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feat(fireworks): Enable model listing support in FireworksProvider #324

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Merged
njbrake merged 1 commit into from
Aug 20, 2025
Merged

feat(fireworks): Enable model listing support in FireworksProvider #324

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20 changes: 16 additions & 4 deletions src/any_llm/providers/fireworks/fireworks.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
from collections.abc import AsyncGenerator, AsyncIterator, Iterator
from collections.abc import AsyncGenerator, AsyncIterator, Iterator, Sequence
from typing import Any, cast

try:
Expand All @@ -22,20 +22,22 @@
CompletionUsage,
Reasoning,
)
from any_llm.types.model import Model
from any_llm.types.responses import Response, ResponseStreamEvent


class FireworksProvider(Provider):
PROVIDER_NAME = "fireworks"
ENV_API_KEY_NAME = "FIREWORKS_API_KEY"
PROVIDER_DOCUMENTATION_URL = "https://fireworks.ai/api"
BASE_URL = "https://api.fireworks.ai/inference/v1"

SUPPORTS_COMPLETION_STREAMING = True
SUPPORTS_COMPLETION = True
SUPPORTS_RESPONSES = True
SUPPORTS_COMPLETION_REASONING = False
SUPPORTS_EMBEDDING = False
SUPPORTS_LIST_MODELS = False
SUPPORTS_LIST_MODELS = True

PACKAGES_INSTALLED = PACKAGES_INSTALLED

Expand Down Expand Up @@ -194,7 +196,7 @@ async def aresponses(
) -> Response | AsyncIterator[ResponseStreamEvent]:
"""Call Fireworks Responses API and normalize into ChatCompletion/Chunks."""
client = AsyncOpenAI(
base_url="https://api.fireworks.ai/inference/v1",
base_url=self.BASE_URL,
api_key=self.config.api_key,
)
response = await client.responses.create(
Expand All @@ -218,7 +220,7 @@ async def aresponses(
def responses(self, model: str, input_data: Any, **kwargs: Any) -> Response | Iterator[ResponseStreamEvent]:
"""Call Fireworks Responses API and normalize into ChatCompletion/Chunks."""
client = OpenAI(
base_url="https://api.fireworks.ai/inference/v1",
base_url=self.BASE_URL,
api_key=self.config.api_key,
)
response = client.responses.create(
Expand All @@ -238,3 +240,13 @@ def responses(self, model: str, input_data: Any, **kwargs: Any) -> Response | It
response.reasoning = Reasoning(content=reasoning) if reasoning else None # type: ignore[assignment]

return response

def list_models(self, **kwargs: Any) -> Sequence[Model]:
"""
Fetch available models from the /v1/models endpoint.
"""
client = OpenAI(
base_url=self.BASE_URL,
api_key=self.config.api_key,
)
return client.models.list(**kwargs).data