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187 results for “OpenAI”
… and triages results. Supported provider drivers include OpenAI-compatible endpoints, OpenAI, Anthropic, Vertex, and OAuth variants. The architecture boundary matters too. According to Help Net Security, anything that …
… calls go to the LLM providers the user configures, such as OpenAI, Anthropic, Gemini, Groq, Cerebras, Ollama, or OpenAI-compatible endpoints. That does not automatically solve cost or privacy, but it makes both more …
… sources. The community edition can run with a user's own OpenAI, Anthropic, Gemini, Groq, or Azure OpenAI access. Ollama allows local model execution. This does not automatically make Vaquill confidential or legally …
… evasion. According to its documentation, Augustus supports OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Ollama, LiteLLM, NVIDIA services, and custom REST endpoints, among others. Teams can select individual …
… the toolkit connects to a multimodal API. It supports OpenAI-compatible Chat Completions and Responses endpoints as well as the Anthropic Messages protocol. Users store a base URL, model name, and API key locally. An …
… Users connect their own models: the application supports OpenAI-compatible interfaces and Anthropic models, while Codex and Claude Code can be controlled through ACP. Python and R kernels persist across individual steps. …
… new facts in the default setup, however, uses an OpenAI key; the documentation describes the components as replaceable. The package is licensed under Apache 2.0 and can be installed with pip install voicemem. Why it …
… such as Playwright, Puppeteer, Stagehand, Browser Use, OpenAI Agents or Claude Computer Use. So the tool is not another chat interface. It is a layer underneath the agent: the agent decides what it wants to do; Steel …
… hardware a model needs, what engine should run, and what OpenAI-compatible endpoint should exist. The control plane then handles placement, routing, autoscaling, provisioning, and model-weight caching. According to the …
… framework for YAML-driven workflows. It uses the OpenAI Agents SDK, Pydantic for validation, and Jinja2 for templates. In practice, a team defines steps, roles, and inputs as a repeatable process, not just a free-form …
