Cobuddy

LLM
Baidu

Cobuddy is a code generation model from Baidu built for coding tasks and AI agent workflows. It supports tool calling and reasoning, offers a 131K token context window with up to 66K output tokens, and targets low latency performance.

Context tokens

131,072

Output tokens

66,000

Released

Jun 3, 2026

Capabilities

Tool use
Structured output
Thinking

Supported tools

  • Seclai Content Tools

    Inspect source documents connected to your account. Includes tools for loading full content, reading character ranges, searching within documents, viewing stats, and listing available content sources. When a source_connection_content_version_id is provided in agent run metadata it is used as the default. Otherwise the model can discover content via list_content_sources.

  • Seclai Knowledge Base

    Search your knowledge bases using semantic similarity. Includes search_knowledge_base and list_knowledge_bases. When a knowledge_base_id is provided in the prompt or agent run metadata it is used as the default. Otherwise the model can discover available knowledge bases at runtime.

  • Seclai Memory Banks

    Manage persistent memory across agent runs. Includes tools for listing memory banks, writing entries, searching memory via semantic similarity, and loading entries in chronological order. Supports two memory types: 'conversation' (speaker-attributed turns) and 'general' (freeform text). Use key to organize entries by topic, session, or user.

Pricing

TypeCreditsUnits
Input3.724Credits per 1k tokens
Output15.029Credits per 1k tokens
Cache hit0.931Credits per 1k tokens

Variants

No variants available for this model.

Try This Model

Write a prompt and experiment with Cobuddy in the model experiments page. You can compare it with other models side by side.