"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.""" from .basesdk import BaseSDK from enum import Enum from openrouter import errors, models, utils from openrouter._hooks import HookContext from openrouter.types import OptionalNullable, UNSET from openrouter.utils import eventstreaming, get_security_from_env from openrouter.utils.unmarshal_json_response import unmarshal_json_response from typing import Any, Dict, List, Mapping, Optional, Union # region imports from typing import overload from typing_extensions import Literal # endregion imports class CompleteAcceptEnum(str, Enum): APPLICATION_JSON = "application/json" TEXT_EVENT_STREAM = "text/event-stream" class Chat(BaseSDK): # region sdk-class-body @overload def complete( self, *, messages: Union[ List[models.ChatCompletionMessageParam], List[models.ChatCompletionMessageParamTypedDict], ], model: Optional[str] = None, stream: Literal[True], stream_options: OptionalNullable[ Union[models.StreamOptions, models.StreamOptionsTypedDict] ] = UNSET, temperature: OptionalNullable[float] = 1, tool_choice: Optional[ Union[ models.ChatCompletionToolChoiceOption, models.ChatCompletionToolChoiceOptionTypedDict, ] ] = None, tools: Optional[ Union[ List[models.ChatCompletionTool], List[models.ChatCompletionToolTypedDict], ] ] = None, top_p: OptionalNullable[float] = 1, user: Optional[str] = None, model_list: OptionalNullable[List[str]] = UNSET, reasoning_effort: OptionalNullable[models.ReasoningEffort] = UNSET, provider: OptionalNullable[ Union[models.Provider, models.ProviderTypedDict] ] = UNSET, plugins: Optional[ Union[List[models.Plugin], List[models.PluginTypedDict]] ] = None, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, accept_header_override: Optional[CompleteAcceptEnum] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> eventstreaming.EventStream[models.ChatCompletionChunkWrapper]: ... @overload def complete( self, *, messages: Union[ List[models.ChatCompletionMessageParam], List[models.ChatCompletionMessageParamTypedDict], ], model: Optional[str] = None, frequency_penalty: OptionalNullable[float] = UNSET, logit_bias: OptionalNullable[Dict[str, float]] = UNSET, logprobs: OptionalNullable[bool] = UNSET, top_logprobs: OptionalNullable[float] = UNSET, max_completion_tokens: OptionalNullable[float] = UNSET, max_tokens: OptionalNullable[float] = UNSET, metadata: Optional[Dict[str, str]] = None, presence_penalty: OptionalNullable[float] = UNSET, reasoning: OptionalNullable[ Union[models.Reasoning, models.ReasoningTypedDict] ] = UNSET, response_format: Optional[ Union[models.ResponseFormat, models.ResponseFormatTypedDict] ] = None, seed: OptionalNullable[int] = UNSET, stop: OptionalNullable[Union[models.Stop, models.StopTypedDict]] = UNSET, stream: Union[Literal[False], None] = None, stream_options: OptionalNullable[ Union[models.StreamOptions, models.StreamOptionsTypedDict] ] = UNSET, temperature: OptionalNullable[float] = 1, tool_choice: Optional[ Union[ models.ChatCompletionToolChoiceOption, models.ChatCompletionToolChoiceOptionTypedDict, ] ] = None, tools: Optional[ Union[ List[models.ChatCompletionTool], List[models.ChatCompletionToolTypedDict], ] ] = None, top_p: OptionalNullable[float] = 1, user: Optional[str] = None, model_list: OptionalNullable[List[str]] = UNSET, reasoning_effort: OptionalNullable[models.ReasoningEffort] = UNSET, provider: OptionalNullable[ Union[models.Provider, models.ProviderTypedDict] ] = UNSET, plugins: Optional[ Union[List[models.Plugin], List[models.PluginTypedDict]] ] = None, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, accept_header_override: Optional[CompleteAcceptEnum] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> models.ChatCompletion: ... # endregion sdk-class-body def complete( self, *, messages: Union[ List[models.ChatCompletionMessageParam], List[models.ChatCompletionMessageParamTypedDict], ], model: Optional[str] = None, frequency_penalty: OptionalNullable[float] = UNSET, logit_bias: OptionalNullable[Dict[str, float]] = UNSET, logprobs: OptionalNullable[bool] = UNSET, top_logprobs: OptionalNullable[float] = UNSET, max_completion_tokens: OptionalNullable[float] = UNSET, max_tokens: OptionalNullable[float] = UNSET, metadata: Optional[Dict[str, str]] = None, presence_penalty: OptionalNullable[float] = UNSET, reasoning: OptionalNullable[ Union[models.Reasoning, models.ReasoningTypedDict] ] = UNSET, response_format: Optional[ Union[models.ResponseFormat, models.ResponseFormatTypedDict] ] = None, seed: OptionalNullable[int] = UNSET, stop: OptionalNullable[Union[models.Stop, models.StopTypedDict]] = UNSET, stream: OptionalNullable[bool] = False, stream_options: OptionalNullable[ Union[models.StreamOptions, models.StreamOptionsTypedDict] ] = UNSET, temperature: OptionalNullable[float] = 1, tool_choice: Optional[ Union[ models.ChatCompletionToolChoiceOption, models.ChatCompletionToolChoiceOptionTypedDict, ] ] = None, tools: Optional[ Union[ List[models.ChatCompletionTool], List[models.ChatCompletionToolTypedDict], ] ] = None, top_p: OptionalNullable[float] = 1, user: Optional[str] = None, model_list: OptionalNullable[List[str]] = UNSET, reasoning_effort: OptionalNullable[models.ReasoningEffort] = UNSET, provider: OptionalNullable[ Union[models.Provider, models.ProviderTypedDict] ] = UNSET, plugins: Optional[ Union[List[models.Plugin], List[models.PluginTypedDict]] ] = None, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, accept_header_override: Optional[CompleteAcceptEnum] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> models.CreateChatCompletionResponse: r"""Create a chat completion Creates a model response for the given chat conversation. Supports both streaming and non-streaming modes. :param messages: List of messages for the conversation :param model: Model to use for completion :param frequency_penalty: Frequency penalty (-2.0 to 2.0) :param logit_bias: Token logit bias adjustments :param logprobs: Return log probabilities :param top_logprobs: Number of top log probabilities to return (0-20) :param max_completion_tokens: Maximum tokens in completion :param max_tokens: Maximum tokens (deprecated, use max_completion_tokens) :param metadata: Key-value pairs for additional object information (max 16 pairs, 64 char keys, 512 char values) :param presence_penalty: Presence penalty (-2.0 to 2.0) :param reasoning: Reasoning configuration :param response_format: Response format configuration :param seed: Random seed for deterministic outputs :param stop: Stop sequences (up to 4) :param stream: Enable streaming response :param stream_options: :param temperature: Sampling temperature (0-2) :param tool_choice: Tool choice configuration :param tools: Available tools for function calling :param top_p: Nucleus sampling parameter (0-1) :param user: Unique user identifier :param model_list: Order of models to fallback to for this request :param reasoning_effort: Reasoning effort :param provider: When multiple model providers are available, optionally indicate your routing preference. :param plugins: Plugins you want to enable for this request, including their settings. :param retries: Override the default retry configuration for this method :param server_url: Override the default server URL for this method :param timeout_ms: Override the default request timeout configuration for this method in milliseconds :param accept_header_override: Override the default accept header for this method :param http_headers: Additional headers to set or replace on requests. """ base_url = None url_variables = None if timeout_ms is None: timeout_ms = self.sdk_configuration.timeout_ms if server_url is not None: base_url = server_url else: base_url = self._get_url(base_url, url_variables) request = models.ChatCompletionCreateParams( messages=utils.get_pydantic_model( messages, List[models.ChatCompletionMessageParam] ), model=model, frequency_penalty=frequency_penalty, logit_bias=logit_bias, logprobs=logprobs, top_logprobs=top_logprobs, max_completion_tokens=max_completion_tokens, max_tokens=max_tokens, metadata=metadata, presence_penalty=presence_penalty, reasoning=utils.get_pydantic_model( reasoning, OptionalNullable[models.Reasoning] ), response_format=utils.get_pydantic_model( response_format, Optional[models.ResponseFormat] ), seed=seed, stop=stop, stream=stream, stream_options=utils.get_pydantic_model( stream_options, OptionalNullable[models.StreamOptions] ), temperature=temperature, tool_choice=utils.get_pydantic_model( tool_choice, Optional[models.ChatCompletionToolChoiceOption] ), tools=utils.get_pydantic_model( tools, Optional[List[models.ChatCompletionTool]] ), top_p=top_p, user=user, model_list=model_list, reasoning_effort=reasoning_effort, provider=utils.get_pydantic_model( provider, OptionalNullable[models.Provider] ), plugins=utils.get_pydantic_model(plugins, Optional[List[models.Plugin]]), ) req = self._build_request( method="POST", path="/chat/completions", base_url=base_url, url_variables=url_variables, request=request, request_body_required=True, request_has_path_params=False, request_has_query_params=True, user_agent_header="user-agent", accept_header_value=accept_header_override.value if accept_header_override is not None else "application/json;q=1, text/event-stream;q=0", http_headers=http_headers, security=self.sdk_configuration.security, get_serialized_body=lambda: utils.serialize_request_body( request, False, False, "json", models.ChatCompletionCreateParams ), timeout_ms=timeout_ms, ) if retries == UNSET: if self.sdk_configuration.retry_config is not UNSET: retries = self.sdk_configuration.retry_config retry_config = None if isinstance(retries, utils.RetryConfig): retry_config = (retries, ["429", "500", "502", "503", "504"]) http_res = self.do_request( hook_ctx=HookContext( config=self.sdk_configuration, base_url=base_url or "", operation_id="createChatCompletion", oauth2_scopes=[], security_source=get_security_from_env( self.sdk_configuration.security, models.Security ), ), request=req, error_status_codes=["400", "401", "429", "4XX", "500", "5XX"], stream=True, retry_config=retry_config, ) response_data: Any = None if utils.match_response(http_res, "200", "application/json"): http_res_text = utils.stream_to_text(http_res) return unmarshal_json_response( models.ChatCompletion, http_res, http_res_text ) if utils.match_response(http_res, "200", "text/event-stream"): return eventstreaming.EventStream( http_res, lambda raw: utils.unmarshal_json( raw, models.ChatCompletionChunkWrapper ), sentinel="[DONE]", client_ref=self, ) if utils.match_response(http_res, ["400", "401", "429"], "application/json"): http_res_text = utils.stream_to_text(http_res) response_data = unmarshal_json_response( errors.ChatCompletionErrorData, http_res, http_res_text ) raise errors.ChatCompletionError(response_data, http_res, http_res_text) if utils.match_response(http_res, "500", "application/json"): http_res_text = utils.stream_to_text(http_res) response_data = unmarshal_json_response( errors.ChatCompletionErrorData, http_res, http_res_text ) raise errors.ChatCompletionError(response_data, http_res, http_res_text) if utils.match_response(http_res, "4XX", "*"): http_res_text = utils.stream_to_text(http_res) raise errors.OpenRouterDefaultError( "API error occurred", http_res, http_res_text ) if utils.match_response(http_res, "5XX", "*"): http_res_text = utils.stream_to_text(http_res) raise errors.OpenRouterDefaultError( "API error occurred", http_res, http_res_text ) http_res_text = utils.stream_to_text(http_res) raise errors.OpenRouterDefaultError( "Unexpected response received", http_res, http_res_text ) async def complete_async( self, *, messages: Union[ List[models.ChatCompletionMessageParam], List[models.ChatCompletionMessageParamTypedDict], ], model: Optional[str] = None, frequency_penalty: OptionalNullable[float] = UNSET, logit_bias: OptionalNullable[Dict[str, float]] = UNSET, logprobs: OptionalNullable[bool] = UNSET, top_logprobs: OptionalNullable[float] = UNSET, max_completion_tokens: OptionalNullable[float] = UNSET, max_tokens: OptionalNullable[float] = UNSET, metadata: Optional[Dict[str, str]] = None, presence_penalty: OptionalNullable[float] = UNSET, reasoning: OptionalNullable[ Union[models.Reasoning, models.ReasoningTypedDict] ] = UNSET, response_format: Optional[ Union[models.ResponseFormat, models.ResponseFormatTypedDict] ] = None, seed: OptionalNullable[int] = UNSET, stop: OptionalNullable[Union[models.Stop, models.StopTypedDict]] = UNSET, stream: OptionalNullable[bool] = False, stream_options: OptionalNullable[ Union[models.StreamOptions, models.StreamOptionsTypedDict] ] = UNSET, temperature: OptionalNullable[float] = 1, tool_choice: Optional[ Union[ models.ChatCompletionToolChoiceOption, models.ChatCompletionToolChoiceOptionTypedDict, ] ] = None, tools: Optional[ Union[ List[models.ChatCompletionTool], List[models.ChatCompletionToolTypedDict], ] ] = None, top_p: OptionalNullable[float] = 1, user: Optional[str] = None, model_list: OptionalNullable[List[str]] = UNSET, reasoning_effort: OptionalNullable[models.ReasoningEffort] = UNSET, provider: OptionalNullable[ Union[models.Provider, models.ProviderTypedDict] ] = UNSET, plugins: Optional[ Union[List[models.Plugin], List[models.PluginTypedDict]] ] = None, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, accept_header_override: Optional[CompleteAcceptEnum] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> models.CreateChatCompletionResponse: r"""Create a chat completion Creates a model response for the given chat conversation. Supports both streaming and non-streaming modes. :param messages: List of messages for the conversation :param model: Model to use for completion :param frequency_penalty: Frequency penalty (-2.0 to 2.0) :param logit_bias: Token logit bias adjustments :param logprobs: Return log probabilities :param top_logprobs: Number of top log probabilities to return (0-20) :param max_completion_tokens: Maximum tokens in completion :param max_tokens: Maximum tokens (deprecated, use max_completion_tokens) :param metadata: Key-value pairs for additional object information (max 16 pairs, 64 char keys, 512 char values) :param presence_penalty: Presence penalty (-2.0 to 2.0) :param reasoning: Reasoning configuration :param response_format: Response format configuration :param seed: Random seed for deterministic outputs :param stop: Stop sequences (up to 4) :param stream: Enable streaming response :param stream_options: :param temperature: Sampling temperature (0-2) :param tool_choice: Tool choice configuration :param tools: Available tools for function calling :param top_p: Nucleus sampling parameter (0-1) :param user: Unique user identifier :param model_list: Order of models to fallback to for this request :param reasoning_effort: Reasoning effort :param provider: When multiple model providers are available, optionally indicate your routing preference. :param plugins: Plugins you want to enable for this request, including their settings. :param retries: Override the default retry configuration for this method :param server_url: Override the default server URL for this method :param timeout_ms: Override the default request timeout configuration for this method in milliseconds :param accept_header_override: Override the default accept header for this method :param http_headers: Additional headers to set or replace on requests. """ base_url = None url_variables = None if timeout_ms is None: timeout_ms = self.sdk_configuration.timeout_ms if server_url is not None: base_url = server_url else: base_url = self._get_url(base_url, url_variables) request = models.ChatCompletionCreateParams( messages=utils.get_pydantic_model( messages, List[models.ChatCompletionMessageParam] ), model=model, frequency_penalty=frequency_penalty, logit_bias=logit_bias, logprobs=logprobs, top_logprobs=top_logprobs, max_completion_tokens=max_completion_tokens, max_tokens=max_tokens, metadata=metadata, presence_penalty=presence_penalty, reasoning=utils.get_pydantic_model( reasoning, OptionalNullable[models.Reasoning] ), response_format=utils.get_pydantic_model( response_format, Optional[models.ResponseFormat] ), seed=seed, stop=stop, stream=stream, stream_options=utils.get_pydantic_model( stream_options, OptionalNullable[models.StreamOptions] ), temperature=temperature, tool_choice=utils.get_pydantic_model( tool_choice, Optional[models.ChatCompletionToolChoiceOption] ), tools=utils.get_pydantic_model( tools, Optional[List[models.ChatCompletionTool]] ), top_p=top_p, user=user, model_list=model_list, reasoning_effort=reasoning_effort, provider=utils.get_pydantic_model( provider, OptionalNullable[models.Provider] ), plugins=utils.get_pydantic_model(plugins, Optional[List[models.Plugin]]), ) req = self._build_request_async( method="POST", path="/chat/completions", base_url=base_url, url_variables=url_variables, request=request, request_body_required=True, request_has_path_params=False, request_has_query_params=True, user_agent_header="user-agent", accept_header_value=accept_header_override.value if accept_header_override is not None else "application/json;q=1, text/event-stream;q=0", http_headers=http_headers, security=self.sdk_configuration.security, get_serialized_body=lambda: utils.serialize_request_body( request, False, False, "json", models.ChatCompletionCreateParams ), timeout_ms=timeout_ms, ) if retries == UNSET: if self.sdk_configuration.retry_config is not UNSET: retries = self.sdk_configuration.retry_config retry_config = None if isinstance(retries, utils.RetryConfig): retry_config = (retries, ["429", "500", "502", "503", "504"]) http_res = await self.do_request_async( hook_ctx=HookContext( config=self.sdk_configuration, base_url=base_url or "", operation_id="createChatCompletion", oauth2_scopes=[], security_source=get_security_from_env( self.sdk_configuration.security, models.Security ), ), request=req, error_status_codes=["400", "401", "429", "4XX", "500", "5XX"], stream=True, retry_config=retry_config, ) response_data: Any = None if utils.match_response(http_res, "200", "application/json"): http_res_text = await utils.stream_to_text_async(http_res) return unmarshal_json_response( models.ChatCompletion, http_res, http_res_text ) if utils.match_response(http_res, "200", "text/event-stream"): return eventstreaming.EventStreamAsync( http_res, lambda raw: utils.unmarshal_json( raw, models.ChatCompletionChunkWrapper ), sentinel="[DONE]", client_ref=self, ) if utils.match_response(http_res, ["400", "401", "429"], "application/json"): http_res_text = await utils.stream_to_text_async(http_res) response_data = unmarshal_json_response( errors.ChatCompletionErrorData, http_res, http_res_text ) raise errors.ChatCompletionError(response_data, http_res, http_res_text) if utils.match_response(http_res, "500", "application/json"): http_res_text = await utils.stream_to_text_async(http_res) response_data = unmarshal_json_response( errors.ChatCompletionErrorData, http_res, http_res_text ) raise errors.ChatCompletionError(response_data, http_res, http_res_text) if utils.match_response(http_res, "4XX", "*"): http_res_text = await utils.stream_to_text_async(http_res) raise errors.OpenRouterDefaultError( "API error occurred", http_res, http_res_text ) if utils.match_response(http_res, "5XX", "*"): http_res_text = await utils.stream_to_text_async(http_res) raise errors.OpenRouterDefaultError( "API error occurred", http_res, http_res_text ) http_res_text = await utils.stream_to_text_async(http_res) raise errors.OpenRouterDefaultError( "Unexpected response received", http_res, http_res_text )