From 235576464e6dfa6e805cd43a57c66be93d38c37a Mon Sep 17 00:00:00 2001 From: Mark Sze <66362098+marklysze@users.noreply.github.com> Date: Sun, 2 Feb 2025 05:14:37 +1100 Subject: [PATCH 1/9] [Docs] Correct blog link in Browsing Capabilities blog (#750) * Correct blog link in Browsing Capabilities blog * Remove slash --- website/_blogs/2025-01-31-Websurfing-Tools/index.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/_blogs/2025-01-31-Websurfing-Tools/index.mdx b/website/_blogs/2025-01-31-Websurfing-Tools/index.mdx index 3e855bd3a8..d34e65b00a 100644 --- a/website/_blogs/2025-01-31-Websurfing-Tools/index.mdx +++ b/website/_blogs/2025-01-31-Websurfing-Tools/index.mdx @@ -32,7 +32,7 @@ tags: [tools, tool calling, web surfing, browser use, crawl4ai] ## Introduction -Previously, in our [Cross-Framework LLM Tool Integration](/blog/2024-12-20-Tools-interoperability) guide, we combined tools from frameworks like **LangChain**, **CrewAI**, and **PydanticAI** to enhance AG2. +Previously, in our [Cross-Framework LLM Tool Integration](/docs/blog/2024-12-20-Tools-interoperability) guide, we combined tools from frameworks like **LangChain**, **CrewAI**, and **PydanticAI** to enhance AG2. Now, we’re taking AG2 even further by integrating [`Browser Use`](https://github.com/browser-use/browser-use) and [`Crawl4AI`](https://github.com/unclecode/crawl4ai), enabling agents to navigate websites, extract dynamic content, and interact with web pages. This unlocks new possibilities for automated data collection, web automation, and more. ![Browser Use Example](/docs/use-cases/reference-agents/assets/websurferagent_animated.gif) From 4c641e6da78d7d49688032af4e87871f02210dbd Mon Sep 17 00:00:00 2001 From: Harish Mohan Raj Date: Mon, 3 Feb 2025 13:35:01 +0530 Subject: [PATCH 2/9] Fix color in dark mode (#737) --- website/mint-style.css | 1 - 1 file changed, 1 deletion(-) diff --git a/website/mint-style.css b/website/mint-style.css index 80558fede0..654cb7180e 100644 --- a/website/mint-style.css +++ b/website/mint-style.css @@ -424,7 +424,6 @@ a.colab-badge > img, a.github-badge > img { text-align: center; } .popular-resources .youtube-video a { - color: #000; display: block; --font-family-headings-custom: "Jersey 10" !important; font-family: var( From 8f0be1c3f25772a3c0e15bd72c26b848552268af Mon Sep 17 00:00:00 2001 From: Harish Mohan Raj Date: Mon, 3 Feb 2025 13:46:52 +0530 Subject: [PATCH 3/9] Update mintlify version (#761) --- website/package-lock.json | 19741 +++++++++++++++++++++--------------- website/package.json | 2 +- 2 files changed, 11740 insertions(+), 8003 deletions(-) diff --git a/website/package-lock.json b/website/package-lock.json index 89c67778b9..ee304755a9 100644 --- a/website/package-lock.json +++ b/website/package-lock.json @@ -1,7 +1,7 @@ { "name": "website", "version": "0.0.0", - "lockfileVersion": 3, + "lockfileVersion": 2, "requires": true, "packages": { "": { @@ -9,7 +9,7 @@ "version": "0.0.0", "license": "Apache-2.0", "dependencies": { - "mintlify": "4.0.294" + "mintlify": "^4.0.364" } }, "node_modules/@babel/code-frame": { @@ -33,57 +33,6 @@ "node": ">=6.9.0" } }, - "node_modules/@emnapi/runtime": { - "version": "1.3.1", - "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.3.1.tgz", - "integrity": "sha512-kEBmG8KyqtxJZv+ygbEim+KCGtIq1fC22Ms3S4ziXmYKm8uyoLX0MHONVKwp+9opg390VaKRNt4a7A9NwmpNhw==", - "optional": true, - "dependencies": { - "tslib": "^2.4.0" - } - }, - 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"https://github.com/sponsors/wooorm" - } + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==" } } } diff --git a/website/package.json b/website/package.json index ac15647f29..73aa7d0222 100644 --- a/website/package.json +++ b/website/package.json @@ -8,6 +8,6 @@ }, "license": "Apache-2.0", "dependencies": { - "mintlify": "4.0.294" + "mintlify": "^4.0.364" } } From 0fef913e45ac0c10395bbf9e91d8942a2a8d4c21 Mon Sep 17 00:00:00 2001 From: Kumaran Rajendhiran Date: Mon, 3 Feb 2025 15:49:09 +0530 Subject: [PATCH 4/9] Fix codecov, dependabot and other workflows (#736) * Use v5 of codecov-action * Run dependabot checks weekly on monday 00:00 * Use files instead of file in codecov action * Fix flag name * Add additional flags based on matrix and optional dependency * Fix non exisint optional dependencies * Fail the CI job if code coverage upload throws error * Bump github-script action version to v7 * Omit contrib/ directory from code coverage * Fix failing cerebras cost test * Fix failing aws bedrock tests * Upgrade paths-filter github action version to v3 * Add setup py files to coverage omit * Remove non existent directory and fix omitting test directory * Remove obsolete unittests flag from code coverage * Use ubuntu-latest as os instead of ubuntu * Use ceiling for 6 decimals instead of round * WIP: Experimental omit * Experiment: Reverse the omits --- .coveragerc | 6 +- .github/dependabot.yml | 4 + .github/workflows/contrib-graph-rag-tests.yml | 21 +-- .github/workflows/contrib-llm-test.yml | 22 +-- .github/workflows/contrib-test.yml | 146 ++++++++++-------- .github/workflows/core-llm-test.yml | 7 +- .github/workflows/core-test.yml | 14 +- .github/workflows/test-with-optional-deps.yml | 14 +- autogen/oai/cerebras.py | 7 +- test/oai/test_bedrock.py | 4 +- test/oai/test_cerebras.py | 2 +- 11 files changed, 143 insertions(+), 104 deletions(-) diff --git a/.coveragerc b/.coveragerc index 929b9a7c09..bf80b28484 100644 --- a/.coveragerc +++ b/.coveragerc @@ -2,5 +2,7 @@ branch = True source = autogen omit = - *test* - *samples* + test/* + autogen/agentchat/contrib/* + setup_ag2.py + setup_autogen.py diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 23b64ff00c..30bbb4ee1e 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -8,6 +8,8 @@ updates: directory: "/" schedule: interval: "weekly" + day: "monday" + time: 00:00 groups: github-actions: patterns: @@ -17,6 +19,8 @@ updates: directory: "/" schedule: interval: "weekly" + day: "monday" + time: 00:00 groups: pip: patterns: diff --git a/.github/workflows/contrib-graph-rag-tests.yml b/.github/workflows/contrib-graph-rag-tests.yml index 6b981801dd..ae1e40dda9 100644 --- a/.github/workflows/contrib-graph-rag-tests.yml +++ b/.github/workflows/contrib-graph-rag-tests.yml @@ -62,10 +62,11 @@ jobs: uv pip install --system pytest-cov>=5 bash scripts/test-skip-llm.sh test/agentchat/contrib/graph_rag/test_falkor_graph_rag.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: falkordb, ubuntu-latest, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} GraphRagIntegrationTest-Neo4j-Llmaindex-Ubuntu: @@ -111,10 +112,11 @@ jobs: uv pip install --system pytest-cov>=5 bash scripts/test-skip-llm.sh test/agentchat/contrib/graph_rag/test_neo4j_graph_rag.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: neo4j, ubuntu-latest, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} # Test-Neo4j-Llmaindex-Ubuntu: @@ -156,8 +158,9 @@ jobs: # run: | # bash scripts/test.sh -m "neo4j" # - name: Upload coverage to Codecov - # uses: codecov/codecov-action@v3 + # uses: codecov/codecov-action@v5 # with: - # file: ./coverage.xml - # flags: unittests + # files: ./coverage.xml + # flags: neo4j, ubuntu-latest, ${{ matrix.python-version }} + # fail_ci_if_error: true # token: ${{ secrets.CODECOV_TOKEN }} diff --git a/.github/workflows/contrib-llm-test.yml b/.github/workflows/contrib-llm-test.yml index c376dfff5f..b23b419bc0 100644 --- a/.github/workflows/contrib-llm-test.yml +++ b/.github/workflows/contrib-llm-test.yml @@ -48,11 +48,13 @@ jobs: run: | bash scripts/test.sh test/agentchat/contrib/capabilities/test_teachable_agent.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: teachable, ${{ matrix.python-version }}, ${{ matrix.os }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} + AgentBuilder: strategy: matrix: @@ -91,10 +93,11 @@ jobs: run: | bash scripts/test.sh test/agentchat/contrib/test_agent_builder.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: autobuild, ${{ matrix.python-version }}, ${{ matrix.os }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} ImageGen: @@ -128,10 +131,11 @@ jobs: run: | bash scripts/test.sh test/agentchat/contrib/capabilities/test_image_generation_capability.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: lmm, ${{ matrix.python-version }}, ${{ matrix.os }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} # https://github.com/marketplace/actions/alls-green#why diff --git a/.github/workflows/contrib-test.yml b/.github/workflows/contrib-test.yml index 1bc0a4c4e0..8f104b66f0 100644 --- a/.github/workflows/contrib-test.yml +++ b/.github/workflows/contrib-test.yml @@ -63,10 +63,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/test_retrieve_utils.py test/agentchat/contrib/retrievechat/test_retrievechat.py test/agentchat/contrib/retrievechat/test_qdrant_retrievechat.py test/agentchat/contrib/vectordb - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: retrievechat, retrievechat-qdrant, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} RetrieveChatTest-Ubuntu: @@ -134,10 +135,11 @@ jobs: uv pip install --system pytest-cov>=5 bash scripts/test-skip-llm.sh test/test_retrieve_utils.py test/agentchat/contrib/retrievechat test/agentchat/contrib/vectordb - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: retrievechat, retrievechat-qdrant, retrievechat-pgvector, retrievechat-mongodb, ubuntu-latest, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} AgentEvalTest: @@ -166,10 +168,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/agent_eval/ - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ${{ matrix.python-version }}, ${{ matrix.os }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} GPTAssistantAgent: @@ -204,10 +207,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/test_gpt_assistant.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} TeachableAgent: @@ -242,10 +246,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/capabilities/test_teachable_agent.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: teachable, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} WebSurfer: @@ -280,10 +285,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/test_browser_utils.py test/agentchat/contrib/test_web_surfer.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: websurfer, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} LMMTest: @@ -324,10 +330,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/capabilities/test_image_generation_capability.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: lmm, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} GeminiTest: @@ -367,10 +374,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_gemini.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: gemini, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} TransformMessages: @@ -405,10 +413,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/capabilities/test_transform_messages.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittest + files: ./coverage.xml + flags: long-context, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} LlamaIndexAgent: @@ -438,10 +447,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/test_llamaindex_conversable_agent.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} AnthropicTest: @@ -482,10 +492,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_anthropic.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: anthropic, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} CerebrasTest: @@ -514,7 +525,7 @@ jobs: uv pip install --system pytest-cov>=5 - name: Install packages and dependencies for Cerebras run: | - uv pip install --system -e .[cerebras_cloud_sdk,test] + uv pip install --system -e .[cerebras,test] - name: Set AUTOGEN_USE_DOCKER based on OS shell: bash run: | @@ -525,10 +536,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_cerebras.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: cerebras, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} MistralTest: @@ -568,10 +580,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_mistral.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: mistral, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} TogetherTest: @@ -611,10 +624,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_together.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: together, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} GroqTest: @@ -654,10 +668,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_groq.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: groq, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} CohereTest: @@ -693,10 +708,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_cohere.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: cohere, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} OllamaTest: @@ -736,10 +752,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_ollama.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ollama, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} BedrockTest: @@ -768,7 +785,7 @@ jobs: uv pip install --system pytest-cov>=5 - name: Install packages and dependencies for Amazon Bedrock run: | - uv pip install --system -e .[boto3,test] + uv pip install --system -e .[bedrock,test] - name: Set AUTOGEN_USE_DOCKER based on OS shell: bash run: | @@ -779,10 +796,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/oai/test_bedrock.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: bedrock, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} SwarmTest: @@ -822,10 +840,11 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/test_swarm.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} ReasoningTest: @@ -876,8 +895,9 @@ jobs: run: | bash scripts/test-skip-llm.sh test/agentchat/contrib/test_reasoning_agent.py - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests - token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml + flags: ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true + token: ${{ secrets.CODECOV_TOKEN }} diff --git a/.github/workflows/core-llm-test.yml b/.github/workflows/core-llm-test.yml index e0eb9075f7..45cf966aa4 100644 --- a/.github/workflows/core-llm-test.yml +++ b/.github/workflows/core-llm-test.yml @@ -68,8 +68,9 @@ jobs: OAI_CONFIG_LIST: ${{ secrets.OAI_CONFIG_LIST }} run: bash scripts/test-core-llm.sh -m "${{ matrix.llm }}" - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ${{ matrix.llm }}, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} diff --git a/.github/workflows/core-test.yml b/.github/workflows/core-test.yml index a511b66ef0..cb79a792cb 100644 --- a/.github/workflows/core-test.yml +++ b/.github/workflows/core-test.yml @@ -22,7 +22,7 @@ jobs: hasChanges: ${{ steps.filter.outputs.autogen == 'true' || steps.filter.outputs.test == 'true' || steps.filter.outputs.workflows == 'true' || steps.filter.outputs.setup == 'true' }} steps: - uses: actions/checkout@v4 - - uses: dorny/paths-filter@v2 + - uses: dorny/paths-filter@v3 id: filter with: filters: | @@ -106,11 +106,13 @@ jobs: bash scripts/test-skip-llm.sh test/cache/test_cosmos_db_cache.py - name: Upload coverage to Codecov if: matrix.python-version == '3.10' - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} + build-check: if: always() runs-on: ubuntu-latest @@ -130,13 +132,13 @@ jobs: - name: Fail workflow if build failed id: check_build_failed if: contains(join(needs.*.result, ','), 'failure') - uses: actions/github-script@v6 + uses: actions/github-script@v7 with: script: core.setFailed('Build Failed!') - name: Fail workflow if build cancelled id: check_build_cancelled if: contains(join(needs.*.result, ','), 'cancelled') - uses: actions/github-script@v6 + uses: actions/github-script@v7 with: script: core.setFailed('Build Cancelled!') diff --git a/.github/workflows/test-with-optional-deps.yml b/.github/workflows/test-with-optional-deps.yml index 33ab493ae4..a730a7f4f0 100644 --- a/.github/workflows/test-with-optional-deps.yml +++ b/.github/workflows/test-with-optional-deps.yml @@ -22,7 +22,7 @@ jobs: hasChanges: ${{ steps.filter.outputs.autogen == 'true' || steps.filter.outputs.test == 'true' || steps.filter.outputs.workflows == 'true' || steps.filter.outputs.setup == 'true' }} steps: - uses: actions/checkout@v4 - - uses: dorny/paths-filter@v2 + - uses: dorny/paths-filter@v3 id: filter with: filters: | @@ -132,11 +132,13 @@ jobs: MARKER="${OPTIONAL_DEPENDENCIES//-/_}" bash scripts/test-skip-llm.sh -m "$MARKER" - name: Upload coverage to Codecov - uses: codecov/codecov-action@v3 + uses: codecov/codecov-action@v5 with: - file: ./coverage.xml - flags: unittests + files: ./coverage.xml + flags: ${{ matrix.optional-dependencies }}, ${{ matrix.os }}, ${{ matrix.python-version }} + fail_ci_if_error: true token: ${{ secrets.CODECOV_TOKEN }} + test-with_optional-dependencies-check: if: always() runs-on: ubuntu-latest @@ -156,13 +158,13 @@ jobs: - name: Fail workflow if build failed id: check_build_failed if: contains(join(needs.*.result, ','), 'failure') - uses: actions/github-script@v6 + uses: actions/github-script@v7 with: script: core.setFailed('Build Failed!') - name: Fail workflow if build cancelled id: check_build_cancelled if: contains(join(needs.*.result, ','), 'cancelled') - uses: actions/github-script@v6 + uses: actions/github-script@v7 with: script: core.setFailed('Build Cancelled!') diff --git a/autogen/oai/cerebras.py b/autogen/oai/cerebras.py index e481ffb875..1f83830324 100644 --- a/autogen/oai/cerebras.py +++ b/autogen/oai/cerebras.py @@ -24,6 +24,7 @@ from __future__ import annotations import copy +import math import os import time import warnings @@ -263,9 +264,9 @@ def calculate_cerebras_cost(input_tokens: int, output_tokens: int, model: str) - if model in CEREBRAS_PRICING_1K: input_cost_per_k, output_cost_per_k = CEREBRAS_PRICING_1K[model] - input_cost = (input_tokens / 1000) * input_cost_per_k - output_cost = (output_tokens / 1000) * output_cost_per_k - total = input_cost + output_cost + input_cost = math.ceil((input_tokens / 1000) * input_cost_per_k * 1e6) / 1e6 + output_cost = math.ceil((output_tokens / 1000) * output_cost_per_k * 1e6) / 1e6 + total = math.ceil((input_cost + output_cost) * 1e6) / 1e6 else: warnings.warn(f"Cost calculation not available for model {model}", UserWarning) diff --git a/test/oai/test_bedrock.py b/test/oai/test_bedrock.py index 7182670c18..7fcaaf42e6 100644 --- a/test/oai/test_bedrock.py +++ b/test/oai/test_bedrock.py @@ -29,7 +29,7 @@ def __init__(self, text, choices, usage, cost, model): @pytest.fixture def bedrock_client(): # Set Bedrock client with some default values - client = BedrockClient() + client = BedrockClient(aws_region="us-east-1") client._supports_system_prompts = True @@ -40,7 +40,7 @@ def bedrock_client(): @skip_on_missing_imports(["boto3", "botocore"], "bedrock") def test_initialization(): # Creation works without an api_key as it's handled in the parameter parsing - BedrockClient() + BedrockClient(aws_region="us-east-1") # Test parameters diff --git a/test/oai/test_cerebras.py b/test/oai/test_cerebras.py index f44b8eaa73..3690b9abdf 100644 --- a/test/oai/test_cerebras.py +++ b/test/oai/test_cerebras.py @@ -140,7 +140,7 @@ def test_cost_calculation(mock_response): # Convert cost per milliion to cost per token. expected_cost = ( - response.usage["prompt_tokens"] * 0.6 / 1000000 + response.usage["completion_tokens"] * 0.6 / 1000000 + response.usage["prompt_tokens"] * 0.85 / 1000000 + response.usage["completion_tokens"] * 1.20 / 1000000 ) assert calculated_cost == expected_cost, f"Cost for this should be ${expected_cost} but got ${calculated_cost}" From 55e301e854c08b03cf553a6a05014f4de5f6ee2e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Robert=20Jambre=C4=8Di=C4=87?= <32619626+rjambrecic@users.noreply.github.com> Date: Tue, 4 Feb 2025 03:56:26 +0100 Subject: [PATCH 5/9] Add Agent-E to community gallery (#779) --- website/snippets/data/GalleryItems.mdx | 7 +++++++ website/static/img/gallery/agent-e.png | 3 +++ 2 files changed, 10 insertions(+) create mode 100644 website/static/img/gallery/agent-e.png diff --git a/website/snippets/data/GalleryItems.mdx b/website/snippets/data/GalleryItems.mdx index 5def2282fa..e12bc1f6bb 100644 --- a/website/snippets/data/GalleryItems.mdx +++ b/website/snippets/data/GalleryItems.mdx @@ -235,5 +235,12 @@ export const galleryItems = [ "description": "Tracks personal finance income and expenses then helps the user to analyse it using AutoGen agents.", "image": "default.png", "tags": ["tools", "app"] + }, + { + "title": "Agent-E: AutoGen-Powered Web Automation", + "link": "https://github.com/EmergenceAI/Agent-E", + "description": "Automate your browser with Agent-E and AutoGen—search, navigate, and interact with the web effortlessly.", + "image": "agent-e.png", + "tags": ["tools", "ui", "app"] } ] diff --git a/website/static/img/gallery/agent-e.png b/website/static/img/gallery/agent-e.png new file mode 100644 index 0000000000..9bbb1b0b23 --- /dev/null +++ b/website/static/img/gallery/agent-e.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ffda4b4bcdb94b7dcb37ec681ab0ad4149e83cf4649cd09bf729a73cf82faaa1 +size 61510 From fcc265e667170a96af37e31bd8b75e3d328b7b17 Mon Sep 17 00:00:00 2001 From: Harish Mohan Raj Date: Tue, 4 Feb 2025 08:35:46 +0530 Subject: [PATCH 6/9] [Docs] Fix broken links (#772) * WIP * Fix broken links * Move contribution, fag and ecosystem directories inside docs directory for consistency --- .muffet-excluded-links.txt | 6 +++ autogen/agentchat/assistant_agent.py | 4 +- autogen/agentchat/chat.py | 2 +- .../contrib/agent_eval/critic_agent.py | 2 +- .../contrib/agent_eval/quantifier_agent.py | 2 +- .../contrib/agent_eval/subcritic_agent.py | 2 +- autogen/agentchat/contrib/agent_optimizer.py | 2 +- .../contrib/captainagent/captainagent.py | 4 +- .../contrib/llamaindex_conversable_agent.py | 2 +- autogen/agentchat/contrib/llava_agent.py | 2 +- .../contrib/math_user_proxy_agent.py | 2 +- .../contrib/multimodal_conversable_agent.py | 2 +- .../qdrant_retrieve_user_proxy_agent.py | 2 +- .../contrib/retrieve_user_proxy_agent.py | 2 +- autogen/agentchat/contrib/swarm_agent.py | 2 +- .../agentchat/contrib/text_analyzer_agent.py | 4 +- autogen/agentchat/conversable_agent.py | 4 +- autogen/agentchat/user_proxy_agent.py | 6 +-- autogen/oai/client.py | 2 +- autogen/oai/completion.py | 1 - notebook/agentchat_MathChat.ipynb | 2 +- notebook/agentchat_RetrieveChat.ipynb | 4 +- .../agentchat_RetrieveChat_pgvector.ipynb | 2 +- notebook/agentchat_RetrieveChat_qdrant.ipynb | 2 +- ...agentchat_assistant_agent_standalone.ipynb | 2 +- notebook/agentchat_cost_token_tracking.ipynb | 2 +- notebook/agentchat_custom_model.ipynb | 2 +- notebook/agentchat_databricks_dbrx.ipynb | 2 +- notebook/agentchat_function_call.ipynb | 2 +- ...at_function_call_currency_calculator.ipynb | 2 +- notebook/agentchat_groupchat.ipynb | 2 +- notebook/agentchat_groupchat_RAG.ipynb | 2 +- notebook/agentchat_groupchat_customized.ipynb | 2 +- notebook/agentchat_groupchat_research.ipynb | 2 +- notebook/agentchat_groupchat_stateflow.ipynb | 2 +- notebook/agentchat_groupchat_vis.ipynb | 2 +- notebook/agentchat_human_feedback.ipynb | 2 +- notebook/agentchat_langchain.ipynb | 2 +- .../agentchat_oai_assistant_groupchat.ipynb | 2 +- notebook/agentchat_oai_code_interpreter.ipynb | 2 +- notebook/agentchat_planning.ipynb | 2 +- ...chat_realtime_gemini_swarm_websocket.ipynb | 2 +- .../agentchat_realtime_gemini_websocket.ipynb | 2 +- notebook/agentchat_realtime_swarm.ipynb | 2 +- .../agentchat_realtime_swarm_webrtc.ipynb | 2 +- .../agentchat_realtime_swarm_websocket.ipynb | 2 +- notebook/agentchat_realtime_webrtc.ipynb | 2 +- notebook/agentchat_realtime_websocket.ipynb | 2 +- notebook/agentchat_stream.ipynb | 2 +- notebook/agentchat_structured_outputs.ipynb | 2 +- notebook/agentchat_surfer.ipynb | 2 +- notebook/agentchat_swarm.ipynb | 2 +- notebook/agentchat_swarm_enhanced.ipynb | 2 +- .../agentchat_swarm_w_groupchat_legacy.ipynb | 2 +- notebook/agentchat_teachability.ipynb | 2 +- .../agentchat_teachable_oai_assistants.ipynb | 2 +- notebook/agentchat_two_users.ipynb | 2 +- notebook/agentchat_web_info.ipynb | 2 +- notebook/agentchat_websockets.ipynb | 4 +- notebook/agenteval_cq_math.ipynb | 2 +- .../config_loader_utility_functions.ipynb | 2 +- notebook/oai_completion.ipynb | 2 +- .../2023-12-29-AgentDescriptions/index.mdx | 6 +-- .../index.mdx | 2 +- .../2024-06-24-AltModels-Classes/index.mdx | 2 +- .../index.mdx | 2 +- .../2024-12-06-FalkorDB-Structured/index.mdx | 2 +- .../_blogs/2024-12-20-RealtimeAgent/index.mdx | 2 +- .../index.mdx | 24 +++++----- .../index.mdx | 2 +- .../contributor-guide/Migration-Guide.mdx | 2 +- .../{ => docs}/contributor-guide/Research.mdx | 0 .../contributor-guide/contributing.mdx | 0 .../contributor-guide/documentation.mdx | 0 .../contributor-guide/file-bug-report.mdx | 0 .../contributor-guide/maintainer.mdx | 0 .../contributor-guide/pre-commit.mdx | 0 .../setup-development-environment.mdx | 0 .../{ => docs}/contributor-guide/tests.mdx | 0 website/{ => docs}/ecosystem/agentops.mdx | 0 .../{ => docs}/ecosystem/azure_cosmos_db.mdx | 0 website/{ => docs}/ecosystem/composio.mdx | 0 website/{ => docs}/ecosystem/databricks.mdx | 0 .../ecosystem/img/ecosystem-composio.png | 0 .../ecosystem/img/ecosystem-databricks.png | 0 .../ecosystem/img/ecosystem-fabric.png | 0 .../ecosystem/img/ecosystem-llamaindex.png | 0 .../ecosystem/img/ecosystem-memgpt.png | 0 .../ecosystem/img/ecosystem-ollama.png | 0 .../ecosystem/img/ecosystem-promptflow.png | 0 website/{ => docs}/ecosystem/llamaindex.mdx | 0 website/{ => docs}/ecosystem/mem0.mdx | 0 website/{ => docs}/ecosystem/memgpt.mdx | 0 .../{ => docs}/ecosystem/microsoft-fabric.mdx | 0 website/{ => docs}/ecosystem/ollama.mdx | 0 website/{ => docs}/ecosystem/pgvector.mdx | 0 website/{ => docs}/ecosystem/portkey.mdx | 0 website/{ => docs}/ecosystem/promptflow.mdx | 0 website/{ => docs}/faq/FAQ.mdx | 4 +- website/docs/installation/Installation.mdx | 2 +- website/docs/tutorial/code-executors.ipynb | 28 +++++------ .../docs/tutorial/conversation-patterns.ipynb | 4 +- website/docs/tutorial/introduction.ipynb | 2 +- website/docs/tutorial/tool-use.ipynb | 6 +-- .../getting-started/Getting-Started.mdx | 4 +- website/mint-json-template.json.jinja | 48 +++++++++---------- .../captainagent/configurations.mdx | 2 +- website/user-guide/llm_configuration.ipynb | 8 ++-- 108 files changed, 150 insertions(+), 145 deletions(-) rename website/{ => docs}/contributor-guide/Migration-Guide.mdx (91%) rename website/{ => docs}/contributor-guide/Research.mdx (100%) rename website/{ => docs}/contributor-guide/contributing.mdx (100%) rename website/{ => docs}/contributor-guide/documentation.mdx (100%) rename website/{ => docs}/contributor-guide/file-bug-report.mdx (100%) rename website/{ => docs}/contributor-guide/maintainer.mdx (100%) rename website/{ => docs}/contributor-guide/pre-commit.mdx (100%) rename website/{ => docs}/contributor-guide/setup-development-environment.mdx (100%) rename website/{ => docs}/contributor-guide/tests.mdx (100%) rename website/{ => docs}/ecosystem/agentops.mdx (100%) rename website/{ => docs}/ecosystem/azure_cosmos_db.mdx (100%) rename website/{ => docs}/ecosystem/composio.mdx (100%) rename website/{ => docs}/ecosystem/databricks.mdx (100%) rename website/{ => docs}/ecosystem/img/ecosystem-composio.png (100%) rename website/{ => docs}/ecosystem/img/ecosystem-databricks.png (100%) rename website/{ => docs}/ecosystem/img/ecosystem-fabric.png (100%) rename website/{ => docs}/ecosystem/img/ecosystem-llamaindex.png (100%) rename website/{ => docs}/ecosystem/img/ecosystem-memgpt.png (100%) rename website/{ => docs}/ecosystem/img/ecosystem-ollama.png (100%) rename website/{ => docs}/ecosystem/img/ecosystem-promptflow.png (100%) rename website/{ => docs}/ecosystem/llamaindex.mdx (100%) rename website/{ => docs}/ecosystem/mem0.mdx (100%) rename website/{ => docs}/ecosystem/memgpt.mdx (100%) rename website/{ => docs}/ecosystem/microsoft-fabric.mdx (100%) rename website/{ => docs}/ecosystem/ollama.mdx (100%) rename website/{ => docs}/ecosystem/pgvector.mdx (100%) rename website/{ => docs}/ecosystem/portkey.mdx (100%) rename website/{ => docs}/ecosystem/promptflow.mdx (100%) rename website/{ => docs}/faq/FAQ.mdx (97%) diff --git a/.muffet-excluded-links.txt b/.muffet-excluded-links.txt index 9f6acf4e33..af6002db43 100644 --- a/.muffet-excluded-links.txt +++ b/.muffet-excluded-links.txt @@ -43,3 +43,9 @@ https://docs.ag2.ai/_sites/docs.ag2.ai/notebooks/Gallery# https://docs.ag2.ai/_sites/docs.ag2.ai/docs/topics/non-openai-models/cloud-gemini_vertexai# https://investor.nvidia.com https://github.com/neo4j/neo4j-graphrag-python +https://platform.deepseek.com/sign_in +https://github.com/ag2ai/build-with-ag2/tree/main/samples/apps/auto-anny +https://github.com/ag2ai/ag2/blob/main/website/docs/topics/llm_configuration.ipynb +https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/CONTRIBUTING.md +https://github.com/ag2ai/build-with-ag2/blob/main/samples/tools/autogenbench/README.md +https://github.com/ag2ai/build-with-ag2/blob/main/samples/apps/autogen-studio diff --git a/autogen/agentchat/assistant_agent.py b/autogen/agentchat/assistant_agent.py index f16d2e1f89..f4598a57f6 100644 --- a/autogen/agentchat/assistant_agent.py +++ b/autogen/agentchat/assistant_agent.py @@ -54,7 +54,7 @@ def __init__( system_message (str): system message for the ChatCompletion inference. Please override this attribute if you want to reprogram the agent. llm_config (dict or False or None): llm inference configuration. - Please refer to [OpenAIWrapper.create](/reference/autogen/OpenAIWrapper#create) + Please refer to [OpenAIWrapper.create](/docs/api-reference/autogen/OpenAIWrapper#create) for available options. is_termination_msg (function): a function that takes a message in the form of a dictionary and returns a boolean value indicating if this received message is a termination message. @@ -63,7 +63,7 @@ def __init__( default to None (no limit provided, class attribute MAX_CONSECUTIVE_AUTO_REPLY will be used as the limit in this case). The limit only plays a role when human_input_mode is not "ALWAYS". **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__( name, diff --git a/autogen/agentchat/chat.py b/autogen/agentchat/chat.py index 7d60516e2b..1c19eacc39 100644 --- a/autogen/agentchat/chat.py +++ b/autogen/agentchat/chat.py @@ -142,7 +142,7 @@ def initiate_chats(chat_queue: list[dict[str, Any]]) -> list[ChatResult]: chat_queue (List[Dict]): A list of dictionaries containing the information about the chats. Each dictionary should contain the input arguments for - [`ConversableAgent.initiate_chat`](/reference/autogen/ConversableAgent#initiate-chat). + [`ConversableAgent.initiate_chat`](/docs/api-reference/autogen/ConversableAgent#initiate-chat). For example: - `"sender"` - the sender agent. - `"recipient"` - the recipient agent. diff --git a/autogen/agentchat/contrib/agent_eval/critic_agent.py b/autogen/agentchat/contrib/agent_eval/critic_agent.py index eb14e4b26b..bf30dc5fe9 100644 --- a/autogen/agentchat/contrib/agent_eval/critic_agent.py +++ b/autogen/agentchat/contrib/agent_eval/critic_agent.py @@ -34,7 +34,7 @@ def __init__( Please override this attribute if you want to reprogram the agent. description (str): The description of the agent. **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](../../conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__( name=name, diff --git a/autogen/agentchat/contrib/agent_eval/quantifier_agent.py b/autogen/agentchat/contrib/agent_eval/quantifier_agent.py index 65e69f5bf9..14ce10d003 100644 --- a/autogen/agentchat/contrib/agent_eval/quantifier_agent.py +++ b/autogen/agentchat/contrib/agent_eval/quantifier_agent.py @@ -34,6 +34,6 @@ def __init__( Please override this attribute if you want to reprogram the agent. description (str): The description of the agent. **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](../../conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__(name=name, system_message=system_message, description=description, **kwargs) diff --git a/autogen/agentchat/contrib/agent_eval/subcritic_agent.py b/autogen/agentchat/contrib/agent_eval/subcritic_agent.py index cdc99db2d0..421dfc6133 100755 --- a/autogen/agentchat/contrib/agent_eval/subcritic_agent.py +++ b/autogen/agentchat/contrib/agent_eval/subcritic_agent.py @@ -35,7 +35,7 @@ def __init__( Please override this attribute if you want to reprogram the agent. description (str): The description of the agent. **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](../../conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__( name=name, diff --git a/autogen/agentchat/contrib/agent_optimizer.py b/autogen/agentchat/contrib/agent_optimizer.py index 2e85df937b..334ae394b5 100644 --- a/autogen/agentchat/contrib/agent_optimizer.py +++ b/autogen/agentchat/contrib/agent_optimizer.py @@ -183,7 +183,7 @@ def __init__( Args: max_actions_per_step (int): the maximum number of actions that the optimizer can take in one step. llm_config (dict): llm inference configuration. - Please refer to [OpenAIWrapper.create](/reference/autogen/OpenAIWrapper#create) for available options. + Please refer to [OpenAIWrapper.create](/docs/api-reference/autogen/OpenAIWrapper#create) for available options. When using OpenAI or Azure OpenAI endpoints, please specify a non-empty 'model' either in `llm_config` or in each config of 'config_list' in `llm_config`. optimizer_model: the model used for the optimizer. """ diff --git a/autogen/agentchat/contrib/captainagent/captainagent.py b/autogen/agentchat/contrib/captainagent/captainagent.py index 32d19029d7..1b93615116 100644 --- a/autogen/agentchat/contrib/captainagent/captainagent.py +++ b/autogen/agentchat/contrib/captainagent/captainagent.py @@ -152,7 +152,7 @@ def __init__( system_message (str): system message for the ChatCompletion inference. Please override this attribute if you want to reprogram the agent. llm_config (dict): llm inference configuration. - Please refer to [OpenAIWrapper.create](/reference/autogen/OpenAIWrapper#create) for available options. + Please refer to [OpenAIWrapper.create](/docs/api-reference/autogen/OpenAIWrapper#create) for available options. is_termination_msg (function): a function that takes a message in the form of a dictionary and returns a boolean value indicating if this received message is a termination message. The dict can contain the following keys: "content", "role", "name", "function_call". @@ -332,7 +332,7 @@ def __init__( - last_n_messages (Experimental, Optional, int): The number of messages to look back for code execution. Default to 1. default_auto_reply (str or dict or None): the default auto reply message when no code execution or llm based reply is generated. llm_config (dict or False): llm inference configuration. - Please refer to [OpenAIWrapper.create](/reference/autogen/OpenAIWrapper#create) + Please refer to [OpenAIWrapper.create](/docs/api-reference/autogen/OpenAIWrapper#create) for available options. Default to false, which disables llm-based auto reply. system_message (str or List): system message for ChatCompletion inference. diff --git a/autogen/agentchat/contrib/llamaindex_conversable_agent.py b/autogen/agentchat/contrib/llamaindex_conversable_agent.py index fc452023a8..6fd16395db 100644 --- a/autogen/agentchat/contrib/llamaindex_conversable_agent.py +++ b/autogen/agentchat/contrib/llamaindex_conversable_agent.py @@ -54,7 +54,7 @@ def __init__( description (str): a short description of the agent. This description is used by other agents (e.g. the GroupChatManager) to decide when to call upon this agent. **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](../conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ if llama_index_agent is None: raise ValueError("llama_index_agent must be provided") diff --git a/autogen/agentchat/contrib/llava_agent.py b/autogen/agentchat/contrib/llava_agent.py index 48d3485f60..c5f77d0859 100644 --- a/autogen/agentchat/contrib/llava_agent.py +++ b/autogen/agentchat/contrib/llava_agent.py @@ -41,7 +41,7 @@ def __init__( system_message (str): system message for the ChatCompletion inference. Please override this attribute if you want to reprogram the agent. **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](../conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__( name, diff --git a/autogen/agentchat/contrib/math_user_proxy_agent.py b/autogen/agentchat/contrib/math_user_proxy_agent.py index 009a3829cf..2114da7fca 100644 --- a/autogen/agentchat/contrib/math_user_proxy_agent.py +++ b/autogen/agentchat/contrib/math_user_proxy_agent.py @@ -166,7 +166,7 @@ def __init__( when the number of auto reply reaches the max_consecutive_auto_reply or when is_termination_msg is True. default_auto_reply (str or dict or None): the default auto reply message when no code execution or llm based reply is generated. max_invalid_q_per_step (int): (ADDED) the maximum number of invalid queries per step. - **kwargs (dict): other kwargs in [UserProxyAgent](../user_proxy_agent#init). + **kwargs (dict): other kwargs in [UserProxyAgent](/docs/api-reference/autogen/UserProxyAgent#userproxyagent). """ super().__init__( name=name, diff --git a/autogen/agentchat/contrib/multimodal_conversable_agent.py b/autogen/agentchat/contrib/multimodal_conversable_agent.py index 9bf9caa17f..69060d4d00 100644 --- a/autogen/agentchat/contrib/multimodal_conversable_agent.py +++ b/autogen/agentchat/contrib/multimodal_conversable_agent.py @@ -38,7 +38,7 @@ def __init__( system_message (str): system message for the OpenAIWrapper inference. Please override this attribute if you want to reprogram the agent. **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](../conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__( name, diff --git a/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py b/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py index 8214976b87..c169890b16 100644 --- a/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py +++ b/autogen/agentchat/contrib/qdrant_retrieve_user_proxy_agent.py @@ -95,7 +95,7 @@ def __init__( - payload_indexing: Whether to create a payload index for the document field. Default is False. You can find more info about the payload indexing options at https://qdrant.tech/documentation/concepts/indexing/#payload-index API Reference: https://qdrant.github.io/qdrant/redoc/index.html#tag/collections/operation/create_field_index - **kwargs (dict): other kwargs in [UserProxyAgent](../user_proxy_agent#init). + **kwargs (dict): other kwargs in [UserProxyAgent](/docs/api-reference/autogen/UserProxyAgent#userproxyagent). """ warnings.warn( diff --git a/autogen/agentchat/contrib/retrieve_user_proxy_agent.py b/autogen/agentchat/contrib/retrieve_user_proxy_agent.py index 925fbd5e31..056281763e 100644 --- a/autogen/agentchat/contrib/retrieve_user_proxy_agent.py +++ b/autogen/agentchat/contrib/retrieve_user_proxy_agent.py @@ -218,7 +218,7 @@ def __init__( - `distance_threshold` (Optional, float) - the threshold for the distance score, only distance smaller than it will be returned. Will be ignored if < 0. Default is -1. - `**kwargs` (dict): other kwargs in [UserProxyAgent](../user_proxy_agent#init). + `**kwargs` (dict): other kwargs in [UserProxyAgent](/docs/api-reference/autogen/UserProxyAgent#userproxyagent). Example: Example of overriding retrieve_docs - If you have set up a customized vector db, and it's diff --git a/autogen/agentchat/contrib/swarm_agent.py b/autogen/agentchat/contrib/swarm_agent.py index 747f67adb4..88547b2797 100644 --- a/autogen/agentchat/contrib/swarm_agent.py +++ b/autogen/agentchat/contrib/swarm_agent.py @@ -63,7 +63,7 @@ class ON_CONDITION: # noqa: N801 Args: target (Union[SwarmAgent, dict[str, Any]]): The agent to hand off to or the nested chat configuration. Can be a SwarmAgent or a Dict. If a Dict, it should follow the convention of the nested chat configuration, with the exception of a carryover configuration which is unique to Swarms. - Swarm Nested chat documentation: https://docs.ag2.ai/docs/topics/swarm#registering-handoffs-to-a-nested-chat + Swarm Nested chat documentation: https://docs.ag2.ai/docs/user-guide/advanced-concepts/swarm-deep-dive#registering-handoffs-to-a-nested-chat condition (str): The condition for transitioning to the target agent, evaluated by the LLM to determine whether to call the underlying function/tool which does the transition. available (Union[Callable, str]): Optional condition to determine if this ON_CONDITION is available. Can be a Callable or a string. If a string, it will look up the value of the context variable with that name, which should be a bool. diff --git a/autogen/agentchat/contrib/text_analyzer_agent.py b/autogen/agentchat/contrib/text_analyzer_agent.py index 99db794fc4..b7eafb34f7 100644 --- a/autogen/agentchat/contrib/text_analyzer_agent.py +++ b/autogen/agentchat/contrib/text_analyzer_agent.py @@ -31,10 +31,10 @@ def __init__( system_message (str): system message for the ChatCompletion inference. human_input_mode (str): This agent should NEVER prompt the human for input. llm_config (dict or False): llm inference configuration. - Please refer to [OpenAIWrapper.create](/reference/autogen/OpenAIWrapper#create) + Please refer to [OpenAIWrapper.create](/docs/api-reference/autogen/OpenAIWrapper#create) for available options. To disable llm-based auto reply, set to False. - **kwargs (dict): other kwargs in [ConversableAgent](../conversable_agent#init). + **kwargs (dict): other kwargs in [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__( name=name, diff --git a/autogen/agentchat/conversable_agent.py b/autogen/agentchat/conversable_agent.py index 84a65ac209..a4f6203e50 100644 --- a/autogen/agentchat/conversable_agent.py +++ b/autogen/agentchat/conversable_agent.py @@ -145,7 +145,7 @@ def __init__( - last_n_messages (Experimental, int or str): The number of messages to look back for code execution. If set to 'auto', it will scan backwards through all messages arriving since the agent last spoke, which is typically the last time execution was attempted. (Default: auto) llm_config (dict or False or None): llm inference configuration. - Please refer to [OpenAIWrapper.create](/reference/autogen/OpenAIWrapper#create) + Please refer to [OpenAIWrapper.create](/docs/api-reference/autogen/OpenAIWrapper#create) for available options. When using OpenAI or Azure OpenAI endpoints, please specify a non-empty 'model' either in `llm_config` or in each config of 'config_list' in `llm_config`. To disable llm-based auto reply, set to False. @@ -1365,7 +1365,7 @@ def initiate_chats(self, chat_queue: list[dict[str, Any]]) -> list[ChatResult]: Args: chat_queue (List[Dict]): a list of dictionaries containing the information of the chats. - Each dictionary should contain the input arguments for [`initiate_chat`](conversable_agent#initiate-chat) + Each dictionary should contain the input arguments for [`initiate_chat`](#initiate-chat) Returns: a list of ChatResult objects corresponding to the finished chats in the chat_queue. """ diff --git a/autogen/agentchat/user_proxy_agent.py b/autogen/agentchat/user_proxy_agent.py index 133a48ba3e..34aac79eeb 100644 --- a/autogen/agentchat/user_proxy_agent.py +++ b/autogen/agentchat/user_proxy_agent.py @@ -18,7 +18,7 @@ class UserProxyAgent(ConversableAgent): UserProxyAgent is a subclass of ConversableAgent configured with `human_input_mode` to ALWAYS and `llm_config` to False. By default, the agent will prompt for human input every time a message is received. Code execution is enabled by default. LLM-based auto reply is disabled by default. - To modify auto reply, register a method with [`register_reply`](conversable_agent#register-reply). + To modify auto reply, register a method with [`register_reply`](/docs/api-reference/autogen/ConversableAgent#register-reply). To modify the way to get human input, override `get_human_input` method. To modify the way to execute code blocks, single code block, or function call, override `execute_code_blocks`, `run_code`, and `execute_function` methods respectively. @@ -79,7 +79,7 @@ def __init__( - last_n_messages (Experimental, Optional, int): The number of messages to look back for code execution. Default to 1. default_auto_reply (str or dict or None): the default auto reply message when no code execution or llm based reply is generated. llm_config (dict or False or None): llm inference configuration. - Please refer to [OpenAIWrapper.create](/reference/autogen/OpenAIWrapper#create) + Please refer to [OpenAIWrapper.create](/docs/api-reference/autogen/OpenAIWrapper#create) for available options. Default to False, which disables llm-based auto reply. When set to None, will use self.DEFAULT_CONFIG, which defaults to False. @@ -88,7 +88,7 @@ def __init__( description (str): a short description of the agent. This description is used by other agents (e.g. the GroupChatManager) to decide when to call upon this agent. (Default: system_message) **kwargs (dict): Please refer to other kwargs in - [ConversableAgent](conversable_agent#init). + [ConversableAgent](/docs/api-reference/autogen/ConversableAgent#conversableagent). """ super().__init__( name=name, diff --git a/autogen/oai/client.py b/autogen/oai/client.py index bc3f8c1b77..8f1694fe7c 100644 --- a/autogen/oai/client.py +++ b/autogen/oai/client.py @@ -630,7 +630,7 @@ def __init__( Args: config_list: a list of config dicts to override the base_config. - They can contain additional kwargs as allowed in the [create](/reference/autogen/OpenAIWrapper#create) method. E.g., + They can contain additional kwargs as allowed in the [create](/docs/api-reference/autogen/OpenAIWrapper#create) method. E.g., ```python config_list = [ diff --git a/autogen/oai/completion.py b/autogen/oai/completion.py index d04064ba4c..933370f36d 100644 --- a/autogen/oai/completion.py +++ b/autogen/oai/completion.py @@ -756,7 +756,6 @@ def create( E.g., `prompt="Complete the following sentence: {prefix}, context={"prefix": "Today I feel"}`. The actual prompt will be: "Complete the following sentence: Today I feel". - More examples can be found at [templating](https://docs.ag2.ai/docs/Use-Cases/enhanced_inference#templating). use_cache (bool, Optional): Whether to use cached responses. config_list (List, Optional): List of configurations for the completion to try. The first one that does not raise an error will be used. diff --git a/notebook/agentchat_MathChat.ipynb b/notebook/agentchat_MathChat.ipynb index 369acae4d7..caeda3875e 100644 --- a/notebook/agentchat_MathChat.ipynb +++ b/notebook/agentchat_MathChat.ipynb @@ -31,7 +31,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" ] }, { diff --git a/notebook/agentchat_RetrieveChat.ipynb b/notebook/agentchat_RetrieveChat.ipynb index 60a8ee00c5..4e29b78900 100644 --- a/notebook/agentchat_RetrieveChat.ipynb +++ b/notebook/agentchat_RetrieveChat.ipynb @@ -15,7 +15,7 @@ "## Table of Contents\n", "We'll demonstrate six examples of using RetrieveChat for code generation and question answering:\n", "\n", - "- [Example 1: Generate code based off docstrings w/o human feedback](/notebooks/agentchat_RetrieveChat#example-1)\n", + "- [Example 1: Generate code based off docstrings w/o human feedback](#example-1)\n", "- [Example 2: Answer a question based off docstrings w/o human feedback](#example-2)\n", "- [Example 3: Generate code based off docstrings w/ human feedback](#example-3)\n", "- [Example 4: Answer a question based off docstrings w/ human feedback](#example-4)\n", @@ -43,7 +43,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" ] }, { diff --git a/notebook/agentchat_RetrieveChat_pgvector.ipynb b/notebook/agentchat_RetrieveChat_pgvector.ipynb index 0889bf82bd..aa79b60d2f 100644 --- a/notebook/agentchat_RetrieveChat_pgvector.ipynb +++ b/notebook/agentchat_RetrieveChat_pgvector.ipynb @@ -67,7 +67,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" ] }, { diff --git a/notebook/agentchat_RetrieveChat_qdrant.ipynb b/notebook/agentchat_RetrieveChat_qdrant.ipynb index 245eba79b1..2a821c5598 100644 --- a/notebook/agentchat_RetrieveChat_qdrant.ipynb +++ b/notebook/agentchat_RetrieveChat_qdrant.ipynb @@ -53,7 +53,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" ] }, { diff --git a/notebook/agentchat_assistant_agent_standalone.ipynb b/notebook/agentchat_assistant_agent_standalone.ipynb index 726569dfb7..f639a52804 100644 --- a/notebook/agentchat_assistant_agent_standalone.ipynb +++ b/notebook/agentchat_assistant_agent_standalone.ipynb @@ -49,7 +49,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a JSON file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a JSON file." ] }, { diff --git a/notebook/agentchat_cost_token_tracking.ipynb b/notebook/agentchat_cost_token_tracking.ipynb index 2febfc9788..a2eb70029f 100644 --- a/notebook/agentchat_cost_token_tracking.ipynb +++ b/notebook/agentchat_cost_token_tracking.ipynb @@ -53,7 +53,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" ] }, { diff --git a/notebook/agentchat_custom_model.ipynb b/notebook/agentchat_custom_model.ipynb index 4e7a0f424b..2fb8ba92f7 100644 --- a/notebook/agentchat_custom_model.ipynb +++ b/notebook/agentchat_custom_model.ipynb @@ -210,7 +210,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", "\n", "It first looks for an environment variable of a specified name (\"OAI_CONFIG_LIST\" in this example), which needs to be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by models (you can filter by other keys as well).\n", "\n", diff --git a/notebook/agentchat_databricks_dbrx.ipynb b/notebook/agentchat_databricks_dbrx.ipynb index 92825486cc..7cabd96778 100644 --- a/notebook/agentchat_databricks_dbrx.ipynb +++ b/notebook/agentchat_databricks_dbrx.ipynb @@ -76,7 +76,7 @@ "source": [ "## Setup DBRX config list\n", "\n", - "See Autogen docs for more inforation on the use of `config_list`: [LLM Configuration](https://docs.ag2.ai/docs/topics/llm_configuration#why-is-it-a-list)" + "See Autogen docs for more inforation on the use of `config_list`: [LLM Configuration](https://docs.ag2.ai/docs/user-guide/advanced-concepts/llm-configuration-deep-dive#why-is-it-a-list)" ] }, { diff --git a/notebook/agentchat_function_call.ipynb b/notebook/agentchat_function_call.ipynb index 4e7ee8ef82..bb590d17dc 100644 --- a/notebook/agentchat_function_call.ipynb +++ b/notebook/agentchat_function_call.ipynb @@ -38,7 +38,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_function_call_currency_calculator.ipynb b/notebook/agentchat_function_call_currency_calculator.ipynb index b19fa783c6..cc8b221030 100644 --- a/notebook/agentchat_function_call_currency_calculator.ipynb +++ b/notebook/agentchat_function_call_currency_calculator.ipynb @@ -45,7 +45,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_groupchat.ipynb b/notebook/agentchat_groupchat.ipynb index 38439a1feb..6536198537 100644 --- a/notebook/agentchat_groupchat.ipynb +++ b/notebook/agentchat_groupchat.ipynb @@ -31,7 +31,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_groupchat_RAG.ipynb b/notebook/agentchat_groupchat_RAG.ipynb index 957325eeaa..c00884fc58 100644 --- a/notebook/agentchat_groupchat_RAG.ipynb +++ b/notebook/agentchat_groupchat_RAG.ipynb @@ -30,7 +30,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_groupchat_customized.ipynb b/notebook/agentchat_groupchat_customized.ipynb index e5d883011b..664329ca79 100644 --- a/notebook/agentchat_groupchat_customized.ipynb +++ b/notebook/agentchat_groupchat_customized.ipynb @@ -56,7 +56,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_groupchat_research.ipynb b/notebook/agentchat_groupchat_research.ipynb index 899069fc62..a902990636 100644 --- a/notebook/agentchat_groupchat_research.ipynb +++ b/notebook/agentchat_groupchat_research.ipynb @@ -31,7 +31,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_groupchat_stateflow.ipynb b/notebook/agentchat_groupchat_stateflow.ipynb index 96150c01b5..e0da064165 100644 --- a/notebook/agentchat_groupchat_stateflow.ipynb +++ b/notebook/agentchat_groupchat_stateflow.ipynb @@ -29,7 +29,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_groupchat_vis.ipynb b/notebook/agentchat_groupchat_vis.ipynb index d845509cf9..adef8e1c8f 100644 --- a/notebook/agentchat_groupchat_vis.ipynb +++ b/notebook/agentchat_groupchat_vis.ipynb @@ -29,7 +29,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_human_feedback.ipynb b/notebook/agentchat_human_feedback.ipynb index 1664b06c1c..be2258bd6e 100644 --- a/notebook/agentchat_human_feedback.ipynb +++ b/notebook/agentchat_human_feedback.ipynb @@ -47,7 +47,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_langchain.ipynb b/notebook/agentchat_langchain.ipynb index b5c4444d5c..85e11a3015 100644 --- a/notebook/agentchat_langchain.ipynb +++ b/notebook/agentchat_langchain.ipynb @@ -49,7 +49,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_models`](https://docs.ag2.ai/reference/autogen/config_list_from_models#config-list-from-models) function tries to create a list of configurations using Azure OpenAI endpoints and OpenAI endpoints for the provided list of models. It assumes the api keys and api bases are stored in the corresponding environment variables or local txt files:\n", + "The [`config_list_from_models`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_models#config-list-from-models) function tries to create a list of configurations using Azure OpenAI endpoints and OpenAI endpoints for the provided list of models. It assumes the api keys and api bases are stored in the corresponding environment variables or local txt files:\n", "\n", "- OpenAI API key: os.environ[\"OPENAI_API_KEY\"] or `openai_api_key_file=\"key_openai.txt\"`.\n", "- Azure OpenAI API key: os.environ[\"AZURE_OPENAI_API_KEY\"] or `aoai_api_key_file=\"key_aoai.txt\"`. Multiple keys can be stored, one per line.\n", diff --git a/notebook/agentchat_oai_assistant_groupchat.ipynb b/notebook/agentchat_oai_assistant_groupchat.ipynb index 3eb7e99329..0016c55d49 100644 --- a/notebook/agentchat_oai_assistant_groupchat.ipynb +++ b/notebook/agentchat_oai_assistant_groupchat.ipynb @@ -32,7 +32,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_oai_code_interpreter.ipynb b/notebook/agentchat_oai_code_interpreter.ipynb index fe1e2d6cc2..93920004af 100644 --- a/notebook/agentchat_oai_code_interpreter.ipynb +++ b/notebook/agentchat_oai_code_interpreter.ipynb @@ -28,7 +28,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_planning.ipynb b/notebook/agentchat_planning.ipynb index be0f931dcd..91046a38c9 100644 --- a/notebook/agentchat_planning.ipynb +++ b/notebook/agentchat_planning.ipynb @@ -47,7 +47,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. It first looks for an environment variable with a specified name. The value of the environment variable needs to be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by filter_dict.\n", + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. It first looks for an environment variable with a specified name. The value of the environment variable needs to be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by filter_dict.\n", "\n", "It's OK to have only the OpenAI API key, or only the Azure OpenAI API key + base.\n" ] diff --git a/notebook/agentchat_realtime_gemini_swarm_websocket.ipynb b/notebook/agentchat_realtime_gemini_swarm_websocket.ipynb index d2d392dc23..9cda8de543 100644 --- a/notebook/agentchat_realtime_gemini_swarm_websocket.ipynb +++ b/notebook/agentchat_realtime_gemini_swarm_websocket.ipynb @@ -96,7 +96,7 @@ "source": [ "## Prepare your `llm_config` and `realtime_llm_config`\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_realtime_gemini_websocket.ipynb b/notebook/agentchat_realtime_gemini_websocket.ipynb index 3eea590388..d78dd7f83a 100644 --- a/notebook/agentchat_realtime_gemini_websocket.ipynb +++ b/notebook/agentchat_realtime_gemini_websocket.ipynb @@ -90,7 +90,7 @@ "source": [ "## Prepare your `llm_config` and `realtime_llm_config`\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_realtime_swarm.ipynb b/notebook/agentchat_realtime_swarm.ipynb index 6ecf0352db..3ade28fadb 100644 --- a/notebook/agentchat_realtime_swarm.ipynb +++ b/notebook/agentchat_realtime_swarm.ipynb @@ -58,7 +58,7 @@ "source": [ "## Prepare your `llm_config` and `realtime_llm_config`\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_realtime_swarm_webrtc.ipynb b/notebook/agentchat_realtime_swarm_webrtc.ipynb index af88e64df7..d370e7e496 100644 --- a/notebook/agentchat_realtime_swarm_webrtc.ipynb +++ b/notebook/agentchat_realtime_swarm_webrtc.ipynb @@ -77,7 +77,7 @@ "source": [ "## Prepare your `llm_config` and `realtime_llm_config`\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_realtime_swarm_websocket.ipynb b/notebook/agentchat_realtime_swarm_websocket.ipynb index 665c8d2abc..3aa4a86051 100644 --- a/notebook/agentchat_realtime_swarm_websocket.ipynb +++ b/notebook/agentchat_realtime_swarm_websocket.ipynb @@ -78,7 +78,7 @@ "source": [ "## Prepare your `llm_config` and `realtime_llm_config`\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_realtime_webrtc.ipynb b/notebook/agentchat_realtime_webrtc.ipynb index 4bf85ddb39..630b3202d1 100644 --- a/notebook/agentchat_realtime_webrtc.ipynb +++ b/notebook/agentchat_realtime_webrtc.ipynb @@ -88,7 +88,7 @@ "source": [ "## Prepare your `llm_config` and `realtime_llm_config`\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", "\n", "## Important note\n", "\n", diff --git a/notebook/agentchat_realtime_websocket.ipynb b/notebook/agentchat_realtime_websocket.ipynb index 2782809f81..9780c84a5f 100644 --- a/notebook/agentchat_realtime_websocket.ipynb +++ b/notebook/agentchat_realtime_websocket.ipynb @@ -79,7 +79,7 @@ "source": [ "## Prepare your `llm_config` and `realtime_llm_config`\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_stream.ipynb b/notebook/agentchat_stream.ipynb index af699435ce..22d7d95fb0 100644 --- a/notebook/agentchat_stream.ipynb +++ b/notebook/agentchat_stream.ipynb @@ -47,7 +47,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" ] }, { diff --git a/notebook/agentchat_structured_outputs.ipynb b/notebook/agentchat_structured_outputs.ipynb index 5ea4b5e685..2033a955c9 100644 --- a/notebook/agentchat_structured_outputs.ipynb +++ b/notebook/agentchat_structured_outputs.ipynb @@ -43,7 +43,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. Structured Output is supported by OpenAI's models from gpt-4-0613 and gpt-3.5-turbo-0613." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. Structured Output is supported by OpenAI's models from gpt-4-0613 and gpt-3.5-turbo-0613." ] }, { diff --git a/notebook/agentchat_surfer.ipynb b/notebook/agentchat_surfer.ipynb index 2812dfd0c9..bc933ecdee 100644 --- a/notebook/agentchat_surfer.ipynb +++ b/notebook/agentchat_surfer.ipynb @@ -35,7 +35,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", "\n", "It first looks for environment variable \"OAI_CONFIG_LIST\" which needs to be a valid json string. If that variable is not found, it then looks for a json file named \"OAI_CONFIG_LIST\". It filters the configs by models (you can filter by other keys as well).\n", "\n", diff --git a/notebook/agentchat_swarm.ipynb b/notebook/agentchat_swarm.ipynb index 5cf6d3b2ee..3eee1eff4b 100644 --- a/notebook/agentchat_swarm.ipynb +++ b/notebook/agentchat_swarm.ipynb @@ -38,7 +38,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_swarm_enhanced.ipynb b/notebook/agentchat_swarm_enhanced.ipynb index 70a83c2895..adb41941c2 100644 --- a/notebook/agentchat_swarm_enhanced.ipynb +++ b/notebook/agentchat_swarm_enhanced.ipynb @@ -41,7 +41,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_swarm_w_groupchat_legacy.ipynb b/notebook/agentchat_swarm_w_groupchat_legacy.ipynb index 59b000919e..44219c888b 100644 --- a/notebook/agentchat_swarm_w_groupchat_legacy.ipynb +++ b/notebook/agentchat_swarm_w_groupchat_legacy.ipynb @@ -50,7 +50,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_teachability.ipynb b/notebook/agentchat_teachability.ipynb index a7bd6bf1d7..005e3c340f 100644 --- a/notebook/agentchat_teachability.ipynb +++ b/notebook/agentchat_teachability.ipynb @@ -37,7 +37,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_teachable_oai_assistants.ipynb b/notebook/agentchat_teachable_oai_assistants.ipynb index 3b77b4730c..1e2f53bc76 100644 --- a/notebook/agentchat_teachable_oai_assistants.ipynb +++ b/notebook/agentchat_teachable_oai_assistants.ipynb @@ -41,7 +41,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { diff --git a/notebook/agentchat_two_users.ipynb b/notebook/agentchat_two_users.ipynb index 1b1cb9bd2a..eb0f497282 100644 --- a/notebook/agentchat_two_users.ipynb +++ b/notebook/agentchat_two_users.ipynb @@ -46,7 +46,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n", "\n", "It first looks for an environment variable of a specified name (\"OAI_CONFIG_LIST\" in this example), which needs to be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by models (you can filter by other keys as well).\n", "\n", diff --git a/notebook/agentchat_web_info.ipynb b/notebook/agentchat_web_info.ipynb index 7c2a021646..e3581f36ee 100644 --- a/notebook/agentchat_web_info.ipynb +++ b/notebook/agentchat_web_info.ipynb @@ -51,7 +51,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file.\n" ] }, { diff --git a/notebook/agentchat_websockets.ipynb b/notebook/agentchat_websockets.ipynb index 13bbdbfa74..1cfdf6a062 100644 --- a/notebook/agentchat_websockets.ipynb +++ b/notebook/agentchat_websockets.ipynb @@ -42,7 +42,7 @@ "source": [ "## Set your API Endpoint\n", "\n", - "The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." + "The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file." ] }, { @@ -92,7 +92,7 @@ "An `on_connect` function is a crucial part of applications that utilize websockets, acting as an event handler that is called whenever a new client connection is established. This function is designed to initiate any necessary setup, communication protocols, or data exchange procedures specific to the newly connected client. Essentially, it lays the groundwork for the interactive session that follows, configuring how the server and the client will communicate and what initial actions are to be taken once a connection is made. Now, let's delve into the details of how to define this function, especially in the context of using the AG2 framework with websockets.\n", "\n", "\n", - "Upon a client's connection to the websocket server, the server automatically initiates a new instance of the [`IOWebsockets`](https://docs.ag2.ai/reference/autogen/io/IOWebsockets#iowebsockets) class. This instance is crucial for managing the data flow between the server and the client. The `on_connect` function leverages this instance to set up the communication protocol, define interaction rules, and initiate any preliminary data exchanges or configurations required for the client-server interaction to proceed smoothly.\n" + "Upon a client's connection to the websocket server, the server automatically initiates a new instance of the [`IOWebsockets`](https://docs.ag2.ai/docs/api-reference/autogen/io/IOWebsockets#iowebsockets) class. This instance is crucial for managing the data flow between the server and the client. The `on_connect` function leverages this instance to set up the communication protocol, define interaction rules, and initiate any preliminary data exchanges or configurations required for the client-server interaction to proceed smoothly.\n" ] }, { diff --git a/notebook/agenteval_cq_math.ipynb b/notebook/agenteval_cq_math.ipynb index 6d66435274..86da765d3f 100644 --- a/notebook/agenteval_cq_math.ipynb +++ b/notebook/agenteval_cq_math.ipynb @@ -117,7 +117,7 @@ }, "source": [ "## Set your API Endpoint\n", - "* The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. It first looks for an environment variable with a specified name. The value of the environment variable needs to be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by filter_dict.\n", + "* The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. It first looks for an environment variable with a specified name. The value of the environment variable needs to be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by filter_dict.\n", "\n", "You can set the value of config_list in any way you prefer. Please refer to this [User Guide](https://docs.ag2.ai/docs/topics/llm_configuration) for full code examples of the different methods.\n" ] diff --git a/notebook/config_loader_utility_functions.ipynb b/notebook/config_loader_utility_functions.ipynb index 924d787b0e..86960a5ca0 100644 --- a/notebook/config_loader_utility_functions.ipynb +++ b/notebook/config_loader_utility_functions.ipynb @@ -155,7 +155,7 @@ "source": [ "### config_list_from_models\n", "\n", - "This method creates configurations based on a provided list of models. It's useful when you have specific models in mind and don't want to manually specify each configuration. The [`config_list_from_models`](/reference/autogen/config_list_from_models#config-list-from-models) function tries to create a list of configurations using Azure OpenAI endpoints and OpenAI endpoints for the provided list of models. It assumes the api keys and api bases are stored in the corresponding environment variables or local txt files. It's okay to only have the OpenAI API key, OR only the Azure OpenAI API key + base. For Azure the model name refers to the OpenAI Studio deployment name.\n", + "This method creates configurations based on a provided list of models. It's useful when you have specific models in mind and don't want to manually specify each configuration. The [`config_list_from_models`](/docs/api-reference/autogen/config_list_from_models#config-list-from-models) function tries to create a list of configurations using Azure OpenAI endpoints and OpenAI endpoints for the provided list of models. It assumes the api keys and api bases are stored in the corresponding environment variables or local txt files. It's okay to only have the OpenAI API key, OR only the Azure OpenAI API key + base. For Azure the model name refers to the OpenAI Studio deployment name.\n", "\n", "Steps:\n", "- Similar to method 1, store API keys and bases either in environment variables or `.txt` files." diff --git a/notebook/oai_completion.ipynb b/notebook/oai_completion.ipynb index 4f680c44fc..c7f6563b0c 100644 --- a/notebook/oai_completion.ipynb +++ b/notebook/oai_completion.ipynb @@ -68,7 +68,7 @@ " - OpenAI API key: os.environ[\"OPENAI_API_KEY\"] or `openai_api_key_file=\"key_openai.txt\"`.\n", " - Azure OpenAI API key: os.environ[\"AZURE_OPENAI_API_KEY\"] or `aoai_api_key_file=\"key_aoai.txt\"`. Multiple keys can be stored, one per line.\n", " - Azure OpenAI API base: os.environ[\"AZURE_OPENAI_API_BASE\"] or `aoai_api_base_file=\"base_aoai.txt\"`. Multiple bases can be stored, one per line.\n", - "* The [`config_list_from_json`](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. It first looks for the environment variable `env_or_file`, which must be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by filter_dict.\n", + "* The [`config_list_from_json`](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json) function loads a list of configurations from an environment variable or a json file. It first looks for the environment variable `env_or_file`, which must be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by filter_dict.\n", "\n", "It's OK to have only the OpenAI API key, or only the Azure OpenAI API key + base. If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choosing \"upload file\" icon.\n" ] diff --git a/website/_blogs/2023-12-29-AgentDescriptions/index.mdx b/website/_blogs/2023-12-29-AgentDescriptions/index.mdx index eea3180caf..f098ebd7a0 100644 --- a/website/_blogs/2023-12-29-AgentDescriptions/index.mdx +++ b/website/_blogs/2023-12-29-AgentDescriptions/index.mdx @@ -7,7 +7,7 @@ tags: [AutoGen] ## TL;DR -AutoGen 0.2.2 introduces a [description](https://docs.ag2.ai/reference/autogen/ConversableAgent#conversableagent) field to ConversableAgent (and all subclasses), and changes GroupChat so that it uses agent `description`s rather than `system_message`s when choosing which agents should speak next. +AutoGen 0.2.2 introduces a [description](https://docs.ag2.ai/docs/api-reference/autogen/ConversableAgent#conversableagent) field to ConversableAgent (and all subclasses), and changes GroupChat so that it uses agent `description`s rather than `system_message`s when choosing which agents should speak next. This is expected to simplify GroupChat’s job, improve orchestration, and make it easier to implement new GroupChat or GroupChat-like alternatives. @@ -17,9 +17,9 @@ However, if you were struggling with getting GroupChat to work, you can now try ## Introduction -As AutoGen matures and developers build increasingly complex combinations of agents, orchestration is becoming an important capability. At present, [GroupChat](https://docs.ag2.ai/reference/autogen/GroupChat#groupchat) and the [GroupChatManager](https://docs.ag2.ai/reference/autogen/GroupChatManager#groupchatmanager) are the main built-in tools for orchestrating conversations between 3 or more agents. For orchestrators like GroupChat to work well, they need to know something about each agent so that they can decide who should speak and when. Prior to AutoGen 0.2.2, GroupChat relied on each agent's `system_message` and `name` to learn about each participating agent. This is likely fine when the system prompt is short and sweet, but can lead to problems when the instructions are very long (e.g., with the [AssistantAgent](https://docs.ag2.ai/docs/api-reference/autogen/AssistantAgent)), or non-existent (e.g., with the [UserProxyAgent](https://docs.ag2.ai/docs/api-reference/autogen/UserProxyAgent)). +As AutoGen matures and developers build increasingly complex combinations of agents, orchestration is becoming an important capability. At present, [GroupChat](https://docs.ag2.ai/docs/api-reference/autogen/GroupChat#groupchat) and the [GroupChatManager](https://docs.ag2.ai/docs/api-reference/autogen/GroupChatManager#groupchatmanager) are the main built-in tools for orchestrating conversations between 3 or more agents. For orchestrators like GroupChat to work well, they need to know something about each agent so that they can decide who should speak and when. Prior to AutoGen 0.2.2, GroupChat relied on each agent's `system_message` and `name` to learn about each participating agent. This is likely fine when the system prompt is short and sweet, but can lead to problems when the instructions are very long (e.g., with the [AssistantAgent](https://docs.ag2.ai/docs/api-reference/autogen/AssistantAgent)), or non-existent (e.g., with the [UserProxyAgent](https://docs.ag2.ai/docs/api-reference/autogen/UserProxyAgent)). -AutoGen 0.2.2 introduces a [description](https://docs.ag2.ai/reference/autogen/ConversableAgent#conversableagent) field to all agents, and replaces the use of the `system_message` for orchestration in GroupChat and all future orchestrators. The `description` field defaults to the `system_message` to ensure backwards compatibility, so you may not need to change anything with your code if things are working well for you. However, if you were struggling with GroupChat, give setting the `description` field a try. +AutoGen 0.2.2 introduces a [description](https://docs.ag2.ai/docs/api-reference/autogen/ConversableAgent#conversableagent) field to all agents, and replaces the use of the `system_message` for orchestration in GroupChat and all future orchestrators. The `description` field defaults to the `system_message` to ensure backwards compatibility, so you may not need to change anything with your code if things are working well for you. However, if you were struggling with GroupChat, give setting the `description` field a try. The remainder of this post provides an example of how using the `description` field simplifies GroupChat's job, provides some evidence of its effectiveness, and provides tips for writing good descriptions. diff --git a/website/_blogs/2024-01-23-Code-execution-in-docker/index.mdx b/website/_blogs/2024-01-23-Code-execution-in-docker/index.mdx index 33ed74ec98..8de32e1c93 100644 --- a/website/_blogs/2024-01-23-Code-execution-in-docker/index.mdx +++ b/website/_blogs/2024-01-23-Code-execution-in-docker/index.mdx @@ -55,7 +55,7 @@ user_proxy = autogen.UserProxyAgent(name="user_proxy", llm_config=llm_config, ## Related documentation - [Code execution with docker](https://docs.ag2.ai/docs/installation/Installation#install-docker-for-code-execution) -- [How to disable code execution in docker](https://docs.ag2.ai/docs/FAQ#agents-are-throwing-due-to-docker-not-running-how-can-i-resolve-this) +- [How to disable code execution in docker](https://docs.ag2.ai/docs/faq/FAQ#agents-are-throwing-due-to-docker-not-running-how-can-i-resolve-this) ## Conclusion diff --git a/website/_blogs/2024-06-24-AltModels-Classes/index.mdx b/website/_blogs/2024-06-24-AltModels-Classes/index.mdx index 0e7b5e7464..6ccbc5a866 100644 --- a/website/_blogs/2024-06-24-AltModels-Classes/index.mdx +++ b/website/_blogs/2024-06-24-AltModels-Classes/index.mdx @@ -109,7 +109,7 @@ Add your model configurations to the `OAI_CONFIG_LIST`. Ensure you specify the ` ### Usage -The `[config_list_from_json](https://docs.ag2.ai/reference/autogen/config_list_from_json#config-list-from-json)` function loads a list of configurations from an environment variable or a json file. +The `[config_list_from_json](https://docs.ag2.ai/docs/api-reference/autogen/config_list_from_json#config-list-from-json)` function loads a list of configurations from an environment variable or a json file. ```py import autogen diff --git a/website/_blogs/2024-11-27-Prompt-Leakage-Probing/index.mdx b/website/_blogs/2024-11-27-Prompt-Leakage-Probing/index.mdx index 8fecfee516..b635d0c8dd 100644 --- a/website/_blogs/2024-11-27-Prompt-Leakage-Probing/index.mdx +++ b/website/_blogs/2024-11-27-Prompt-Leakage-Probing/index.mdx @@ -83,7 +83,7 @@ The **Prompt Leakage Probing Framework** leverages key agentic design patterns f - The chat has a [custom speaker selection](https://docs.ag2.ai/docs/use-cases/notebooks/notebooks/agentchat_groupchat_customized) method implemented so that it guarantees the prompt->response->classification chat flow. 2. **ConversableAgents** - - The system includes two [ConversableAgents](https://docs.ag2.ai/reference/autogen/ConversableAgent#conversableagent): + - The system includes two [ConversableAgents](https://docs.ag2.ai/docs/api-reference/autogen/ConversableAgent#conversableagent): - [`PromptGeneratorAgent`](https://github.com/airtai/prompt-leakage-probing/blob/efe9c286236e92c4f6366daa60da2282add3ca95/prompt_leakage_probing/workflow/agents/prompt_leakage_black_box/prompt_leakage_black_box.py#L7): Responsible for creating adversarial prompts aimed at probing LLMs. - [`PromptLeakageClassifierAgent`](https://github.com/airtai/prompt-leakage-probing/blob/efe9c286236e92c4f6366daa60da2282add3ca95/prompt_leakage_probing/workflow/agents/prompt_leakage_classifier/prompt_leakage_classifier.py#L7): Evaluates the model's responses to identify prompt leakage. diff --git a/website/_blogs/2024-12-06-FalkorDB-Structured/index.mdx b/website/_blogs/2024-12-06-FalkorDB-Structured/index.mdx index 9cbba958b4..5e35b9f680 100644 --- a/website/_blogs/2024-12-06-FalkorDB-Structured/index.mdx +++ b/website/_blogs/2024-12-06-FalkorDB-Structured/index.mdx @@ -193,7 +193,7 @@ Building on the capability of Swarms, AG2 now allows you to utilise a nested cha Additionally, adding a carry over configurations allow you to control what information from the swarm messages is carried over to the nested chat. Options include bringing over context from all messages, the last message, an LLM summary of the messages, or based on a own custom function. -See the [Swarm documentation](https://docs.ag2.ai/docs/topics/swarm#registering-handoffs-to-a-nested-chat) for more information. +See the [Swarm documentation](https://docs.ag2.ai/docs/user-guide/advanced-concepts/enhanced-swarm#nested-chats) for more information. ## For Further Reading diff --git a/website/_blogs/2024-12-20-RealtimeAgent/index.mdx b/website/_blogs/2024-12-20-RealtimeAgent/index.mdx index ace845d63b..c59fca84f9 100644 --- a/website/_blogs/2024-12-20-RealtimeAgent/index.mdx +++ b/website/_blogs/2024-12-20-RealtimeAgent/index.mdx @@ -43,7 +43,7 @@ Traditionally, conversational AI tasks have focused on asynchronous interactions 2. RealtimeAgent swarm integration - Seamless integration of [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent) into Swarm -3. [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/TwilioAudioAdapter#twilioaudioadapter) +3. [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/TwilioAudioAdapter#twilioaudioadapter) - Connects agents to Twilio for telephony support. - Simplifies the process of handling voice calls with clear API methods. diff --git a/website/_blogs/2025-01-08-RealtimeAgent-over-websocket/index.mdx b/website/_blogs/2025-01-08-RealtimeAgent-over-websocket/index.mdx index 54056ea97b..92a8249dfd 100644 --- a/website/_blogs/2025-01-08-RealtimeAgent-over-websocket/index.mdx +++ b/website/_blogs/2025-01-08-RealtimeAgent-over-websocket/index.mdx @@ -13,27 +13,27 @@ tags: [Realtime API, Voice Agents, AI Tools] **TL;DR:** - **Demo implementation**: Implement a website using websockets and communicate using voice with the [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent) -- **Introducing [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter)**: Stream audio directly from your browser using [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/). +- **Introducing [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter)**: Stream audio directly from your browser using [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/). - **Simplified Development**: Connect to real-time agents quickly and effortlessly with minimal setup. # **Realtime over WebSockets** -In our [previous blog post](/docs/blog/2024-12-20-RealtimeAgent/index), we introduced a way to interact with the [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent) using [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/TwilioAudioAdapter#twilioaudioadapter). While effective, this approach required a setup-intensive process involving [Twilio](https://www.twilio.com/) integration, account configuration, number forwarding, and other complexities. Today, we're excited to introduce the[**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter), a streamlined approach to real-time audio streaming directly via a web browser. +In our [previous blog post](/docs/blog/2024-12-20-RealtimeAgent/index), we introduced a way to interact with the [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent) using [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/TwilioAudioAdapter#twilioaudioadapter). While effective, this approach required a setup-intensive process involving [Twilio](https://www.twilio.com/) integration, account configuration, number forwarding, and other complexities. Today, we're excited to introduce the[**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter), a streamlined approach to real-time audio streaming directly via a web browser. -This post explores the features, benefits, and implementation of the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter), showing how it transforms the way we connect with real-time agents. +This post explores the features, benefits, and implementation of the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter), showing how it transforms the way we connect with real-time agents. -## **Why We Built the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter)** +## **Why We Built the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter)** ### **Challenges with Existing Solutions** -Previously introduced [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/TwilioAudioAdapter#twilioaudioadapter) provides a robust way to cennect to your [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent), it comes with challenges: +Previously introduced [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/TwilioAudioAdapter#twilioaudioadapter) provides a robust way to cennect to your [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent), it comes with challenges: - **Browser Limitations**: For teams building web-first applications, integrating with a telephony platform can feel redundant. - **Complex Setup**: Configuring Twilio accounts, verifying numbers, and setting up forwarding can be time-consuming. - **Platform Dependency**: This solution requires developers to rely on external API, which adds latency and costs. ### **Our Solution** -The [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter) eliminates these challenges by allowing direct audio streaming over [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/). It integrates seamlessly with modern web technologies, enabling real-time voice interactions without external telephony platforms. +The [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter) eliminates these challenges by allowing direct audio streaming over [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/). It integrates seamlessly with modern web technologies, enabling real-time voice interactions without external telephony platforms. ## **How It Works** -At its core, the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter) leverages [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/) to handle real-time audio streaming. This means your browser becomes the communication bridge, sending audio packets to a server where a [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent) agent processes them. +At its core, the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter) leverages [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/) to handle real-time audio streaming. This means your browser becomes the communication bridge, sending audio packets to a server where a [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent) agent processes them. Here’s a quick overview of its components and how they fit together: @@ -49,7 +49,7 @@ Here’s a quick overview of its components and how they fit together: ## **Key Features** ### **1. Simplified Setup** -Unlike [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/TwilioAudioAdapter#twilioaudioadapter), the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter) requires no phone numbers, no telephony configuration, and no external accounts. It's a plug-and-play solution. +Unlike [**`TwilioAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/TwilioAudioAdapter#twilioaudioadapter), the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter) requires no phone numbers, no telephony configuration, and no external accounts. It's a plug-and-play solution. ### **2. Real-Time Performance** By streaming audio over [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/), the adapter ensures low latency, making conversations feel natural and seamless. @@ -61,7 +61,7 @@ Everything happens within the user's browser, meaning no additional software is Whether you're building a chatbot, a voice assistant, or an interactive application, the adapter can integrate easily with existing frameworks and AI systems. ## **Example: Build a Voice-Enabled Weather Bot** -Let’s walk through a practical example where we use the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter) to create a voice-enabled weather bot. +Let’s walk through a practical example where we use the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter) to create a voice-enabled weather bot. You can find the full example [here](https://github.com/ag2ai/realtime-agent-over-websockets/tree/main). To run the demo example, follow these steps: @@ -173,7 +173,7 @@ async def handle_media_stream(websocket: WebSocket) -> None: logger = getLogger("uvicorn.error") ``` 3. **Set Up the `WebSocketAudioAdapter`** - The [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter) bridges the client’s audio stream with the [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent). It streams audio data over [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/) in real time, ensuring seamless communication between the browser and the agent. + The [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter) bridges the client’s audio stream with the [**`RealtimeAgent`**](/docs/reference/agentchat/realtime_agent/realtime_agent). It streams audio data over [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/) in real time, ensuring seamless communication between the browser and the agent. ```python audio_adapter = WebSocketAudioAdapter(websocket, logger=logger) @@ -184,7 +184,7 @@ async def handle_media_stream(websocket: WebSocket) -> None: - **Name**: The agent identity, here called `"Weather Bot"`. - **System Message**: System message for the agent. - **Language Model Configuration**: Defined by `realtime_llm_config` for LLM settings. - - **Audio Adapter**: Connects the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter) for handling audio. + - **Audio Adapter**: Connects the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter) for handling audio. - **Logger**: Logs the agent's activities for better observability. ```python @@ -256,6 +256,6 @@ async def handle_media_stream(websocket: WebSocket) -> None: - **User-Friendly**: Runs in the browser, making it accessible to anyone with a microphone. ## **Conclusion** -The [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter) marks a shift toward simpler, more accessible real-time audio solutions. It empowers developers to build and deploy voice applications faster and more efficiently. Whether you're creating an AI assistant, a voice-enabled app, or an experimental project, this adapter is your go-to tool for real-time audio streaming. +The [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter) marks a shift toward simpler, more accessible real-time audio solutions. It empowers developers to build and deploy voice applications faster and more efficiently. Whether you're creating an AI assistant, a voice-enabled app, or an experimental project, this adapter is your go-to tool for real-time audio streaming. Try it out and bring your voice-enabled ideas to life! diff --git a/website/_blogs/2025-01-09-RealtimeAgent-over-WebRTC/index.mdx b/website/_blogs/2025-01-09-RealtimeAgent-over-WebRTC/index.mdx index 2886850183..568a808b34 100644 --- a/website/_blogs/2025-01-09-RealtimeAgent-over-WebRTC/index.mdx +++ b/website/_blogs/2025-01-09-RealtimeAgent-over-WebRTC/index.mdx @@ -17,7 +17,7 @@ tags: [Realtime API, Voice Agents, AI Tools, WebRTC] # **Realtime Voice Applications with WebRTC** -In our [previous blog post](/docs/blog/2025-01-08-RealtimeAgent-over-websocket), we introduced the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime_agent/WebSocketAudioAdapter#websocketaudioadapter), a simple way to stream real-time audio using [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/). While effective, [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/) can face challenges with quality and reliability in high-latency or network-variable scenarios. Enter [WebRTC](https://webrtc.org/). +In our [previous blog post](/docs/blog/2025-01-08-RealtimeAgent-over-websocket), we introduced the [**`WebSocketAudioAdapter`**](/docs/api-reference/autogen/agentchat/realtime/experimental/WebSocketAudioAdapter#websocketaudioadapter), a simple way to stream real-time audio using [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/). While effective, [WebSockets](https://fastapi.tiangolo.com/advanced/websockets/) can face challenges with quality and reliability in high-latency or network-variable scenarios. Enter [WebRTC](https://webrtc.org/). Today, we’re excited to showcase the integration with [OpenAI Realtime API with WebRTC](https://platform.openai.com/docs/guides/realtime-webrtc), leveraging WebRTC’s peer-to-peer communication capabilities to provide a robust, low-latency, high-quality audio streaming experience directly from the browser. diff --git a/website/contributor-guide/Migration-Guide.mdx b/website/docs/contributor-guide/Migration-Guide.mdx similarity index 91% rename from website/contributor-guide/Migration-Guide.mdx rename to website/docs/contributor-guide/Migration-Guide.mdx index a22971199d..30c0975c9f 100644 --- a/website/contributor-guide/Migration-Guide.mdx +++ b/website/docs/contributor-guide/Migration-Guide.mdx @@ -28,7 +28,7 @@ autogen.runtime_logging.start() # Stop logging autogen.runtime_logging.stop() ``` -Checkout [Logging documentation](/docs/Use-Cases/enhanced_inference#logging) and [Logging example notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agentchat_logging.ipynb) to learn more. +Checkout [Logging example notebook](https://github.com/ag2ai/ag2/blob/main/notebook/agentchat_logging.ipynb) to learn more. Inference parameter tuning can be done via [`flaml.tune`](https://microsoft.github.io/FLAML/docs/Use-Cases/Tune-User-Defined-Function). - `seed` in autogen is renamed into `cache_seed` to accommodate the newly added `seed` param in openai chat completion api. `use_cache` is removed as a kwarg in `OpenAIWrapper.create()` for being automatically decided by `cache_seed`: int | None. The difference between autogen's `cache_seed` and openai's `seed` is that: diff --git a/website/contributor-guide/Research.mdx b/website/docs/contributor-guide/Research.mdx similarity index 100% rename from website/contributor-guide/Research.mdx rename to website/docs/contributor-guide/Research.mdx diff --git a/website/contributor-guide/contributing.mdx b/website/docs/contributor-guide/contributing.mdx similarity index 100% rename from website/contributor-guide/contributing.mdx rename to website/docs/contributor-guide/contributing.mdx diff --git a/website/contributor-guide/documentation.mdx b/website/docs/contributor-guide/documentation.mdx similarity index 100% rename from website/contributor-guide/documentation.mdx rename to website/docs/contributor-guide/documentation.mdx diff --git a/website/contributor-guide/file-bug-report.mdx b/website/docs/contributor-guide/file-bug-report.mdx similarity index 100% rename from website/contributor-guide/file-bug-report.mdx rename to 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a/website/ecosystem/promptflow.mdx b/website/docs/ecosystem/promptflow.mdx similarity index 100% rename from website/ecosystem/promptflow.mdx rename to website/docs/ecosystem/promptflow.mdx diff --git a/website/faq/FAQ.mdx b/website/docs/faq/FAQ.mdx similarity index 97% rename from website/faq/FAQ.mdx rename to website/docs/faq/FAQ.mdx index 7087a93bbb..252fc7b365 100644 --- a/website/faq/FAQ.mdx +++ b/website/docs/faq/FAQ.mdx @@ -43,7 +43,7 @@ When you call `initiate_chat` the conversation restarts by default. You can use - [`max_consecutive_auto_reply`](/docs/api-reference/autogen/ConversableAgent#max-consecutive-auto-reply-2) the maximum number of consecutive auto replie (a reply from an agent without human input is considered an auto reply). It plays a role when `human_input_mode` is not "ALWAYS". - [`max_turns` in `ConversableAgent.initiate_chat`](/docs/api-reference/autogen/ConversableAgent#initiate-chat) limits the number of conversation turns between two conversable agents (without differentiating auto-reply and reply/input from human) -- [`max_round` in GroupChat](https://docs.ag2.ai/reference/autogen/GroupChat#groupchat) specifies the maximum number of rounds in a group chat session. +- [`max_round` in GroupChat](https://docs.ag2.ai/docs/api-reference/autogen/GroupChat#groupchat) specifies the maximum number of rounds in a group chat session. ## How do we decide what LLM is used for each agent? How many agents can be used? How do we decide how many agents in the group? @@ -212,7 +212,7 @@ with Cache.redis(redis_url=...) as cache: agent_a.initate_chat(agent_b, ..., cache=cache) ``` -You can also disable the cache. See [here](/docs/topics/llm-caching#disabling-cache) for details. +You can also disable the cache. See [here](/docs/user-guide/advanced-concepts/llm-configuration-deep-dive#ag2-specific-parameters) for details. ## Agents are throwing due to docker not running, how can I resolve this? diff --git a/website/docs/installation/Installation.mdx b/website/docs/installation/Installation.mdx index 0761255377..585d1ac858 100644 --- a/website/docs/installation/Installation.mdx +++ b/website/docs/installation/Installation.mdx @@ -100,4 +100,4 @@ with DockerCommandLineCodeExecutor(work_dir=work_dir) as code_executor: To learn more about code executors, see the [code executors tutorial](/docs/tutorial/code-executors). You might have seen a different way of defining the executors without creating the -executor object, please refer to FAQ for this [legacy code executor](/docs/FAQ#legacy-code-executor). +executor object, please refer to FAQ for this [legacy code executor](/docs/faq/FAQ#legacy-code-executor). diff --git a/website/docs/tutorial/code-executors.ipynb b/website/docs/tutorial/code-executors.ipynb index 45baf4d34d..c512640891 100644 --- a/website/docs/tutorial/code-executors.ipynb +++ b/website/docs/tutorial/code-executors.ipynb @@ -35,9 +35,9 @@ "\n", "| Code Executor (`autogen.coding`) | Environment | Platform |\n", "| ---------------------------- | ----------- | -------- |\n", - "| [`LocalCommandLineCodeExecutor`](/reference/autogen/coding/LocalCommandLineCodeExecutor#localcommandlinecodeexecutor) | Shell | Local |\n", - "| [`DockerCommandLineCodeExecutor`](/reference/autogen/coding/DockerCommandLineCodeExecutor#dockercommandlinecodeexecutor) | Shell | Docker |\n", - "| [`jupyter.JupyterCodeExecutor`](/reference/autogen/coding/jupyter/JupyterCodeExecutor#jupytercodeexecutor) | Jupyter Kernel (e.g., python3) | Local/Docker |\n", + "| [`LocalCommandLineCodeExecutor`](/docs/api-reference/autogen/coding/LocalCommandLineCodeExecutor#localcommandlinecodeexecutor) | Shell | Local |\n", + "| [`DockerCommandLineCodeExecutor`](/docs/api-reference/autogen/coding/DockerCommandLineCodeExecutor#dockercommandlinecodeexecutor) | Shell | Docker |\n", + "| [`jupyter.JupyterCodeExecutor`](/docs/api-reference/autogen/coding/jupyter/JupyterCodeExecutor) | Jupyter Kernel (e.g., python3) | Local/Docker |\n", "\n", "In this chapter, we will focus on the command line code executors.\n", "For the Jupyter code executor, please refer to the topic page for \n", @@ -51,7 +51,7 @@ "## Local Execution\n", "\n", "The figure below shows the architecture of the local command line code executor\n", - "([`autogen.coding.LocalCommandLineCodeExecutor`](/reference/autogen/coding/LocalCommandLineCodeExecutor#localcommandlinecodeexecutor)).\n", + "([`autogen.coding.LocalCommandLineCodeExecutor`](/docs/api-reference/autogen/coding/LocalCommandLineCodeExecutor#localcommandlinecodeexecutor)).\n", "\n", "````mdx-code-block\n", ":::danger\n", @@ -227,7 +227,7 @@ "\n", "To mitigate the security risk of running LLM-generated code locally, \n", "we can use the docker command line code executor \n", - "([`autogen.coding.DockerCommandLineCodeExecutor`](/reference/autogen/coding/DockerCommandLineCodeExecutor#dockercommandlinecodeexecutor))\n", + "([`autogen.coding.DockerCommandLineCodeExecutor`](/docs/api-reference/autogen/coding/DockerCommandLineCodeExecutor#dockercommandlinecodeexecutor))\n", "to execute code in a docker container.\n", "This way, the generated code can only access resources that are explicitly \n", "given to it.\n", @@ -695,10 +695,10 @@ "### User Proxy Agent\n", "\n", "In the previous examples, we create the code executor agent directly using\n", - "the [`ConversableAgent`](/reference/autogen/ConversableAgent#conversableagent) class. Existing AG2 examples often create \n", + "the [`ConversableAgent`](/docs/api-reference/autogen/ConversableAgent#conversableagent) class. Existing AG2 examples often create \n", "code executor agent using the [`UserProxyAgent`](/reference/autogen/UserProxyAgent#userproxyagent) class, \n", "which is a subclass of\n", - "[`ConversableAgent`](/reference/autogen/ConversableAgent#conversableagent) with `human_input_mode=ALWAYS` and `llm_config=False` --\n", + "[`ConversableAgent`](/docs/api-reference/autogen/ConversableAgent#conversableagent) with `human_input_mode=ALWAYS` and `llm_config=False` --\n", "it always requests human input for every message and does not use LLM.\n", "It also comes with default `description` field for each of the\n", "`human_input_mode` setting.\n", @@ -714,16 +714,16 @@ "### Assistant Agent\n", "\n", "In the previous examples, we created the code writer agent directly using\n", - "the [`ConversableAgent`](/reference/autogen/ConversableAgent#conversableagent) class. Existing AG2 examples often create the code writer\n", - "agent using the [`AssistantAgent`](/reference/autogen/AssistantAgent#assistantagent) class, which is a subclass of\n", - "[`ConversableAgent`](/reference/autogen/ConversableAgent#conversableagent) with `human_input_mode=NEVER` and `code_execution_config=False` \n", + "the [`ConversableAgent`](/docs/api-reference/autogen/ConversableAgent#conversableagent) class. Existing AG2 examples often create the code writer\n", + "agent using the [`AssistantAgent`](/docs/api-reference/autogen/AssistantAgent#assistantagent) class, which is a subclass of\n", + "[`ConversableAgent`](/docs/api-reference/autogen/ConversableAgent#conversableagent) with `human_input_mode=NEVER` and `code_execution_config=False` \n", "-- it never requests human input and does not use code executor.\n", "It also comes with default `system_message` and `description` fields.\n", "This class is a convenient short-cut for creating an agent that is\n", "intended to be used as a code writer and does not execute code.\n", "\n", "In fact, in the previous example we use the default `system_message` field\n", - "of the [`AssistantAgent`](/reference/autogen/AssistantAgent#assistantagent) class to instruct the code writer agent how to use\n", + "of the [`AssistantAgent`](/docs/api-reference/autogen/AssistantAgent#assistantagent) class to instruct the code writer agent how to use\n", "code executor." ] }, @@ -786,9 +786,9 @@ "source": [ "### Best Practice\n", "\n", - "It is very important to note that the [`UserProxyAgent`](/reference/autogen/UserProxyAgent#userproxyagent) and [`AssistantAgent`](/reference/autogen/AssistantAgent#assistantagent)\n", + "It is very important to note that the [`UserProxyAgent`](/reference/autogen/UserProxyAgent#userproxyagent) and [`AssistantAgent`](/docs/api-reference/autogen/AssistantAgent#assistantagent)\n", "are meant to be shortcuts to avoid writing the `system_message` instructions\n", - "for the [`ConversableAgent`](/reference/autogen/ConversableAgent#conversableagent) class. \n", + "for the [`ConversableAgent`](/docs/api-reference/autogen/ConversableAgent#conversableagent) class. \n", "They are not suitable for all use cases.\n", "As we will show in the next chapter, tuning the \n", "`system_message` field\n", @@ -797,7 +797,7 @@ "\n", "As a best practice, always tune your agent's `system_message` instructions\n", "for your specific use case and avoid subclassing [`UserProxyAgent`](/reference/autogen/UserProxyAgent#userproxyagent) and\n", - "[`AssistantAgent`](/reference/autogen/AssistantAgent#assistantagent)." + "[`AssistantAgent`](/docs/api-reference/autogen/AssistantAgent#assistantagent)." ] }, { diff --git a/website/docs/tutorial/conversation-patterns.ipynb b/website/docs/tutorial/conversation-patterns.ipynb index dab9f190e9..20c3da0e8e 100644 --- a/website/docs/tutorial/conversation-patterns.ipynb +++ b/website/docs/tutorial/conversation-patterns.ipynb @@ -1559,7 +1559,7 @@ "metadata": {}, "source": [ "The implementation of the nested chats handler makes use of the\n", - "[`register_reply`](/reference/autogen/ConversableAgent#register-reply)\n", + "[`register_reply`](/docs/api-reference/autogen/ConversableAgent#register-reply)\n", "method, which allows you to make extensive customization to\n", " `ConversableAgent`. The GroupChatManager uses the same mechanism to implement the group chat.\n", "\n", @@ -1579,7 +1579,7 @@ "\n", "In this chapter, we covered two-agent chat, sequential chat, group chat,\n", "and nested chat patterns. You can compose these patterns like LEGO blocks to \n", - "create complex workflows. You can also use [`register_reply`](/reference/autogen/ConversableAgent#register-reply) to create new patterns.\n", + "create complex workflows. You can also use [`register_reply`](/docs/api-reference/autogen/ConversableAgent#register-reply) to create new patterns.\n", "\n", "This is the last chapter on basic AutoGen concepts. \n", "In the next chatper, we will give you some tips on what to do next." diff --git a/website/docs/tutorial/introduction.ipynb b/website/docs/tutorial/introduction.ipynb index db40e2e49f..037b680f34 100644 --- a/website/docs/tutorial/introduction.ipynb +++ b/website/docs/tutorial/introduction.ipynb @@ -65,7 +65,7 @@ "\n", "You can switch each component on or off and customize it to suit the need of \n", "your application. For advanced users, you can add additional components to the agent\n", - "by using [`registered_reply`](/reference/autogen/ConversableAgent#register-reply). " + "by using [`registered_reply`](/docs/api-reference/autogen/ConversableAgent#register-reply). " ] }, { diff --git a/website/docs/tutorial/tool-use.ipynb b/website/docs/tutorial/tool-use.ipynb index 55b39ad709..02992be79c 100644 --- a/website/docs/tutorial/tool-use.ipynb +++ b/website/docs/tutorial/tool-use.ipynb @@ -163,10 +163,10 @@ "for it to be useful in conversation. \n", "The agent registered with the tool's signature\n", "through \n", - "[`register_for_llm`](/reference/autogen/ConversableAgent#register-for-llm)\n", + "[`register_for_llm`](/docs/api-reference/autogen/ConversableAgent#register-for-llm)\n", "can call the tool;\n", "the agent registered with the tool's function object through \n", - "[`register_for_execution`](/reference/autogen/ConversableAgent#register-for-execution)\n", + "[`register_for_execution`](/docs/api-reference/autogen/ConversableAgent#register-for-execution)\n", "can execute the tool's function." ] }, @@ -175,7 +175,7 @@ "metadata": {}, "source": [ "Alternatively, you can use \n", - "[`autogen.register_function`](/reference/autogen/ConversableAgent#register-function)\n", + "[`autogen.register_function`](/docs/api-reference/autogen/ConversableAgent#register-function)\n", "function to register a tool with both agents at once." ] }, diff --git a/website/docs/user-guide/getting-started/Getting-Started.mdx b/website/docs/user-guide/getting-started/Getting-Started.mdx index fce4b4a183..316525c80e 100644 --- a/website/docs/user-guide/getting-started/Getting-Started.mdx +++ b/website/docs/user-guide/getting-started/Getting-Started.mdx @@ -21,13 +21,13 @@ and multi-agent conversation patterns. the orchestration, automation, and optimization of a complex LLM workflow. It maximizes the performance of LLM models and overcomes their weaknesses. - It supports [diverse conversation - patterns](/docs/Use-Cases/agent_chat#supporting-diverse-conversation-patterns) + patterns](/docs/user-guide/advanced-concepts/conversation-patterns-deep-dive) for complex workflows. With customizable and conversable agents, developers can use AG2 to build a wide range of conversation patterns concerning conversation autonomy, the number of agents, and agent conversation topology. - It provides a collection of working systems with different complexities. These systems span a [wide range of - applications](/docs/Use-Cases/agent_chat#diverse-applications-implemented-with-autogen) + applications](/docs/use-cases/community-gallery/community-gallery) from various domains and complexities. This demonstrates how AG2 can easily support diverse conversation patterns. diff --git a/website/mint-json-template.json.jinja b/website/mint-json-template.json.jinja index a94b7d3fed..23530a62d5 100644 --- a/website/mint-json-template.json.jinja +++ b/website/mint-json-template.json.jinja @@ -57,15 +57,15 @@ }, { "name": "Contribute", - "url": "contributor-guide" + "url": "docs/contributor-guide" }, { "name": "FAQs", - "url": "faq" + "url": "docs/faq" }, { "name": "Ecosystem", - "url": "ecosystem" + "url": "docs/ecosystem" }, { "name": "Blog", @@ -169,35 +169,35 @@ { "group": "Contributor Guide", "pages": [ - "contributor-guide/contributing", - "contributor-guide/setup-development-environment", - "contributor-guide/documentation", - "contributor-guide/file-bug-report", - "contributor-guide/maintainer", - "contributor-guide/pre-commit", - "contributor-guide/tests", - "contributor-guide/Research" + "docs/contributor-guide/contributing", + "docs/contributor-guide/setup-development-environment", + "docs/contributor-guide/documentation", + "docs/contributor-guide/file-bug-report", + "docs/contributor-guide/maintainer", + "docs/contributor-guide/pre-commit", + "docs/contributor-guide/tests", + "docs/contributor-guide/Research" ] }, { "group": "FAQs", - "pages": ["faq/FAQ"] + "pages": ["docs/faq/FAQ"] }, { "group": "Ecosystem", "pages": [ - "ecosystem/agentops", - "ecosystem/azure_cosmos_db", - "ecosystem/composio", - "ecosystem/databricks", - "ecosystem/llamaindex", - "ecosystem/mem0", - "ecosystem/memgpt", - "ecosystem/microsoft-fabric", - "ecosystem/ollama", - "ecosystem/pgvector", - "ecosystem/portkey", - "ecosystem/promptflow" + "docs/ecosystem/agentops", + "docs/ecosystem/azure_cosmos_db", + "docs/ecosystem/composio", + "docs/ecosystem/databricks", + "docs/ecosystem/llamaindex", + "docs/ecosystem/mem0", + "docs/ecosystem/memgpt", + "docs/ecosystem/microsoft-fabric", + "docs/ecosystem/ollama", + "docs/ecosystem/pgvector", + "docs/ecosystem/portkey", + "docs/ecosystem/promptflow" ] } ], diff --git a/website/user-guide/captainagent/configurations.mdx b/website/user-guide/captainagent/configurations.mdx index a4166b3714..ca7a2d4dc8 100644 --- a/website/user-guide/captainagent/configurations.mdx +++ b/website/user-guide/captainagent/configurations.mdx @@ -34,7 +34,7 @@ If you run CaptainAgent without specifying a `nested_config`, a default is used To see the default configuration and the OpenAI model used, see the [captainagent.py](https://github.com/ag2ai/ag2/blob/ceb75d865d0a7eb2b7c0bc51776e093681e0970e/autogen/agentchat/contrib/captainagent.py) file. -For advice on using OAI_CONFIG_LIST, [see the documentation](/docs/topics/llm_configuration#oai-config-list-pattern). +For advice on using OAI_CONFIG_LIST, [see the documentation](/docs/user-guide/advanced-concepts/llm-configuration-deep-dive#introduction-to-config-list). diff --git a/website/user-guide/llm_configuration.ipynb b/website/user-guide/llm_configuration.ipynb index 0784caf500..7433476666 100644 --- a/website/user-guide/llm_configuration.ipynb +++ b/website/user-guide/llm_configuration.ipynb @@ -123,7 +123,7 @@ "\n", "### `OAI_CONFIG_LIST` pattern\n", "\n", - "A common, useful pattern used is to define this `config_list` via JSON (specified as a file or an environment variable set to a JSON-formatted string) and then use the [`config_list_from_json`](/reference/autogen/config_list_from_json#config-list-from-json) helper function to load it:" + "A common, useful pattern used is to define this `config_list` via JSON (specified as a file or an environment variable set to a JSON-formatted string) and then use the [`config_list_from_json`](/docs/api-reference/autogen/config_list_from_json#config-list-from-json) helper function to load it:" ] }, { @@ -158,7 +158,7 @@ "Being a list allows you to define multiple models that can be used by the agent. This is useful for a few reasons:\n", "\n", "- If one model times out or fails, the agent can try another model.\n", - "- Having a single global list of models and [filtering it](/docs/topics/llm_configuration#config-list-filtering) based on certain keys (e.g. name, tag) in order to pass select models into a certain agent (e.g. use cheaper GPT 3.5 for agents solving easier tasks)\n", + "- Having a single global list of models and [filtering it](/docs/user-guide/advanced-concepts/llm-configuration-deep-dive#config-list-filtering) based on certain keys (e.g. name, tag) in order to pass select models into a certain agent (e.g. use cheaper GPT 3.5 for agents solving easier tasks)\n", "- While the core agents, (e.g. conversable or assistant) do not have special logic around selecting configs, some of the specialized agents *may* have logic to select the best model based on the task at hand.\n", "\n", "### How does an agent decide which model to pick out of the list?\n", @@ -200,7 +200,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Or, directly when loading the config list using [`config_list_from_json`](/reference/autogen/config_list_from_json#config-list-from-json):" + "Or, directly when loading the config list using [`config_list_from_json`](/docs/api-reference/autogen/config_list_from_json#config-list-from-json):" ] }, { @@ -466,7 +466,7 @@ "\n", "- [`get_config_list`](/reference/autogen/get_config_list#get-config-list): Generates configurations for API calls, primarily from provided API keys.\n", "- [`config_list_openai_aoai`](/reference/autogen/config_list_openai_aoai#config-list-openai-aoai): Constructs a list of configurations using both Azure OpenAI and OpenAI endpoints, sourcing API keys from environment variables or local files.\n", - "- [`config_list_from_models`](/reference/autogen/config_list_from_models#config-list-from-models): Creates configurations based on a provided list of models, useful when targeting specific models without manually specifying each configuration.\n", + "- [`config_list_from_models`](/docs/api-reference/autogen/config_list_from_models#config-list-from-models): Creates configurations based on a provided list of models, useful when targeting specific models without manually specifying each configuration.\n", "- [`config_list_from_dotenv`](/reference/autogen/config_list_from_dotenv#config-list-from-dotenv): Constructs a configuration list from a `.env` file, offering a consolidated way to manage multiple API configurations and keys from a single file.\n", "\n", "See [this notebook](https://github.com/ag2ai/ag2/blob/main/notebook/config_loader_utility_functions.ipynb) for examples of using the above functions." From 0c7a1ab9d95ee61aadfb1142218fe3193ef2bc6b Mon Sep 17 00:00:00 2001 From: Kumaran Rajendhiran Date: Tue, 4 Feb 2025 08:39:24 +0530 Subject: [PATCH 7/9] Remove pydantic V1 (#777) * Remove pydantic V1 * Remove deprecated eval_type_lenient * Remove deprecated schema_json_of * Remove _pydantic.py file as pydantic v1 support is removed * Enclose with double quotes to interpret as string instead of integer * polishing --------- Co-authored-by: Davor Runje --- .github/dependabot.yml | 4 +- autogen/_pydantic.py | 116 ------------------ .../contrib/llamaindex_conversable_agent.py | 18 +-- .../contrib/math_user_proxy_agent.py | 9 +- .../contrib/multimodal_conversable_agent.py | 3 +- autogen/agentchat/conversable_agent.py | 3 +- autogen/oai/client.py | 9 +- autogen/tools/function_utils.py | 13 +- pyproject.toml | 4 +- test/test_pydantic.py | 46 ------- test/tools/test_function_utils.py | 44 +------ 11 files changed, 27 insertions(+), 242 deletions(-) delete mode 100644 autogen/_pydantic.py delete mode 100644 test/test_pydantic.py diff --git a/.github/dependabot.yml b/.github/dependabot.yml index 30bbb4ee1e..eb5676c02f 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -9,7 +9,7 @@ updates: schedule: interval: "weekly" day: "monday" - time: 00:00 + time: "00:00" groups: github-actions: patterns: @@ -20,7 +20,7 @@ updates: schedule: interval: "weekly" day: "monday" - time: 00:00 + time: "00:00" groups: pip: patterns: diff --git a/autogen/_pydantic.py b/autogen/_pydantic.py deleted file mode 100644 index 15d41e5c35..0000000000 --- a/autogen/_pydantic.py +++ /dev/null @@ -1,116 +0,0 @@ -# Copyright (c) 2023 - 2025, AG2ai, Inc., AG2ai open-source projects maintainers and core contributors -# -# SPDX-License-Identifier: Apache-2.0 -# -# Portions derived from https://github.com/microsoft/autogen are under the MIT License. -# SPDX-License-Identifier: MIT -from typing import Any, Tuple, Union, get_args - -from pydantic import BaseModel -from pydantic.version import VERSION as PYDANTIC_VERSION -from typing_extensions import get_origin - -__all__ = ("JsonSchemaValue", "evaluate_forwardref", "model_dump", "model_dump_json", "type2schema") - -PYDANTIC_V1 = PYDANTIC_VERSION.startswith("1.") - -if not PYDANTIC_V1: - from pydantic import TypeAdapter - from pydantic._internal._typing_extra import eval_type_lenient as evaluate_forwardref - from pydantic.json_schema import JsonSchemaValue - - def type2schema(t: Any) -> JsonSchemaValue: - """Convert a type to a JSON schema - - Args: - t (Type): The type to convert - - Returns: - JsonSchemaValue: The JSON schema - """ - return TypeAdapter(t).json_schema() - - def model_dump(model: BaseModel) -> dict[str, Any]: - """Convert a pydantic model to a dict - - Args: - model (BaseModel): The model to convert - - Returns: - Dict[str, Any]: The dict representation of the model - - """ - return model.model_dump() - - def model_dump_json(model: BaseModel) -> str: - """Convert a pydantic model to a JSON string - - Args: - model (BaseModel): The model to convert - - Returns: - str: The JSON string representation of the model - """ - return model.model_dump_json() - - -# Remove this once we drop support for pydantic 1.x -else: # pragma: no cover - from pydantic import schema_of - from pydantic.typing import evaluate_forwardref as evaluate_forwardref # type: ignore[no-redef] - - JsonSchemaValue = dict[str, Any] # type: ignore[misc] - - def type2schema(t: Any) -> JsonSchemaValue: - """Convert a type to a JSON schema - - Args: - t (Type): The type to convert - - Returns: - JsonSchemaValue: The JSON schema - """ - if t is None: - return {"type": "null"} - elif get_origin(t) is Union: - return {"anyOf": [type2schema(tt) for tt in get_args(t)]} - # we need to support both syntaxes for Tuple - elif get_origin(t) in [Tuple, tuple]: - prefix_items = [type2schema(tt) for tt in get_args(t)] - return { - "maxItems": len(prefix_items), - "minItems": len(prefix_items), - "prefixItems": prefix_items, - "type": "array", - } - else: - d = schema_of(t) - if "title" in d: - d.pop("title") - if "description" in d: - d.pop("description") - - return d - - def model_dump(model: BaseModel) -> dict[str, Any]: - """Convert a pydantic model to a dict - - Args: - model (BaseModel): The model to convert - - Returns: - Dict[str, Any]: The dict representation of the model - - """ - return model.dict() - - def model_dump_json(model: BaseModel) -> str: - """Convert a pydantic model to a JSON string - - Args: - model (BaseModel): The model to convert - - Returns: - str: The JSON string representation of the model - """ - return model.json() diff --git a/autogen/agentchat/contrib/llamaindex_conversable_agent.py b/autogen/agentchat/contrib/llamaindex_conversable_agent.py index 6fd16395db..90e5284fb3 100644 --- a/autogen/agentchat/contrib/llamaindex_conversable_agent.py +++ b/autogen/agentchat/contrib/llamaindex_conversable_agent.py @@ -13,25 +13,13 @@ logger = get_logger(__name__) -with optional_import_block() as result: +with optional_import_block(): from llama_index.core.agent.runner.base import AgentRunner from llama_index.core.base.llms.types import ChatMessage from llama_index.core.chat_engine.types import AgentChatResponse - from pydantic import BaseModel - from pydantic import __version__ as pydantic_version + from pydantic import BaseModel, ConfigDict -if result.is_successful: - # let's Avoid: AttributeError: type object 'Config' has no attribute 'copy' - # check for v1 like in autogen/_pydantic.py - is_pydantic_v1 = pydantic_version.startswith("1.") - if not is_pydantic_v1: - from pydantic import ConfigDict - - Config = ConfigDict(arbitrary_types_allowed=True) - else: - - class Config: - arbitrary_types_allowed = True + Config = ConfigDict(arbitrary_types_allowed=True) # Add Pydantic configuration to allow arbitrary types # Added to mitigate PydanticSchemaGenerationError diff --git a/autogen/agentchat/contrib/math_user_proxy_agent.py b/autogen/agentchat/contrib/math_user_proxy_agent.py index 2114da7fca..73fcbd4c37 100644 --- a/autogen/agentchat/contrib/math_user_proxy_agent.py +++ b/autogen/agentchat/contrib/math_user_proxy_agent.py @@ -9,9 +9,8 @@ from time import sleep from typing import Any, Callable, Literal, Optional, Union -from pydantic import BaseModel, Extra, root_validator +from pydantic import BaseModel, root_validator -from ..._pydantic import PYDANTIC_V1 from ...code_utils import UNKNOWN, execute_code, extract_code, infer_lang from ...import_utils import optional_import_block, require_optional_import from ...math_utils import get_answer @@ -398,12 +397,6 @@ class WolframAlphaAPIWrapper(BaseModel): wolfram_client: Any #: :meta private: wolfram_alpha_appid: Optional[str] = None - class Config: - """Configuration for this pydantic object.""" - - if PYDANTIC_V1: - extra = Extra.forbid - @root_validator(skip_on_failure=True) @classmethod @require_optional_import("wolframalpha", "mathchat") diff --git a/autogen/agentchat/contrib/multimodal_conversable_agent.py b/autogen/agentchat/contrib/multimodal_conversable_agent.py index 69060d4d00..de4aaeeb33 100644 --- a/autogen/agentchat/contrib/multimodal_conversable_agent.py +++ b/autogen/agentchat/contrib/multimodal_conversable_agent.py @@ -8,7 +8,6 @@ from typing import Optional, Union from ... import OpenAIWrapper -from ..._pydantic import model_dump from ...code_utils import content_str from .. import Agent, ConversableAgent from ..contrib.img_utils import ( @@ -122,5 +121,5 @@ def generate_oai_reply( # TODO: line 301, line 271 is converting messages to dict. Can be removed after ChatCompletionMessage_to_dict is merged. extracted_response = client.extract_text_or_completion_object(response)[0] if not isinstance(extracted_response, str): - extracted_response = model_dump(extracted_response) + extracted_response = extracted_response.model_dump() return True, extracted_response diff --git a/autogen/agentchat/conversable_agent.py b/autogen/agentchat/conversable_agent.py index a4f6203e50..097ebb7068 100644 --- a/autogen/agentchat/conversable_agent.py +++ b/autogen/agentchat/conversable_agent.py @@ -27,7 +27,6 @@ from openai import BadRequestError -from .._pydantic import model_dump from ..cache.cache import AbstractCache from ..code_utils import ( PYTHON_VARIANTS, @@ -1489,7 +1488,7 @@ def _generate_oai_reply_from_client(self, llm_client, messages, cache) -> Union[ return None # ensure function and tool calls will be accepted when sent back to the LLM if not isinstance(extracted_response, str) and hasattr(extracted_response, "model_dump"): - extracted_response = model_dump(extracted_response) + extracted_response = extracted_response.model_dump() if isinstance(extracted_response, dict): if extracted_response.get("function_call"): extracted_response["function_call"]["name"] = self._normalize_name( diff --git a/autogen/oai/client.py b/autogen/oai/client.py index 8f1694fe7c..ef359b4293 100644 --- a/autogen/oai/client.py +++ b/autogen/oai/client.py @@ -7,6 +7,7 @@ from __future__ import annotations import inspect +import json import logging import re import sys @@ -14,7 +15,8 @@ import warnings from typing import Any, Callable, Optional, Protocol, Union -from pydantic import BaseModel, schema_json_of +from pydantic import BaseModel +from pydantic.type_adapter import TypeAdapter from ..cache import Cache from ..doc_utils import export_module @@ -970,7 +972,10 @@ def yes_or_no_filter(context, response): with cache_client as cache: # Try to get the response from cache key = get_key( - {**params, **{"response_format": schema_json_of(params["response_format"])}} + { + **params, + **{"response_format": json.dumps(TypeAdapter(params["response_format"]).json_schema())}, + } if "response_format" in params else params ) diff --git a/autogen/tools/function_utils.py b/autogen/tools/function_utils.py index 65d4f24375..90bc85c15c 100644 --- a/autogen/tools/function_utils.py +++ b/autogen/tools/function_utils.py @@ -10,10 +10,11 @@ from logging import getLogger from typing import Annotated, Any, Callable, ForwardRef, Optional, TypeVar, Union -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, TypeAdapter +from pydantic._internal._typing_extra import try_eval_type +from pydantic.json_schema import JsonSchemaValue from typing_extensions import Literal, get_args, get_origin -from .._pydantic import JsonSchemaValue, evaluate_forwardref, model_dump, model_dump_json, type2schema from ..doc_utils import export_module from .dependency_injection import Field as AG2Field @@ -38,7 +39,7 @@ def get_typed_annotation(annotation: Any, globalns: dict[str, Any]) -> Any: annotation = annotation.description if isinstance(annotation, str): annotation = ForwardRef(annotation) - annotation = evaluate_forwardref(annotation, globalns, globalns) + annotation, _ = try_eval_type(annotation, globalns, globalns) return annotation @@ -145,7 +146,7 @@ def type2description(k: str, v: Union[Annotated[type[Any], str], type[Any]]) -> else: raise ValueError(f"Invalid {retval} for parameter {k}, should be a DescriptionField, got {type(retval)}") - schema = type2schema(v) + schema = TypeAdapter(v).json_schema() if k in default_values: dv = default_values[k] schema["default"] = dv @@ -294,7 +295,7 @@ def f(a: Annotated[str, "Parameter a"], b: int = 2, c: Annotated[float, "Paramet ) ) - return model_dump(function) + return function.model_dump() def get_load_param_if_needed_function(t: Any) -> Optional[Callable[[dict[str, Any], type[BaseModel]], BaseModel]]: @@ -371,7 +372,7 @@ def serialize_to_str(x: Any) -> str: if isinstance(x, str): return x if isinstance(x, BaseModel): - return model_dump_json(x) + return x.model_dump_json() retval_model = _SerializableResult(result=x) try: diff --git a/pyproject.toml b/pyproject.toml index 2faad63537..b34dcb3e3a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -164,7 +164,7 @@ interop =[ autobuild = ["chromadb", "sentence-transformers", "huggingface-hub", "pysqlite3-binary"] blendsearch = ["flaml[blendsearch]"] -mathchat = ["sympy", "pydantic==1.10.9", "wolframalpha"] +mathchat = ["sympy", "wolframalpha"] captainagent = ["pyautogen[autobuild]", "pandas"] teachable = ["chromadb"] lmm = ["replicate", "pillow"] @@ -369,7 +369,6 @@ files = [ "autogen/exception_utils.py", "autogen/coding", "autogen/oai/openai_utils.py", - "autogen/_pydantic.py", "autogen/io", "autogen/tools", "autogen/interop", @@ -378,7 +377,6 @@ files = [ "autogen/import_utils.py", "autogen/agentchat/contrib/rag", "website/*.py", - "test/test_pydantic.py", "test/io", "test/tools", "test/interop", diff --git a/test/test_pydantic.py b/test/test_pydantic.py deleted file mode 100644 index 7e0aa25ffe..0000000000 --- a/test/test_pydantic.py +++ /dev/null @@ -1,46 +0,0 @@ -# Copyright (c) 2023 - 2025, AG2ai, Inc., AG2ai open-source projects maintainers and core contributors -# -# SPDX-License-Identifier: Apache-2.0 -# -# Portions derived from https://github.com/microsoft/autogen are under the MIT License. -# SPDX-License-Identifier: MIT -from typing import Annotated, Optional, Union - -from pydantic import BaseModel - -from autogen._pydantic import model_dump, model_dump_json, type2schema - - -def test_type2schema() -> None: - assert type2schema(str) == {"type": "string"} - assert type2schema(int) == {"type": "integer"} - assert type2schema(float) == {"type": "number"} - assert type2schema(bool) == {"type": "boolean"} - assert type2schema(None) == {"type": "null"} - assert type2schema(Optional[int]) == {"anyOf": [{"type": "integer"}, {"type": "null"}]} - assert type2schema(list[int]) == {"items": {"type": "integer"}, "type": "array"} - assert type2schema(tuple[int, float, str]) == { - "maxItems": 3, - "minItems": 3, - "prefixItems": [{"type": "integer"}, {"type": "number"}, {"type": "string"}], - "type": "array", - } - assert type2schema(dict[str, int]) == {"additionalProperties": {"type": "integer"}, "type": "object"} - assert type2schema(Annotated[str, "some text"]) == {"type": "string"} - assert type2schema(Union[int, float]) == {"anyOf": [{"type": "integer"}, {"type": "number"}]} - - -def test_model_dump() -> None: - class A(BaseModel): - a: str - b: int = 2 - - assert model_dump(A(a="aaa")) == {"a": "aaa", "b": 2} - - -def test_model_dump_json() -> None: - class A(BaseModel): - a: str - b: int = 2 - - assert model_dump_json(A(a="aaa")).replace(" ", "") == '{"a":"aaa","b":2}' diff --git a/test/tools/test_function_utils.py b/test/tools/test_function_utils.py index 10691364e9..b8dd40326e 100644 --- a/test/tools/test_function_utils.py +++ b/test/tools/test_function_utils.py @@ -12,7 +12,6 @@ import pytest from pydantic import BaseModel, Field -from autogen._pydantic import PYDANTIC_V1, model_dump from autogen.tools.dependency_injection import Field as AG2Field from autogen.tools.function_utils import ( get_default_values, @@ -176,7 +175,7 @@ def f( # type: ignore[no-untyped-def] "required": ["a"], } - actual = model_dump(get_parameters(required, param_annotations, default_values)) + actual = (get_parameters(required, param_annotations, default_values)).model_dump() assert actual == expected, actual @@ -231,7 +230,7 @@ def f(a: Annotated[str, "Parameter a"], b, c: Annotated[float, "Parameter c"] = def test_get_function_schema() -> None: - expected_v2 = { + expected = { "type": "function", "function": { "description": "function g", @@ -261,46 +260,11 @@ def test_get_function_schema() -> None: }, } - # the difference is that the v1 version does not handle Union types (Optional is Union[T, None]) - expected_v1 = { - "type": "function", - "function": { - "description": "function g", - "name": "fancy name for g", - "parameters": { - "type": "object", - "properties": { - "a": {"type": "string", "description": "Parameter a"}, - "b": {"type": "integer", "description": "b", "default": 2}, - "c": {"type": "number", "description": "Parameter c", "default": 0.1}, - "d": { - "type": "object", - "additionalProperties": { - "type": "array", - "minItems": 2, - "maxItems": 2, - "items": [{"type": "integer"}, {"type": "array", "items": {"type": "number"}}], - }, - "description": "d", - }, - }, - "required": ["a", "d"], - }, - }, - } - actual = get_function_schema(g, description="function g", name="fancy name for g") - - if PYDANTIC_V1: - assert actual == expected_v1, actual - else: - assert actual == expected_v2, actual + assert actual == expected, actual actual = get_function_schema(a_g, description="function g", name="fancy name for g") - if PYDANTIC_V1: - assert actual == expected_v1, actual - else: - assert actual == expected_v2, actual + assert actual == expected, actual CurrencySymbol = Literal["USD", "EUR"] From 0a32286d7267a714e83795f513934d00213c7eae Mon Sep 17 00:00:00 2001 From: Darya <127833442+defiberrys@users.noreply.github.com> Date: Tue, 4 Feb 2025 06:12:09 +0300 Subject: [PATCH 8/9] docs: Fix grammar in image addition instructions (#752) --- website/docs/use-cases/community-gallery/community-gallery.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/use-cases/community-gallery/community-gallery.mdx b/website/docs/use-cases/community-gallery/community-gallery.mdx index aacedb2240..3eb94a993b 100644 --- a/website/docs/use-cases/community-gallery/community-gallery.mdx +++ b/website/docs/use-cases/community-gallery/community-gallery.mdx @@ -20,7 +20,7 @@ Thank you for your interest in contributing! To add your demo to the gallery, pl - Updated `website/snippets/data/GalleryItems.mdx` file with your application entry. - - The application image added to the `static/img/gallery` directory if the image is local. If the image is hosted online, just update the `image` property with the URL of the image. + - The application image should be added to the `static/img/gallery` directory if the image is local. If the image is hosted online, just update the `image` property with the URL of the image. - Below is an example of an entry in the `website/snippets/data/GalleryItems.mdx` file: From 15e90f0991174a3adeeb2a49075e3f6d445111ae Mon Sep 17 00:00:00 2001 From: Harish Mohan Raj Date: Tue, 4 Feb 2025 08:43:55 +0530 Subject: [PATCH 9/9] [Docs] Clean up console output during documentation build (#759) * WIP * WIP * Fix warnings raised while building the docs * check __exported_module__ only for current class * Comment unwanted print statement * Fix tests * Fix broken workflow file * Add getter and setter methods in the protocol class for accessing the __exported_module__ property --- autogen/_website/generate_api_references.py | 17 ++++++++++------- .../experimental/clients/gemini/client.py | 8 ++++++++ .../experimental/clients/oai/base_client.py | 8 ++++++++ .../experimental/clients/realtime_client.py | 6 ++++++ autogen/doc_utils.py | 5 ++++- autogen/import_utils.py | 4 ++-- test/agentchat/realtime_agent/test_submodule.py | 1 + test/test_logging.py | 4 ++-- 8 files changed, 41 insertions(+), 12 deletions(-) diff --git a/autogen/_website/generate_api_references.py b/autogen/_website/generate_api_references.py index 041a29bd29..2f4e059638 100755 --- a/autogen/_website/generate_api_references.py +++ b/autogen/_website/generate_api_references.py @@ -7,7 +7,6 @@ import argparse import importlib import json -import logging import os import pkgutil import shutil @@ -22,9 +21,6 @@ import pdoc from jinja2 import Template -logging.basicConfig(level=logging.INFO) -logger = logging.getLogger(__name__) - def import_submodules(module_name: str, *, include_root: bool = True) -> list[str]: """List all submodules of a given module. @@ -76,8 +72,15 @@ def build_pdoc_dict(module_name: str) -> None: if not hasattr(obj, "__name__") or name.startswith("_"): continue - if hasattr(obj, "__module__") and obj.__module__ != module_name: - print(f"Skipping {obj.__module__}.{obj.__name__} because it is not from {module_name}") + # Check if __exported_module__ is directly defined on this class (not inherited). + # This ensures we only process classes that were explicitly decorated with @export_module, + # ignoring classes that might inherit this attribute from their parent classes. + if ( + hasattr(obj, "__dict__") + and "__exported_module__" in obj.__dict__ + and obj.__exported_module__ != module_name + ): + # print(f"Skipping {obj.__module__}.{obj.__name__} because it is not from {module_name}") module.__pdoc__[name] = False @@ -110,7 +113,7 @@ def generate(target_dir: Path, template_dir: Path) -> None: pdoc.tpl_lookup.directories.insert(0, str(template_dir)) submodules = import_submodules("autogen") - print(f"{submodules=}") + # print(f"{submodules=}") for submodule in submodules: build_pdoc_dict(submodule) diff --git a/autogen/agentchat/realtime/experimental/clients/gemini/client.py b/autogen/agentchat/realtime/experimental/clients/gemini/client.py index 898ffc3237..ac598da81d 100644 --- a/autogen/agentchat/realtime/experimental/clients/gemini/client.py +++ b/autogen/agentchat/realtime/experimental/clients/gemini/client.py @@ -78,6 +78,14 @@ def connection(self) -> "ClientConnection": raise RuntimeError("Gemini WebSocket is not initialized") return self._connection + @classmethod + def _get__exported_module__(cls) -> str: + return cls.__exported_module__ + + @classmethod + def _set__exported_module__(cls, module: str) -> None: + cls.__exported_module__ = module + async def send_function_result(self, call_id: str, result: str) -> None: """Send the result of a function call to the Gemini Realtime API. diff --git a/autogen/agentchat/realtime/experimental/clients/oai/base_client.py b/autogen/agentchat/realtime/experimental/clients/oai/base_client.py index 6c11b911f2..27c591dc92 100644 --- a/autogen/agentchat/realtime/experimental/clients/oai/base_client.py +++ b/autogen/agentchat/realtime/experimental/clients/oai/base_client.py @@ -74,6 +74,14 @@ def connection(self) -> AsyncRealtimeConnection: raise RuntimeError("OpenAI WebSocket is not initialized") return self._connection + @classmethod + def _get__exported_module__(cls) -> str: + return cls.__exported_module__ + + @classmethod + def _set__exported_module__(cls, module: str) -> None: + cls.__exported_module__ = module + async def send_function_result(self, call_id: str, result: str) -> None: """Send the result of a function call to the OpenAI Realtime API. diff --git a/autogen/agentchat/realtime/experimental/clients/realtime_client.py b/autogen/agentchat/realtime/experimental/clients/realtime_client.py index a9f2009404..2554109d46 100644 --- a/autogen/agentchat/realtime/experimental/clients/realtime_client.py +++ b/autogen/agentchat/realtime/experimental/clients/realtime_client.py @@ -18,6 +18,12 @@ @runtime_checkable @export_module("autogen.agentchat.realtime.experimental.clients") class RealtimeClientProtocol(Protocol): + @classmethod + def _get__exported_module__(cls) -> str: ... + + @classmethod + def _set__exported_module__(cls, value: str) -> None: ... + async def send_function_result(self, call_id: str, result: str) -> None: """Send the result of a function call to a Realtime API. diff --git a/autogen/doc_utils.py b/autogen/doc_utils.py index 0a82bbb4aa..9ca31ca120 100644 --- a/autogen/doc_utils.py +++ b/autogen/doc_utils.py @@ -11,7 +11,10 @@ def export_module(module: str) -> Callable[[T], T]: def decorator(cls: T) -> T: - setattr(cls, "__module__", module) + if hasattr(cls, "_set__exported_module__"): + cls._set__exported_module__(module) + return cls + setattr(cls, "__exported_module__", module) return cls return decorator diff --git a/autogen/import_utils.py b/autogen/import_utils.py index f6cb3e29cc..38b0bff3dc 100644 --- a/autogen/import_utils.py +++ b/autogen/import_utils.py @@ -45,9 +45,9 @@ def optional_import_block() -> Generator[Result, None, None]: try: yield result result._failed = False - except ImportError as e: + except ImportError: # Ignore ImportErrors during this context - logger.info(f"Ignoring ImportError: {e}") + # logger.info(f"Ignoring ImportError: {e}") result._failed = True diff --git a/test/agentchat/realtime_agent/test_submodule.py b/test/agentchat/realtime_agent/test_submodule.py index f70f2758f3..31d0aa717c 100644 --- a/test/agentchat/realtime_agent/test_submodule.py +++ b/test/agentchat/realtime_agent/test_submodule.py @@ -23,5 +23,6 @@ def test_import_clients() -> None: assert RealtimeClientProtocol is not None assert Role is not None + assert issubclass(GeminiRealtimeClient, RealtimeClientProtocol) assert issubclass(OpenAIRealtimeClient, RealtimeClientProtocol) diff --git a/test/test_logging.py b/test/test_logging.py index 7a04cf7fae..8d34141a4a 100644 --- a/test/test_logging.py +++ b/test/test_logging.py @@ -296,8 +296,8 @@ def build(self): assert result["o"] == expected_o_field assert len(result["agents"]) == 2 for agent in result["agents"]: - assert "autogen.ConversableAgent" in agent - assert "autogen.ConversableAgent" in result["first_agent"] + assert "autogen.agentchat.conversable_agent.ConversableAgent" in agent + assert "autogen.agentchat.conversable_agent.ConversableAgent" in result["first_agent"] @patch("logging.Logger.error")