mirror of
https://github.com/BerriAI/litellm.git
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feat(providers): add Wally as an OpenAI-compatible provider
This commit is contained in:
Aditya Batra
parent
3eeee3e761
commit
c5eec423b6
9 changed files with 513 additions and 0 deletions
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@ -1029,6 +1029,7 @@ openai_compatible_endpoints: Final[list[str]] = [
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"https://api.scx.ai/v1",
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"https://api.prisminference.com/v1",
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"https://api.reka.ai/v1",
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"https://inference.runanywhere.ai/v1",
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"https://gigachat.devices.sberbank.ru/api/v1",
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"https://api.openinfer.ai/v1",
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]
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@ -1109,6 +1110,7 @@ openai_compatible_providers: Final[list] = [
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"prism",
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"sail",
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"reka",
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"wally",
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]
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OPENAI_AUDIO_TRANSCRIPTION_PROVIDERS: Final = frozenset({"openai"} | frozenset(openai_compatible_providers))
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@ -249,5 +249,10 @@
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"/v1/responses",
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"/v1/messages"
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]
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},
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"wally": {
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"base_url": "https://inference.runanywhere.ai/v1",
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"api_key_env": "WALLY_API_KEY",
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"api_base_env": "WALLY_API_BASE"
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}
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}
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@ -76131,5 +76131,106 @@
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"wally/glm-5.3-flash": {
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"cache_read_input_token_cost": 2e-08,
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"input_cost_per_token": 1e-07,
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"litellm_provider": "wally",
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"max_input_tokens": 1048567,
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"max_output_tokens": 131072,
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"max_tokens": 131072,
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"mode": "chat",
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"output_cost_per_token": 3.5e-07,
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"reasoning_effort_levels": [
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"source": "https://www.runwally.com/pricing",
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"supported_modalities": [
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"text",
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"image"
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],
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"supported_output_modalities": [
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"text"
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],
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"wally/deepseek-v4.1-flash": {
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"cache_read_input_token_cost": 6e-09,
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"input_cost_per_token": 2e-07,
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"litellm_provider": "wally",
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"max_input_tokens": 1048569,
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"max_output_tokens": 262144,
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"max_tokens": 262144,
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"mode": "chat",
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"output_cost_per_token": 6e-07,
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"reasoning_effort_levels": [
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"source": "https://www.runwally.com/pricing",
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"supported_modalities": [
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"text",
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"image"
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],
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"supported_output_modalities": [
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"text"
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],
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"wally/mimo-v2.6-flash": {
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"cache_read_input_token_cost": 2.8e-09,
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"input_cost_per_token": 1.4e-07,
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"litellm_provider": "wally",
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"max_input_tokens": 1048569,
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"max_output_tokens": 131072,
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"max_tokens": 131072,
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"mode": "chat",
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"output_cost_per_token": 2.8e-07,
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"reasoning_effort_levels": [
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"source": "https://www.runwally.com/pricing",
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"supported_modalities": [
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"text"
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],
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"supported_output_modalities": [
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"text"
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],
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true,
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"supports_vision": false
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}
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}
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@ -2154,6 +2154,24 @@
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"interactions": false
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}
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},
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"wally": {
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"display_name": "Wally (`wally`)",
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"url": "https://docs.litellm.ai/docs/providers/wally",
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"endpoints": {
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"chat_completions": true,
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"messages": true,
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"responses": true,
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"embeddings": false,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false,
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"interactions": false
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}
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},
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"scaleway": {
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"display_name": "Scaleway (`scaleway`)",
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"url": "https://docs.litellm.ai/docs/providers/scaleway",
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@ -3287,6 +3287,34 @@
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],
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"default_model_placeholder": "reka/reka-flash"
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},
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{
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"provider": "WALLY",
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"provider_display_name": "Wally",
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"litellm_provider": "wally",
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"credential_fields": [
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{
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"key": "api_base",
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"label": "API Base",
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"placeholder": "https://inference.runanywhere.ai/v1",
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"tooltip": null,
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"required": false,
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"field_type": "text",
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"options": null,
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"default_value": null
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},
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{
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"key": "api_key",
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"label": "API Key",
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"placeholder": null,
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"tooltip": null,
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"required": true,
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"field_type": "password",
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"options": null,
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"default_value": null
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}
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],
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"default_model_placeholder": "wally/glm-5.3-flash"
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},
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{
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"provider": "Sail",
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"provider_display_name": "Sail",
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@ -4402,6 +4402,7 @@ class LlmProviders(str, Enum):
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META = "meta"
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SAIL = "sail"
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REKA = "reka"
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WALLY = "wally"
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LITELLM_AGENT = "litellm_agent"
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CURSOR = "cursor"
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BEDROCK_MANTLE = "bedrock_mantle"
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@ -76131,5 +76131,106 @@
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"supports_response_schema": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"wally/glm-5.3-flash": {
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"cache_read_input_token_cost": 2e-08,
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"input_cost_per_token": 1e-07,
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"litellm_provider": "wally",
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"max_input_tokens": 1048567,
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"max_output_tokens": 131072,
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"max_tokens": 131072,
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"mode": "chat",
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"output_cost_per_token": 3.5e-07,
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"reasoning_effort_levels": [
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"source": "https://www.runwally.com/pricing",
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"supported_modalities": [
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"text",
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"image"
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],
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"supported_output_modalities": [
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"text"
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],
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"wally/deepseek-v4.1-flash": {
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"cache_read_input_token_cost": 6e-09,
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"input_cost_per_token": 2e-07,
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"litellm_provider": "wally",
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"max_input_tokens": 1048569,
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"max_output_tokens": 262144,
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"max_tokens": 262144,
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"mode": "chat",
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"output_cost_per_token": 6e-07,
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"reasoning_effort_levels": [
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"source": "https://www.runwally.com/pricing",
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"supported_modalities": [
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"text",
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"image"
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],
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"supported_output_modalities": [
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"text"
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],
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"wally/mimo-v2.6-flash": {
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"cache_read_input_token_cost": 2.8e-09,
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"input_cost_per_token": 1.4e-07,
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"litellm_provider": "wally",
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"max_input_tokens": 1048569,
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"max_output_tokens": 131072,
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"max_tokens": 131072,
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"mode": "chat",
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"output_cost_per_token": 2.8e-07,
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"reasoning_effort_levels": [
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"none",
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"minimal",
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"low",
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"medium",
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"high",
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"xhigh",
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"max"
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],
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"source": "https://www.runwally.com/pricing",
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"supported_modalities": [
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"text"
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],
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"supported_output_modalities": [
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"text"
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],
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_response_schema": true,
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"supports_system_messages": true,
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"supports_tool_choice": true,
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"supports_vision": false
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}
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}
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@ -3222,6 +3222,24 @@
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"interactions": false
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}
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},
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"wally": {
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"display_name": "Wally (`wally`)",
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"url": "https://docs.litellm.ai/docs/providers/wally",
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"endpoints": {
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"chat_completions": true,
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"messages": true,
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"responses": true,
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"embeddings": false,
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"image_generations": false,
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"audio_transcriptions": false,
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"audio_speech": false,
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"moderations": false,
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"batches": false,
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"rerank": false,
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"a2a": false,
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"interactions": false
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}
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},
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"charity_engine": {
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"display_name": "Charity Engine (`charity_engine`)",
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"url": "https://docs.litellm.ai/docs/providers/charity_engine",
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239
tests/unit/llms/openai_like/test_wally_provider.py
Normal file
239
tests/unit/llms/openai_like/test_wally_provider.py
Normal file
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@ -0,0 +1,239 @@
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import json
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from pathlib import Path
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from typing import Final
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import pytest
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import respx
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import litellm
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from litellm.caching.llm_caching_handler import LLMClientCache
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from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
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_DEFAULT_API_BASE: Final = "https://inference.runanywhere.ai/v1"
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_CHAT_COMPLETIONS_URL: Final = f"{_DEFAULT_API_BASE}/chat/completions"
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_CHAT_COMPLETION: Final = {
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"id": "chatcmpl_wally",
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"object": "chat.completion",
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"created": 1_790_000_000,
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"model": "glm-5.3-flash",
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"choices": [
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{
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"index": 0,
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"message": {"role": "assistant", "content": "Hello from Wally", "reasoning_content": "Say hi"},
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"finish_reason": "stop",
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}
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],
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"usage": {"prompt_tokens": 4, "completion_tokens": 3, "total_tokens": 7},
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}
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_EXPECTED_ENDPOINTS: Final = {
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"chat_completions": True,
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"messages": True,
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"responses": True,
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"embeddings": False,
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"image_generations": False,
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"audio_transcriptions": False,
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"audio_speech": False,
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"moderations": False,
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"batches": False,
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"rerank": False,
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"a2a": False,
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"interactions": False,
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}
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WALLY_MODELS: Final = tuple(sorted(name for name in litellm.model_cost if name.startswith("wally/")))
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def test_wally_is_a_registered_provider():
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assert litellm.LlmProviders.WALLY.value == "wally"
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assert "wally" in litellm.provider_list
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assert "wally" in litellm.constants.openai_compatible_providers
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assert _DEFAULT_API_BASE in litellm.constants.openai_compatible_endpoints
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def test_wally_provider_resolution(monkeypatch: pytest.MonkeyPatch):
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monkeypatch.setenv("WALLY_API_KEY", "wally-test-key")
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monkeypatch.delenv("WALLY_API_BASE", raising=False)
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model, provider, api_key, api_base = get_llm_provider(
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model="wally/glm-5.3-flash",
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custom_llm_provider=None,
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api_base=None,
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api_key=None,
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)
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assert model == "glm-5.3-flash"
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assert provider == "wally"
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assert api_key == "wally-test-key"
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assert api_base == _DEFAULT_API_BASE
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def test_wally_provider_keeps_explicit_credentials(monkeypatch: pytest.MonkeyPatch):
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monkeypatch.setenv("WALLY_API_KEY", "wally-env-key")
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monkeypatch.setenv("WALLY_API_BASE", "https://wally.env.example/v1")
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_, provider, api_key, api_base = get_llm_provider(
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model="wally/glm-5.3-flash",
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custom_llm_provider=None,
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api_base="https://wally.internal.example/v1",
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api_key="wally-explicit-key",
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)
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assert provider == "wally"
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assert api_key == "wally-explicit-key"
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assert api_base == "https://wally.internal.example/v1"
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def test_wally_api_base_env_overrides_default(monkeypatch: pytest.MonkeyPatch):
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monkeypatch.setenv("WALLY_API_KEY", "wally-env-key")
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monkeypatch.setenv("WALLY_API_BASE", "https://wally.env.example/v1")
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_, provider, _, api_base = get_llm_provider(
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model="wally/glm-5.3-flash",
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custom_llm_provider=None,
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api_base=None,
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api_key=None,
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)
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assert provider == "wally"
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assert api_base == "https://wally.env.example/v1"
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def test_wally_api_base_autodetects_provider(monkeypatch: pytest.MonkeyPatch):
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monkeypatch.setenv("WALLY_API_KEY", "wally-env-key")
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model, provider, api_key, api_base = get_llm_provider(
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model="glm-5.3-flash",
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custom_llm_provider=None,
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api_base=_DEFAULT_API_BASE,
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api_key=None,
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)
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assert model == "glm-5.3-flash"
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assert provider == "wally"
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assert api_key == "wally-env-key"
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assert api_base == _DEFAULT_API_BASE
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@pytest.mark.parametrize("model", WALLY_MODELS)
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def test_wally_model_cost_and_capabilities(model: str):
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from litellm.cost_calculator import cost_per_token
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prompt_cost, completion_cost = cost_per_token(
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model=model,
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prompt_tokens=1_000_000,
|
||||
completion_tokens=1_000_000,
|
||||
custom_llm_provider="wally",
|
||||
)
|
||||
model_info: Final = litellm.get_model_info(model)
|
||||
|
||||
assert prompt_cost == pytest.approx(model_info["input_cost_per_token"] * 1_000_000)
|
||||
assert completion_cost == pytest.approx(model_info["output_cost_per_token"] * 1_000_000)
|
||||
assert 0 < model_info["cache_read_input_token_cost"] < model_info["input_cost_per_token"]
|
||||
assert model_info["input_cost_per_token"] < model_info["output_cost_per_token"]
|
||||
assert model_info["max_tokens"] == model_info["max_output_tokens"] <= model_info["max_input_tokens"]
|
||||
assert model_info["litellm_provider"] == "wally"
|
||||
assert model_info["mode"] == "chat"
|
||||
assert model_info["supports_function_calling"] is True
|
||||
assert model_info["supports_tool_choice"] is True
|
||||
assert model_info["supports_reasoning"] is True
|
||||
assert model_info["supports_response_schema"] is True
|
||||
assert litellm.supports_vision(model) is ("image" in litellm.model_cost[model]["supported_modalities"])
|
||||
|
||||
|
||||
def test_wally_backup_registry_mirrors_cost_map():
|
||||
package_root: Final = Path(litellm.__file__).parent
|
||||
cost_map: Final = json.loads((package_root.parent / "model_prices_and_context_window.json").read_text())
|
||||
backup: Final = json.loads((package_root / "model_prices_and_context_window_backup.json").read_text())
|
||||
wally_entries: Final = {name: entry for name, entry in cost_map.items() if name.startswith("wally/")}
|
||||
|
||||
assert wally_entries
|
||||
assert tuple(sorted(wally_entries)) == WALLY_MODELS
|
||||
assert wally_entries == {name: backup[name] for name in wally_entries}
|
||||
|
||||
|
||||
def test_wally_is_available_in_add_model_form():
|
||||
fields_path: Final = Path(litellm.__file__).parent / "proxy" / "public_endpoints" / "provider_create_fields.json"
|
||||
providers: Final = json.loads(fields_path.read_text())
|
||||
wally: Final = next(provider for provider in providers if provider["litellm_provider"] == "wally")
|
||||
|
||||
assert wally["provider"] == "WALLY"
|
||||
assert wally["provider_display_name"] == "Wally"
|
||||
assert wally["default_model_placeholder"] in WALLY_MODELS
|
||||
assert {field["key"]: field["required"] for field in wally["credential_fields"]} == {
|
||||
"api_base": False,
|
||||
"api_key": True,
|
||||
}
|
||||
|
||||
|
||||
def test_wally_supported_endpoints():
|
||||
backup_path: Final = Path(litellm.__file__).parent / "provider_endpoints_support_backup.json"
|
||||
root_path: Final = Path(litellm.__file__).parent.parent / "provider_endpoints_support.json"
|
||||
|
||||
assert json.loads(backup_path.read_text())["providers"]["wally"]["endpoints"] == _EXPECTED_ENDPOINTS
|
||||
assert json.loads(root_path.read_text())["providers"]["wally"]["endpoints"] == _EXPECTED_ENDPOINTS
|
||||
|
||||
|
||||
@pytest.mark.parametrize("reasoning_effort", ["none", "max"])
|
||||
def test_wally_chat_completion_request(reasoning_effort: str):
|
||||
with respx.mock() as upstream:
|
||||
route: Final = upstream.post(_CHAT_COMPLETIONS_URL).respond(200, json=_CHAT_COMPLETION)
|
||||
response: Final = litellm.completion(
|
||||
model="wally/glm-5.3-flash",
|
||||
messages=[{"role": "user", "content": "Say hello"}],
|
||||
max_completion_tokens=64,
|
||||
reasoning_effort=reasoning_effort,
|
||||
api_key="wally-test-key",
|
||||
)
|
||||
|
||||
request: Final = route.calls.last.request
|
||||
body: Final = json.loads(request.content)
|
||||
assert route.call_count == 1
|
||||
assert str(request.url) == _CHAT_COMPLETIONS_URL
|
||||
assert request.headers["authorization"] == "Bearer wally-test-key"
|
||||
assert body["model"] == "glm-5.3-flash"
|
||||
assert body["messages"] == [{"role": "user", "content": "Say hello"}]
|
||||
assert body["max_completion_tokens"] == 64
|
||||
assert body["reasoning_effort"] == reasoning_effort
|
||||
assert response.choices[0].message.content == "Hello from Wally"
|
||||
assert response.choices[0].message.reasoning_content == "Say hi"
|
||||
|
||||
|
||||
def test_wally_responses_request_is_bridged_to_chat_completions():
|
||||
with respx.mock() as upstream:
|
||||
route: Final = upstream.post(_CHAT_COMPLETIONS_URL).respond(200, json=_CHAT_COMPLETION)
|
||||
response: Final = litellm.responses(
|
||||
model="wally/glm-5.3-flash",
|
||||
input="Say hello",
|
||||
api_key="wally-test-key",
|
||||
)
|
||||
|
||||
request: Final = route.calls.last.request
|
||||
body: Final = json.loads(request.content)
|
||||
assert route.call_count == 1
|
||||
assert request.headers["authorization"] == "Bearer wally-test-key"
|
||||
assert body["model"] == "glm-5.3-flash"
|
||||
assert body["messages"] == [{"role": "user", "content": "Say hello"}]
|
||||
message_items: Final = [item for item in response.output if item.type == "message"]
|
||||
assert message_items[0].content[0].text == "Hello from Wally"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_wally_anthropic_messages_request_is_bridged_to_chat_completions(monkeypatch: pytest.MonkeyPatch):
|
||||
monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
|
||||
monkeypatch.setattr(litellm, "in_memory_llm_clients_cache", LLMClientCache())
|
||||
with respx.mock() as upstream:
|
||||
route: Final = upstream.post(_CHAT_COMPLETIONS_URL).respond(200, json=_CHAT_COMPLETION)
|
||||
response: Final = await litellm.anthropic.messages.acreate(
|
||||
model="wally/glm-5.3-flash",
|
||||
messages=[{"role": "user", "content": "Say hello"}],
|
||||
max_tokens=32,
|
||||
api_key="wally-test-key",
|
||||
)
|
||||
|
||||
request: Final = route.calls.last.request
|
||||
body: Final = json.loads(request.content)
|
||||
assert route.call_count == 1
|
||||
assert request.headers["authorization"] == "Bearer wally-test-key"
|
||||
assert body["model"] == "glm-5.3-flash"
|
||||
assert body["messages"] == [{"role": "user", "content": "Say hello"}]
|
||||
assert body["max_tokens"] == 32
|
||||
assert any(block.get("text") == "Hello from Wally" for block in response["content"])
|
||||
Loading…
Add table
Reference in a new issue