Source code for models.mistral_api_model

"""
Script
------
mistral_api_model.py

Path
----
models/mistral_api_model.py

Purpose
-------
Mistral AI API integration for orchestration workflows.

Supports models via Mistral's REST API with proper authentication.
API-based only (not Le Chat Pro manual access).

Inputs
------
model_name (str): Mistral model identifier
messages (list): Conversation messages in API format
max_tokens (int): Maximum response length
temperature (float): Sampling temperature

Outputs
-------
Dictionary: {output, model, tokens_used, provider}

Compliance
----------
 API-based orchestration (compliant with Mistral ToS)
 Requires API key authentication (environment variable)
 Not for Le Chat Pro automation

Configuration
-------------
MISTRAL_API_KEY: API key for authentication (via env var)
MISTRAL_MODEL: Model identifier

Failure Modes
-------------
- Missing API key ComplianceError
- Invalid model API error
- Rate limit exceeded error dict
- Timeout error dict

Author: Julen Gamboa <julen.gamboa.ds@gmail.com>

Created
-------
2026-02-14

Status
------
 PLACEHOLDER - Not yet implemented
 Ready for implementation in Phase 2
"""

from typing import Any, Dict, List, Optional
import os
import logging

logger = logging.getLogger(__name__)




class MistralAPIModel:
	"""Mistral AI API provider with model selector.

	Supports multiple Mistral model options from budget-friendly to high-capability.

	Model Options (use short names or full identifiers):
	- "small" mistral-medium-latest (recommended, good balance, cheap)
	- "medium" mistral-large-2411 (most capable, standard pricing)
	- "mini" ministral-3b (cheapest, edge deployment)
	- "code" codestral-2508 (coding-focused, cheap)
	- "devstral" devstral-2 (coding-focused, cheap)
	- Full identifier: "mistral-large-2411" (use as-is)

	Pricing Guide:
	- ministral-3b: $0.1 input / $0.5 output per 1M tokens (cheapest)
	- ministral-14b: $0.5 input / $2.5 output per 1M tokens
	- codestral-2508: $0.5 input / $2.5 output per 1M tokens
	- mistral-medium-latest: $1.0 input / $5.0 output per 1M tokens
	- mistral-large-2411: $3.0 input / $15.0 output per 1M tokens (most capable)

	Examples:
	# Using short names (recommended)
	small = MistralAPIModel(model="small")
	code = MistralAPIModel(model="code")

	# Using full identifiers
	custom = MistralAPIModel(model="mistral-large-2411")
	"""

	# Model selector mapping: short names full identifiers
	MODEL_ALIASES = {
		"small": "mistral-medium-latest",
		"medium": "mistral-large-2411",
		"mini": "ministral-3b",
		"code": "codestral-2508",
		"devstral": "devstral-2",
	}



	def __init__(
		self,
		model: str = "small",
		api_key: Optional[str] = None,
		base_url: str = "https://api.mistral.ai/v1"
	):
		"""
		Initialize Mistral API provider.

		Args:
		model: Model to use. Can be:
		- Short name: "small", "medium", "mini", "code", "devstral"
		- Full identifier: "mistral-large-2411"
		api_key: API key (defaults to MISTRAL_API_KEY env var)
		base_url: API endpoint base URL

		Raises:
		ValueError: If API key not provided
		"""
		# Resolve model alias if short name provided
		self.model_name = self.MODEL_ALIASES.get(model, model)
		self.api_key = api_key or os.getenv("MISTRAL_API_KEY")
		self.base_url = base_url

		if not self.api_key:
			raise ValueError(
				"Mistral API key required: set MISTRAL_API_KEY env var"
			)




	def call(
		self,
		prompt: str,
		messages: Optional[List[Dict[str, str]]] = None,
		**kwargs
	) -> Dict[str, Any]:
		"""
		Call Mistral API (placeholder - not implemented).

		Args:
		prompt: User prompt
		messages: Message history
		**kwargs: Additional parameters

		Returns:
		Dictionary with response (not implemented)

		Status:
		PLACEHOLDER - raises NotImplementedError
		"""
		raise NotImplementedError(
			"Mistral API model not yet implemented. "
			"Scheduled for Phase 2 development."
		)