grok-4.3

Grok 4.3 xAI का latest agentic flagship, Microsoft Foundry catalog model id `grok-4.3` (learn.microsoft.com/azure/ai-foundry/foundry-models/concepts/models-sold-directly-by-azure)। CallMissed `"model": "grok-4.3"` `/v1/chat/completions` OpenAI-compatible API — OpenAI GPT models जैसा integration path, Azure infrastructure details model string expose नहीं।

Microsoft Grok 4.3 preview chat-completion model document: tool calling, text input/output, "Global standard" deployment regions across। Foundry table 200,000 input tokens, 8,192 output tokens deployments (Azure portal quota current verify)। xAI/Microsoft marketing agentic execution: improved instruction following, multi-step tool use, structured outputs, search/code execution/retrieval combine reasoning+actions workflows — functions call decide autonomous agents ideal।

Azure AI catalog always-on reasoning, large-context understanding, native function calling core (ai.azure.com/catalog/models/grok-4.3)। Teams OpenAI/Anthropic alternative reasoning style single CallMissed API key/billing envelope inside choose। Azure Direct sold — same credit-covered hosting Foundry first-party listings stack।

CallMissed pricing $3.50/M input, $15.00/M output — GPT-4.1 premium, frontier agent models competitive। Research agents, heavy tool use coding assistants, multiple APIs fan out orchestrators, intermediate steps cite analytics copilots use। Azure docs primary English — customer-facing multilingual deploy quality evaluate before।

Safety/compliance: Microsoft Grok models additional system safety prompting other Azure Direct vs recommend, Foundry model card production review (ai.azure.com/catalog/models/grok-4.3)। Azure hosting content filtering apply। Domain jailbreak resistance/refusal test।

Implementation: JSON schemas tools clearly define; Grok 4.3 reliable function calling aimed। Long agent traces stream। High-stakes actions human review even tool calling enabled। Previously OpenRouter `x-ai/grok-4.20` — `grok-4.3` CallMissed distinct Foundry deployment own context/pricing — model strings explicitly update, equivalence assume नहीं।

Agent design: Grok 4.3 tool-centric agents — narrow tools strict JSON (`search`, `fetch_url`, `run_sql`, `send_email_draft`) one mega-function नहीं। Model plan calls, server-side arguments validate before execute। Each tool invocation replay debugging log।

Foundry: Azure Grok 4.3 Global Standard, rate limits region model reference (TPM/RPM vary — Microsoft docs consult)। CallMissed quota abstract 429 heavy load; backoff queue।

Benchmark: xAI Grok 4.x instruction following/multi-step reliability earlier Grok vs marketing emphasize। Published marketing directional; own agent trajectories task success rate, tool error rate, human edit distance measure।

English-first multilingual: Azure card English primary। Hindi/other Indian languages quality Sarvam models CallMissed compare before commit — Grok code-switching chat fine, Indic benchmarks Sarvam tiers win many।

Cost control: $3.50/$15 per million tokens long agent traces add up। Tool results summarize before re-inject context। Rolling summaries conversation history prune।

Compliance: Microsoft explicitly Grok additional safety system prompts other Azure Direct vs — Foundry responsible AI guidance review, finance/health refusal test।

Legacy: OpenRouter `x-ai/grok-4.20` unrelated — CallMissed Foundry Grok integrations model strings explicitly update।

OpenAI-compatible recap: POST `https://api.callmissed.com/v1/chat/completions` Bearer `cm_*`, JSON `{ "model": "grok-4.3", "messages": [...], "tools": [...] }`। Responses `choices[0].message` optional `tool_calls` familiar pattern। Streaming SSE chunks OpenAI clients identical — `stream: true` OpenAI SDK। Structured outputs JSON validate after receipt; tool arguments server-side schema validation without execute नहीं।

Enterprise procurement: Grok CallMissed same xAI consumer Grok? Foundry-hosted weights/safety Microsoft Azure AI catalog follow, xAI.com chat snapshots necessarily identical नहीं — related distinct products benchmark workflows treat।

Observability: OpenTelemetry spans each completion/tool round-trip; Grok agent traces dozens LLM calls span। Aggregate `agent_success_rate`, `avg_tool_calls`, `p95_latency_ms`, `cost_usd_per_task`। Tool error rates spike alert — often API schema drift, model regression नहीं।

Roadmap-friendly: model id strings config isolate; bake-offs `grok-4.3` swap another agentic model code changes नहीं — config/eval harness only।