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Skillsdeepseek-v4.1-flash

deepseek-v4.1-flash

Agents & models

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Updated 10-15 21:41

About this skill

DeepSeek V4.1 Flash

Generate responses through Frevana's OpenRouter Responses API (POST /openrouter/v1/responses) using deepseek/deepseek-v4.1-flash.

Return the validated API response JSON unchanged, or use --text-only when the user requests only the final text output.

Model Characteristics

  • Model ID: deepseek/deepseek-v4.1-flash (DeepSeek V4.1 Flash model via OpenRouter).
  • Best suited for high-speed inference, rapid code drafting, high-throughput summarization, data extraction, and cost-effective conversational workflows.
  • For frontier reasoning or complex multi-turn architecture, consider anthropic/claude-opus-5 or gpt-5.6-sol. For balanced enterprise workflows, consider anthropic/claude-sonnet-5.

What This Skill Needs

  • input or prompt via --input or --input-file (or raw JSON payload via --raw-payload-file)
  • optional developer system instructions via --instructions or --instructions-file
  • optional reasoning effort: --reasoning-effort <low|medium|high>
  • optional sampling: --temperature, --top-p, --max-output-tokens
  • optional multi-turn conversation continuation: --previous-response-id
  • optional session persistence: --session-file or --session
  • optional tools: --tools or --tools-file, --tool-choice
  • optional service tier: --service-tier <auto|default|flex|priority>
  • authentication: FREVANA_TOKEN (or --token) / FREVANA_API_KEY (or --api-key)
  • optional attribution: FREVANA_AGENT_APP_INSTANCE_ID (or X_FREVANA_AGENT_APP_INSTANCE_ID, or --agent-app-instance-id) sent as x-frevana-agent-app-instance-id
  • curl, bash, and python3

Allowed Options

  • --model: deepseek/deepseek-v4.1-flash (default; aliases deepseek-v4.1-flash, deepseek-4.1-flash accepted)
  • --input, --prompt: user prompt string or JSON message array
  • --input-file: file path containing input prompt or JSON message array
  • --instructions: system developer instructions
  • --instructions-file: file path containing system instructions
  • --reasoning-effort: low, medium, high
  • --temperature: 0.0 - 2.0
  • --top-p: 0.0 - 1.0
  • --max-output-tokens: positive integer
  • --session: session name (e.g. default, chat1) saved under ~/.frevana/sessions
  • --session-file: path to session file to automatically save and restore conversation context across calls
  • --new-session, --new: reset conversation context and start a fresh session
  • --no-session: disable session persistence for this run
  • --previous-response-id: ID of a previous response for multi-turn conversations
  • --chat: start an interactive chat session in the terminal
  • --service-tier: auto, default, flex, priority
  • --tools: JSON array string defining available tools/functions
  • --tools-file: path to JSON file defining tools
  • --tool-choice: tool choice behavior (auto, required, none, or JSON)
  • --raw-payload-file: path to raw JSON request body
  • --api-key: Frevana API key (sent as X-API-Key)
  • --token: Frevana Bearer token (sent as Authorization: Bearer)
  • --agent-app-instance-id: Agent App instance/team ID (sent as x-frevana-agent-app-instance-id)
  • --text-only, -t: output only the response text
  • --output: save full response JSON to path

Commands

# Fast text completion or code generation
bash <skill-path>/scripts/create_response.sh \
  --input "Write a fast Python script to parse and aggregate access logs by status code" \
  --text-only

# Fast structured extraction with instructions
bash <skill-path>/scripts/create_response.sh \
  --input "Extract name, company, and email from: John Doe (Acme Corp) - john@acme.com" \
  --instructions "Return strict JSON with keys: name, company, email." \
  --output ./out/extraction.json

# Multi-turn conversation with automatic session persistence (Recommended)
bash <skill-path>/scripts/create_response.sh \
  --session-file ./out/deepseek_session.json \
  --input "Let's design a high-throughput cache cluster" \
  --text-only

bash <skill-path>/scripts/create_response.sh \
  --session-file ./out/deepseek_session.json \
  --input "How should we handle cache invalidation?" \
  --text-only

# Multi-turn conversation by previous response ID
bash <skill-path>/scripts/create_response.sh \
  --input "What about Redis Sentinel vs Cluster mode?" \
  --previous-response-id "resp_abc123" \
  --text-only

# Interactive terminal chat
bash <skill-path>/scripts/create_response.sh --chat