests/test_litellm/llms/fireworks_ai/test_fireworks_ai_kimi_model_metadata.py @@ -0,0 +1,76 @@ +""" +Regression test for Fireworks Kimi K2.5 / K2.6 / K2.7 context and output limits. + +Fireworks publishes a 262144-token context window for every Kimi K2.5, K2.6 and +K2.7 model, but caps generation well below that. A previous bulk edit had flattened +max_output_tokens/max_tokens to 262144 (equal to the context window), which let the +pre-call context-window check admit requests asking for a full 262144-token +completion that Fireworks then rejects. These assertions pin the corrected per-alias +limits so a future bulk edit can't silently flatten them again. +""" + +import json +from importlib.resources import files + +import pytest + +CONTEXT_WINDOW = 262144 +OUTPUT_LIMIT = 32768 + +KIMI_ALIASES = ( + "fireworks_ai/kimi-k2p5", + "fireworks_ai/kimi-k2p6", + "fireworks_ai/kimi-k2p6-fast", + "fireworks_ai/kimi-k2p7-code", + "fireworks_ai/kimi-k2p7-code-fast", + "fireworks_ai/accounts/fireworks/models/kimi-k2p5", + "fireworks_ai/accounts/fireworks/models/kimi-k2p6", + "fireworks_ai/accounts/fireworks/models/kimi-k2p7-code", + "fireworks_ai/accounts/fireworks/routers/kimi-k2p6-fast", + "fireworks_ai/accounts/fireworks/routers/kimi-k2p7-code-fast", +) + + +@pytest.fixture(scope="module") +def use_local_model_cost_map(): + monkeypatch = pytest.MonkeyPatch() + monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True") + + import litellm + from litellm.utils import _invalidate_model_cost_lowercase_map + + original_model_cost = litellm.model_cost + litellm.model_cost = json.loads( + files("litellm") + .joinpath("model_prices_and_context_window_backup.json") + .read_text(encoding="utf-8") + ) + litellm.get_model_info.cache_clear() + _invalidate_model_cost_lowercase_map() + try: + yield litellm + finally: + litellm.model_cost = original_model_cost + litellm.get_model_info.cache_clear() + _invalidate_model_cost_lowercase_map() + monkeypatch.undo() + + +@pytest.mark.parametrize("alias", KIMI_ALIASES) +def test_fireworks_kimi_raw_cost_entry_limits(use_local_model_cost_map, alias): + entry = use_local_model_cost_map.model_cost[alias] + + assert entry["litellm_provider"] == "fireworks_ai" + assert entry["max_input_tokens"] == CONTEXT_WINDOW + assert entry["max_output_tokens"] == OUTPUT_LIMIT + assert entry["max_tokens"] == OUTPUT_LIMIT + assert entry["max_output_tokens"] < entry["max_input_tokens"] + + +@pytest.mark.parametrize("alias", KIMI_ALIASES) +def test_fireworks_kimi_get_model_info_limits(use_local_model_cost_map, alias): + model_info = use_local_model_cost_map.get_model_info(model=alias) + + assert model_info["max_input_tokens"] == CONTEXT_WINDOW + assert model_info["max_output_tokens"] == OUTPUT_LIMIT + assert model_info["max_tokens"] == OUTPUT_LIMIT