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Telnyx Email Suppressions - curl · team-telnyx | DecimalAI

Marketingby team-telnyx

Telnyx Email Suppressions - curl

Manage email suppressions (blocks), import and export suppression lists, and manage unsubscribe groups.

Never made a case worseMaintained

SkillScore

SkillScore100/100

Test results 100

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

32%100%of test cases passed +68 pts

Without skill7 of 22

With skill22 of 22

15 fixed7 passed either way0 still failing0 broke

Measured on gemini-3.6-flash9/2/2026v1

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskI need to update the description of an existing Telnyx email unsubscribe group with ID group-456 using cURL. Should I send a PUT request to replace the group or a PATCH request? Show the appropriate HTTP call.

Without the skillMissed

With the skillPassed

Same model, same task. Answers are capped and redacted.

Use this skill

Your agent runs on

Adds every file the skill has, pinned so you can update it. No account needed.

pip install "decimalai>=0.15"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

The same install from Python, for a notebook or a setup script.

Install

pip install "decimalai>=0.15"

Add the skill

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

print("Added. Start Claude Code with the command below.")

Start Claude Code with it

claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

Type these in a Claude Code session. No account or API key. It writes the skill and any files it bundles, and asks first when its safety rating isn't Passed.

Add the DecimalAI plugin, once

/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai

Install this skill

/decimalai:install team-telnyx-telnyx-email-suppressions-curl

The plugin needs python3 and curl on your machine.

No Python or account. Claude Code picks it up in its next session.

Save it into your project

curl -fsSL --create-dirs -o .claude/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md https://app.decimal.ai/s/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Claude Code docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
options = ClaudeAgentOptions(system_prompt=f"You are a helpful agent.\n\n{skill}", max_turns=6)

async def main():
    async for message in query(prompt="Hello!", options=options):
        print(message)

# In a notebook or async code: await main()
asyncio.run(main())

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Claude Agent SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai-agents]"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

Install

pip install "decimalai[openai-agents]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
agent = Agent(name="support", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

OpenAI Agents docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai]"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

Install

pip install "decimalai[openai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
reply = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[
        {"role": "system", "content": f"You are a helpful agent.\n\n{skill}"},
        {"role": "user", "content": "Hello!"},
    ],
).choices[0].message

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

OpenAI SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[anthropic]"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

Install

pip install "decimalai[anthropic]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
reply = client.messages.create(
    model="claude-haiku-5-5",
    max_tokens=4096,
    system=f"You are a helpful agent.\n\n{skill}",
    messages=[{"role": "user", "content": "Hello!"}],
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Anthropic docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[google-genai]"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

Install

pip install "decimalai[google-genai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from google import genai
from google.genai import types

client = genai.Client()
skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Hello!",
    config=types.GenerateContentConfig(system_instruction=f"You are a helpful agent.\n\n{skill}"),
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Gemini API docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[langchain]" langchain-openai
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

Install

pip install "decimalai[langchain]" langchain-openai

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
agent = create_agent("openai:gpt-5.4-mini", tools=[], system_prompt=f"You are a helpful agent.\n\n{skill}")
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

LangChain docs

CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

The same install from Python, for a notebook or a setup script. CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

No DecimalAI package. CrewAI's own loader reads the folder, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                         # your own CrewAI LLM
    skills=[Path(".agents/skills")],
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

CrewAI docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[adk]"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

Install

pip install "decimalai[adk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from google.adk.agents import LlmAgent

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
agent = LlmAgent(
    name="support",
    model="gemini-3.5-flash",
    instruction=lambda context: f"You are a helpful agent.\n\n{skill}",
)

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Google ADK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[pydantic-ai]"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

Install

pip install "decimalai[pydantic-ai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
agent = Agent("openai:gpt-4o-mini", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Pydantic AI docs

Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

The same install from Python, for a notebook or a setup script. Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
agent = create_deep_agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Deep Agents docs

Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
agent = Agent(client=client, instructions=f"You are a helpful agent.\n\n{skill}")
asyncio.run(agent.run("Hello!"))

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Microsoft Agent Framework docs

Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

Add it to your agent

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("team-telnyx-telnyx-email-suppressions-curl")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md").read_text()
agent = Agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent("Hello!")

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Strands docs

Adds every file the skill has, pinned so you can update it. Cursor, Copilot, Cline and Warp read this folder by themselves.

pip install "decimalai>=0.15"
decimalai skills add team-telnyx-telnyx-email-suppressions-curl

No Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.

Save it into your project

curl -fsSL --create-dirs -o .agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md https://app.decimal.ai/s/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Cursor and other editors docs

Fetch the file and give its text to your model as instructions. No account or package needed.

Get the file

curl -fsSL https://app.decimal.ai/s/team-telnyx-telnyx-email-suppressions-curl/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/team-telnyx-telnyx-email-suppressions-curl.json

This gets SKILL.md only. The skill's 1 other file is not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v1, tested 9/2/2026
Source: team-telnyx/ai ↗
License: MIT

Manage it in DecimalAI

Saved prompts and skills, pinned versions, and traces of this skill in your runs. DecimalAI does not run your agent.

Claude Code reads files from your project, so DecimalAI config does not apply there.

On Claude Agent SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI Agents: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Anthropic: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Gemini API: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On LangChain: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On CrewAI: set DECIMAL_API_KEY and add decimalai.init(crewai=True) to record runs and skill use. The skill version stays in your repo.

On Google ADK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Pydantic AI: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Deep Agents: set DECIMAL_API_KEY and add decimalai.init(langchain=True) to record runs and skill use. The skill version stays in your repo.

On Microsoft Agent Framework: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

On Strands: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

Editors read files from your project, so DecimalAI config does not apply there.

Anywhere else: record a use with decimalai.log_skill_activation() inside a trace.

Use this skill

SKILL.md

Telnyx Email Suppressions - curl

Installation

# curl is pre-installed on macOS, Linux, and Windows 10+
# jq is required for the import polling examples below:
#   macOS: brew install jq
#   Debian/Ubuntu: sudo apt-get install jq

Setup

export TELNYX_API_KEY="YOUR_API_KEY_HERE"

All examples below use $TELNYX_API_KEY for authentication and the API base URL https://api.telnyx.com/v2.

Error Handling

All API calls can fail with network errors, authentication errors (401), or framework errors (406). List-query validation failures return 400, resource lookups can return 404, and JSON body validation failures normally return 422. Inspect the HTTP status and the top-level .errors array before continuing:

response_file=$(mktemp)
status=$(curl --silent --show-error \
  --output "$response_file" \
  --write-out '%{http_code}' \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "https://api.telnyx.com/v2/email_blocks")

if [ "$status" -lt 200 ] || [ "$status" -ge 300 ]; then
  printf 'Telnyx API error (HTTP %s):\n' "$status" >&2
  jq . "$response_file" >&2
  rm -f "$response_file"
  exit 1
fi
jq . "$response_file"
rm -f "$response_file"

Common statuses are 400 malformed query or import, 401 invalid API key, 404 resource not found, 409 group still has active suppressions, 413 import too large, and 422 invalid request attributes. A successful delete may return 204 No Content; do not attempt to parse that response as JSON.

Important Notes

Account isolation: Every lookup is scoped to the authenticated account. A malformed UUID or a UUID owned by another account is reported as 404.
Normalized addresses: Recipient addresses are trimmed and lower-cased. The from address on a manual block is also normalized.
Pagination: Most list operations use page[number] and page[size] (maximum 100). The main block list also supports opaque cursors. Do not combine offset and cursor modes.
URL encoding: Percent-encode an email address placed in a URL path. For example, use alice%40example.com, not an untrusted raw string.
Idempotency: Creating a block or adding a group suppression returns 200 when the matching suppression already exists and 201 when a row is created.

Operational Caveats

POST /v2/email_blocks always creates reason: manual_block with source: manual. Customers cannot use this endpoint to create hard_bounce, spam_complaint, or invalid suppressions; caller-supplied reason and source are ignored.
Scope is server-derived as account, domain, or address, never customer-set: no domain_id and no from gives account; domain_id without from gives domain; a from address gives address scope.
unsubscribe and manual_block are overridable at send time with ignore_suppression: true. hard_bounce, spam_complaint, and invalid are not overridable. Bypassing an overridable suppression should be deliberate and auditable.
Import is asynchronous. POST /v2/email_blocks/import returns 202 and a job ID; poll GET /v2/email_blocks/import/{id} until completed or failed. Import behavior for scoped suppressions may vary. Check the import result for the actual scope assigned.
Export is synchronous and streams CSV directly. It does not create a job.
Deleting a block is a soft delete: the row remains as a tombstone with status: removed. Recreating the same removed suppression reactivates it.
The expires_at field is available for setting an expiration timestamp on suppressions.
Check both error_count and skipped_count in the import response for rejected entries.
A group suppression prevents sending to that address for every campaign that uses the unsubscribe group. It is not an account-wide unsubscribe for campaigns that do not use that group.

Reference Use Rules

Do not invent Telnyx parameters, enums, response fields, import counters, or CSV columns.

Read references/api-details.md before building pagination, bulk migration, or delete automation.
Before deciding whether a send may bypass a block, read suppression semantics.
Before importing an exported list, read CSV export and import and verify the scope assigned by the import result.
For exhaustive request fields, response fields, status codes, and operation IDs, use the operation catalog and response schemas.

Core Tasks

List suppressions

Use offset pagination for page-oriented tools or cursor pagination for sequential traversal without page-number offsets.

GET /v2/email_blocks

Parameter	Type	Required	Description
`page[number]`	integer	No	Offset page, default 1. Do not combine with a cursor.
`page[size]`	integer	No	1-100, default 25.
`page[after]`	string	No	Opaque next-page cursor. Exclusive with `page[number]` and `page[before]`.
`page[before]`	string	No	Opaque previous-page cursor. Exclusive with `page[number]` and `page[after]`.
`sort`	enum	No	`created_at` or `-created_at` (default).
`filter[reason]`	enum	No	Exact reason match.
`filter[domain_id]`	UUID	No	Exact domain ID match.
`filter[created_after]`	date-time	No	Match `created_at > value`.
`filter[created_before]`	date-time	No	Match `created_at < value`.

curl --get --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page[size]=100' \
  --data-urlencode 'filter[reason]=hard_bounce' \
  --data-urlencode 'sort=-created_at' \
  "https://api.telnyx.com/v2/email_blocks"

Offset responses expose .meta.total_pages; cursor responses expose .meta.has_next and, when another page exists, .meta.next_cursor. Pass the returned cursor unchanged.

Create a manual suppression

POST /v2/email_blocks

Parameter	Type	Required	Description
`to`	string	Yes	Recipient address; trimmed and lower-cased by the server.
`domain_id`	UUID or null	No	Domain context; omit/null for account scope.
`from`	string or null	No	Sender context; a value produces address scope.
`expires_at`	date-time or null	No	Expiration timestamp for the suppression.

curl --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "to": "[email protected]"
  }' \
  "https://api.telnyx.com/v2/email_blocks"

The response is .data with forced reason: manual_block, source: manual, a server-derived scope, and status: active. Do not send scope, group_id, bounce_category, dsn_code, or meta to this public operation.

Export suppressions as CSV

GET /v2/email_blocks/export

curl --get --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Accept: text/csv" \
  --data-urlencode 'filter[created_after]=2026-01-01T00:00:00Z' \
  --output email_blocks_export.csv \
  "https://api.telnyx.com/v2/email_blocks/export"

The 200 response is the CSV stream itself. Filters supported by the list endpoint affect export. Although sort and page[*] are parsed and invalid values can return 400, valid values are ignored; export always streams every matching row ordered by created_at ASC, id ASC.

Start an asynchronous CSV import

POST /v2/email_blocks/import

curl --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Accept: application/json" \
  -F 'file=@email_blocks.csv;type=text/csv' \
  -F 'block_ttl_days=30' \
  "https://api.telnyx.com/v2/email_blocks/import"

A valid request returns 202 with .data.id and .data.status equal to pending. CSV content may not exceed 25 MiB or 250,000 rows. Provider format is auto-detected as sendgrid, mailgun, ses, or generic. block_ttl_days applies only to imported manual_block rows.

Poll an import job

GET /v2/email_blocks/import/{id}

IMPORT_ID="00000000-0000-0000-0000-000000000000"

while :; do
  body=$(curl --silent --show-error \
    -H "Authorization: Bearer $TELNYX_API_KEY" \
    "https://api.telnyx.com/v2/email_blocks/import/$IMPORT_ID") || exit 1
  state=$(printf '%s' "$body" | jq -r '.data.status')
  printf 'import status: %s\n' "$state"
  case "$state" in
    completed)
      printf '%s' "$body" | jq '.data | {
        processed_rows, created_count, existing_count,
        skipped_count, error_count, errors
      }'
      break
      ;;
    failed)
      printf '%s' "$body" | jq '.data | {status, failure_reason}' >&2
      exit 1
      ;;
    pending|processing) sleep 2 ;;
    *) printf 'unexpected import status: %s\n' "$state" >&2; exit 1 ;;
  esac
done

Completion counters are omitted until status is completed; failure_reason is only present on failure. Check both error_count and skipped_count in the import response for rejected entries, and inspect errors when present.

Retrieve a suppression

GET /v2/email_blocks/{id}

BLOCK_ID="00000000-0000-0000-0000-000000000000"
curl --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "https://api.telnyx.com/v2/email_blocks/$BLOCK_ID"

Primary response fields are .data.id, .data.to, .data.from, .data.domain_id, .data.group_id, .data.reason, .data.source, .data.scope, .data.status, .data.expires_at, .data.created_at, and .data.updated_at.

Soft-delete a suppression

DELETE /v2/email_blocks/{id}

BLOCK_ID="00000000-0000-0000-0000-000000000000"
curl --silent --show-error \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "https://api.telnyx.com/v2/email_blocks/$BLOCK_ID"

This returns 200 with the tombstone in .data; verify .data.status == "removed". Repeating the delete is idempotent and does not append another audit event.

List a suppression's audit events

GET /v2/email_blocks/{id}/events

BLOCK_ID="00000000-0000-0000-0000-000000000000"
curl --get --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page[number]=1' \
  --data-urlencode 'page[size]=50' \
  "https://api.telnyx.com/v2/email_blocks/$BLOCK_ID/events"

Events are newest first and can be created, removed, expired, or override_used. This endpoint has offset pagination only and a default page size of 50; it has no filters, sort, or cursor parameters.

List unsubscribe groups

GET /v2/email_unsubscribe_groups

curl --get --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page[number]=1' \
  --data-urlencode 'page[size]=25' \
  "https://api.telnyx.com/v2/email_unsubscribe_groups"

Groups use offset pagination only and fixed newest-first ordering.

Create an unsubscribe group

POST /v2/email_unsubscribe_groups

curl --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Product announcements",
    "description": "Optional opt-out category for product email"
  }' \
  "https://api.telnyx.com/v2/email_unsubscribe_groups"

name is required, non-empty, and at most 255 characters. A successful create returns 201 and the group in .data.

Retrieve an unsubscribe group

GET /v2/email_unsubscribe_groups/{id}

GROUP_ID="00000000-0000-0000-0000-000000000000"
curl --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "https://api.telnyx.com/v2/email_unsubscribe_groups/$GROUP_ID"

Update an unsubscribe group

Only name and description are mutable. This is a partial update; PUT is not routed.

PATCH /v2/email_unsubscribe_groups/{id}

GROUP_ID="00000000-0000-0000-0000-000000000000"
curl --silent --show-error \
  -X PATCH \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "description": "Announcements and release notes"
  }' \
  "https://api.telnyx.com/v2/email_unsubscribe_groups/$GROUP_ID"

Delete an unsubscribe group

DELETE /v2/email_unsubscribe_groups/{id}

GROUP_ID="00000000-0000-0000-0000-000000000000"
curl --silent --show-error \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "https://api.telnyx.com/v2/email_unsubscribe_groups/$GROUP_ID"

A successful delete returns 204. If active group suppressions remain, the request returns 409. Either remove them first or deliberately force the delete:

curl --get --silent --show-error \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'force=true' \
  "https://api.telnyx.com/v2/email_unsubscribe_groups/$GROUP_ID"

force=true soft-deletes active group suppressions, clears their group links, appends removal events, and then hard-deletes the group in one transaction.

List suppressions in a group

GET /v2/email_unsubscribe_groups/{id}/suppressions

GROUP_ID="00000000-0000-0000-0000-000000000000"
curl --get --silent --show-error \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  --data-urlencode 'page[number]=1' \
  --data-urlencode 'page[size]=100' \
  "https://api.telnyx.com/v2/email_unsubscribe_groups/$GROUP_ID/suppressions"

Rows use the standard email-block shape with .group_id set to this group. This list supports offset pagination only; no filters, sort, or cursor.

Add a group suppression

POST /v2/email_unsubscribe_groups/{id}/suppressions

GROUP_ID="00000000-0000-0000-0000-000000000000"
curl --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "to": "[email protected]"
  }' \
  "https://api.telnyx.com/v2/email_unsubscribe_groups/$GROUP_ID/suppressions"

Only to is read. The server forces reason: unsubscribe, source: manual, and this group's group_id. A duplicate is idempotent and returns 200.

Remove a group suppression

DELETE /v2/email_unsubscribe_groups/{id}/suppressions/{email}

GROUP_ID="00000000-0000-0000-0000-000000000000"
# The email path segment is percent-encoded.
EMAIL_PATH="subscriber%40example.com"
curl --silent --show-error \
  -X DELETE \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  "https://api.telnyx.com/v2/email_unsubscribe_groups/$GROUP_ID/suppressions/$EMAIL_PATH"

A successful removal returns 204 and soft-deletes every active matching row for the normalized address in that group. A repeat returns 404 because no active matching group suppression remains.

Webhooks

Email webhooks are configured at the domain level, not on an individual suppression. Create a subscription with POST /email_domains/{id}/webhooks using the https://api.telnyx.com/v2 base URL. The suppression-related event names in the current OpenAPI EmailWebhookEvent enum are:

Event	Use in a suppression workflow
`email.bounced`	Process a bounced-delivery outcome.
`email.failed`	Process a terminal delivery failure.
`email.complained`	Process a recipient complaint.
`email.unsubscribed`	Process a recipient unsubscribe action.

DOMAIN_ID="00000000-0000-0000-0000-000000000000"
curl --silent --show-error \
  -X POST \
  -H "Authorization: Bearer $TELNYX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/webhooks/email",
    "events": ["email.bounced", "email.failed", "email.complained", "email.unsubscribed"]
  }' \
  "https://api.telnyx.com/v2/email_domains/$DOMAIN_ID/webhooks"

Verify signatures before parsing

Telnyx signs webhook requests with Ed25519. Read the telnyx-signature-ed25519 and telnyx-timestamp headers, and retain the exact raw request body bytes. Do not parse or re-serialize the JSON before verification.

Reject a missing or malformed timestamp, signature, or body.
Reject a timestamp more than 5 minutes outside the server clock.
Verify the Ed25519 signature over telnyx-timestamp + "|" + raw_body with the Telnyx public key. Ed25519 verification is not HMAC validation.
Parse the JSON only after the signature and timestamp are valid.

Deduplicate and acknowledge quickly

Deduplicate by event ID with an atomic uniqueness check before applying side effects. Treat an already-seen event as successfully handled.
Enqueue slow work and return a 2xx response within 10 seconds.
Telnyx retries on timeout or non-2xx. Keep your endpoint idempotent.

Additional Operations

Use the core tasks above first. All 16 reachable suppression and unsubscribe group operations are indexed here with their exact HTTP endpoints. Use references/api-details.md for full optional parameters, response schemas, status codes, and operation IDs.

Operation	SDK method	Endpoint	Use when	Required params
List suppressions	HTTP only	`GET /email_blocks`	Inspect suppressions or select a block before another action.	None
Create a manual suppression	HTTP only	`POST /email_blocks`	Add a manual recipient suppression.	`to`
Export suppressions as CSV	HTTP only	`GET /email_blocks/export`	Download matching suppressions as CSV.	None
Start a CSV import	HTTP only	`POST /email_blocks/import`	Upload suppressions for asynchronous import.	`file`
Poll an import job	HTTP only	`GET /email_blocks/import/{id}`	Check whether an asynchronous import completed or failed.	`id`
Retrieve a suppression	HTTP only	`GET /email_blocks/{id}`	Fetch one suppression by ID.	`id`
Soft-delete a suppression	HTTP only	`DELETE /email_blocks/{id}`	Remove an existing suppression.	`id`
List suppression audit events	HTTP only	`GET /email_blocks/{id}/events`	Inspect the history of one suppression.	`id`
List unsubscribe groups	HTTP only	`GET /email_unsubscribe_groups`	Inspect available unsubscribe groups.	None
Create an unsubscribe group	HTTP only	`POST /email_unsubscribe_groups`	Create a campaign-level unsubscribe category.	`name`
Retrieve an unsubscribe group	HTTP only	`GET /email_unsubscribe_groups/{id}`	Fetch one unsubscribe group by ID.	`id`
Update an unsubscribe group	HTTP only	`PATCH /email_unsubscribe_groups/{id}`	Change a group's name or description.	`id`
Delete an unsubscribe group	HTTP only	`DELETE /email_unsubscribe_groups/{id}`	Remove an unsubscribe group.	`id`
List group suppressions	HTTP only	`GET /email_unsubscribe_groups/{id}/suppressions`	Inspect recipients suppressed in one group.	`id`
Add a group suppression	HTTP only	`POST /email_unsubscribe_groups/{id}/suppressions`	Suppress a recipient in one unsubscribe group.	`id`, `to`
Remove a group suppression	HTTP only	`DELETE /email_unsubscribe_groups/{id}/suppressions/{email}`	Remove a recipient suppression from one group.	`id`, `email`

For exhaustive parameter behavior, CSV columns and limitations, response schemas, status codes, and operation IDs, see references/api-details.md.

When it activates

Automatically, when a task matches. Use for deliverability compliance and bounce handling.

About this skill

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Source

Imported

team-telnyx / ai

skills/telnyx-email-suppressions-curl/SKILL.md

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License MITImported 8/10/2026Version v1Bundled 1 file

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Telnyx Email Suppressions - curl

Installation

Setup

Error Handling

Important Notes

Operational Caveats

Reference Use Rules

Core Tasks

List suppressions

Create a manual suppression

Export suppressions as CSV

Start an asynchronous CSV import

Poll an import job

Retrieve a suppression

Soft-delete a suppression

List a suppression's audit events

List unsubscribe groups

Create an unsubscribe group

Retrieve an unsubscribe group

Update an unsubscribe group

Delete an unsubscribe group

List suppressions in a group

Add a group suppression

Remove a group suppression

Webhooks

Verify signatures before parsing

Deduplicate and acknowledge quickly

Additional Operations

When it activates

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Source

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