chore: Release 1.5.5

[kausmeows]

Changelog

New Features:

• Claude File Upload: we can now upload a file to Anthropic directly and then use it as an input to an agent.
• Claude 4 code execution tool: allows Claude to execute Python code in a secure, sandboxed environment.
• Prompt caching with Anthropic models: allows resuming from specific prefixes in your prompts. This approach significantly reduces processing time and costs for repetitive tasks or prompts with consistent elements.
• Vercel v0 Model: Added support for new Vercel v0 models and cookbook examples.
• Qdrant Hybrid Search support
• Markdown Knowledge Base: Added native support for Markdown-based knowledge bases.
• AI/ML API platform integration: introduces integration with AI/ML API, a platform providing AI/ML models. AI/ML API provides 300+ AI models including Deepseek, Gemini, ChatGPT. The models run at enterprise-grade rate limits and uptimes
• Update pydantic and dataclass in function handling: Now supports class as input to a function

Improvements:

• Timeout handling for API calls in ExaTools class:
  • Timeout functionality to Exa API calls to prevent indefinite hanging of search operations. The implementation uses Python's concurrent.futures module to enforce timeouts on all Exa API operations (search, get contents, find similar, and answer generation).
  • This change addresses the issue where Exa search functions would hang indefinitely, causing potential service disruptions and resource leaks.
• Fetch messages from last n sessions:
  • A tool for the agent, something like get_previous_session_messages(number_of_sessions: int) that returns a list of messages that the agent can analyse
  • Switch on with search_previous_sessions_history
• Redis Expiration: Added expire key to set TTL on Redis keys.
•  Add anthropic cache write to agent session metrics: adds cache_creation_input_tokens to agent session metrics, to allow for tracking Anthropic cache write statistics

Bug Fixes:

• HF custom embedder:
  • It turns out that HF has changed some things on their API and they've deprecated .post on their InferenceClient()- https://discuss.huggingface.co/t/getting-error-attributeerror-inferenceclient-object-has-no-attribute-post/156682
  • Also we can no longer use- id: str = "jinaai/jina-embeddings-v2-base-code" as default, because these models are no longer provided by the HF Inference API. Changed the default to- id: str = "intfloat/multilingual-e5-large"
• Add role_map for OpenAIChat: This allows certain models that don’t adhere to OpenAI’s role mapping to be used vir OpenAILike.
• Use content hash as id in upsert: in pgvector use reproducible content_hash in upsert as id
• Insert in vector db passes only last chunk meta_data: insert in vector db passes only last chunk meta_data. issue link- https://discord.com/channels/965734768803192842/1219054452221153463/1376631140047130649
• Remove argument sanitization: a safer way to do this that won't break arguments that shouldn't be sanitized
• Handle async tools when running async agents on playground: Fixes a regression where using Agents with async tools (e.g. MCP tools) was breaking in the Playground.