"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.""" from .basesdk import BaseSDK from mistralai import models, utils from mistralai._hooks import HookContext from mistralai.types import OptionalNullable, UNSET from mistralai.utils import eventstreaming, get_security_from_env from typing import Any, List, Mapping, Optional, Union class Agents(BaseSDK): r"""Agents API.""" def complete( self, *, messages: Union[ List[models.AgentsCompletionRequestMessages], List[models.AgentsCompletionRequestMessagesTypedDict], ], agent_id: str, max_tokens: OptionalNullable[int] = UNSET, stream: Optional[bool] = False, stop: Optional[ Union[ models.AgentsCompletionRequestStop, models.AgentsCompletionRequestStopTypedDict, ] ] = None, random_seed: OptionalNullable[int] = UNSET, response_format: Optional[ Union[models.ResponseFormat, models.ResponseFormatTypedDict] ] = None, tools: OptionalNullable[ Union[List[models.Tool], List[models.ToolTypedDict]] ] = UNSET, tool_choice: Optional[ Union[ models.AgentsCompletionRequestToolChoice, models.AgentsCompletionRequestToolChoiceTypedDict, ] ] = None, presence_penalty: Optional[float] = None, frequency_penalty: Optional[float] = None, n: OptionalNullable[int] = UNSET, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> Optional[models.ChatCompletionResponse]: r"""Agents Completion :param messages: The prompt(s) to generate completions for, encoded as a list of dict with role and content. :param agent_id: The ID of the agent to use for this completion. :param max_tokens: The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model's context length. :param stream: Whether to stream back partial progress. If set, tokens will be sent as data-only server-side events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON. :param stop: Stop generation if this token is detected. Or if one of these tokens is detected when providing an array :param random_seed: The seed to use for random sampling. If set, different calls will generate deterministic results. :param response_format: :param tools: :param tool_choice: :param presence_penalty: presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative. :param frequency_penalty: frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition. :param n: Number of completions to return for each request, input tokens are only billed once. :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 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 request = models.AgentsCompletionRequest( max_tokens=max_tokens, stream=stream, stop=stop, random_seed=random_seed, messages=utils.get_pydantic_model( messages, List[models.AgentsCompletionRequestMessages] ), response_format=utils.get_pydantic_model( response_format, Optional[models.ResponseFormat] ), tools=utils.get_pydantic_model(tools, OptionalNullable[List[models.Tool]]), tool_choice=utils.get_pydantic_model( tool_choice, Optional[models.AgentsCompletionRequestToolChoice] ), presence_penalty=presence_penalty, frequency_penalty=frequency_penalty, n=n, agent_id=agent_id, ) req = self._build_request( method="POST", path="/v1/agents/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="application/json", http_headers=http_headers, security=self.sdk_configuration.security, get_serialized_body=lambda: utils.serialize_request_body( request, False, False, "json", models.AgentsCompletionRequest ), 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( operation_id="agents_completion_v1_agents_completions_post", oauth2_scopes=[], security_source=get_security_from_env( self.sdk_configuration.security, models.Security ), ), request=req, error_status_codes=["422", "4XX", "5XX"], retry_config=retry_config, ) data: Any = None if utils.match_response(http_res, "200", "application/json"): return utils.unmarshal_json( http_res.text, Optional[models.ChatCompletionResponse] ) if utils.match_response(http_res, "422", "application/json"): data = utils.unmarshal_json(http_res.text, models.HTTPValidationErrorData) raise models.HTTPValidationError(data=data) if utils.match_response(http_res, ["4XX", "5XX"], "*"): http_res_text = utils.stream_to_text(http_res) raise models.SDKError( "API error occurred", http_res.status_code, http_res_text, http_res ) content_type = http_res.headers.get("Content-Type") http_res_text = utils.stream_to_text(http_res) raise models.SDKError( f"Unexpected response received (code: {http_res.status_code}, type: {content_type})", http_res.status_code, http_res_text, http_res, ) async def complete_async( self, *, messages: Union[ List[models.AgentsCompletionRequestMessages], List[models.AgentsCompletionRequestMessagesTypedDict], ], agent_id: str, max_tokens: OptionalNullable[int] = UNSET, stream: Optional[bool] = False, stop: Optional[ Union[ models.AgentsCompletionRequestStop, models.AgentsCompletionRequestStopTypedDict, ] ] = None, random_seed: OptionalNullable[int] = UNSET, response_format: Optional[ Union[models.ResponseFormat, models.ResponseFormatTypedDict] ] = None, tools: OptionalNullable[ Union[List[models.Tool], List[models.ToolTypedDict]] ] = UNSET, tool_choice: Optional[ Union[ models.AgentsCompletionRequestToolChoice, models.AgentsCompletionRequestToolChoiceTypedDict, ] ] = None, presence_penalty: Optional[float] = None, frequency_penalty: Optional[float] = None, n: OptionalNullable[int] = UNSET, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> Optional[models.ChatCompletionResponse]: r"""Agents Completion :param messages: The prompt(s) to generate completions for, encoded as a list of dict with role and content. :param agent_id: The ID of the agent to use for this completion. :param max_tokens: The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model's context length. :param stream: Whether to stream back partial progress. If set, tokens will be sent as data-only server-side events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON. :param stop: Stop generation if this token is detected. Or if one of these tokens is detected when providing an array :param random_seed: The seed to use for random sampling. If set, different calls will generate deterministic results. :param response_format: :param tools: :param tool_choice: :param presence_penalty: presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative. :param frequency_penalty: frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition. :param n: Number of completions to return for each request, input tokens are only billed once. :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 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 request = models.AgentsCompletionRequest( max_tokens=max_tokens, stream=stream, stop=stop, random_seed=random_seed, messages=utils.get_pydantic_model( messages, List[models.AgentsCompletionRequestMessages] ), response_format=utils.get_pydantic_model( response_format, Optional[models.ResponseFormat] ), tools=utils.get_pydantic_model(tools, OptionalNullable[List[models.Tool]]), tool_choice=utils.get_pydantic_model( tool_choice, Optional[models.AgentsCompletionRequestToolChoice] ), presence_penalty=presence_penalty, frequency_penalty=frequency_penalty, n=n, agent_id=agent_id, ) req = self._build_request_async( method="POST", path="/v1/agents/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="application/json", http_headers=http_headers, security=self.sdk_configuration.security, get_serialized_body=lambda: utils.serialize_request_body( request, False, False, "json", models.AgentsCompletionRequest ), 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( operation_id="agents_completion_v1_agents_completions_post", oauth2_scopes=[], security_source=get_security_from_env( self.sdk_configuration.security, models.Security ), ), request=req, error_status_codes=["422", "4XX", "5XX"], retry_config=retry_config, ) data: Any = None if utils.match_response(http_res, "200", "application/json"): return utils.unmarshal_json( http_res.text, Optional[models.ChatCompletionResponse] ) if utils.match_response(http_res, "422", "application/json"): data = utils.unmarshal_json(http_res.text, models.HTTPValidationErrorData) raise models.HTTPValidationError(data=data) if utils.match_response(http_res, ["4XX", "5XX"], "*"): http_res_text = await utils.stream_to_text_async(http_res) raise models.SDKError( "API error occurred", http_res.status_code, http_res_text, http_res ) content_type = http_res.headers.get("Content-Type") http_res_text = await utils.stream_to_text_async(http_res) raise models.SDKError( f"Unexpected response received (code: {http_res.status_code}, type: {content_type})", http_res.status_code, http_res_text, http_res, ) def stream( self, *, messages: Union[ List[models.AgentsCompletionStreamRequestMessages], List[models.AgentsCompletionStreamRequestMessagesTypedDict], ], agent_id: str, max_tokens: OptionalNullable[int] = UNSET, stream: Optional[bool] = True, stop: Optional[ Union[ models.AgentsCompletionStreamRequestStop, models.AgentsCompletionStreamRequestStopTypedDict, ] ] = None, random_seed: OptionalNullable[int] = UNSET, response_format: Optional[ Union[models.ResponseFormat, models.ResponseFormatTypedDict] ] = None, tools: OptionalNullable[ Union[List[models.Tool], List[models.ToolTypedDict]] ] = UNSET, tool_choice: Optional[ Union[ models.AgentsCompletionStreamRequestToolChoice, models.AgentsCompletionStreamRequestToolChoiceTypedDict, ] ] = None, presence_penalty: Optional[float] = None, frequency_penalty: Optional[float] = None, n: OptionalNullable[int] = UNSET, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> Optional[eventstreaming.EventStream[models.CompletionEvent]]: r"""Stream Agents completion Mistral AI provides the ability to stream responses back to a client in order to allow partial results for certain requests. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON. :param messages: The prompt(s) to generate completions for, encoded as a list of dict with role and content. :param agent_id: The ID of the agent to use for this completion. :param max_tokens: The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model's context length. :param stream: :param stop: Stop generation if this token is detected. Or if one of these tokens is detected when providing an array :param random_seed: The seed to use for random sampling. If set, different calls will generate deterministic results. :param response_format: :param tools: :param tool_choice: :param presence_penalty: presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative. :param frequency_penalty: frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition. :param n: Number of completions to return for each request, input tokens are only billed once. :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 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 request = models.AgentsCompletionStreamRequest( max_tokens=max_tokens, stream=stream, stop=stop, random_seed=random_seed, messages=utils.get_pydantic_model( messages, List[models.AgentsCompletionStreamRequestMessages] ), response_format=utils.get_pydantic_model( response_format, Optional[models.ResponseFormat] ), tools=utils.get_pydantic_model(tools, OptionalNullable[List[models.Tool]]), tool_choice=utils.get_pydantic_model( tool_choice, Optional[models.AgentsCompletionStreamRequestToolChoice] ), presence_penalty=presence_penalty, frequency_penalty=frequency_penalty, n=n, agent_id=agent_id, ) req = self._build_request( method="POST", path="/v1/agents/completions#stream", 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="text/event-stream", http_headers=http_headers, security=self.sdk_configuration.security, get_serialized_body=lambda: utils.serialize_request_body( request, False, False, "json", models.AgentsCompletionStreamRequest ), 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( operation_id="stream_agents", oauth2_scopes=[], security_source=get_security_from_env( self.sdk_configuration.security, models.Security ), ), request=req, error_status_codes=["422", "4XX", "5XX"], stream=True, retry_config=retry_config, ) data: Any = None if utils.match_response(http_res, "200", "text/event-stream"): return eventstreaming.EventStream( http_res, lambda raw: utils.unmarshal_json(raw, models.CompletionEvent), sentinel="[DONE]", ) if utils.match_response(http_res, "422", "application/json"): http_res_text = utils.stream_to_text(http_res) data = utils.unmarshal_json(http_res_text, models.HTTPValidationErrorData) raise models.HTTPValidationError(data=data) if utils.match_response(http_res, ["4XX", "5XX"], "*"): http_res_text = utils.stream_to_text(http_res) raise models.SDKError( "API error occurred", http_res.status_code, http_res_text, http_res ) content_type = http_res.headers.get("Content-Type") http_res_text = utils.stream_to_text(http_res) raise models.SDKError( f"Unexpected response received (code: {http_res.status_code}, type: {content_type})", http_res.status_code, http_res_text, http_res, ) async def stream_async( self, *, messages: Union[ List[models.AgentsCompletionStreamRequestMessages], List[models.AgentsCompletionStreamRequestMessagesTypedDict], ], agent_id: str, max_tokens: OptionalNullable[int] = UNSET, stream: Optional[bool] = True, stop: Optional[ Union[ models.AgentsCompletionStreamRequestStop, models.AgentsCompletionStreamRequestStopTypedDict, ] ] = None, random_seed: OptionalNullable[int] = UNSET, response_format: Optional[ Union[models.ResponseFormat, models.ResponseFormatTypedDict] ] = None, tools: OptionalNullable[ Union[List[models.Tool], List[models.ToolTypedDict]] ] = UNSET, tool_choice: Optional[ Union[ models.AgentsCompletionStreamRequestToolChoice, models.AgentsCompletionStreamRequestToolChoiceTypedDict, ] ] = None, presence_penalty: Optional[float] = None, frequency_penalty: Optional[float] = None, n: OptionalNullable[int] = UNSET, retries: OptionalNullable[utils.RetryConfig] = UNSET, server_url: Optional[str] = None, timeout_ms: Optional[int] = None, http_headers: Optional[Mapping[str, str]] = None, ) -> Optional[eventstreaming.EventStreamAsync[models.CompletionEvent]]: r"""Stream Agents completion Mistral AI provides the ability to stream responses back to a client in order to allow partial results for certain requests. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON. :param messages: The prompt(s) to generate completions for, encoded as a list of dict with role and content. :param agent_id: The ID of the agent to use for this completion. :param max_tokens: The maximum number of tokens to generate in the completion. The token count of your prompt plus `max_tokens` cannot exceed the model's context length. :param stream: :param stop: Stop generation if this token is detected. Or if one of these tokens is detected when providing an array :param random_seed: The seed to use for random sampling. If set, different calls will generate deterministic results. :param response_format: :param tools: :param tool_choice: :param presence_penalty: presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative. :param frequency_penalty: frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition. :param n: Number of completions to return for each request, input tokens are only billed once. :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 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 request = models.AgentsCompletionStreamRequest( max_tokens=max_tokens, stream=stream, stop=stop, random_seed=random_seed, messages=utils.get_pydantic_model( messages, List[models.AgentsCompletionStreamRequestMessages] ), response_format=utils.get_pydantic_model( response_format, Optional[models.ResponseFormat] ), tools=utils.get_pydantic_model(tools, OptionalNullable[List[models.Tool]]), tool_choice=utils.get_pydantic_model( tool_choice, Optional[models.AgentsCompletionStreamRequestToolChoice] ), presence_penalty=presence_penalty, frequency_penalty=frequency_penalty, n=n, agent_id=agent_id, ) req = self._build_request_async( method="POST", path="/v1/agents/completions#stream", 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="text/event-stream", http_headers=http_headers, security=self.sdk_configuration.security, get_serialized_body=lambda: utils.serialize_request_body( request, False, False, "json", models.AgentsCompletionStreamRequest ), 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( operation_id="stream_agents", oauth2_scopes=[], security_source=get_security_from_env( self.sdk_configuration.security, models.Security ), ), request=req, error_status_codes=["422", "4XX", "5XX"], stream=True, retry_config=retry_config, ) data: Any = None if utils.match_response(http_res, "200", "text/event-stream"): return eventstreaming.EventStreamAsync( http_res, lambda raw: utils.unmarshal_json(raw, models.CompletionEvent), sentinel="[DONE]", ) if utils.match_response(http_res, "422", "application/json"): http_res_text = await utils.stream_to_text_async(http_res) data = utils.unmarshal_json(http_res_text, models.HTTPValidationErrorData) raise models.HTTPValidationError(data=data) if utils.match_response(http_res, ["4XX", "5XX"], "*"): http_res_text = await utils.stream_to_text_async(http_res) raise models.SDKError( "API error occurred", http_res.status_code, http_res_text, http_res ) content_type = http_res.headers.get("Content-Type") http_res_text = await utils.stream_to_text_async(http_res) raise models.SDKError( f"Unexpected response received (code: {http_res.status_code}, type: {content_type})", http_res.status_code, http_res_text, http_res, )