L'électron rare
59ed367561
Plan 25: extract_hypnoled_datasets.py — 433 components from 7 schematics → 30 Q&A pairs Plan 23v2: beta_api_client.py — Mistral Beta Conversations client (T-MA-037/038) Plan 27: vision_mcp.py + quality_inspector_agent.json (previous commit) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
451 lines
14 KiB
Python
451 lines
14 KiB
Python
#!/usr/bin/env python3
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"""
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Mistral Beta Conversations API client wrapper.
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Provides a structured client for the Mistral Beta Conversations API,
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compatible with the existing mistral_agents_tui.sh interface.
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Environment:
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MISTRAL_API_URL — API base URL (default: https://api.mistral.ai)
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MISTRAL_API_KEY — API key for authentication
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Usage:
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from tools.mistral.beta_api_client import MistralBetaClient
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client = MistralBetaClient()
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conv = client.create_conversation(agent_id="ag_xxx")
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resp = client.send_message(conv["id"], "Hello")
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convs = client.list_conversations()
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"""
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from __future__ import annotations
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import os
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional
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import httpx
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# ---------------------------------------------------------------------------
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# Agent registry (mirrors mistral_agents_tui.sh agent IDs)
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# ---------------------------------------------------------------------------
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AGENT_IDS = {
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"sentinelle": os.environ.get(
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"MISTRAL_AGENT_SENTINELLE_ID",
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"ag_019d124c302375a8bf06f9ff8a99fb5f",
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),
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"tower": os.environ.get(
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"MISTRAL_AGENT_TOWER_ID",
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"ag_019d124e760877359ad3ff5031179ebc",
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),
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"forge": os.environ.get(
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"MISTRAL_AGENT_FORGE_ID",
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"ag_019d1251023f73258b80ac73f90458f6",
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),
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"devstral": os.environ.get(
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"MISTRAL_AGENT_DEVSTRAL_ID",
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"ag_019d125348eb77e880df33acbd395efa",
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),
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}
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# ---------------------------------------------------------------------------
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# Response types
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# ---------------------------------------------------------------------------
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@dataclass
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class ConversationInfo:
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"""Metadata for a Beta API conversation."""
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id: str = ""
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agent_id: str = ""
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created_at: str = ""
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status: str = "active"
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metadata: Dict[str, Any] = field(default_factory=dict)
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def to_dict(self) -> Dict[str, Any]:
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return {
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"id": self.id,
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"agent_id": self.agent_id,
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"created_at": self.created_at,
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"status": self.status,
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"metadata": self.metadata,
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}
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@dataclass
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class MessageResponse:
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"""Response from send_message."""
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conversation_id: str = ""
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content: str = ""
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role: str = "assistant"
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usage: Dict[str, int] = field(default_factory=dict)
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model: str = ""
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raw: Dict[str, Any] = field(default_factory=dict)
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def to_dict(self) -> Dict[str, Any]:
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return {
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"conversation_id": self.conversation_id,
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"content": self.content,
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"role": self.role,
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"usage": self.usage,
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"model": self.model,
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}
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# ---------------------------------------------------------------------------
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# Client
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# ---------------------------------------------------------------------------
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class MistralBetaClient:
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"""
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Wrapper for the Mistral Beta Conversations API.
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Provides create_conversation, send_message, list_conversations methods
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that map to the Beta API endpoints, with fallback awareness for the
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deprecated /v1/agents/completions endpoint.
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"""
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def __init__(
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self,
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api_url: Optional[str] = None,
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api_key: Optional[str] = None,
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timeout: float = 60.0,
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):
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self.api_url = (api_url or os.environ.get("MISTRAL_API_URL", "https://api.mistral.ai")).rstrip("/")
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self.api_key = api_key or os.environ.get("MISTRAL_API_KEY", "")
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self.timeout = timeout
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self._client: Optional[httpx.Client] = None
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# -- HTTP plumbing --
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@property
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def _headers(self) -> Dict[str, str]:
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return {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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"Accept": "application/json",
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}
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@property
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def client(self) -> httpx.Client:
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if self._client is None or self._client.is_closed:
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self._client = httpx.Client(
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base_url=self.api_url,
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headers=self._headers,
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timeout=self.timeout,
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)
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return self._client
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def close(self) -> None:
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if self._client and not self._client.is_closed:
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self._client.close()
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def __enter__(self):
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return self
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def __exit__(self, *args):
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self.close()
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# -- Conversation endpoints (Beta API) --
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def create_conversation(
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self,
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agent_id: Optional[str] = None,
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agent_name: Optional[str] = None,
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metadata: Optional[Dict[str, Any]] = None,
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) -> ConversationInfo:
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"""
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Create a new conversation with a Mistral agent.
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Args:
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agent_id: Direct agent ID (takes precedence).
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agent_name: Agent name from registry (sentinelle, tower, forge, devstral).
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metadata: Optional metadata to attach to the conversation.
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Returns:
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ConversationInfo with the new conversation details.
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"""
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resolved_id = agent_id or AGENT_IDS.get(agent_name or "", "")
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if not resolved_id:
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raise ValueError(
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f"No agent_id provided and '{agent_name}' not in registry. "
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f"Available: {list(AGENT_IDS.keys())}"
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)
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payload: Dict[str, Any] = {
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"agent_id": resolved_id,
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}
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if metadata:
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payload["metadata"] = metadata
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resp = self.client.post("/v1/conversations", json=payload)
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resp.raise_for_status()
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data = resp.json()
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return ConversationInfo(
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id=data.get("id", ""),
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agent_id=resolved_id,
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created_at=data.get("created_at", ""),
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status=data.get("status", "active"),
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metadata=data.get("metadata", {}),
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)
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def send_message(
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self,
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conversation_id: str,
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content: str,
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*,
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role: str = "user",
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temperature: Optional[float] = None,
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max_tokens: Optional[int] = None,
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) -> MessageResponse:
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"""
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Send a message in an existing conversation.
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Args:
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conversation_id: ID from create_conversation.
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content: User message text.
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role: Message role (default "user").
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temperature: Override agent temperature.
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max_tokens: Override max tokens.
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Returns:
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MessageResponse with the assistant's reply.
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"""
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payload: Dict[str, Any] = {
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"conversation_id": conversation_id,
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"messages": [{"role": role, "content": content}],
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}
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if temperature is not None:
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payload["temperature"] = temperature
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if max_tokens is not None:
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payload["max_tokens"] = max_tokens
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resp = self.client.post("/v1/conversations/completions", json=payload)
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resp.raise_for_status()
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data = resp.json()
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# Extract assistant message from choices
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choices = data.get("choices", [])
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assistant_content = ""
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if choices:
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msg = choices[0].get("message", {})
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assistant_content = msg.get("content", "")
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return MessageResponse(
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conversation_id=conversation_id,
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content=assistant_content,
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role="assistant",
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usage=data.get("usage", {}),
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model=data.get("model", ""),
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raw=data,
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)
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def list_conversations(
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self,
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agent_id: Optional[str] = None,
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agent_name: Optional[str] = None,
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limit: int = 20,
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offset: int = 0,
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) -> List[ConversationInfo]:
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"""
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List existing conversations, optionally filtered by agent.
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Args:
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agent_id: Filter by agent ID.
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agent_name: Filter by agent name from registry.
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limit: Max results per page.
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offset: Pagination offset.
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Returns:
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List of ConversationInfo.
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"""
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params: Dict[str, Any] = {"limit": limit, "offset": offset}
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resolved_id = agent_id or AGENT_IDS.get(agent_name or "", "")
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if resolved_id:
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params["agent_id"] = resolved_id
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resp = self.client.get("/v1/conversations", params=params)
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resp.raise_for_status()
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data = resp.json()
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conversations = []
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for item in data.get("data", data.get("conversations", [])):
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conversations.append(ConversationInfo(
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id=item.get("id", ""),
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agent_id=item.get("agent_id", ""),
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created_at=item.get("created_at", ""),
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status=item.get("status", "active"),
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metadata=item.get("metadata", {}),
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))
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return conversations
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# -- Deprecated endpoint (fallback) --
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def send_message_deprecated(
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self,
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agent_id: Optional[str] = None,
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agent_name: Optional[str] = None,
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messages: Optional[List[Dict[str, str]]] = None,
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*,
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temperature: Optional[float] = None,
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max_tokens: Optional[int] = None,
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) -> MessageResponse:
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"""
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Fallback to deprecated /v1/agents/completions endpoint.
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Stateless — no conversation persistence.
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Args:
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agent_id: Direct agent ID.
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agent_name: Agent name from registry.
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messages: List of {"role": ..., "content": ...} dicts.
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temperature: Override temperature.
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max_tokens: Override max tokens.
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Returns:
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MessageResponse.
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"""
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resolved_id = agent_id or AGENT_IDS.get(agent_name or "", "")
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if not resolved_id:
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raise ValueError(f"No agent_id for '{agent_name}'")
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payload: Dict[str, Any] = {
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"agent_id": resolved_id,
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"messages": messages or [],
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}
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if temperature is not None:
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payload["temperature"] = temperature
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if max_tokens is not None:
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payload["max_tokens"] = max_tokens
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resp = self.client.post("/v1/agents/completions", json=payload)
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resp.raise_for_status()
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data = resp.json()
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choices = data.get("choices", [])
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assistant_content = ""
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if choices:
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msg = choices[0].get("message", {})
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assistant_content = msg.get("content", "")
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return MessageResponse(
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content=assistant_content,
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role="assistant",
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usage=data.get("usage", {}),
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model=data.get("model", ""),
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raw=data,
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)
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# -- Convenience shortcuts --
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def chat(
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self,
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agent_name: str,
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message: str,
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*,
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conversation_id: Optional[str] = None,
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temperature: Optional[float] = None,
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max_tokens: Optional[int] = None,
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) -> MessageResponse:
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"""
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High-level chat: creates conversation if needed, sends message.
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Compatible with mistral_agents_tui.sh call pattern.
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"""
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if conversation_id is None:
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conv = self.create_conversation(agent_name=agent_name)
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conversation_id = conv.id
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return self.send_message(
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conversation_id,
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message,
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temperature=temperature,
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max_tokens=max_tokens,
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)
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def health_check(self) -> Dict[str, Any]:
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"""
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Ping all registered agents via the Beta API.
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Returns dict with agent_name -> {"status": "ok"|"error", ...}.
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"""
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results: Dict[str, Any] = {}
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for name, agent_id in AGENT_IDS.items():
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try:
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conv = self.create_conversation(agent_id=agent_id)
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results[name] = {
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"status": "ok",
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"agent_id": agent_id,
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"conversation_id": conv.id,
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}
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except Exception as e:
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results[name] = {
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"status": "error",
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"agent_id": agent_id,
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"error": str(e),
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}
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return results
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# -- TUI compatibility --
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def format_for_tui(self, response: MessageResponse) -> str:
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"""Format a response for TUI display (compatible with mistral_agents_tui.sh)."""
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usage = response.usage
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tokens_in = usage.get("prompt_tokens", 0)
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tokens_out = usage.get("completion_tokens", 0)
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return (
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f"Model: {response.model}\n"
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f"Tokens: {tokens_in} in / {tokens_out} out\n"
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f"---\n"
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f"{response.content}"
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)
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# ---------------------------------------------------------------------------
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# CLI for testing
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# ---------------------------------------------------------------------------
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def _cli():
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import argparse
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import json
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parser = argparse.ArgumentParser(description="Mistral Beta API Client CLI")
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sub = parser.add_subparsers(dest="command")
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# health
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sub.add_parser("health", help="Check all agents")
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# chat
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chat_p = sub.add_parser("chat", help="Chat with an agent")
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chat_p.add_argument("agent", choices=list(AGENT_IDS.keys()))
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chat_p.add_argument("message", nargs="?", default="ping")
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# list
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list_p = sub.add_parser("list", help="List conversations")
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list_p.add_argument("--agent", choices=list(AGENT_IDS.keys()), default=None)
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args = parser.parse_args()
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client = MistralBetaClient()
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if args.command == "health":
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result = client.health_check()
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print(json.dumps(result, indent=2))
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elif args.command == "chat":
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resp = client.chat(args.agent, args.message)
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print(client.format_for_tui(resp))
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elif args.command == "list":
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convs = client.list_conversations(agent_name=args.agent)
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for c in convs:
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print(json.dumps(c.to_dict(), indent=2))
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else:
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parser.print_help()
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if __name__ == "__main__":
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_cli()
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